arXiv is now an independent nonprofit! Learn more
License: CC BY 4.0
arXiv:2106.06405v2 [astro-ph.HE] 14 Jun 2021

Evidence of 100 TeV γ\gamma-ray emission from HESS J1702-420: A new PeVatron candidatePreprint: H.E.S.S. collaboration,
;
* Corresponding authors

H. Abdalla Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    F. Aharonian Affiliation: Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Affiliation: High Energy Astrophysics Laboratory, RAU, 123 Hovsep Emin St Yerevan 0051, Armenia    F. Ait Benkhali Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    E.O. Angüner Affiliation: Aix Marseille Université, CNRS/IN2P3, CPPM, Marseille, France    C. Arcaro Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    C. Armand Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    T. Armstrong Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    H. Ashkar Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    M. Backes Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    V. Baghmanyan Affiliation: Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland    V. Barbosa Martins Affiliation: DESY, D-15738 Zeuthen, Germany    A. Barnacka Affiliation: Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland    M. Barnard Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    Y. Becherini Affiliation: Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden    D. Berge Affiliation: DESY, D-15738 Zeuthen, Germany    K. Bernlöhr Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    B. Bi Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    M. Böttcher Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    C. Boisson Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    J. Bolmont Affiliation: Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 Place Jussieu, F-75252 Paris, France    M. de Bony de Lavergne Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    M. Breuhaus Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    F. Brun Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    P. Brun Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    M. Bryan Affiliation: GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands    M. Büchele Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    T. Bulik Affiliation: Astronomical Observatory, The University of Warsaw, Al. Ujazdowskie 4, 00-478 Warsaw, Poland    T. Bylund Affiliation: Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden    S. Caroff Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    A. Carosi Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    S. Casanova Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Affiliation: Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland    T. Chand Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    S. Chandra Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    A. Chen Affiliation: School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa    G. Cotter Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    M. Curyło Affiliation: Astronomical Observatory, The University of Warsaw, Al. Ujazdowskie 4, 00-478 Warsaw, Poland    J. Damascene Mbarubucyeye Affiliation: DESY, D-15738 Zeuthen, Germany    I.D. Davids Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    J. Davies Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    C. Deil Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    J. Devin Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    L. Dirson Affiliation: Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany    A. Djannati-Ataï Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    A. Dmytriiev Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    A. Donath Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    V. Doroshenko Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    L. Dreyer Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    C. Duffy Affiliation: Department of Physics and Astronomy, The University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom    J. Dyks Affiliation: Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland    K. Egberts Affiliation: Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany    F. Eichhorn Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    S. Einecke Affiliation: School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia    G. Emery Affiliation: Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 Place Jussieu, F-75252 Paris, France    J.-P. Ernenwein Affiliation: Aix Marseille Université, CNRS/IN2P3, CPPM, Marseille, France    K. Feijen Affiliation: School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia    S. Fegan Affiliation: Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France    A. Fiasson Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    G. Fichet de Clairfontaine Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    G. Fontaine Affiliation: Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France    S. Funk Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    M. Füßling Affiliation: DESY, D-15738 Zeuthen, Germany    S. Gabici Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    Y.A. Gallant Affiliation: Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France    G. Giavitto Affiliation: DESY, D-15738 Zeuthen, Germany    L. Giunti * Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    D. Glawion Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    J.F. Glicenstein Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    M.-H. Grondin Affiliation: Université Bordeaux, CNRS/IN2P3, Centre d’Études Nucléaires de Bordeaux Gradignan, 33175 Gradignan, France    J. Hahn Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    M. Haupt Affiliation: DESY, D-15738 Zeuthen, Germany    G. Hermann Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    J.A. Hinton Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    W. Hofmann Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    C. Hoischen Affiliation: Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany    T. L. Holch Affiliation: DESY, D-15738 Zeuthen, Germany    M. Holler Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    M. Hörbe Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    D. Horns Affiliation: Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany    D. Huber Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    M. Jamrozy Affiliation: Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland    D. Jankowsky Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    F. Jankowsky Affiliation: Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany    A. Jardin-Blicq Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    V. Joshi Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    I. Jung-Richardt Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    E. Kasai Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    M.A. Kastendieck Affiliation: Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany    K. Katarzyński Affiliation: Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland    U. Katz Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    D. Khangulyan Affiliation: Department of Physics, Rikkyo University, 3-34-1 Nishi-Ikebukuro, Toshima-ku, Tokyo 171-8501, Japan    B. Khélifi * Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    S. Klepser Affiliation: DESY, D-15738 Zeuthen, Germany    W. Kluźniak Affiliation: Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland    Nu. Komin Affiliation: School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa    R. Konno Affiliation: DESY, D-15738 Zeuthen, Germany    K. Kosack * Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    D. Kostunin Affiliation: DESY, D-15738 Zeuthen, Germany    M. Kreter Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    G. Lamanna Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    A. Lemière Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    M. Lemoine-Goumard Affiliation: Université Bordeaux, CNRS/IN2P3, Centre d’Études Nucléaires de Bordeaux Gradignan, 33175 Gradignan, France    J.-P. Lenain Affiliation: Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 Place Jussieu, F-75252 Paris, France    F. Leuschner Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    C. Levy Affiliation: Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 Place Jussieu, F-75252 Paris, France    T. Lohse Affiliation: Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany    I. Lypova Affiliation: DESY, D-15738 Zeuthen, Germany    J. Mackey Affiliation: Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland    J. Majumdar Affiliation: DESY, D-15738 Zeuthen, Germany    D. Malyshev Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    D. Malyshev Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    V. Marandon Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    P. Marchegiani Affiliation: School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa    A. Marcowith Affiliation: Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France    A. Mares Affiliation: Université Bordeaux, CNRS/IN2P3, Centre d’Études Nucléaires de Bordeaux Gradignan, 33175 Gradignan, France    G. Martí-Devesa Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    R. Marx Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Affiliation: Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany    G. Maurin Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    P.J. Meintjes Affiliation: Department of Physics, University of the Free State, PO Box 339, Bloemfontein 9300, South Africa    M. Meyer Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    A. Mitchell Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    R. Moderski Affiliation: Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland    L. Mohrmann Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    A. Montanari Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    C. Moore Affiliation: Department of Physics and Astronomy, The University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom    P. Morris Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    E. Moulin Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    J. Muller Affiliation: Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France    T. Murach Affiliation: DESY, D-15738 Zeuthen, Germany    K. Nakashima Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    A. Nayerhoda Affiliation: Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland    M. de Naurois Affiliation: Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France    H. Ndiyavala Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    J. Niemiec Affiliation: Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland    L. Oakes Affiliation: Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany    P. O’Brien Affiliation: Department of Physics and Astronomy, The University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom    H. Odaka Affiliation: Department of Physics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan    S. Ohm Affiliation: DESY, D-15738 Zeuthen, Germany    L. Olivera-Nieto Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    E. de Ona Wilhelmi Affiliation: DESY, D-15738 Zeuthen, Germany    M. Ostrowski Affiliation: Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland    S. Panny Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    M. Panter Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    R.D. Parsons Affiliation: Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany    G. Peron Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    B. Peyaud Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    Q. Piel Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    S. Pita Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    V. Poireau Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    A. Priyana Noel Affiliation: Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland    D.A. Prokhorov Affiliation: GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands    H. Prokoph Affiliation: DESY, D-15738 Zeuthen, Germany    G. Pühlhofer Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    M. Punch Affiliation: Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    A. Quirrenbach Affiliation: Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany    S. Raab Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    R. Rauth Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    P. Reichherzer Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    A. Reimer Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    O. Reimer Affiliation: Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität Innsbruck, A-6020 Innsbruck, Austria    Q. Remy Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    M. Renaud Affiliation: Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France    F. Rieger Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    L. Rinchiuso Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    C. Romoli Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    G. Rowell Affiliation: School of Physical Sciences, University of Adelaide, Adelaide 5005, Australia    B. Rudak Affiliation: Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland    E. Ruiz-Velasco Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    V. Sahakian Affiliation: Yerevan Physics Institute, 2 Alikhanian Brothers St., 375036 Yerevan, Armenia    S. Sailer Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    H. Salzmann Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    D.A. Sanchez Affiliation: Laboratoire d’Annecy de Physique des Particules, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAPP, 74000 Annecy, France    A. Santangelo Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    M. Sasaki Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    M. Scalici Affiliation: Institut für Astronomie und Astrophysik, Universität Tübingen, Sand 1, D 72076 Tübingen, Germany    J. Schäfer Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    F. Schüssler Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    H.M. Schutte Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    U. Schwanke Affiliation: Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D 12489 Berlin, Germany    M. Seglar-Arroyo Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    M. Senniappan Affiliation: Department of Physics and Electrical Engineering, Linnaeus University, 351 95 Växjö, Sweden    A.S. Seyffert Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    N. Shafi Affiliation: School of Physics, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2050 South Africa    J.N.S. Shapopi Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    K. Shiningayamwe Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    R. Simoni Affiliation: GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands    A. Sinha Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    H. Sol Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    A. Specovius Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    S. Spencer Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    M. Spir-Jacob Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    Ł. Stawarz Affiliation: Obserwatorium Astronomiczne, Uniwersytet Jagielloński, ul. Orla 171, 30-244 Kraków, Poland    L. Sun Affiliation: GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands    R. Steenkamp Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    C. Stegmann Affiliation: DESY, D-15738 Zeuthen, Germany Affiliation: Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany    S. Steinmassl Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    C. Steppa Affiliation: Institut für Physik und Astronomie, Universität Potsdam, Karl-Liebknecht-Strasse 24/25, D 14476 Potsdam, Germany    T. Takahashi Affiliation: Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa, Chiba, 277-8583, Japan    T. Tavernier Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France    A.M. Taylor Affiliation: DESY, D-15738 Zeuthen, Germany    R. Terrier * Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    J. H.E. Thiersen Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    D. Tiziani Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    M. Tluczykont Affiliation: Universität Hamburg, Institut für Experimentalphysik, Luruper Chaussee 149, D 22761 Hamburg, Germany    L. Tomankova Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    C. Trichard Affiliation: Laboratoire Leprince-Ringuet, École Polytechnique, CNRS, Institut Polytechnique de Paris, F-91128 Palaiseau, France    M. Tsirou Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    R. Tuffs Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    Y. Uchiyama Affiliation: Department of Physics, Rikkyo University, 3-34-1 Nishi-Ikebukuro, Toshima-ku, Tokyo 171-8501, Japan    D.J. van der Walt Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    C. van Eldik Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    C. van Rensburg Affiliation: University of Namibia, Department of Physics, Private Bag 13301, Windhoek 10005, Namibia    B. van Soelen Affiliation: Department of Physics, University of the Free State, PO Box 339, Bloemfontein 9300, South Africa    G. Vasileiadis Affiliation: Laboratoire Univers et Particules de Montpellier, Université Montpellier, CNRS/IN2P3, CC 72, Place Eugène Bataillon, F-34095 Montpellier Cedex 5, France    J. Veh Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    C. Venter Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    P. Vincent Affiliation: Sorbonne Université, Université Paris Diderot, Sorbonne Paris Cité, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 Place Jussieu, F-75252 Paris, France    J. Vink Affiliation: GRAPPA, Anton Pannekoek Institute for Astronomy, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands    H.J. Völk Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    Z. Wadiasingh Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    S.J. Wagner Affiliation: Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany    J. Watson Affiliation: University of Oxford, Department of Physics, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK    F. Werner Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    R. White Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    A. Wierzcholska Affiliation: Instytut Fizyki Ja̧drowej PAN, ul. Radzikowskiego 152, 31-342 Kraków, Poland Affiliation: Landessternwarte, Universität Heidelberg, Königstuhl, D 69117 Heidelberg, Germany    Yu Wun Wong Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    A. Yusafzai Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Centre for Astroparticle Physics, Erwin-Rommel-Str. 1, D 91058 Erlangen, Germany    M. Zacharias Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    R. Zanin Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    D. Zargaryan Affiliation: Dublin Institute for Advanced Studies, 31 Fitzwilliam Place, Dublin 2, Ireland Affiliation: High Energy Astrophysics Laboratory, RAU, 123 Hovsep Emin St Yerevan 0051, Armenia    A.A. Zdziarski Affiliation: Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, ul. Bartycka 18, 00-716 Warsaw, Poland    A. Zech Affiliation: Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190 Meudon, France    S.J. Zhu Affiliation: DESY, D-15738 Zeuthen, Germany    J. Zorn Affiliation: Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany    S. Zouari Affiliation: Université de Paris, CNRS, Astroparticule et Cosmologie, F-75013 Paris, France    N. Żywucka (H.E.S.S. Collaboration) Affiliation: Centre for Space Research, North-West University, Potchefstroom 2520, South Africa    F. Acero Email: contact.hess@hess-experiment.eu Affiliation: IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
Received: 01/04/2021; Accepted: 08/06/2021
Abstract

Aims. The identification of PeVatrons, hadronic particle accelerators reaching the knee of the cosmic ray spectrum (few× 1015eV\text{few}\,{\small\times}\,10^{15}\,\mathrm{eV}), is crucial to understand the origin of cosmic rays in the Galaxy. We provide an update on the unidentified source HESS J1702-420, a promising PeVatron candidate.

Methods. We present new observations of HESS J1702-420 made with the High Energy Stereoscopic System (H.E.S.S.), and processed using improved analysis techniques. The analysis configuration was optimized to enhance the collection area at the highest energies. We applied a three-dimensional (3D) likelihood analysis to model the source region and adjust non thermal radiative spectral models to the γ\gamma-ray data. We also analyzed archival Fermi Large Area Telescope (LAT) data to constrain the source spectrum at γ\gamma-ray energies >10GeV>10\,\text{GeV}.

Results. We report the detection of γ\gamma-rays up to 100TeV100\,\text{TeV} from a specific region of HESS J1702-420, which is well described by a new source component called HESS J1702-420A that was separated from the bulk of TeV emission at a 5.4σ5.4\sigma confidence level. The power law γ\gamma-ray spectrum of HESS J1702-420A extends with an index of Γ=1.53±0.19stat±0.20sys\Gamma=1.53\pm 0.19_{\text{stat}}\pm 0.20_{\text{sys}} and without curvature up to the energy band 64113TeV64-113\,\text{TeV}, in which it was detected by H.E.S.S. at a 4.0σ4.0\sigma confidence level. This makes HESS J1702-420A a compelling candidate site for the presence of extremely high energy cosmic rays. With a flux above 2TeV2\,\text{TeV} of (2.08±0.49stat±0.62sys)×1013cm2s1(2.08\pm 0.49_{\text{stat}}\pm 0.62_{\text{sys}})\times 10^{-13}\,\text{cm}^{-2}\,\text{s}^{-1} and a radius of (0.06±0.02stat±0.03sys)o(0.06\pm 0.02_{\text{stat}}\pm 0.03_{\text{sys}})^{\,\text{o}}, HESS J1702-420A is outshone — below a few tens of TeV — by the companion HESS J1702-420B. The latter has a steep spectral index of Γ=2.62±0.10stat±0.20sys\Gamma=2.62\pm 0.10_{\text{stat}}\pm 0.20_{\text{sys}} and an elongated shape, and it accounts for most of the low-energy HESS J1702-420 flux. Simple hadronic and leptonic emission models can be well adjusted to the spectra of both components. Remarkably, in a hadronic scenario, the cut-off energy of the particle distribution powering HESS J1702-420A is found to be higher than 0.5PeV0.5\,\text{PeV} at a 95%95\% confidence level.

Conclusions. For the first time, H.E.S.S. resolved two components with significantly different morphologies and spectral indices, both detected at >5σ>5\sigma confidence level, whose combined emissions result in the source HESS J1702-420. We detected HESS J1702-420A at a 4.0σ4.0\sigma confidence level in the energy band 64113TeV64-113\,\text{TeV}, which brings evidence for the source emission up to 100TeV100\,\text{TeV}. In a hadronic emission scenario, the hard γ\gamma-ray spectrum of HESS J1702-420A implies that the source likely harbors PeV protons, thus becoming one of the most solid PeVatron candidates detected so far in H.E.S.S. data. However, a leptonic origin of the observed TeV emission cannot be ruled out either.

1 Introduction

The acceleration sites of cosmic rays11 1 Throughout this paper, unless otherwise specified, this term always refers to hadronic cosmic rays. are a century-old unknown in modern astrophysics (Hess 1912). The current understanding is that the bulk of cosmic rays reaching Earth — mostly energetic protons — originate within our Galaxy, outside of the solar system, at unknown sites where they are accelerated up to the energy of the knee feature in the cosmic ray spectrum (Berezinskii et al. 1990; Gaisser et al. 2016). Since the measured knee energy is around 343-4 PeV (Apel et al. 2013), the Galactic accelerators responsible for cosmic rays up to the knee are called PeVatrons. Several source populations have been proposed as potential PeVatron candidates: among them, supernova remnants (SNRs) and young massive stellar clusters stand out as well motivated cases (Bell 2014; Aharonian et al. 2019). However, to date no observation has definitively linked any particular source class to the acceleration of PeV protons. The H.E.S.S. Collaboration has already reported evidence for the acceleration of PeV protons in the central molecular zone around Sgr A (H.E.S.S. Collaboration et al. 2016; H. E. S. S. Collaboration et al. 2018), at a level that is presently insufficient to sustain the flux of PeV cosmic rays observed at Earth. Recent searches for a high-energy cut-off in the spectrum of the diffuse emission around Sgr A have led to unclear conclusions, with MAGIC reporting a 2σ2\sigma hint for a spectral turnover around 20TeV\approx 20\,\text{TeV} and VERITAS measuring a straight power law up to 40TeV40\,\text{TeV} (MAGIC Collaboration et al. 2020; Adams et al. 2021).

Observations of the very high energy (VHE; 0.1Eγ1000.1\lesssim E_{\gamma}\lesssim 100 TeV) γ\gamma-ray sky with ground-based telescope arrays such as the High Energy Stereoscopic System (H.E.S.S.), providing relatively good angular and energy resolution as well as high sensitivity (H.E.S.S. Collaboration et al. 2018), represent a unique tool to improve our understanding of cosmic ray physics. Charged cosmic particles radiate in this energy band due to interactions with the interstellar medium (ISM) or to the up-scattering of diffuse low-energy radiation fields. The H.E.S.S. Galactic Plane Survey (HGPS) catalog (H.E.S.S. Collaboration et al. 2018) lists 78 VHE γ\gamma-ray sources, most of which have been identified as of today — or at least likely associated — with multi wavelength counterparts. However, a handful of sources remain completely unidentified. Having no clear counterpart at other wavelength, they are categorized as dark TeV sources (Aharonian et al. 2008). Experience has shown that several such objects, despite being unidentified at first, were later classified as evolved pulsar wind nebulae (PWNe), based on the discovery of energy-dependent morphologies and compact X-ray counterparts (H.E.S.S. Collaboration et al. 2012; H.E.S.S. Collaboration et al. 2019). However, a leptonic scenario, in which the VHE γ\gamma-ray emission is powered by relativistic electrons up-scattering ambient radiation fields, might not necessarily suit all of the remaining dark sources.

HESS J1702-420 is a long-known but poorly understood VHE γ\gamma-ray source. It was discovered during the first Galactic plane survey campaign with a significance of 4σ4\sigma, based on a 5.7hr5.7\,\mathrm{hr} observation livetime (Aharonian et al. 2006). In Aharonian et al. 2008, a dedicated analysis revealed a hard power law22 2 Hearafter, the term power law refers to the functional form dN/dE(E)=Φref(E/Eref)ΓdN/dE(E)=\Phi_{\text{ref}}(E/E_{\text{ref}})^{-\Gamma}, where Φref\Phi_{\text{ref}} is the spectral normalization at the reference energy ErefE_{\text{ref}} — usually chosen to correspond with the pivot energy which minimizes correlations between the spectral parameters —, and Γ\Gamma is the spectral index. spectral index of Γ=2.07±0.08stat±0.20sys\Gamma=2.07\pm 0.08_{\text{stat}}\pm 0.20_{\text{sys}}, with no sign of cut-off, and a significantly extended morphology which is well described by a 0.30o× 0.15o0.30^{\,\text{o}}\times\,0.15^{\,\text{o}} elliptical Gaussian template. With better reconstruction and data selection algorithms, the HGPS catalog confirmed the spectral hardness of the source, Γ=2.09±0.07stat±0.20sys\Gamma=2.09\pm 0.07_{\text{stat}}\pm 0.20_{\text{sys}}, and estimated a source significance of 15σ15\sigma based on 9.5hr9.5\,\text{hr} of observations. It simplified however the source morphology to a 0.2o0.2^{\,\text{o}} symmetric Gaussian, due to the noninclusion of elongated shapes in the semi-automated survey analysis chain.

The physical origin of the γ\gamma-ray emission from HESS J1702-420 is unknown. The remnant SNR G344.7-0.1 and the pulsar PSR J1702-4128 are within a 0.5o\approx 0.5^{\,\text{o}} aperture from the centroid of the TeV emission. The former is a 3kyr3\,\text{kyr} old (Giacani et al. 2011) and small-sized — 8arcmin8\,\text{arcmin} in diameter — SNR, whose centrally-peaked radio shell (Dubner et al. 1993; Whiteoak & Green 1996; Giacani et al. 2011) is also emitting thermal X-rays (Yamaguchi et al. 2012; Combi et al. 2010), with the brightest X-ray and radio features close to each other (Giacani et al. 2011). Recently, the Fermi-LAT association 2FHL J1703.4-4145, with the hard spectral index Γ1.2\Gamma\approx 1.2, was discovered on the western edge of the SNR (Eagle et al. 2020). The core-collapse origin of the supernova is debated, due to the absence of a compact remnant. Also controversial is the SNR distance (Eagle et al. 2020), for which a limit based on the high absorbing hydrogen column density is d8kpcd\gtrsim 8\,\text{kpc} (Yamaguchi et al. 2012). The cosmic ray diffusion time from the SNR to the VHE peak is compatible with the remnant age (Eagle et al. 2020), which suggests that both 2FHL J1703.4-4145 and HESS J1702-420 may be associated with SNR G344.7-0.1. However, the detection of an extended and bright TeV source at d8kpcd\gtrsim 8\,\text{kpc} in the Galactic plane is unlikely given H.E.S.S. sensitivity (H.E.S.S. Collaboration et al. 2018). Moreover, the surrounding ISM does not exhibit any clear morphological association with the VHE γ\gamma-ray source (Lau et al. 2018), a fact that challenges a hadronic interpretation of the TeV emission. With a spin-down luminosity E˙=3.4×1035ergs1\dot{E}=3.4\times 10^{35}\,\text{erg}\,\text{s}^{-1}, the large-offset pulsar PSR J1702-4128 would need a conversion efficiency >10%>10\% in order to power the whole TeV source, higher than all other PWNe identified by H.E.S.S. (Gallant 2007; H.E.S.S. Collaboration et al. 2018). This fact, together with the unconclusive searches for an asymmetric X-ray PWN around the pulsar (Chang et al. 2008), tend to disfavor an association of PSR J1702-4128 with HESS J1702-420. Finally, deep X-ray observations of the VHE source with Suzaku revealed the presence of two faint point-like sources close to the line of sight of HESS J1702-420, and the absence of extended emission, with an X-ray flux at least 12 times lower than the TeV flux in the Suzaku field of view (FoV) (Fujinaga et al. 2011).

This paper reports on new H.E.S.S. observations of HESS J1702-420 that have been processed with improved techniques. Additionally, archival Fermi-LAT data were analyzed, to perform a broadband modeling of the TeV source. The paper is structured as follows: first, the H.E.S.S. data analysis and results are presented (Section 2), with focus on the three-dimensional (3D) likelihood anaysis (Section 2.1) and a morphological study made with a more classical background estimation technique (Section 2.2). Then, Section 3 reports on the analysis of archival multi wavelength observations of the region, while Section 4 describes the adjustment of physically-motivated non thermal radiative models to the data and discusses possible interpretations of the new H.E.S.S. results in a broadband context. Finally, Section 5 summarizes the main conclusions of the paper.

2 H.E.S.S. data analysis and results

H.E.S.S. is an array of five imaging atmospheric Cherenkov telescopes (IACTs) located in the Khomas Highland of Namibia, 1800 m above sea level. The design of the original array (H.E.S.S. I), operating since 2003, involved four 12m12\,\text{m} diameter telescopes — CT1-4, whose cameras were upgraded in 2017 (Ashton et al. 2020) — at the corners of a 120m×120m120\,\text{m}\times 120\,\text{m} square. In 2012, a second phase began (H.E.S.S. II) with the addition of a 28m28\,\text{m} diameter telescope (CT5) at the center of the array.

All results presented in this paper make use of data collected from 2004 to 2019, using CT1-4 observations that have been carried out in multiple contexts: dedicated pointings on HESS J1702-420, observations of other nearby objects — mainly RX J1713-3946 and PSR B1706-44 — and Galactic plane scan observations for the HGPS campaign. This led to the accumulation of an acceptance-corrected livetime of 44.9hr44.9\,\text{hr}, obtained after selecting all runs with pointing direction within 3o3^{\,\text{o}} from the HGPS position of HESS J1702-420 (ll\,= 344.30o\,344.30^{\,\text{o}}, bb\,=0.18o\,-0.18^{\,\text{o}}) and averaging over a 0.5o0.5^{\,\text{o}} circle centered at the same location.

Observations were processed with the H.E.S.S. analysis package (HAP), applying a Hillas-type shower reconstruction (Hillas 1985) and the multi-variate analysis (MVA) technique (Becherini et al. 2012) for efficient γ/\gamma/hadron discrimination. Preselection and MVA discrimination cuts were optimized to improve the collection area at high energies (E>1TeVE>1\,\text{TeV}), assuming a γ\gamma-ray spectral index of 2.32.3\,. The reduced data and instrument response functions33 3 They are the effective area, exposure livetime, point-spread function, energy dispersion and background model. (IRFs) were exported to FITS files complying with the standard format developed by Deil et al. 2017a. Finally, all high-level analysis results — that is sky maps and spectra — were obtained using gammapy (version 0.17), an open source python library for γ\gamma-ray astronomy (Deil et al. 2017b; Nigro et al. 2019; Deil et al. 2020). The analysis cross-check was also performed with gammapy, by applying the same high-level analysis pipeline to data that were reduced according to an alternative low-level chain of calibration, reconstruction and γ\gamma-hadron separation methods (Ohm et al. 2009). Independent crosschecks for the classical morphological and spectral analyses presented in Section 2.2 and Appendix A were also carried out using the standard HAP software.

2.1 Three-dimensional likelihood analysis

Three-dimensional likelihood analysis, routinely used for high energy (HE; 0.2Eγ1000.2\lesssim E_{\gamma}\lesssim 100 GeV) γ\gamma-ray data processing (Mattox et al. 1996; Abdo et al. 2009), has been recently introduced in the VHE γ\gamma-ray astronomy domain (Mohrmann et al. 2019; Donath et al. 2015; Vovk et al. 2018). In its binned version, this technique allows the adjustment of a spectro-morphological model to a data cube, which carries information on the number of reconstructed events within 3D bins. The term 3D refers to the fact that the data are distributed along 2 spatial dimensions (e.g., Galactic longitude and latitude) plus 1 energy dimension. The model can be seen as a collection of spectral and spatial parametric shapes that are assumed to describe all γ\gamma-ray sources in the (source model), plus the residual hadronic background of γ\gamma-like events (background model). The model is convolved with the IRFs to predict the number of photons that would be detected by the telescope array within each spatial and spectral bin, based on the assumed model and its given parameter values. The 3D analysis allows the fine-tuning of all free parameters of the model, in such a way that the cube of model-predicted counts mimics as closely as possible the measured data cube. This approach is known as “forward-folding” (Piron et al. 2001).

We performed a 3D binned likelihood analysis of the region surrounding HESS J1702-420, in order to determine the best spectro-morphological model to describe the observed TeV emission. The next sections discuss the analysis setup (Section 2.1.1) and results (Section 2.1.2), while Section 2.1.3 focuses on the most relevant components of the model, that is those describing HESS J1702-420.

2.1.1 Background model and analysis setup

Number of runs Zenith [deg] Pointing offset from the source [deg] On-source livetime [hr] Observation period
26 17.8 - 35.1 0.2 - 1.4 9.7 2004 - 2011
166 16.3 - 35.9 1.6 - 2.8 1.8 2004 - 2014
88 36.1 - 62.4 2.2 - 2.8 0.0 2004 - 2014
80 37.5 - 59.1 0.3 - 0.8 33.4 2017 - 2019
Obtained by averaging over a 0.5o0.5^{\,\text{o}}-radius circle centered at the center of the HGPS position of HESS J1702-420. We observe that runs belonging to
the second and third groups were included to better contrain the background level in the source region. The fourth group contains all (and only) runs
taken after the 2017 camera upgrade (Ashton et al. 2020).
Table 1: Details on the four groups of H.E.S.S. observations, with similar pointing zenith angle and source offsets from the pointing direction, that were used for the 3D likelihood analysis.

H.E.S.S. data-taking consists of consecutive observations (also called runs), usually of 28 minutes duration. The background model was produced from a large set of empty-field — that is devoid of known γ\gamma-ray sources — observations, following an approach similar to the one described in Mohrmann et al. 2019. We first produced a general model in the form of a lookup table, describing the residual hadronic background as a function of few observational parameters — namely, the zenith angle and optical efficiency. We then assigned each observation a specific background model, called its FoV background model, based on a multi-variable interpolation of the general model. In addition, the FoV background model was renormalized run-by-run, to account for possible differences in the level of night sky background (NSB) and atmospheric absorption with respect to the observations that were used to build the general background model.

As a result of the region’s observation history (see the introduction of Section 2), standard run selection criteria led to a heterogeneous set of observations in terms of array response, zenith angles and source offsets from the pointing direction. We therefore separated observations obtained before and after the 2017 camera upgrade, for which different IRFs have to be used, and grouped together observations with similar zenith and offset values. More details on the four groups of observations that were defined are reported in Table 1. We stacked observations within each group, thus obtaining four independent datasets. This choice represents a good compromise between the time-saving, due to a decrease in the number of degrees of freedom, and information loss, due to the IRFs averaging, that are connected with the data stacking procedure.

For each of the four observation groups, the list of reconstructed events was reduced to a binned data cube, with spatial dimensions corresponding to an analysis region of interest (RoI) of 4o× 4o4^{\,\text{o}}\times\,4^{\,\text{o}} centered at the HGPS position of HESS J1702-420. This choice represents a compromise between a sufficiently large RoI, to get enough off-source regions for the background estimation, and a sufficiently small RoI, to minimize the number of unrelated sources needing to be modeled. A spatial pixel size of 0.02o× 0.02o0.02^{\,\text{o}}\times\,0.02^{\,\text{o}} was adopted, to ensure sufficient per-pixel statistics while still providing good spatial resolution. The third axis of the cube, encoding the reconstructed energy of incident photons, was divided into 20 equally-spaced — in logarithmic scale — bins between 0.5 and 150TeV150\,\mathrm{TeV}. In order to reject poorly reconstructed data, for each observation all events with offset 2o\geq 2^{\,\text{o}} from the pointing direction were excluded, together with those whose reconstructed energy was below the safe threshold

Ethreshold=max{Ebkg,EAeff},E_{\text{threshold}}=\text{max}\{E_{\text{bkg}},E_{A_{\text{eff}}}\}\,\,, (1)

where EbkgE_{\text{bkg}} represents the energy at which the maximum rate of hadronic background events occurs and EAeffE_{A_{\text{eff}}} is the energy at which the effective area at the center of the FoV drops to 10% of its maximal value (e.g., Mohrmann et al. 2019).

With this setup, we performed a joint-likelihood analysis of the four independent datasets, each one having its own FoV background model but all sharing the same source model. This means that we summed the four dataset-specific log-likelihood values, and maximized the total resulting likelihood with respect to the model parameters. For the fit, the Cash statistic (Cash 1979) for Poisson-distributed data with perfectly known background model was used. The 3D analysis was performed in the energy range 2150TeV2-150\,\text{TeV}. All events with reconstructed energy below 2TeV2\,\text{TeV} were excluded from the likelihood computation, to avoid threshold effects arising from the high energy optimization (above 1TeV1\,\text{TeV}) of the analysis configuration and to ensure that the power law assumption made for the background model spectrum was valid — which is true only well above the background peak. A 0.25o0.25^{\,\text{o}} band around the borders of the RoI was excluded from the analysis, in order to limit possible contamination due to non-modeled sources outside the RoI. Additionally, a 0.3o0.3^{\,\text{o}}-radius circular region centered at ll\,= 343.35o\,343.35^{\,\text{o}} and bb\,=0.93o\,-0.93^{\,\text{o}}, containing a 3σ\approx 3\sigma significance hotspot, was excluded from the likelihood calculation instead of being modeled. This choice was motivated by the high offset between the hotspot and HESS J1702-420, and the necessity of limiting the number of nuisance parameters of the source model.

2.1.2 Source model derivation and results

Refer to caption
Figure 1: Upper left panel: Image of the RoI obtained by integrating the binned cube of measured counts over the energy axis (E>2TeVE>2\,\text{TeV}), and correlating it with a 0.1o0.1^{\,\text{o}}-radius top-hat kernel. The hatched regions were excluded from the likelihood computation. The bright area around l345ol\gtrsim 345^{\,\text{o}} results from deep observations of RX J1713-3946 and HESS J1708-410. Upper right panel: Energy-integrated (E>2TeVE>2\,\text{TeV}) map of model-predicted counts, with names and 1σ1\sigma shapes of all model components overlaid. The large-scale discarded component is indicated by the dashed circle — see the main text for more details. Lower left panel: Spatial distribution of model residuals, showing the statistical significance — in units of Gaussian standard deviations — of counts - model fluctuations. The image was obtained assuming Cash statistic for Poisson-distributed signals with perfectly known background model (Cash 1979). Lower right panel: Histogram containing the number of occurrences of each significance value (assuming Cash statistic), from the lower left panel. The adjustment of a Gaussian function to the histogram is shown, together with a reference standard normal distribution.

The optimal source model for the RoI was determined using a statistical approach based on the improvement of a first-guess model with the iterative addition of new components. As a starting point, we defined a source model including all known VHE sources within the 4o× 4o4^{\,\text{o}}\times\,4^{\,\text{o}} RoI, with the exception of HESS J1702-420. Each iteration then consisted either in the addition of a new source component — described by a symmetric Gaussian morphology and power law spectrum —, or the test of a different assumption on the spatial or spectral shape of an already existing component. Specifically, we looked for the presence of high energy spectral cut-offs or elongated shapes for all components.

Step-by-step, the improvement of the source model was assessed looking at two indicators. Firstly, we used the likelihood-ratio test, which allows to estimate the relative significance of nested hypotheses taking into account the number of additional degrees of freedom added at each step. For example, the presence of an additional model component μ\mu with 1 (5) free parameter(s) was considered significant at 5σ5\sigma confidence level only if TS25\mathrm{TS}\geq 25 (TS37.1\mathrm{TS}\geq 37.1), where TS is the test statistic

TS=2ln(0 maxμ max).\text{TS}=-2\ln\,\left(\frac{\mathscr{L}^{\text{\,max}}_{0}}{\mathscr{L}^{\text{\,max}}_{\mu}}\right)\,\,. (2)

Here, 0 max\mathscr{L}^{\text{\,max}}_{0} (μ max\mathscr{L}^{\text{\,max}}_{\mu}) represents the maximum likelihood of the model under the null (alternative) hypothesis — that is the absence (presence) of μ\mu. More details can be found in Appendix B. Secondly, we assessed — by visual inspection — the flattening of spatial and spectral residuals toward zero, as a result of the addition of new model components.

The final results of the procedure are shown in Figure 1. The upper left (right) panel of the figure shows the measured (model-predicted) counts map, obtained after stacking the four individual datasets and integrating over the energy axis above 2TeV2\,\text{TeV}. Diagonal line hatches represent portions of the RoI that were excluded from the likelihood computation (Section 2.1.1). The measured counts map is well matched by the prediction, since the spatial distribution of the significance of model residuals (lower left panel) does not contain significant structures. The histogram of significance values (lower right panel) closely matches a standard normal distribution, as expected if residuals are only due to statistical Poisson fluctuations. Additionally, the spatial distribution of model residuals in three independent energy bands is shown in Figure 9.

The upper right panel of Figure 1 also shows the 1σ1\sigma contours of all components found in the final source model. There are two overlapping objects, called HESS J1702-420A and HESS J1702-420B, that together describe the emission from HESS J1702-420. Being the most relevant model components for the scope of this paper, their details are discussed in the dedicated Section 2.1.3. Two other model components represent the nearby sources HESS J1708-410 and HESS J1708-443. Due to their large angular distance from the center of the RoI, the details of their modeling do not have a strong impact on HESS J1702-420. The fitted model for HESS J1708-410 was found to be consistent with that reported in the HGPS catalog, while the model for HESS J1708-443, being only partially contained in the RoI, was directly fixed to the catalog one. Finally, we found a large-scale component, indicated by the dashed circle in Figure 1 (upper right panel), whose presence was not confirmed by the crosscheck analysis. More details can be found in Appendix C. During the analysis, all parameters describing HESS J1702-420A and HESS J1702-420B, together with the nuisance parameters of all other components and the background model, were left free to vary. Details on the final parameters for the most relevant model components are provided in Tables 2, 3 and 4.

2.1.3 HESS J1702-420A and HESS J1702-420B

Figure 2: Power law spectra of HESS J1702-420A (red solid line) and HESS J1702-420B (blue solid line), as a function of the incident photon energy Eγ. The butterfly envelopes indicate the 1σ1\sigma statistical uncertainty on the spectral shape. They have been obtained from a 3D fit of the H.E.S.S. data with gammapy (more details in the main text). The spectral points, shown for reference purpose only, have been obtained by rescaling the amplitude of the reference spectral model within each energy bin, re-optimizing at the same time all free nuisance parameters of the model. In the energy bins with less than 3σ3\sigma excess significance, the 3σ3\sigma confidence level upper limits are shown.

The most relevant result for the identification of Galactic Pevatrons is the discovery — with a TS-based confidence level corresponding to 5.4σ5.4\,\sigma — of a new source component, HESS J1702-420A, hidden under the bulk emission formerly associated with HESS J1702-420. This object has a spectral index of Γ=1.53±0.19stat±0.20sys\Gamma=1.53\pm 0.19_{\text{stat}}\pm 0.20_{\text{sys}} and a γ\gamma-ray spectrum that, extending with no sign of curvature up to at least 64TeV64\,\text{TeV} (possibly 100TeV100\,\text{TeV}), makes it a compelling candidate site for the presence of extremely high energy cosmic rays. With a flux above 2TeV2\,\text{TeV} of (2.08±0.49stat±0.62sys)×1013cm2s1(2.08\pm 0.49_{\text{stat}}\pm 0.62_{\text{sys}})\times 10^{-13}\,\text{cm}^{-2}\,\text{s}^{-1} and a 1σ1\sigma radius of (0.06±0.02stat±0.03sys)o(0.06\pm 0.02_{\text{stat}}\pm 0.03_{\text{sys}})^{\,\text{o}}, HESS J1702-420A is outshone below 40TeV\approx 40\,\text{TeV} by the companion HESS J1702-420B. The test of a point-source hypothesis for HESS J1702-420A resulted in a non-convergence of the fit. HESS J1702-420B has a steep spectral index of Γ=2.62±0.10stat±0.20sys\Gamma=2.62\pm 0.10_{\text{stat}}\pm 0.20_{\text{sys}}, elongated shape and a flux above 2TeV2\,\text{TeV} of (1.57±0.12stat±0.47sys) 1012cm2s1(1.57\pm 0.12_{\text{stat}}\pm 0.47_{\text{sys}})\,10^{-12}\,\text{cm}^{-2}\,\text{s}^{-1} that accounts for most of the low-energy HESS J1702-420 emission. By comparing results obtained with the main and crosscheck analysis configurations, we verified that all discrepancies were consistent with the expected level of H.E.S.S. systematic uncertainties (H.E.S.S. Collaboration et al. 2018).

For neither of the two sources did an exponential cut-off function statistically improve the fit with respect to a simple power law (cut-off significance 1σ\ll 1\sigma). The γ\gamma-ray spectra of both components are shown in Figure 2, together with spectral points computed under a power law assumption and re-optimizing all the nuisance parameters of the model — see Table 9 for details. We adapted the binning of the spectral energy distributions to obtain approximately equal counts in each bin. HESS J1702-420B is the brightest component up until roughly 40TeV40\,\text{TeV}, where HESS J1702-420A eventually starts dominating with its Γ1.5\Gamma\approx 1.5 power law spectrum up to 100TeV100\,\text{TeV}. The second to last spectral point of HESS J1702-420A (HESS J1702-420B), covering the reconstructed energy range 64113TeV64-113\,\text{TeV} (36113TeV36-113\,\text{TeV}), is significant at 4.0σ4.0\sigma (3.2σ3.2\sigma) confidence level.

We explicitly point out that, based on this dataset, it is impossible to tell whether HESS J1702-420A and HESS J1702-420B actually represent two separate sources — superimposed on the same line of sight — or rather different emission zones of a single complex object. Moreover, any morphology assumption based on exact geometric shapes — in this case, two overlapping Gaussian components — represents an idealization, that might differ from the real underlying astrophysical model. In particular, a model assumption based on the energy-dependent morphology of a single source might also be well suited to describe the emission of HESS J1702-420. To address this point, we performed dedicated studies that ultimately provided a confirmation of the 3D analysis results, in that they brought no evidence of energy-dependent variations of the 3D model or spectral softening as a function of the distance from HESS J1702-420A (see Appendix D and A). Therefore, a model describing HESS J1702-420 with a single energy-dependent component is disfavored, even if it cannot be definitively ruled out.

Component name Galactic longitude Galactic latitude Major semi-axis Minor semi-axis Rotation angle
[deg] [deg] [deg] [deg] [deg]
HESS J1702-420A 344.15±0.02stat±0.01sys344.15\pm 0.02_{\text{stat}}\pm 0.01_{\text{sys}} 0.15±0.02stat±0.01sys-0.15\pm 0.02_{\text{stat}}\pm 0.01_{\text{sys}} 0.06±0.02stat±0.03sys0.06\pm 0.02_{\text{stat}}\pm 0.03_{\text{sys}}
HESS J1702-420B 344.29±0.03stat±0.01sys344.29\pm 0.03_{\text{stat}}\pm 0.01_{\text{sys}} 0.15±0.02stat±0.01sys-0.15\pm 0.02_{\text{stat}}\pm 0.01_{\text{sys}} 0.32±0.02stat±0.03sys0.32\pm 0.02_{\text{stat}}\pm 0.03_{\text{sys}} 0.20±0.02stat±0.03sys0.20\pm 0.02_{\text{stat}}\pm 0.03_{\text{sys}} 67.0±5.4stat±9.7sys67.0\pm 5.4_{\text{stat}}\pm 9.7_{\text{sys}}
Measured counterclockwise starting from the l=0l=0, b>0b>0 axis.
Table 2: Best-fit morphology parameters of HESS J1702-420A and HESS J1702-420B.
Component name Spectral index Decorrelation energy 𝐝𝐍/𝐝𝐄(𝐄=𝐄decorr)\mathbf{dN/dE(E=E_{\text{{decorr}}})} 𝐅(𝐄>𝟐TeV)\mathbf{F(E>2\,\text{{TeV}})}
[TeV] [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [cm𝟐s𝟏]\bm{[\text{{cm}}^{-2\,}\text{{s}}^{-1}]}
HESS J1702-420A 1.53±0.19stat±0.20sys1.53\pm 0.19_{\text{stat}}\pm 0.20_{\text{sys}} 24.5324.53 (1.19±0.28stat±0.34sys) 1015(1.19\pm 0.28_{\text{stat}}\pm 0.34_{\text{sys}})\,10^{-15} (2.08±0.49stat±0.62sys)×1013(2.08\pm 0.49_{\text{stat}}\pm 0.62_{\text{sys}})\times 10^{-13}
HESS J1702-420B 2.62±0.10stat±0.20sys2.62\pm 0.10_{\text{stat}}\pm 0.20_{\text{sys}} 2.672.67 (5.93±0.46stat±1.78sys) 1013(5.93\pm 0.46_{\text{stat}}\pm 1.78_{\text{sys}})\,10^{-13} (1.57±0.12stat±0.47sys)×1012(1.57\pm 0.12_{\text{stat}}\pm 0.47_{\text{sys}})\times 10^{-12}
Table 3: Best-fit spectral parameters of HESS J1702-420A and HESS J1702-420B.
Component name Surface brightness above 𝟐TeV\mathbf{2}\,\text{TeV} Test statistic (TS) Number of d.o.f. Significance
[cm𝟐s𝟏sr𝟏]\bm{[\text{{cm}}^{-2\,}\text{{s}}^{-1\,}\text{{sr}}^{-1}]} [𝝈]\mathbf{[\mbox{\boldmath$\sigma$}]}
HESS J1702-420A (6.2±2.6stat)×108(6.2\pm 2.6_{\text{stat}})\times 10^{-8} 42 5 5.4
HESS J1702-420B (2.5±0.4stat)×108(2.5\pm 0.4_{\text{stat}})\times 10^{-8} 606 7 23.9
Table 4: Surface brightness and detection significance of HESS J1702-420A and HESS J1702-420B.

2.2 Flux maps and source morphology

Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 3: γ\gamma-ray flux maps of the HESS J1702-420 region, computed with the Ring Background Method, above 2 (top left), 5 (top right), 15 (bottom left) and 40 (bottom right) TeV. All maps are correlated with a 0.1o0.1^{\,\text{o}}-radius top-hat kernel, and the color code is in unit of γ\gamma-ray flux (cm2{}^{-2\,}s-1) per smoothing area. The white contours indicate the 3σ3\sigma and 5σ5\sigma H.E.S.S. significance levels (Li & Ma 1983). The cyan markers indicate the position (surrounded by uncertainty ellipses) of the Fermi-LAT sources 4FGL J1702.9-4131 and 2FHL J1703.4-4145. The former is associated with the PSR J1702-4128 (in yellow), the latter with the SNR G344.7-0.1 (in gray). The circle around the SNR represents its angular extension (Giacani et al. 2011). The white pentagon and upward-pointing triangle represent unidentified X-ray Suzaku sources. The orange markers show the positions of nearby X-ray binaries. Finally, the center and 1σ1\sigma extension of HESS J1702-420A (HESS J1702-420B) are indicated in green (blue). In the bottom-left corner of each panel the 68% containment radius of the H.E.S.S. PSF is shown, which — for the chosen analysis configuration — does not have a strong dependency on the energy.

As a complementary study, we performed a 2D analysis of the energy-integrated morphology of HESS J1702-420 in different energy bands. This technique is useful to assess the overall source morphology and verify the persistence of the TeV emission up to the highest energies, even if it does not allow to disentangle HESS J1702-420A from HESS J1702-420B. The level of cosmic ray background in the region was estimated using the adaptive ring background estimation method (Berge et al. 2007; Carrigan et al. 2013). We also verified that consistent flux and significance distributions can be obtained with the FoV background estimation method (Section 2.1). After subtracting the γ\gamma-like hadronic background, we measured γ\gamma-ray flux integrated above 2, 5, 15 and 40TeV40\,\text{TeV} inside a 1.6o× 1.6o1.6^{\,\text{o}}\times\,1.6^{\,\text{o}} region encompassing HESS J1702-420. The result is shown in Figure 3. The figure suggests a shrinking of the VHE emission at high energy, with a shift of the γ\gamma-ray peak toward the position of the unidentified source Suzaku src B. Based on the 3D analysis results (Section 2.1), this effect is understood as the transition between a low energy regime — dominated by the steep spectrum of HESS J1702-420B — to a high energy one, in which HESS J1702-420A stands out with its exceptionally hard power law spectrum. Quantitatively, the distance between the low and high energy emission peaks — estimated from the distance between the centroids of HESS J1702-420A and HESS J1702-420B — amounts to (0.14±0.04stat±0.02sys)o(0.14\pm 0.04_{\text{stat}}\pm 0.02_{\text{sys}})^{\,\text{o}}.

3 Multi wavelength observations

Even in the absence of a multi wavelength detection of HESS J1702-420, low-energy observations can help to constrain the TeV emission scenarios. Section 3.1 summarizes a dedicated analysis of archival Fermi-LAT data in the HESS J1702-420 region, while Section 3.2 reports our considerations on the surrounding ISM and Section 3.3 discusses archival Suzaku measurements in the context of the new H.E.S.S. results.

3.1 Fermi-LAT data analysis and results

Refer to caption
Figure 4: Residual TS map after source modeling in the RoI (see the main text for details). The yellow and white contours represent the TS=4\text{TS}=4 (2σ2\sigma) and TS=9\text{TS}=9 (3σ3\sigma) significance levels, respectively. The red ellipse (orange circle) correspond to the 1σ1\sigma shape of HESS J1702-420B (HESS J1702-420A). The positions of nearby 4FGL and 2FHL sources are shown as green and cyan circles, respectively.

Launched in 2008, the Fermi-LAT is a pair-conversion instrument sensitive to the HE γ\gamma-ray domain (Atwood et al. 2009). We analyzed 12yr\approx 12\,\text{yr} of events with energies in the 10900GeV10-900\,\text{GeV} interval, within a 10o× 10o10^{\,\text{o}}\times\,10^{\,\text{o}} RoI encompassing HESS J1702-420. Event selection and binning criteria are detailed in Appendix E. The analysis, performed with fermipy (Wood et al. 2017), made use of Pass 8 IRFs (Atwood et al. 2013).

To build the source model, we selected all sources from the Fourth Fermi General Catalog (4FGL), Thompson 2019, and second Fermi-LAT Catalog of High Energy Sources (2FHL), Ackermann et al. 2016, within 20o20^{\,\text{o}} from the RoI center. In the model, we also included recent diffuse γ\gamma-ray emission templates, both Galactic and extra-Galactic. More details on the source modeling can be found in Appendix E. After the maximum likelihood fit, we produced a TS map to investigate the presence of statistically significant excesses. For each spatial bin, the algorithm compared the maximum log-likelihood obtained by fitting the model, with the addition of a point source (Γ=2\Gamma=2 frozen, amplitude free) at that position, with that of the starting model alone (null hypothesis). We verified that the TS map does not significantly depend on the spectral index or spatial morphology chosen for the test source. The TS map displayed in Figure 4 shows that, within the source region, there is no evidence for a significant excess, but some low-significance fluctuations are present. For comparison, Figure 10 shows a TS map computed before removing the contribution from point sources.

Finally, we included an additional model component defined by a power law spectrum and an elliptical Gaussian morphology identical to the spatial model of HESS J1702-420B (Section 2.1.3). Its 1σ1\sigma contour is indicated by the red ellipse in Figure 4. We left free to vary the normalization and index of source spectrum, performed a maximum likelihood fit and compared the resulting model likelihood with the null hypothesis (no source). We found only marginal significance (4.3σ4.3\sigma) for a positive excess corresponding to the chosen Gaussian template. In the absence of a clear detection, we estimated the 99% confidence-level upper limit for the HE emission, associated with the HESS J1702-420B template shape, at the level of

(E2dNdE)E=Eref7.6×109GeVcm2s1,\left(E^{2}\,\frac{dN}{dE}\right)_{E=E_{\text{ref}}}\leq 7.6\times 10^{-9}\,\text{GeV}\text{cm}^{-2}\,\text{s}^{-1}\,\,, (3)

where Eref95GeVE_{\text{ref}}\approx 95\,\text{GeV} is the geometric mean of the Fermi-LAT energy range. This value was used to constrain the low-energy extrapolation of the HESS J1702-420B spectrum to the Fermi-LAT energy range (Section 4.2).

3.2 The interstellar medium

Observations of the southern Galactic plane in the 109–115 GHz radio band with Mopra (Braiding et al. 2018), together with the Southern Galactic Plane Survey of the λ=21\lambda=21\,cm line emission with the ATCA and Parkes telescopes (McClure-Griffiths et al. 2005), allow the study of the molecular and atomic gas distribution in the direction of HESS J1702-420.

The gas densities along the line of sight were measured by Lau et al. 2018, integrating the velocity peaks within a 0.30o× 0.15o0.30^{\,\text{o}}\times\,0.15^{\,\text{o}} ellipse centered at ll\,= 344.30o\,344.30^{\,\text{o}} and bb\,=0.18o\,-0.18^{\,\text{o}}. This choice of integration region reflected the approximate shape of the TeV source, from Aharonian et al. 2008. Based on the new H.E.S.S. observations and improved analyses presented in this paper (Section 2), we repeated the ISM analysis, with the same radio dataset and approach as in Lau et al. 2018 but adopting a smaller extraction window to focus on HESS J1702-420A. Our conclusions agree with Lau et al. 2018, in that dense target material, although present at various distances along the line of sight (see Figure 11), does not exhibit any obvious correlation with the VHE γ\gamma-ray maps (see Figure 12). In particular, no hydrogen cloud clearly correlates with HESS J1702-420A or HESS J1702-420B.

3.3 Comparison with X-ray observations of HESS J1702-420

In the X-ray domain, deep Suzaku observations of the HESS J1702-420 region revealed the presence of two faint point-like objects (src A and src B, indicated in Figure 3) and the absence of diffuse X-ray emission in the Suzaku FoV, whose dimensions were however insufficient to fully cover the whole TeV source (Fujinaga et al. 2011). Suzaku src B, in particular, is positionally close to the newly discovered component HESS J1702-420A (see Figure 3), which might hint at the first multi wavelength association for HESS J1702-420. For Suzaku src B Fujinaga et al. 2011 estimated a very low flux (in the 2-10keV10\,\mathrm{keV} band) of (1.9±0.7)×1014ergs1cm2(1.9\pm 0.7)\times 10^{-14}\,\mathrm{erg}\,\mathrm{s}^{-1}\,\mathrm{cm}^{-2}, and did not report any evidence of source extension linked with a compact PWN. However, we point out that the Suzaku measurement likely suffered from strong systematics at the position of src B. Indeed, referring to Figure 2 in Fujinaga et al. 2011, it appears that src B was probably not fully contained in the Suzaku FoV, thus leading to an underestimated flux. The higher level of X-ray fluctuations in the corner surrounding src B suggests that the actual level of diffuse emission at that position might be larger than elsewhere in the FoV. Therefore, an association between src B and HESS J1702-420A cannot be ruled out at this stage.

4 Discussion

To model the γ\gamma-ray emission of HESS J1702-420A and HESS J1702-420B, we replaced the power law spectral functions that were used in the 3D analysis (Section 2.1) with simple physically-motivated non thermal radiative models from naima (Zabalza 2015). We derived the present-age spectral shape of the parent cosmic ray population, exploring both hadronic and leptonic one-zone emission scenarios. Owing to the NaimaSpectralModel class implemented in gammapy, we could forward-fold the naima radiative models directly on the H.E.S.S. 3D data. This represents a significant improvement with respect to a simple fit to precomputed flux points, which is inevitably biased by the spectral assumption made for the flux point computation.

Because of the unclear level of association between HESS J1702-420A and HESS J1702-420B, we modeled them independently. For the hadronic emission models, based on the analytic parametrization of pp-pp interaction and π0\pi^{0} decay developed in Kafexhiu et al. 2014, we assumed a fixed target density nH=100cm3n_{\text{H}}=100\,\text{cm}^{-3}. During the fit, a fiducial distance from Earth of d=3.5kpcd=3.5\,\text{kpc} was assumed. We note that the gas density, as well as the source distance from Earth, do not influence the spectral shape and are both degenerate with the source intrinsic luminosity, that may be rescaled a posteriori assuming different values of nHn_{\text{H}} and dd (see for example Eq. 5). In the leptonic scenario, based on the analytic approximation presented in Khangulyan et al. 2014, the VHE γ\gamma-ray emission was attributed to inverse-Compton up-scattering by electrons of the cosmic microwave background (CMB) and infrared (IR) low-energy photon fields. The uniform CMB field was described as a black-body radiation with energy density of ϵCMB=0.261eVcm3\epsilon_{\text{CMB}}=0.261\,\text{eV}\,\text{cm}^{-3} and temperature of TCMB=2.73KT_{\text{CMB}}=2.73\,\text{K}. The starlight emission in the near IR (ϵNIR=1eVcm3\epsilon_{\text{NIR}}=1\,\text{eV}\,\text{cm}^{-3} and TNIR=3000KT_{\text{NIR}}=3000\,\text{K}) and dust re-emission in the far IR (ϵFIR=0.5eVcm3\epsilon_{\text{FIR}}=0.5\,\text{eV}\,\text{cm}^{-3} and TFIR=30KT_{\text{FIR}}=30\,\text{K}) were obtained using the 3D interstellar radiation field (ISRF) model from Porter et al. 2018, at the coordinates of HESS J1702-420 and the assumed 3.5kpc3.5\,\text{kpc} distance. We verified that the level of fluctuations of the ISRF along the line of sight did not significantly impact the modeling conclusions. The results are discussed in Sections 4.1 and 4.2.

Figure 5: Models of γ\gamma-ray emission based on hadronic (red) and leptonic (blue) one-zone scenarios, for HESS J1702-420Aleft panel — and HESS J1702-420Bright panel. The best-fit spectra, under the assumption of simple power law distribution of the underlying particle populations, are shown as solid lines, while the shaded areas and dotted lines represent the 1σ1\sigma statistical error envelope and extrapolations outside the fit range, respectively. The H.E.S.S. and Fermi-LAT flux points are also shown, for reference purpose. Fit results were obtained with a 3D fit of H.E.S.S. data.

4.1 HESS J1702-420A

HESS J1702-420A has one of the hardest γ\gamma-ray spectra ever detected in a VHE γ\gamma-ray source. This means that the spectral indices of the underlying particle distributions, responsible for the γ\gamma-ray flux via hadronic or leptonic processes, have to be extremely hard themselves. A pure power law distribution of protons (electrons) with slope Γp=1.58±0.14stat\Gamma_{p}=1.58\pm 0.14_{\text{stat}} (Γe=1.61±0.15stat\Gamma_{e}=1.61\pm 0.15_{\text{stat}}) is well suited to produce the γ\gamma-ray emission of HESS J1702-420A, via hadronic (leptonic) radiative processes. The two spectra, with their 1σ1\sigma butterfly envelopes, are shown in Figure 5 (left panel), where the H.E.S.S. spectral points — see Table 9 — are shown for reference purpose only as they were not used for the fit.

Based on the currently available H.E.S.S. data, any attempt of fitting an additional parameter for the cut-off energy of the particle spectra led either to a non-covergence of the fit or to an unphysically high cutoff energy value. We therefore computed lower limits on the particle cut-off energy, following the procedure described in Appendix F. To estimate the lower limits, we modified the model likelihood adding a Gaussian prior on the particle spectral index, to prevent it from floating toward nonphysical regions (i.e., very small or even negative values), due to the trial of low cut-off energies and the reduced lever arm for this spectral modeling. In the case of the hadronic model, we assumed as a prior a Gaussian distribution centered at Γp=2\Gamma_{p}=2 and with σ=0.5\sigma=0.5, based on standard diffusive shock acceleration theory (DSA; Bell 1978). We estimated the impact of this prior choice by varying the Gaussian central values to Γp=1.7\Gamma_{p}=1.7 and Γp=2.3\Gamma_{p}=2.3. We found that for a prior centered at Γp=2\Gamma_{p}=2 (1.7, 2.3) the 95% confidence-level lower limit on the proton cut-off energy is 0.82 (0.55, 1.16) PeV. The fact that --- independenly of the chosen prior --- the cut-off energy lower limit is found at Ep>0.5PeVE_{p}>0.5\,\text{PeV} means that in a hadronic scenario the source likely harbors PeV cosmic rays. In the leptonic case, we tested three different Gaussian priors, all having width σ=0.5\sigma=0.5. Based on Sironi & Spitkovsky 2011 and Werner et al. 2015, we chose a prior centered at Γe=1.5\Gamma_{e}=1.5 to probe shock-driven magnetic reconnection in conditions of moderate wind magnetization, Γe=2.5\Gamma_{e}=2.5 to account for Fermi-like acceleration at the termination shock in conditions of low upstream magnetization, and finally Γe=2.0\Gamma_{e}=2.0 as an intermediate scenario. Our results showed that assuming Γe=2.0\Gamma_{e}=2.0 (1.5, 2.5) the 95% confidence-level lower limit on the electron cut-off energy is 106 (64, 152) TeV.

The energy contents in protons and electrons, necessary to sustain the γ\gamma-ray emission of HESS J1702-420A, were computed integrating the particle spectra above 1TeV1\,\text{TeV}:

Wp/e(Ep/e>1TeV)=1TeVEp/edNdEp/edEp/e.W_{p/e}(E_{p/e}>1\,\text{TeV})=\int_{1\,\text{TeV}}^{\infty}E_{p/e}\frac{dN}{dE_{p/e}}\,dE_{p/e}\,\,. (4)

Given the best-fit proton and electron distributions found for HESS J1702-420A, with power law indices Γp/e1.6\Gamma_{p/e}\approx 1.6, Eq. 4 would diverge unless the presence of a high energy cut-off is assumed. We therefore adopted the 95% confidence level lower limits on the cut-off energies, thus obtaining lower limits on the integrated particle energetics. We verified that the results are not strongly influenced by the choice of spectral index prior. They are:

Wp(Ep>1TeV)1.8×1047(d3.5kpc)2(nH100cm3)1ergW_{p}(E_{p}>1\,\text{TeV})\gtrsim 1.8\times 10^{47}\left(\frac{d}{3.5\,\text{kpc}}\right)^{2}\left(\frac{n_{\text{H}}}{100\,\text{cm}^{-3}}\right)^{-1}\,\text{erg} (5)
We(Ee>1TeV)8.1×1045(d3.5kpc)2erg.W_{e}(E_{e}>1\,\text{TeV})\gtrsim 8.1\times 10^{45}\left(\frac{d}{3.5\,\text{kpc}}\right)^{2}\,\text{erg}\,\,. (6)

In a leptonic scenario, HESS J1702-420A would be powered by an electron popultion with unusually hard spectral index, Γe1.6\Gamma_{e}\approx 1.6\,, and the electron energy required to power the γ\gamma-ray emission (see Eq. 6) would be high compared to the typical values for TeV detected PWNe (H.E.S.S. Collaboration et al. 2018). A simple one-zone leptonic model is therefore challenged, also because it would imply the unlikely presence of inverse-Compton emitting electrons with Ee100TeVE_{e}\approx 100\,\mathrm{TeV}. Indeed, given the 1/Ee\propto 1/E_{e} dependence of the synchrotron loss timescale in the Thomson regime (see Eq. 15), such energetic electrons would cool down extremely fast creating a high energy spectral curvature or break, which is not observed for HESS J1702-420A. To further understand whether a pulsar-PWN association between Suzaku src B (see Section 3.3) and HESS J1702-420A is plausible, we made use of the simple one-zone leptonic model derived in this Section to match the synchrotron emission of HESS J1702-420A with the measured X-ray flux of src B, thus estimating the magnetic field value in the vicinity of the source. This turns out to be unrealistically low: B0.3μGB\approx 0.3\,\mu G (see Figure 13). In other words, if the Suzaku measurement is reliable (see Section 3.3) an association between HESS J1702-420A and Suzaku src B is very unlikely in a simple one-zone leptonic scenario. For all these reasons, a standard PWN model is disfavored, but cannot be definitively ruled out mainly due to the uncertainties on the X-ray measurement. We notice that an alternative interpretation is possible, in which the observed γ\gamma-ray emission is due to electrons that are accelerated by the reconnection electric field at X-points in the current sheets of a pulsar striped wind, where the magnetic field value is expected to be low (Sironi & Spitkovsky 2011; Werner et al. 2015; Guo et al. 2015). In this case, a Doppler boost of the VHE emission due to relativistic plasma motions might be invoked to explain the apparent presence of 100TeV100\,\text{TeV} inverse-Compton emitting electrons (Cerutti et al. 2020). If true, this would be the first time that a TeV measurement probes the reconnection spectrum immediately downstream of the termination shock of a pulsar wind. However, the lack of a clear multi wavelength detection of the compact object providing the necessary electron population renders this hypothesis unlikely.

In a hadronic scenario, VHE γ\gamma-ray emission is attributed to the interaction of energetic protons with target material within a source or a nearby molecular cloud. In this case, the 100TeV100\,\mathrm{TeV} γ\gamma-ray emission from HESS J1702-420A, together with its proton cut-off energy lower limit at 0.551.16PeV0.55-1.16\,\mathrm{PeV}, would make it a compelling candidate site for the presence of PeV cosmic ray protons. Therefore HESS J1702-420A becomes one of the most solid PeVatron candidates detected in H.E.S.S. data, also based on the modest value of the total energy in protons that is necessary to power its γ\gamma-ray emission (see Eq. 5) and the excellent agreement of a simple proton power law spectrum with the data. However, we notice that a proton spectrum with a slope of Γp1.6\Gamma_{p}\approx 1.6 over two energy decades is hard to achieve in the standard DSA framework (Bell 1978). This fact may suggest that HESS J1702-420A, instead of being a proton accelerator, is in fact a gas cloud that, being illuminated by cosmic rays transported from elsewhere, acts as a passive γ\gamma-ray emitter. In that case, the hard measured proton spectrum could result from the energy-dependent particle escape from a nearby proton PeVatron (Gabici et al. 2009). Alternatively, the γ\gamma-ray emission from HESS J1702-420A might be interpreted as the hard high energy end of a concave spectrum arising from nonlinear DSA effects (Kang et al. 2009), or originate from the interaction of SNR shock waves with a young stellar cluster wind (Bykov et al. 2015). The absence of a clear spatial correlation between the ISM and the observed TeV emission (see Section 3.2) prevents a confirmation of the hadronic emission scenario, unless an extremely powerful hidden PeVatron is present. In the latter case, even a modest gas density would suffice to produce the measured γ\gamma-ray emission of HESS J1702-420A, which would explain the observed nonlinearity between the ISM and TeV maps (see Section 3.2).

4.2 HESS J1702-420B

The baseline proton and electron spectra, used to model the γ\gamma-ray emission of HESS J1702-420B, are broken power laws of the form

dNdE{(E/E0)α1,ifE<E~(E~/E0)α2α1(E/E0)α2,ifE>E~\frac{dN}{dE}\propto\left\{\begin{array}[]{ll}(E/E_{0})^{-\alpha_{1}}&,\text{if}\,\,E<\tilde{E}\\ (\tilde{E}/E_{0})^{\alpha_{2}-\alpha_{1}}(E/E_{0})^{-\alpha_{2}}&,\text{if}\,\,E>\tilde{E}\\ \end{array}\right. (7)

where E~\tilde{E} and E0E_{0} are the energy of the spectral break and the reference energy, respectively. The introduction of a spectral break was necessary, because a simple power law extrapolation from the VHE to the HE γ\gamma-ray range would have led to unrealistic energy budgets and an overshoot of the Fermi-LAT upper limit (Section 3.1). The first power law index, α1\alpha_{1}, was adjusted manually with respect to the Fermi-LAT upper limit — its value is therefore not to be interpreted as a fit result, but rather as a working assumption.

In the hadronic (leptonic) scenario, the best-fit proton (electron) spectrum corresponds to a broken power-law with slopes α1=1.6\alpha_{1}=1.6 (1.4) and α2=2.66±0.11stat\alpha_{2}=2.66\,\pm 0.11_{\text{stat}} (3.39±0.11stat3.39\,\pm 0.11_{\text{stat}}), and with break energy of E~=(6.77±3.64stat)TeV\tilde{E}=(6.77\,\pm 3.64_{\text{stat}})\,\text{TeV} ((4.19±1.25stat)TeV\,(4.19\,\pm 1.25_{\text{stat}})\,\text{TeV}\,). The 95% confidence-level lower limit on the proton (electron) cut-off energy — computed as described in Appendix F — is 550 (140) TeV.

The values of proton and electron energetics, necessary to power the γ\gamma-ray emission of HESS J1702-420B, were computed integrating the broken power law particle spectra above 1GeV1\,\text{GeV}. They are:

Wp(Ep>1GeV)2.8×1048(d3.5kpc)2(nH100cm3)1ergW_{p}(E_{p}>1\,\text{GeV})\approx 2.8\times 10^{48}\left(\frac{d}{3.5\,\text{kpc}}\right)^{2}\left(\frac{n_{\text{H}}}{100\,\text{cm}^{-3}}\right)^{-1}\,\text{erg} (8)
We(Ee>1GeV)4.5×1047(d3.5kpc)2erg.W_{e}(E_{e}>1\,\text{GeV})\approx 4.5\times 10^{47}\left(\frac{d}{3.5\,\text{kpc}}\right)^{2}\,\text{erg}\,\,. (9)

In a leptonic scenario, HESS J1702-420A and HESS J1702-420B could be seen as different emission zones belonging to the same PWN complex. However, we deem this interpretation unlikely for several reasons. First of all, a leptonic scenario for HESS J1702-420A is disfavored by the arguments in Section 4.1. Also, the only known nearby pulsar is PSR J1702-4128, that to power the whole TeV source would require an extremely high conversion efficiency of its spin down luminosity into 110TeV1-10\,\text{TeV} γ\gamma-rays;

ϵ=L[1,10]TeVE˙19%,\epsilon=\frac{L_{[1,10]\,\text{TeV}}}{\dot{E}}\approx 19\%\,\,, (10)

where L[1,10]TeVL_{[1,10]\,\text{TeV}} was obtained considering both HESS J1702-420A and HESS J1702-420B, and assuming the same pulsar’s distance from Earth d=5.2kpcd=5.2\,\text{kpc} (Kramer et al. 2003). The result of Eq. 10 is well above the efficiency of all other PWNe identified by H.E.S.S. in the same energy range (H.E.S.S. Collaboration et al. 2018). Finally, several PWNe detected by H.E.S.S. have an energy-dependent morphology with spectral softening away from the pulsar position (e.g., H.E.S.S. Collaboration et al. 2012; H.E.S.S. Collaboration et al. 2019), which seems not to be the case for HESS J1702-420 (see Appendices D and A). However, we point out that this might be due to insufficient statistics or spatial resolution, and that not all TeV-bright PWNe detected by H.E.S.S. have an energy-dependent morphology (e.g., H. E. S. S. Collaboration 2020). Therefore, leptonic scenarios cannot be definitively ruled out. In particular, as argued in Gallant 2007, the PSR J1702-4128 might power only part of the TeV emission. Indeed, significant VHE γ\gamma-ray emission is detected by H.E.S.S. near the pulsar position — see Figure 3 (upper right panel).

In a hadronic scenario, HESS J1702-420B might be interpreted as a proton accelerator, whose spectral break around Ep7TeVE_{p}\approx 7\,\text{TeV} is due to energy-dependent cosmic ray escape from the source. In this case, as argued in Section 4.1, the hard γ\gamma-ray spectrum of HESS J1702-420A could be the signature of delayed emission from the highest energy runaway protons, hitting target material in the ISM. This scenario is challenged however by the absence of clear TeVnH-\,n_{\text{H}} correlation at the location of HESS J1702-420A (see Section 3.2).

4.3 Distance from Earth and environmental parameters

Figure 6: Possible constraints on the gas density, magnetic field and distance of HESS J1702-420, based on multi-wavelegth observations, under the assumption of simple one-zone hadronic (left panel) or leptonic (right panel) scenarios. More details are given in the main text.

Even if an unequivocal identification of HESS J1702-420 remains elusive, mostly due to the uncertain relationship between HESS J1702-420A and HESS J1702-420B, the new H.E.S.S. observations allow us to constrain the source distance from Earth dd and the values of the most relevant environmental parameters in a hadronic or leptonic emission scenario, which are respectively the gas density nHn_{\text{H}} and magnetic field strength BB. In this section, we make the assumption that the two components are associated. This means assuming that their distance from Earth is roughly the same, and their TeV emissions are connected.

The constraints we found are shown in Figure 6. The left panel focuses on hadronic scenarios: molecular clouds from Lau et al. 2018 are indicated by red circles, with size proportional to (the logarithm of) the proton energy necessary to power the γ\gamma-ray emission of HESS J1702-420B in each case (see Table 10 for more details). For all clouds, the nearer kinematic distance was assumed. The blue exclusion region in the figure was obtained requiring that the measured proton energetics above 1GeV1\,\text{GeV} (from Eq. 8) do not exceed 1050erg10^{50}\,\text{erg}, which is the kinetic energy transferred to cosmic rays by a typical SNR. Finally, the gray shaded areas exclude portions of the parameter space in which protons of energy Ep1TeVE_{p}\geq 1\,\text{TeV} are cooled down due to pp-pp collisions before having time to diffuse across the whole size of HESS J1702-420B. For this calculation, we assumed a standard ISM magnetic field of 3μG3\,\mu G, and tested different values for the normalization factor of the diffusion coefficient χ\chi — defined in Gabici et al. 2007. It is clear that, if the source lies in the diluted ISM where nH1cm3n_{\text{H}}\lesssim 1\,\text{cm}^{-3}, it has to be relatively close — d2kpcd\lesssim 2\,\text{kpc} —, unless its proton energy budget exceeds 1050erg10^{50}\,\text{erg}. If the normalization of the diffusion coefficient is low (χ0.001\chi\lesssim 0.001), only the three nearest molecular clouds would be apt to harbor the source, whose distance would again be d2kpcd\lesssim 2\,\text{kpc}.

In the right panel, which focuses on leptonic scenarios, the gray exclusion areas correspond to portions of the parameter space in which electrons with energy Ee1TeVE_{e}\geq 1\,\text{TeV} do not have time to fill the whole component HESS J1702-420B before being cooled down. From the figure, it is clear that if the normalization of the diffusion coefficient is low (χ0.01\chi\lesssim 0.01), then the source has to be relatively close — less than 3kpc\approx 3\,\text{kpc} away, for realistic values of BB field.

Further details on the assumptions that were made to produce the Figure 6 can be found in Appendix G.

5 Conclusions

We present new H.E.S.S. observations of the unidentified source HESS J1702-420, processed using improved techniques, that bring new evidence for the presence of γ\gamma-rays up to 100TeV100\,\text{TeV}. The low-level analysis configuration, used to reduce the raw telescope data to lists of γ\gamma-like events, was adapted to maximize the telescope’s sensitivity at the highest energies. We performed a 3D likelihood analysis — a relatively new high-level technique in the VHE γ\gamma-ray domain — with gammapy, to determine the simplest and best suited spatial and spectral models to describe the source and its surroundings. This allowed us to separate for the first time two components — both detected at >5σ>5\sigma confidence level — inside HESS J1702-420 based on their different morphologies and γ\gamma-ray spectra, both of which extend with no sign of curvature up to several tens of TeV (possibly 100 TeV). We report the 4.0σ4.0\sigma confidence level detection of γ\gamma-ray emission from the hardest component, called HESS J1702-420A, in the energy band 64113TeV64-113\,\text{TeV}, which is an unprecedented achievement for the H.E.S.S. experiment and brings evidence for the source emission up to 100TeV100\,\text{TeV}. With a spectral index of Γ=1.53±0.19stat±0.20sys\Gamma=1.53\pm 0.19_{\text{stat}}\pm 0.20_{\text{sys}}, this object is a compelling candidate site for the presence of PeV cosmic rays.

We adjusted physically-motivated non thermal radiative models to the H.E.S.S. data, testing simple one-zone hadronic and leptonic models, and determined that the available observations do not allow us to rule out either of the two scenarios. The 95% confidence level energy cut-off of the baseline proton (electron) distribution of HESS J1702-420A was found in the range 0.551.16PeV0.55-1.16\,\mathrm{PeV} (64152TeV64-152\,\mathrm{TeV}), depending on the assumption made on the particle spectral index. Remarkably, in a hadronic emission scenario the particle spectral cut-off is at Ep>0.5PeVE_{p}>0.5\,\text{PeV}, for a range of tested priors. For such a scenario, this implies that the source harbors PeV protons, thus becoming one of the most solid PeVatron candidates detected in H.E.S.S. data. Nevertheless, a leptonic emission scenario for HESS J1702-420A could not be definitively ruled out. We additionally measured the particle energetics that are necessary to power the observed γ\gamma-ray emission. We finally discussed possible constraints on the source distance, ambient magnetic field and surrounding gas density.

In the future, the improved angular resolution of the Cherenkov Telescope Array (CTA) and higher energy coverage of the Southern Wide-field Gamma-ray Observatory (SWGO) will possibly close the debate on the nature of HESS J1702-420. In particular, deep measurements in the 100-200 TeV γ\gamma-ray band will constrain the spectral shape near the cut-off region, thus probing the hadronic or leptonic origin of the emission and determining whether either of the two detected components operates as a real cosmic ray PeVatron. Observations in the X-ray band, on the other hand, will be important to search for a multi wavelength counterpart of the TeV source, and clarify the relationship between HESS J1702-420A and the unidentified Suzaku src B.

Acknowledgements

The support of the Namibian authorities and of the University of Namibia in facilitating the construction and operation of H.E.S.S. is gratefully acknowledged, as is the support by the German Ministry for Education and Research (BMBF), the Max Planck Society, the German Research Foundation (DFG), the Helmholtz Association, the Alexander von Humboldt Foundation, the French Ministry of Higher Education, Research and Innovation, the Centre National de la Recherche Scientifique (CNRS/IN2P3 and CNRS/INSU), the Commissariat à l’énergie atomique et aux énergies alternatives (CEA), the U.K. Science and Technology Facilities Council (STFC), the Knut and Alice Wallenberg Foundation, the National Science Centre, Poland grant no. 2016/22/M/ST9/00382, the South African Department of Science and Technology and National Research Foundation, the University of Namibia, the National Commission on Research, Science & Technology of Namibia (NCRST), the Austrian Federal Ministry of Education, Science and Research and the Austrian Science Fund (FWF), the Australian Research Council (ARC), the Japan Society for the Promotion of Science and by the University of Amsterdam. We appreciate the excellent work of the technical support staff in Berlin, Zeuthen, Heidelberg, Palaiseau, Paris, Saclay, Tubingen and in Namibia in the construction and operation of the equipment. This work benefited from services provided by the H.E.S.S. Virtual Organisation, supported by the national resource providers of the EGI Federation.

References

  • Abdo et al. (2009) Abdo, A. A., Ackermann, M., Ajello, M., et al. 2009, ApJS, 183, 46
  • Ackermann et al. (2016) Ackermann, M., Ajello, M., Atwood, W. B., et al. 2016, ApJS, 222, 5
  • Adams et al. (2021) Adams, C. B. et al. 2021, Astrophys. J., 913, 115
  • Aharonian et al. (2008) Aharonian, F., Akhperjanian, A. G., Barres de Almeida, U., et al. 2008, A&A, 477, 353
  • Aharonian et al. (2019) Aharonian, F., Yang, R., & de Oña Wilhelmi, E. 2019, Nature Astronomy, 3, 561
  • Aharonian et al. (2006) Aharonian, F. et al. 2006, Astrophys. J., 636, 777
  • Apel et al. (2013) Apel, W. D. et al. 2013, Astropart. Phys., 47, 54
  • Ashton et al. (2020) Ashton, T., Backes, M., Balzer, A., et al. 2020, Astroparticle Physics, 118, 102425
  • Atwood et al. (2013) Atwood, W. et al. 2013, in 2012 Fermi Symposium proceedings
  • Atwood et al. (2009) Atwood, W. B., Abdo, A. A., Ackermann, M., et al. 2009, ApJ, 697, 1071
  • Becherini et al. (2012) Becherini, Y., Punch, M., & H.E.S.S. Collaboration. 2012, in American Institute of Physics Conference Series, Vol. 1505, High Energy Gamma-Ray Astronomy: 5th International Meeting on High Energy Gamma-Ray Astronomy, ed. F. A. Aharonian, W. Hofmann, & F. M. Rieger, 741–744
  • Bell (1978) Bell, A. R. 1978, Mon. Not. Roy. Astron. Soc., 182, 147
  • Bell (2014) Bell, A. R. 2014, Brazilian Journal of Physics, 44, 415
  • Berezinskii et al. (1990) Berezinskii, V. S., Bulanov, S. V., Dogiel, V. A., & Ptuskin, V. S. 1990, Astrophysics of cosmic rays
  • Berge et al. (2007) Berge, D., Funk, S., & Hinton, J. 2007, A&A, 466, 1219
  • Braiding et al. (2018) Braiding, C., Wong, G. F., Maxted, N. I., et al. 2018, PASA, 35, e029
  • Bykov et al. (2015) Bykov, A. M., Ellison, D. C., Gladilin, P. E., & Osipov, S. M. 2015, Monthly Notices of the Royal Astronomical Society, 453, 113
  • Carrigan et al. (2013) Carrigan, S., Brun, F., Chaves, R. C. G., et al. 2013, in 48th Rencontres de Moriond on Very High Energy Phenomena in the Universe
  • Cash (1979) Cash, W. 1979, ApJ, 228, 939
  • Cerutti et al. (2020) Cerutti, B., Philippov, A. A., & Dubus, G. 2020, A&A, 642, A204
  • Chang et al. (2008) Chang, C., Konopelko, A., & Cui, W. 2008, Astrophys. J., 682, 1177
  • Combi et al. (2010) Combi, J. A., Albacete Colombo, J. F., López-Santiago, J., et al. 2010, A&A, 522, A50
  • Deil et al. (2017a) Deil, C., Boisson, C., Kosack, K., et al. 2017a, in American Institute of Physics Conference Series, Vol. 1792, 6th International Symposium on High Energy Gamma-Ray Astronomy, 070006
  • Deil et al. (2020) Deil, C., Donath, A., Terrier, R., et al. 2020, gammapy/gammapy: v0.17, 10.5281/zenodo.4701492
  • Deil et al. (2017b) Deil, C., Zanin, R., Lefaucheur, J., et al. 2017b, in International Cosmic Ray Conference, Vol. 301, 35th International Cosmic Ray Conference (ICRC2017), 766
  • Donath et al. (2015) Donath, A., Deil, C., Arribas, M. P., et al. 2015, in International Cosmic Ray Conference, Vol. 34, 34th International Cosmic Ray Conference (ICRC2015), 789
  • Dubner et al. (1993) Dubner, G. M., Moffett, D. A., Goss, W. M., & Winkler, P. F. 1993, AJ, 105, 2251
  • Eagle et al. (2020) Eagle, J., Marchesi, S., Ajello, M., Castro, D., & Vendrasco, A. 2020, Astrophys. J., 904, 123
  • Fujinaga et al. (2011) Fujinaga, T., Bamba, A., Dotani, T., et al. 2011, Publications of the Astronomical Society of Japan, 63, S857
  • Gabici et al. (2007) Gabici, S., Aharonian, F. A., & Blasi, P. 2007, Ap&SS, 309, 365
  • Gabici et al. (2009) Gabici, S., Aharonian, F. A., & Casanova, S. 2009, MNRAS, 396, 1629
  • Gaisser et al. (2016) Gaisser, T. K., Engel, R., & Resconi, E. 2016, Cosmic Rays and Particle Physics, 2nd edn. (Cambridge University Press)
  • Gallant (2007) Gallant, Y. A. 2007, Ap&SS, 309, 197
  • Giacani et al. (2011) Giacani, E., Smith, M. J. S., Dubner, G., & Loiseau, N. 2011, A&A, 531, A138
  • Ginzburg & Syrovatskii (1964) Ginzburg, V. L. & Syrovatskii, S. I. 1964, The Origin of Cosmic Rays
  • Guo et al. (2015) Guo, F., Liu, Y.-H., Daughton, W., & Li, H. 2015, The Astrophysical Journal, 806, 167
  • H. E. S. S. Collaboration (2020) H. E. S. S. Collaboration. 2020, Nature Astronomy, 4, 167
  • H. E. S. S. Collaboration et al. (2018) H. E. S. S. Collaboration, Abdalla, H., Abramowski, A., et al. 2018, A&A, 612, A9
  • Hess (1912) Hess, V. F. 1912, Phys. Z., 13, 1084
  • H.E.S.S. Collaboration et al. (2018) H.E.S.S. Collaboration, Abdalla, H., Abramowski, A., et al. 2018, A&A, 612, A1
  • H.E.S.S. Collaboration et al. (2019) H.E.S.S. Collaboration, Abdalla, H., Aharonian, F., et al. 2019, A&A, 621, A116
  • H.E.S.S. Collaboration et al. (2012) H.E.S.S. Collaboration, Abramowski, A., Acero, F., et al. 2012, A&A, 548, A46
  • H.E.S.S. Collaboration et al. (2016) H.E.S.S. Collaboration, Abramowski, A., Aharonian, F., et al. 2016, Nature, 531, 476
  • H.E.S.S. Collaboration et al. (2018) H.E.S.S. Collaboration, Abdalla, H., Abramowski, A., et al. 2018, A&A, 612, A2
  • Hillas (1985) Hillas, A. M. 1985, in International Cosmic Ray Conference, Vol. 3, 19th International Cosmic Ray Conference (ICRC19), Volume 3, 445
  • Kafexhiu et al. (2014) Kafexhiu, E., Aharonian, F., Taylor, A. M., & Vila, G. S. 2014, Phys. Rev. D, 90, 123014
  • Kang et al. (2009) Kang, H., Ryu, D., & Jones, T. W. 2009, ApJ, 695, 1273
  • Khangulyan et al. (2014) Khangulyan, D., Aharonian, F. A., & Kelner, S. R. 2014, ApJ, 783, 100
  • Kramer et al. (2003) Kramer, M., Bell, J. F., Manchester, R. N., et al. 2003, Monthly Notices of the Royal Astronomical Society, 342, 1299
  • Lau et al. (2018) Lau, J. C., Rowell, G., Voisin, F., et al. 2018, Monthly Notices of the Royal Astronomical Society, 483, 3659
  • Li & Ma (1983) Li, T. P. & Ma, Y. Q. 1983, ApJ, 272, 317
  • MAGIC Collaboration et al. (2020) MAGIC Collaboration, Acciari, V. A., Ansoldi, S., et al. 2020, A&A, 642, A190
  • Mattox et al. (1996) Mattox, J. R., Bertsch, D. L., Chiang, J., et al. 1996, ApJ, 461, 396
  • McClure-Griffiths et al. (2005) McClure-Griffiths, N. M., Dickey, J. M., Gaensler, B. M., et al. 2005, ApJS, 158, 178
  • Mohrmann et al. (2019) Mohrmann, L., Specovius, A., Tiziani, D., et al. 2019, A&A, 632, A72
  • Nigro et al. (2019) Nigro, C., Deil, C., Zanin, R., et al. 2019, A&A, 625, A10
  • Ohm et al. (2009) Ohm, S., van Eldik, C., & Egberts, K. 2009, Astroparticle Physics, 31, 383
  • Piron et al. (2001) Piron, F., Djannati-Atai, A., Punch, M., et al. 2001, Astronomy and Astrophysics - A&A, 374, 895
  • Porter et al. (2018) Porter, T., Johannesson, G., & Moskalenko, I. 2018, PoS, ICRC2017, 737
  • Rolke et al. (2005) Rolke, W. A., López, A. M., & Conrad, J. 2005, Nuclear Instruments and Methods in Physics Research A, 551, 493
  • Sironi & Spitkovsky (2011) Sironi, L. & Spitkovsky, A. 2011, The Astrophysical Journal, 741, 39
  • Strong et al. (2004) Strong, A. W., Moskalenko, I. V., Reimer, O., Digel, S., & Diehl, R. 2004, Astron. Astrophys., 422, L47
  • Thompson (2019) Thompson, D. J. 2019, in AAS/High Energy Astrophysics Division, Vol. 17, AAS/High Energy Astrophysics Division, 109.33
  • Vovk et al. (2018) Vovk, I., Strzys, M., & Fruck, C. 2018, A&A, 619, A7
  • Werner et al. (2015) Werner, G. R., Uzdensky, D. A., Cerutti, B., Nalewajko, K., & Begelman, M. C. 2015, The Astrophysical Journal, 816, L8
  • Whiteoak & Green (1996) Whiteoak, J. B. Z. & Green, A. J. 1996, A&AS, 118, 329
  • Wilks (1938) Wilks, S. S. 1938, Ann. Math. Statist., 9, 60
  • Wood et al. (2017) Wood, M., Caputo, R., Charles, E., et al. 2017, in International Cosmic Ray Conference, Vol. 301, 35th International Cosmic Ray Conference (ICRC2017), 824
  • Yamaguchi et al. (2012) Yamaguchi, H., Tanaka, M., Maeda, K., et al. 2012, The Astrophysical Journal, 749, 137
  • Zabalza (2015) Zabalza, V. 2015, Proc. of International Cosmic Ray Conference 2015, 922

Appendix A Spatially-resolved spectral analysis of H.E.S.S. data

Refer to caption
Figure 7: Upper panel: Map of the H.E.S.S. γ\gamma-ray signal significance above 2TeV2\,\text{TeV}, with contours corresponding to 2σ2\sigma, 3σ3\sigma, 5σ5\sigma, 9σ9\sigma and 12σ12\sigma significance levels Li & Ma 1983. The map has been obtained with the Adaptive Ring Background estimation method, and centered at the position of HESS J1702-420A. Overlaid on the map are the concentric regions — one circle and three annuli — that were used to extract the source spectrum. Lower panel: Results of the spatially-resolved spectral analysis, showing the spectral index and flux as a function of the distance from HESS J1702-420A.
Region Spectral index 𝐄decorr\mathbf{E_{\text{{decorr}}}} 𝐅(𝐄>𝟏TeV)\mathbf{F(E>1\,\text{{TeV}})} Livetime Area Excess Significance
[TeV] [cm𝟐s𝟏]\bm{[\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [h] [sr] [counts] [𝝈]\mathbf{[\mbox{\boldmath$\sigma$}]}
1 2.15±0.05stat±0.20sys2.15\pm 0.05_{\text{stat}}\pm 0.20_{\text{sys}} 2.61 (9.47±3.59stat±2.84sys) 1013(9.47\pm 3.59_{\text{stat}}\pm 2.84_{\text{sys}})\,10^{-13} 32.7 2.15 1052.15\,10^{-5} 499 18.8
2 2.36±0.07stat±0.20sys2.36\pm 0.07_{\text{stat}}\pm 0.20_{\text{sys}} 2.21 (2.23±1.19stat±0.67sys) 1012(2.23\pm 1.19_{\text{stat}}\pm 0.67_{\text{sys}})\,10^{-12} 24.8 9.57 1059.57\,10^{-5} 857 17.8
3 2.17±0.09stat±0.20sys2.17\pm 0.09_{\text{stat}}\pm 0.20_{\text{sys}} 3.13 (2.48±1.51stat±0.74sys) 1012(2.48\pm 1.51_{\text{stat}}\pm 0.74_{\text{sys}})\,10^{-12} 15.4 1.72 1041.72\,10^{-4} 552 10.5
4 2.46±0.31stat±0.20sys2.46\pm 0.31_{\text{stat}}\pm 0.20_{\text{sys}} 1.96 (1.42±3.22stat±0.43sys) 1012(1.42\pm 3.22_{\text{stat}}\pm 0.43_{\text{sys}})\,10^{-12} 7.3 2.49 1042.49\,10^{-4} 135 3.9
Table 5: Spectral results for the four extraction regions of Figure 7, under the assumption of power law γ\gamma-ray emission.

With the benefit of an unprecedented level of statistics in this region, we performed a spatially-resolved spectral analysis for HESS J1702-420. A 0.15o0.15^{\,\text{o}}-radius circle and three 0.2o0.2^{\,\text{o}}-radius annuli were used to measure the VHE γ\gamma-ray spectrum of the source. We did not adopt narrower extraction regions, in order to limit the level of PSF-induced correlation between them. Figure 7 (upper panel) shows the four nonoverlapping regions, overlaid on a map of the γ\gamma-ray flux significance above 2TeV2\,\text{TeV}. All regions are concentric around Galactic coordinates ll\,= 344.15o\,344.15^{\,\text{o}} and bb\,=0.15o\,-0.15^{\,\text{o}}, corresponding to the position of HESS J1702-420A. The level of cosmic ray background within each region was computed with the reflected region background estimation technique (Berge et al. 2007), while a forward-folding approach (Piron et al. 2001) was adopted to determine the maximum-likelihood estimates of the spectral slope and flux, in each region, under a power-law assumption.

The detailed results of the spectral analysis are reported in Table 5, while the spectral variations as a function of the distance from HESS J1702-420A are shown in Figure 7 (bottom panel). The error bars in the figure represent the statistical errors on the fitted parameters. The level of systematic uncertainties, reported in Table 5, have been estimated following H.E.S.S. Collaboration et al. 2018. The figure shows that, in this datasets, there is no evidence for significant spectral variations around HESS J1702-420A. This measurement tends to support a two-component approach, with respect to a model based on a single source with energy-dependent morphology. Indeed, in the latter case significant spatially-resolved spectral variations would be expected, as seen for other well known H.E.S.S. sources (e.g., H.E.S.S. Collaboration et al. 2019).

Appendix B Hypothesis testing for nested parametric models

According to Wilks’ theorem (Wilks 1938), the TS defined in Eq. 2 is distributed as a χν2\chi^{2}_{\nu}, where ν\nu is the number of additional degrees of freedom of the alternative hypothesis with respect to the null hypothesis. The theorem is valid under the assumptions — always satisfied in our analysis — of high statistics and nested models. Thanks to this theorem, the statistical significance of the alternative hypothesis can be directly estimated from the TS value, by determining the corresponding right-tail pp-value of a χν2\chi^{2}_{\nu} distribution. To convert the significance into units of Gaussian standard deviations (σ\sigma), it is then sufficient to compute z-score of a Gaussian distribution corresponding to the given pp-value.

Appendix C Non-confirmed large-scale emission component

In the main analysis, a large-scale — 0.5o\approx 0.5^{\,\text{o}} in radius — model component was detected around ll\,= 345.23o\,345.23^{\,\text{o}} and bb\,=0.01o\,-0.01^{\,\text{o}}. At that position, the borders of several runs partially overlap, resulting in a boosted exposure level but also strong systematics due to edge effects. In the crosscheck analysis, the exposure level at the position of the large-scale component is lower, resulting in a decreased sensitivity. Accordingly, we verified that its inclusion or exclusion in the source model of the crosscheck analysis did not have any relevant impact on the predicted number of counts at its position. We therefore could not confirm the detection of this new large-scale emission component nearby HESS J1702-420. We point out that the HGPS already reported the presence of a large-scale component with similar position and size, called HGPSG 041, that was similarly discarded due to a non-detection in the crosscheck analysis. In the future, new dedicated observations of the region with more uniform exposure will ultimately probe its presence and nature.

Appendix D 3D analysis of H.E.S.S. data in independent energy bands

Refer to caption
Figure 8: Upper panel: The figure, centered at the approximate position of HESS J1702-420, shows contours corresponding to 150, 200, 250 and 300 counts detected by H.E.S.S. above 2TeV2\,\text{TeV} per smoothing area. Overlaid on the map are the 1σ1\sigma extension contours of the components HESS J1702-420A and HESS J1702-420B, as obtained from the 3D fit in separate energy bands. Lower panel: spectral results of the energy-resolved 3D analysis, for HESS J1702-420A and HESS J1702-420B. Vertical lines separate the energy bands that were independently used to perform the source modeling. In both panels, the reference results obtained over the full energy range (see Section 2.1.3) are indicated in black.
𝐄min\mathbf{E_{\text{{min}}}} 𝐄max\mathbf{E_{\text{{max}}}} Significance of H𝟏\mathbf{\mbox{\boldmath\text{{H}}}_{1}} vs. H𝟎\mathbf{\mbox{\boldmath\text{{H}}}_{0}} Significance of H𝟐\mathbf{\mbox{\boldmath\text{{H}}}_{2}} vs. H𝟏\mathbf{\mbox{\boldmath\text{{H}}}_{1}}
TeV TeV [𝝈]\mathbf{[\mbox{\boldmath$\sigma$}]} [𝝈]\mathbf{[\mbox{\boldmath$\sigma$}]}
2.0 3.7 19.0 2.4
3.7 15.3 20.2 2.0
15.3 150 12.1 5.0
Table 6: Significance for the presence of zero (H0\text{H}_{0}), one (H1\text{H}_{1}) or two (H2\text{H}_{2}) model components in each independent energy band, as described in the text (Section D). The significance was obtained by converting a log-likelihood ratio (see Eq. 2) to a confidence levels in units of Gaussian standard deviations, taking into account the number of additional degrees of freedom corresponding to each new hypothesis.

According to the 3D model developed in Section 2.1.2, HESS J1702-420 is best described by the superposition of two independent components. To further validate this fact, we repeated the 3D analysis within three independent — that is nonoverlapping — energy bands defined by the edges 2.0,3.7,15.32.0,3.7,15.3 and 150TeV150\,\text{TeV}. These were chosen to ensure a roughly constant level of γ\gamma-ray flux. During the fit, the spectral indices of all model components were fixed to the values obtained in the whole energy range (Section 2.1.2). This was meant to prevent poor spectral modeling, due to the limited lever arm and insufficient number of photons reconstructed within each individual energy band. The spectral normalizations were instead left free to vary, together with all spatial and background parameters. For each energy band, we used the likelihood ratio test (see Eq. 2) to compare the statistical significance of three nested hypotheses:

H0:

Null hypothesis, with no model component describing HESS J1702-420;

H1:

HESS J1702-420 is described by one Gaussian component, with the spectral index of HESS J1702-420B. For this component, we left the spatial eccentricity and rotation angle free to vary, for a total of six44 4 One spectral normalization, plus five spatial parameters. free model parameters;

H2:

HESS J1702-420 is described by two Gaussian components, with the spectral indices of HESS J1702-420B and HESS J1702-420A. For the latter, we considered a strictly symmetric Gaussian morphology, for a total of four55 5 One spectral normalization, plus three spatial parameters. free model parameters.

The relative significance of each hypothesis, for all the energy bands, is reported in Table 6. It turns out that HESS J1702-420B is significant in all energy bands, while HESS J1702-420A is significant only in the 15.3150TeV15.3-150\,\text{TeV} band.

The spatial and spectral shapes of the two components within each energy band are shown in Figure 8, where the reference result from the whole 2150TeV2-150\,\text{TeV} fit range are reported in black. The upper panel shows the 1σ1\sigma contours of HESS J1702-420A and HESS J1702-420B. HESS J1702-420A is not drawn in the two lowest energy bands (i.e., for E15.3TeVE\leq 15.3\,\text{TeV}), because it is not significant (see Table 6). In each energy band, the best-fit morphologies of both components are consistent with the reference results obtained in Section 2.1. The lower panel of the figure compares the reference spectra of HESS J1702-420A and HESS J1702-420B (in black) with the spectra obtained in different energy bands. The energy-resolved results are well connected and in agreement with the reference power laws.

To summarize, in each independent energy band HESS J1702-420 is well described by a simple model, based on either one or two components with Gaussian morphologies and power law spectra. HESS J1702-420B is significant in all energy bands, with stable morphology and spectrum. HESS J1702-420A instead is significant only in the highest energy band, due to its exceptionally hard spectrum. This is precisely what would be expected in case the emission is due to two separate components. Additionally, we summed the log-likelihood values obtained in each independent energy band, and estimated that globally a two-component model is better than a one-component model with a confidence level of 5.3σ5.3\sigma. This value is consistent with the 5.4σ5.4\sigma significance for the presence of HESS J1702-420A obtained from the 3D analysis in the full 2150TeV2-150\,\text{TeV} energy range (see Table 3). All these facts support the validity of the simple two-component approach that resulted naturally from the iterative procedure described in Section 2.1.2. However, the possibility that a single source component with energy-dependent morphology could provide a better fit of the data — at the expense of a large number of free parameters describing the variation of source size, eccentricity and center position as a function of the energy — cannot be ruled out at this stage.

Appendix E Fermi-LAT analysis details

The data (photon event file and spacecraft file) were retrieved from the LAT data server, through a query defined by the parameters in Table 7. We adopted the event selection cuts described in Table 8. For the analysis, we defined a square 10o× 10o10^{\,\text{o}}\times\,10^{\,\text{o}} RoI, fully inscribed within the events selection circle. Events were binned spatially using 0.05o× 0.05o0.05^{\,\text{o}}\times\,0.05^{\,\text{o}} spatial pixels, and spectrally using 8 bins per energy decade.

Direction (Gal) Radius Time range (Gregorian) Energy (GeV)
(344.3o,0.2o)(344.3^{\,\text{o}},-0.2^{\,\text{o}}) 21.21o21.21^{\,\text{o}} 2008-08-04 — 2020-06-26 1 — 1000
Table 7: Query details for the Fermi-LAT data.
zmax evclass evtype Selection filter
90 120 3 (DATA_QUAL>>0)&&(LAT_CONFIG====1)
Table 8: Events selection cuts for the Fermi-LAT analysis.

During the maximum likelihood fit, the spectral index and normalization of all sources within 3o3^{\,\text{o}} from the RoI center and having a TS value higher than 25 were left free to vary. Additionally, the spectral normalization of all sources with TS>30\mathrm{TS}>30 within the whole 10o× 10o10^{\,\text{o}}\times\,10^{\,\text{o}} was also adjusted. The Galactic diffuse emission model (gll_iem_v07.fits) was left free to vary, while the extra-Galactic diffuse model was considered fixed to the default one (iso_P8R3_SOURCE_V2_v1.txt).

Appendix F Method for the derivation of lower limits on the particle cut-off energy

The lower limits on the cut-off energies in the spectra of the proton or electron parent populations were obtained as follows:

  1. i

    we defined an array of trials particle cut-off energies {E1c,,ENc}\{E^{\text{c}}_{1},\,\ldots,E^{\text{c}}_{N}\};

  2. ii

    for each fixed cut-off energy EicE^{\text{c}}_{i}, we adjusted a power-law with exponential cut-off to the 3D H.E.S.S. data. The spectral normalization and index, together with all free nuisance parameters of the model, were optimized at each step. For each trial cut-off energy, we stored the likelihood value of the fit, (Eic) max\mathscr{L}^{\text{\,max}}_{(E^{\,\text{c}}_{i})};

  3. iii

    then we computed the profile of

    TS(Eic)=2ln(0 max(Eic) max),\text{TS}(E^{\,\text{c}}_{i})=-2\ln\,\left(\frac{\mathscr{L}^{\text{\,max}}_{0}}{\mathscr{L}^{\text{\,max}}_{(E^{\,\text{c}}_{i})}}\right)\,\,, (11)

    where 0 max\mathscr{L}^{\text{\,max}}_{0} represents the maximum model likelihood under the null power law — or equivalently EcE^{\,\text{c}}\rightarrow\,\infty — hypothesis;

  4. iv

    we finally computed the 90%,95% and 99% confidence level lower limits on the particle cut-off energy by finding the values where the TS profile increased from the minimum (which in our case was at infinity) by an amount TS(90%)=2.706\text{TS}_{(90\%)}=2.706, TS(95%)=3.841\text{TS}_{(95\%)}=3.841 and TS(99%)=6.635\text{TS}_{(99\%)}=6.635 respectively.

This procedure, based on Rolke et al. 2005, is partly implemented in the Fit.stat_profile() routine of gammapy.

Appendix G Cosmic ray diffusion model and energy loss calculation

The source physical size RsourceR_{\text{source}} depends directly on the distance from Earth dd and the measured angular size of the source θsource\theta_{\mathrm{source}}, as Rsource=d×tan(θsource)R_{\text{source}}=d\,\times\,\tan(\theta_{\mathrm{source}}). Here, we assumed θsource=1.28o\theta_{\mathrm{source}}=1.28^{\,\text{o}}, which corresponds to the major 2σ2\sigma diameter of HESS J1702-420B. For both hadronic and leptonic cosmic rays, we adopted the energy-dependent diffusion coefficient defined in Gabici et al. 2007, testing different values for the normalization χ\chi. The relation between the diffusion coefficient and the diffusion timescale is given by:

τdiff[Rsource(d)]26D(E,B).\tau_{\mathrm{diff}}\approx\frac{[R_{\mathrm{source}}(d)]^{2}}{6\,D(E,B)}\,\,. (12)

Energy losses for protons due to pp-pp collisions were estimated — neglecting ionization losses that are irrelevant for relativistic protons — as

τpp6×105(nH100cm3)1yr,\tau_{pp}\approx 6\times 10^{5}\left(\frac{n_{\text{H}}}{100\,\mathrm{cm}^{-3}}\right)^{-1}\,\,\mathrm{yr}\,\,, (13)

as in Gabici et al. 2007. Finally, the electron energy loss timescale was computed using

τloss=(1τsyn+i1τICi)1,\tau_{\mathrm{loss}}=\left(\frac{1}{\tau_{\mathrm{syn}}}+\sum_{i}\frac{1}{\tau_{\mathrm{IC}}^{\,i}}\right)^{-1}\,\,, (14)

where

τsyn1.3×105(E1TeV)1(B10μG)2yr\tau_{\mathrm{syn}}\approx 1.3\times 10^{5}\left(\frac{E}{1\,\mathrm{TeV}}\right)^{-1}\left(\frac{B}{10\,\mu G}\right)^{-2}\,\,\mathrm{yr} (15)

is the synchrotron loss timescale and

τIC3×107(E10GeV)1(Urad1eVcm3)1yr\tau_{\mathrm{IC}}\approx 3\times 10^{7}\left(\frac{E}{10\,\mathrm{GeV}}\right)^{-1}\left(\frac{U_{\mathrm{rad}}}{1\,\mathrm{eV}\,\mathrm{cm}^{-3}}\right)^{-1}\,\,\mathrm{yr} (16)

is the inverse-Compton loss timescale for a given photon field (Ginzburg & Syrovatskii 1964).

Appendix H Additional material

In this section, additional figures and tables are provided.

Refer to caption
Refer to caption
Refer to caption
Figure 9: Spatial distributions of the significance of model residuals (left column) and histograms of significance values (right column), computed in the energy bands 2.05.0TeV2.0-5.0\,\text{TeV} (first row), 5.015.0TeV5.0-15.0\,\text{TeV} (second row) and 15.0150TeV15.0-150\,\text{TeV} (third row).
e_ref e_min e_max sqrt_ts counts dnde dnde_ul dnde_errp dnde_errn
[TeV] [TeV] [TeV] [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]}
3.19 2.08 4.90 3.36 40973 4.08e-14 8.35e-14 1.33e-14 1.27e-14
8.66 4.90 15.32 3.15 15812 4.42e-15 7.01e-15 1.59e-15 1.50e-15
23.50 15.32 36.04 5.29 3363 1.42e-15 2.00e-15 3.64e-16 3.33e-16
47.94 36.04 63.76 4.83 835 4.73e-16 1.02e-15 1.52e-16 1.33e-16
84.80 63.76 112.78 4.00 454 1.89e-16 4.91e-16 7.76e-17 6.54e-17
130.07 112.78 150.00 0.00 145 1.20e-23 2.21e-16 2.48e-17 1.20e-23
(a) Spectral points of HESS J1702-420A.
e_ref e_min e_max sqrt_ts counts dnde dnde_ul dnde_errp dnde_errn
[TeV] [TeV] [TeV] [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]} [TeV𝟏cm𝟐s𝟏]\mathbf{[\text{{TeV}}^{-1\,}\text{{cm}}^{-2\,}\text{{s}}^{-1}]}
2.77 2.08 3.68 18.62 31603 5.86e-13 7.16e-13 3.62e-14 3.58e-14
4.25 3.68 4.90 12.13 9370 1.98e-13 2.36e-13 1.92e-14 1.87e-14
6.51 4.90 8.66 11.01 10687 4.98e-14 5.78e-14 5.18e-15 5.06e-15
11.52 8.66 15.32 6.60 5125 9.82e-15 1.14e-14 1.68e-15 1.64e-15
23.50 15.32 36.04 6.89 3363 2.40e-15 3.44e-15 4.02e-16 3.89e-16
63.76 36.04 112.78 3.20 1289 1.78e-16 3.74e-16 6.31e-17 5.94e-17
130.07 112.78 150.00 0.49 145 2.48e-17 3.34e-16 5.62e-17 2.48e-17
(b) Spectral points of HESS J1702-420B.
Table 9: Spectral points obtained from the 3D analysis with gammapy (Section 2.1.2). The points were obtained by rescaling the amplitude of the reference spectral model within each energy bin, re-optimizing at the same time all free nuisance parameters of the model. The column names follow the convensions defined by the open-source “data formats for gamma-ray astronomy” community (https://gamma-astro-data-formats.readthedocs.io/en/latest/).
Refer to caption
Figure 10: Map of test statistic (TS) for the presence of an additional source in the RoI, with respect to a source model containing only the galactic and isotropic γ\gamma-ray diffuse sources. The color bar, contours and markers are identical to Figure 4.
Figure 11: Brightness temperature peaks obtained by integrating the data from the Mopra radio survey (Braiding et al. 2018) within a 0.3o0.3^{\,\text{o}}-side square window centered at the best-fit position of HESS J1702-420A (shown in red in Figure 12).
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 12: Column density maps of molecular hydrogen in the direction of HESS J1702–420, obtained by integrating the brightness temperature profile of 12CO(J=10)(J=1\rightarrow 0) data from the Mopra radio survey within the velocity intervals indicated above each panel (corresponding to the peaks in Figure 11). The brightness temperature values were converted to H2H_{2} column density assuming the conversion factor XCO=1.5×1020cm2(Kkms1)1X_{CO}=1.5\times 10^{20}\,\mathrm{cm}^{-2}\,(\mathrm{K}\,\mathrm{km}\,\mathrm{s}^{-1})^{-1} (Strong et al. 2004). The green (orange) contours indicate the 5 and 12σ12\sigma (3 and 5σ5\sigma) significance levels of the TeV γ\gamma-ray flux above 2TeV2\,\text{TeV} (40TeV40\,\text{TeV}). The dashed ellipse and solid circle represent the 1σ1\sigma morphologies of HESS J1702-420B and HESS J1702-420A, respectively. Finally, the red square — centered at the best-fit position of HESS J1702-420A — indicates the extraction region used to produce the profile reported in Figure 11
Figure 13: multi wavelength modeling of HESS J1702-420A, under the assumption of a one-zone leptonic scenario powered by a power law distribution of electrons. The synchrotron emission was computed assuming a magnetic field value of 0.3 and 3μG3\,\mu G. The black error bars represent the VHE flux points of HESS J1702-420A, while the red one indicates the flux of the unidentified Suzaku src B (Fujinaga et al. 2011).
Near distance 𝐧H\mathbf{n_{\text{{H}}}} 𝐖𝐩(𝐄>𝟏GeV)\mathbf{W_{p}(E>1\,\text{{GeV}})}
[kpc] [×𝟏𝟎𝟎cm𝟑]\bm{[\times 100\,\text{{cm}}^{-3\,}]} [erg]
0.25 1.8 7.9 10457.9\,10^{45}
0.5 5 1.1 10461.1\,10^{46}
1.6 1 5.8 10475.8\,10^{47}
2.6 3.3 4.7 10474.7\,10^{47}
4 1.4 2.6 10482.6\,10^{48}
5.1 0.5 1.2 10491.2\,10^{49}
5.7 0.4 1.9 10491.9\,10^{49}
6 0.2 4.1 10494.1\,10^{49}
Table 10: For each one of the molecular clouds on the line of sight of HESS J1702-420, we report the distance and density from (Lau et al. 2018), and the proton energetics that would be necessary to power the observed VHE emission of HESS J1702-420B in each case.