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Review of oxygen measurement and relevance to the mechanisms of FLASH radiotherapy
Authors:
Brian W. Pogue,
David I. Hunter,
Corbin Narita,
William S. Thomas,
Xu Cao,
Harold M. Swartz
Abstract:
FLASH radiotherapy (FLASH-RT) is the phenomenon of relative sparing of normal tissue when ultra-high dose rates (UHDR) are used compared with conventional dose rates (CDR) as clinically used. Despite extensive investigation, the underlying mechanisms remain unexplained. Among the proposed hypotheses, tissue oxygen has consistently been a central theme because oxygen is the most dominant factor kno…
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FLASH radiotherapy (FLASH-RT) is the phenomenon of relative sparing of normal tissue when ultra-high dose rates (UHDR) are used compared with conventional dose rates (CDR) as clinically used. Despite extensive investigation, the underlying mechanisms remain unexplained. Among the proposed hypotheses, tissue oxygen has consistently been a central theme because oxygen is the most dominant factor known to modulate radiation-induced damage. The factors implicated in FLASH sparing include the baseline partial pressure of oxygen (pO2), transient radiolytic oxygen consumption (ROC), and oxygen-dependent changes in the chemistry of reactive oxygen species (ROS) that vary with dose rate. This review synthesizes current evidence on in vivo oxygen measurement techniques, highlighting their capabilities and limitations in capturing the spatial and temporal heterogeneity of tissue oxygenation. Key experimental studies in skin are summarized and interpreted by modulating oxygen levels via changes in inspired oxygen gas and vascular clamping interventions, demonstrating that the FLASH effect occurs only at intermediate baseline pO2 (normoxic or slightly hypoxic) values, but not at hypoxia or hyperoxia. Direct measurement of oxygen consumption during UHDR irradiation is possible, providing one of the first in situ measurements of radiation chemistry in patients. In parallel, recent advances in fast in vitro radiation chemistry assays indicate that UHDR irradiation alters radical yields, favoring increased production of solvated electrons and reduced hydroxyl radical mediated damage. Taken together, the available data suggest that the FLASH sparing effect arises from an interplay among the delivered dose and dose rate, local oxygen availability, and radiation chemistry, with tissue-specific variation in scavenging, leading to altered biological responses across the CDR-to-UHDR shift.
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Submitted 20 July, 2026;
originally announced July 2026.
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Operation and performance of ProtoDUNE Dual Phase liquid argon time projection chamber
Authors:
DUNE Collaboration,
S. Abbaslu,
F. Abd Alrahman,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
K. Adhikari,
C. Adriano,
K. Agudelo-Jaramillo,
F. Akbar,
F. Alemanno,
N. S. Alex,
L. Aliaga Soplin,
A. Alqaisi,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
R. Amarinei
, et al. (1341 additional authors not shown)
Abstract:
ProtoDUNE-DP was the largest ever built Liquid Argon Time Projection Chamber (LArTPC) operating in Dual-Phase (DP) mode, with a liquid target and charge read-out placed in the gas. It had an active volume of $6\times6\times6$\,m$^3$ corresponding to an active mass of 300\,t (total LAr mass of 720\,t), constructed at the CERN Neutrino Platform and took data from 2019 to 2020 with cosmic muons. In P…
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ProtoDUNE-DP was the largest ever built Liquid Argon Time Projection Chamber (LArTPC) operating in Dual-Phase (DP) mode, with a liquid target and charge read-out placed in the gas. It had an active volume of $6\times6\times6$\,m$^3$ corresponding to an active mass of 300\,t (total LAr mass of 720\,t), constructed at the CERN Neutrino Platform and took data from 2019 to 2020 with cosmic muons. In ProtoDUNE-DP the electric drift field is oriented in the vertical direction, causing the electrons to drift vertically towards the anode at the top. The ionization charge is then extracted into the gaseous argon above the liquid surface, amplified by Townsend avalanches, and collected by the charge readout planes. The detector experienced significant technical problems affecting the long-term operation of the Charge Readout Planes, formed by the Large Electron Multipliers, but other critical segments demonstrated required performance including the delivery of -300 kV to the TPC cathode, verification of replaceable charge read-out electronics, and operation of the photon detection system. ProtoDUNE-DP experience resulted in improved designs of the Vertical Drift LArTPC.
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Submitted 21 July, 2026; v1 submitted 17 July, 2026;
originally announced July 2026.
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The performance of the TA$\times$4 surface detector array: 4.3 years of the first-half expansion
Authors:
Telescope Array Collaboration,
R. U. Abbasi,
T. Abu-Zayyad,
M. Allen,
J. W. Belz,
D. R. Bergman,
F. Bradfield,
I. Buckland,
W. Campbell,
B. G. Cheon,
K. Endo,
A. Fedynitch,
T. Fujii,
K. Fujisue,
K. Fujita,
M. Fukushima,
G. Furlich,
A. Gálvez Ureña,
Z. Gerber,
N. Globus,
T. Hanaoka,
W. Hanlon,
N. Hayashida,
H. He,
K. Hibino
, et al. (105 additional authors not shown)
Abstract:
The Telescope Array (TA) experiment aims to reveal the origin of ultra-high-energy cosmic rays (UHECRs) by observing air showers using surface detectors (SDs), which spread over an area of approximately 700 km$^2$, and fluorescence detectors (FDs) viewing the skies above the SD array. The TA experiment has been observing UHECRs since 2008, and has reported an indication of clustering in the arriva…
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The Telescope Array (TA) experiment aims to reveal the origin of ultra-high-energy cosmic rays (UHECRs) by observing air showers using surface detectors (SDs), which spread over an area of approximately 700 km$^2$, and fluorescence detectors (FDs) viewing the skies above the SD array. The TA experiment has been observing UHECRs since 2008, and has reported an indication of clustering in the arrival directions of cosmic-ray events with energy greater than 57 EeV. To improve the exposure for anisotropy studies of UHECRs, the TA$\times$4 upgrade was designed to expand the observational area by approximately 2,000 km$^2$ with 500 additional SDs. Half of the planned upgrade, consisting of 257 SDs, was completed, and the newly installed array began operation in 2019. In addition to the expanded SD array, two FD stations were constructed for the TA$\times$4 experiment. In this paper, we present a study of the performance of the expanded SD array, including the energy resolution, angular resolution, and effective aperture, over the first 4.3 years of data acquisition. While the effective aperture varied initially due to changing detector states, it has stabilized since June 2023 with more than 90\% operational SDs. Furthermore, a new inter-tower trigger system was implemented to connect six new communication towers to form two geographically separated arrays, increasing the effective aperture. The time variation of this effective aperture, the resulting total exposure of approximately 3,500 km$^2$~sr~yr, and a comparison with the original TA SD array are presented to demonstrate the performance of the expanded array.
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Submitted 26 June, 2026;
originally announced June 2026.
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Charge readout electronics for the DUNE horizontal drift far detector: design and performance in ProtoDUNE-HD
Authors:
DUNE Collaboration,
S. Abbaslu,
F. Abd Alrahman,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
K. Adhikari,
C. Adriano,
K. Agudelo-Jaramillo,
F. Akbar,
F. Alemanno,
N. S. Alex,
L. Aliaga Soplin,
A. Alqaisi,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
R. Amarinei
, et al. (1346 additional authors not shown)
Abstract:
DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon time projection chambers ever built. This detector design calls for custom-built cryogenic front-end electronics to meet its performance requirements. This paper describes the charge readout electronics that will be used i…
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DUNE (Deep Underground Neutrino Experiment) is a long-baseline neutrino oscillation experiment currently under construction, whose far detectors will be the largest liquid argon time projection chambers ever built. This detector design calls for custom-built cryogenic front-end electronics to meet its performance requirements. This paper describes the charge readout electronics that will be used in the DUNE horizontal drift (HD) far detector and presents performance results using data from the ProtoDUNE-HD detector, a 770 ton liquid argon time projection chamber operated at the CERN Neutrino Platform in 2024 that served as the final prototype of the DUNE HD design.
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Submitted 12 August, 2026; v1 submitted 26 April, 2026;
originally announced April 2026.
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Dynamic rephasing in a telecom warm vapor quantum memory
Authors:
Ilse Maillette de Buy Wenniger,
Paul Burdekin,
Shicheng Zhang,
Mikhael J. Rasiah,
Anindya Rastogi,
Otto T. P. Schmidt,
Patrick M. Ledingham,
Ian A. Walmsley,
S. E. Thomas
Abstract:
The Off-Resonant Cascaded Absorption (ORCA) protocol in warm atomic vapors offers a scalable platform for high-bandwidth, low noise quantum memories, but its coherence time is fundamentally limited by Doppler-induced dephasing. We introduce and experimentally demonstrate a dynamic rephasing protocol that counteracts Doppler dephasing in a telecom-band ORCA quantum memory. By transferring the store…
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The Off-Resonant Cascaded Absorption (ORCA) protocol in warm atomic vapors offers a scalable platform for high-bandwidth, low noise quantum memories, but its coherence time is fundamentally limited by Doppler-induced dephasing. We introduce and experimentally demonstrate a dynamic rephasing protocol that counteracts Doppler dephasing in a telecom-band ORCA quantum memory. By transferring the stored excitation to an auxiliary shelving state, we effectively reverse the accumulated Doppler phase and extend the storage time by a factor of 50 while preserving the memory's GHz bandwidth and low noise. Using this protocol, we then demonstrate on-demand storage and retrieval of four independent time-bin modes within a single warm vapor memory -- showing that Doppler dephasing can alternatively be harnessed for high-dimensional temporal mode processing. Our results establish rephasing in warm atomic vapors as a viable route toward high-bandwidth, temporally multiplexed quantum memories operating at room temperature.
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Submitted 15 April, 2026;
originally announced April 2026.
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The Quantum Education Ecosystem: A Review of Global Initiatives, Methods, and Challenges
Authors:
Sara Ayman Metwalli,
Aryan Iliat,
Steven Thomas,
Suresh Nair,
Zizwe A. Chase,
Russell R. Ceballos
Abstract:
Quantum information science and engineering (QISE) is advancing rapidly, creating an urgent demand for a quantum-literate, technically proficient workforce. Despite this need, quantum education initiatives remain fragmented across regions, educational levels, and instructional approaches, which constrains their scalability and overall impact. This paper offers a structured analysis of the current…
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Quantum information science and engineering (QISE) is advancing rapidly, creating an urgent demand for a quantum-literate, technically proficient workforce. Despite this need, quantum education initiatives remain fragmented across regions, educational levels, and instructional approaches, which constrains their scalability and overall impact. This paper offers a structured analysis of the current quantum education ecosystem by synthesizing global initiatives, pedagogical strategies, and emerging trends. Quantum education is examined through a dual framework that considers both learner progression and instructional methodology, emphasizing the evolution of educational approaches from conceptual exposure to formal reasoning and practical application. Analysis of data from international programs and academic literature reveals key challenges, including inequitable access, absence of standardized curricula, limited empirical evaluation, and discontinuities between educational stages. Quantum education is more accurately conceptualized as a non-linear ecosystem rather than a traditional pipeline, characterized by multiple entry points, feedback mechanisms, and critical transition gaps. Based on this perspective, directions are proposed for developing more coherent, inclusive, and scalable educational frameworks that align with workforce requirements and technological progress. This work presents a unified perspective on the quantum education landscape and outlines actionable strategies to enhance global quantum literacy and workforce preparedness.
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Submitted 7 April, 2026;
originally announced April 2026.
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Design and implementation of a modular laser system for AMO experiments
Authors:
Klara Theophilo,
Scott J Thomas,
Georgina Croft,
Yashna N D Lekhai,
Alexander Owens,
Daisy R H Smith,
Silpa Muralidharan,
Cameron Deans
Abstract:
Robust laser delivery and stabilization are key components in atom-based quantum technologies, such as quantum computing. Moving these technologies towards product-like deployment requires scalable, compact, cost-effective, and upgradable modules. Here we describe laser systems consisting of application-flexible modules and demonstrate their performance by characterizing key metrics and by integra…
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Robust laser delivery and stabilization are key components in atom-based quantum technologies, such as quantum computing. Moving these technologies towards product-like deployment requires scalable, compact, cost-effective, and upgradable modules. Here we describe laser systems consisting of application-flexible modules and demonstrate their performance by characterizing key metrics and by integration with ion trap systems. The laser system is confined to a single server rack and a compact locking station. Both are Class 1 laser products with fiber in-out and electronic control of the laser light. This is achieved through precision manufacture of optical boards that are designed to reduce the degrees of freedom, ease alignment, and increase the robustness to environmental factors. We present a range of 13 wavelengths from 375 nm to 1092 nm: efficiencies from laser source to ion trap range from 21 - 28%, with laser stabilization line widths below 1 MHz.
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Submitted 24 March, 2026; v1 submitted 18 March, 2026;
originally announced March 2026.
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An Atomic Interface for High-Dimensional Temporal Mode Quantum Networks
Authors:
Shicheng Zhang,
Aonan Zhang,
Ilse Maillette de Buy Wenniger,
Paul M. Burdekin,
Jerzy Szuniewicz,
Steven Sagona-Stophel,
Sarah E. Thomas,
Ian A. Walmsley
Abstract:
Temporal modes of photons are a promising encoding scheme for high-dimensional quantum networks due to their high channel capacity and fiber compatibility. However, realizing their full potential requires devices capable of synchronizing, processing and interfacing these modes across photonic and atomic bandwidths. In this work, we demonstrate a programmable high-dimensional temporal mode processo…
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Temporal modes of photons are a promising encoding scheme for high-dimensional quantum networks due to their high channel capacity and fiber compatibility. However, realizing their full potential requires devices capable of synchronizing, processing and interfacing these modes across photonic and atomic bandwidths. In this work, we demonstrate a programmable high-dimensional temporal mode processor using a Raman quantum memory in warm cesium vapor. We exploit the single-mode nature of the Raman interaction kernel, dynamically shaping the control field to synthesize a tunable coherent filter that selectively addresses specific temporal waveforms. This mechanism enables on-demand storage, filtering, and conversion, providing a coherent interface between MHz- and GHz-bandwidth modes. We validate the platform's selectivity across a basis of 30 orthogonal Hermite-Gaussian modes and certify high-fidelity quantum operation via 5-dimensional process tomography. By combining deterministic mode conversion with bidirectional bandwidth interfacing, we establish the Raman memory as a critical active node for scalable quantum information processing.
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Submitted 6 March, 2026;
originally announced March 2026.
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StochasticGW-GPU: rapid quasi-particle energies for molecules beyond 10000 atoms
Authors:
Phillip S. Thomas,
Minh Nguyen,
Dimitri Bazile,
Tucker Allen,
Barry Y. Li,
Wenfei Li,
Mauro Del Ben,
Jack Deslippe,
Daniel Neuhauser
Abstract:
$\mathtt{StochasticGW}$ is a code for computing accurate Quasi-Particle (QP) energies of molecules and material systems in the GW approximation. $\mathtt{StochasticGW}…
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$\mathtt{StochasticGW}$ is a code for computing accurate Quasi-Particle (QP) energies of molecules and material systems in the GW approximation. $\mathtt{StochasticGW}$ utilizes the stochastic Resolution of the Identity (sROI) technique to enable a massively-parallel implementation with computational costs that scale semi-linearly with system size, allowing the method to access systems with tens of thousands of electrons. We introduce a new implementation, $\mathtt{StochasticGW-GPU}$, for which the main bottleneck steps have been ported to GPUs and which gives substantial performance improvements over previous versions of the code. We showcase the new code by computing band gaps of hydrogenated silicon clusters ($\textrm{S}\textrm{i}_{\textrm{x}}\textrm{H}_{\textrm{y}}$) containing up to 10001 atoms and 35144 electrons, and we obtain individual QP energies with a statistical precision of better than $\pm0.03$ eV with times-to-solution on the order of minutes.
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Submitted 16 February, 2026; v1 submitted 28 January, 2026;
originally announced January 2026.
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Operation of a Modular 3D-Pixelated Liquid Argon Time-Projection Chamber in a Neutrino Beam
Authors:
DUNE Collaboration,
S. Abbaslu,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
C. Adriano,
F. Akbar,
F. Alemanno,
N. S. Alex,
K. Allison,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade,
C. Andreopoulos,
M. Andreotti
, et al. (1299 additional authors not shown)
Abstract:
The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) neutrino beam at Fermi National Accelerator Laboratory (Fermilab). This detector prototypes a new modular design for a liquid argon time-projection chamber (LArTPC), comprised of a two-by-two array of four modules, each f…
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The 2x2 Demonstrator, a prototype for the Deep Underground Neutrino Experiment (DUNE) liquid argon (LAr) Near Detector, was exposed to the Neutrinos from the Main Injector (NuMI) neutrino beam at Fermi National Accelerator Laboratory (Fermilab). This detector prototypes a new modular design for a liquid argon time-projection chamber (LArTPC), comprised of a two-by-two array of four modules, each further segmented into two optically-isolated LArTPCs. The 2x2 Demonstrator features a number of pioneering technologies, including a low-profile resistive field shell to establish drift fields, native 3D ionization pixelated imaging, and a high-coverage dielectric light readout system. The 2.4 tonne active mass detector is flanked upstream and downstream by supplemental solid-scintillator tracking planes, repurposed from the MINERvA experiment, which track ionizing particles exiting the argon volume. The antineutrino beam data collected by the detector over a 4.5 day period in 2024 include over 30,000 neutrino interactions in the LAr active volume-the first neutrino interactions reported by a DUNE detector prototype. During its physics-quality run, the 2x2 Demonstrator operated at a nominal drift field of 500 V/cm and maintained good LAr purity, with a stable electron lifetime of approximately 1.25 ms. This paper describes the detector and supporting systems, summarizes the installation and commissioning, and presents the initial validation of collected NuMI beam and off-beam self-triggers. In addition, it highlights observed interactions in the detector volume, including candidate muon anti-neutrino events.
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Submitted 17 June, 2026; v1 submitted 6 September, 2025;
originally announced September 2025.
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The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Authors:
Andrew Ferguson,
Marisa LaFleur,
Lars Ruthotto,
Jesse Thaler,
Yuan-Sen Ting,
Pratyush Tiwary,
Soledad Villar,
E. Paulo Alves,
Jeremy Avigad,
Simon Billinge,
Camille Bilodeau,
Keith Brown,
Emmanuel Candes,
Arghya Chattopadhyay,
Bingqing Cheng,
Jonathan Clausen,
Connor Coley,
Andrew Connolly,
Fred Daum,
Sijia Dong,
Chrisy Xiyu Du,
Cora Dvorkin,
Cristiano Fanelli,
Eric B. Ford,
Luis Manuel Frutos
, et al. (75 additional authors not shown)
Abstract:
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 with the goal of understanding how the MPS domains (Astronomy, Chemistry, Materials Research, Mathematical Sciences, and Physics) can best capitalize on, and contribute to, the future of AI. We present here a summary and…
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This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 with the goal of understanding how the MPS domains (Astronomy, Chemistry, Materials Research, Mathematical Sciences, and Physics) can best capitalize on, and contribute to, the future of AI. We present here a summary and snapshot of the MPS community's perspective, as of Spring/Summer 2025, in a rapidly developing field. The link between AI and MPS is becoming increasingly inextricable; now is a crucial moment to strengthen the link between AI and Science by pursuing a strategy that proactively and thoughtfully leverages the potential of AI for scientific discovery and optimizes opportunities to impact the development of AI by applying concepts from fundamental science. To achieve this, we propose activities and strategic priorities that: (1) enable AI+MPS research in both directions; (2) build up an interdisciplinary community of AI+MPS researchers; and (3) foster education and workforce development in AI for MPS researchers and students. We conclude with a summary of suggested priorities for funding agencies, educational institutions, and individual researchers to help position the MPS community to be a leader in, and take full advantage of, the transformative potential of AI+MPS.
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Submitted 15 March, 2026; v1 submitted 2 September, 2025;
originally announced September 2025.
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SPLENDOR: a novel detector platform to search for light dark matter with narrow-gap semiconductors
Authors:
P. Abbamonte,
A. Albert,
D. S. M. Alves,
J. Anczarski,
T. Aralis,
T. U. Böhm,
C. Boyd,
J. Chen,
P. -H. Chu,
M. S. Cook,
C. W. Fink,
M. L. Graesser,
Y. Kahn,
C. S. Kengle,
T. Kucinski,
N. A. Kurinsky,
C. Lane,
A. Leder,
R. Massarczyk,
A. Mazumdar,
S. J. Meijer,
W. Nie,
E. A. Peterson,
A. Phipps,
F. Ronning
, et al. (9 additional authors not shown)
Abstract:
We present the design and current status of SPLENDOR, a novel detector platform that combines narrow-gap semiconductor targets with low-noise charge readout to achieve sensitivity to dark matter energy deposits well below the eV scale. SPLENDOR is designed to be a modular and scalable system able to accommodate different target materials and signal readout technologies. SPLENDOR's present strategy…
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We present the design and current status of SPLENDOR, a novel detector platform that combines narrow-gap semiconductor targets with low-noise charge readout to achieve sensitivity to dark matter energy deposits well below the eV scale. SPLENDOR is designed to be a modular and scalable system able to accommodate different target materials and signal readout technologies. SPLENDOR's present strategy entails: (i) the use of strongly correlated f-electron semiconductors with anisotropic electronic structures to enable not only sub-eV energy thresholds, but also directional sensitivity to the incoming dark matter flux, allowing for signal-background discrimination via daily modulation, and (ii) custom charge readout based on cryogenic high-electron-mobility transistor (cryoHEMT) amplifiers approaching single-electron resolution. We report on the selection and characterization of Eu$_5$In$_2$Sb$_6$ as the target material for SPLENDOR's first prototype detector, as well as the development and calibration of the prototype amplifier chain, achieving a measured charge resolution of 20$\pm$7 electrons in silicon test samples, consistent with predicted performance. This provides a demonstration of the detector architecture, which is now ready for deployment in a dark matter search campaign to deliver SPLENDOR's first science results. Finally, we present estimates of sensitivity reach in the parameter space of athermally produced relic dark matter under high- and low-background environments, and for various amplifier technology upgrades with increasing performance, including planned quantum sensing upgrades in order to achieve our ultimate goal of sub-electron resolution in optimized systems. SPLENDOR provides a novel approach to dark matter direct detection, combining quantum sensing with material's design to open new avenues of exploration in the sub-MeV mass range of dark matter parameter space.
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Submitted 15 August, 2025; v1 submitted 23 July, 2025;
originally announced July 2025.
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Disordered Photosynthetic Aggregates Can Host Functional Vibronic Couplings At Room Temperature
Authors:
Asha S. Thomas,
Camelia Roy,
Vivek N. Bhat,
Indranil Roy,
Vivek Tiwari
Abstract:
Photosynthesis relies on a network of chlorophyll-like molecules which together lead to efficient long-range energy funneling. Evidence at cryogenic temperatures suggests that mechanistic details of energy/charge transfer must invoke delocalized vibronic states. Whether these survive at physiological temperature in large photosynthetic aggregates is an open question. Parallel research on artificia…
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Photosynthesis relies on a network of chlorophyll-like molecules which together lead to efficient long-range energy funneling. Evidence at cryogenic temperatures suggests that mechanistic details of energy/charge transfer must invoke delocalized vibronic states. Whether these survive at physiological temperature in large photosynthetic aggregates is an open question. Parallel research on artificial templates has relied on cyanines which are unlike chlorophylls. We report two-dimensional electronic spectra of porphyrin nanotubes where we selectively probe mixed Qx-Qy states through polarization control. Early time cross-peaks, their rapid broadening and survival of anisotropic Qx-Qy quantum beats conclusively demonstrate that overlapping vibrational-electronic bands of photosynthetic aggregates indeed host functional vibronic couplings at room temperature. Calculations reveal that disorder is the vital ingredient that dramatically enhances Qx-Qy vibronic mixing across the entire Q band. The parameter regime where energetic disorder is of the order of dense Raman-active vibrations with weak reorganization energies may be the key design principle.
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Submitted 15 July, 2025;
originally announced July 2025.
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Spatial and Temporal Evaluations of the Liquid Argon Purity in ProtoDUNE-SP
Authors:
DUNE Collaboration,
S. Abbaslu,
A. Abed Abud,
R. Acciarri,
L. P. Accorsi,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
C. Adriano,
F. Akbar,
F. Alemanno,
N. S. Alex,
K. Allison,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade,
C. Andreopoulos,
M. Andreotti
, et al. (1301 additional authors not shown)
Abstract:
Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-Phase (ProtoDUNE-SP) was an approximately 700-ton liquid argon detector intended to prototype the Deep Underground Neutrino Experiment (DUNE) Far Detector Horizontal Drift module. It contains two drift volumes bisected by…
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Liquid argon time projection chambers (LArTPCs) rely on highly pure argon to ensure that ionization electrons produced by charged particles reach readout arrays. ProtoDUNE Single-Phase (ProtoDUNE-SP) was an approximately 700-ton liquid argon detector intended to prototype the Deep Underground Neutrino Experiment (DUNE) Far Detector Horizontal Drift module. It contains two drift volumes bisected by the cathode plane assembly, which is biased to create an almost uniform electric field in both volumes. The DUNE Far Detector modules must have robust cryogenic systems capable of filtering argon and supplying the TPC with clean liquid. This paper will explore comparisons of the argon purity measured by the purity monitors with those measured using muons in the TPC from October 2018 to November 2018. A new method is introduced to measure the liquid argon purity in the TPC using muons crossing both drift volumes of ProtoDUNE-SP. For extended periods on the timescale of weeks, the drift electron lifetime was measured to be above 30 ms using both systems. A particular focus will be placed on the measured purity of argon as a function of position in the detector.
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Submitted 27 August, 2025; v1 submitted 11 July, 2025;
originally announced July 2025.
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Super-resolving frequency measurement with mode-selective quantum memory
Authors:
Shicheng Zhang,
Aonan Zhang,
Ilse Maillette de Buy Wenniger,
Paul M. Burdekin,
Steven Sagona-Stophel,
Anindya Rastogi,
Sarah E. Thomas,
Ian A. Walmsley
Abstract:
High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sub-linewidth spectral features. Here, we introduce a platform for super-resolved frequency estimation based on a mode-selective atomic Raman quantum memory implemented in warm caesium vapour. By precisely engineering the light-matter interaction, the…
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High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sub-linewidth spectral features. Here, we introduce a platform for super-resolved frequency estimation based on a mode-selective atomic Raman quantum memory implemented in warm caesium vapour. By precisely engineering the light-matter interaction, the memory coherently stores the optimal temporal mode with high fidelity and retrieves it on demand, achieving mode crosstalk as low as 0.34%. To estimate the separation between two spectral lines, we experimentally measure the mean squared error of the frequency estimate, reaching a sensitivity of 1/20 of the linewidth and a ($34\pm4$)-fold enhancement in precision over direct intensity measurements. This enhanced frequency resolution, combined with on-demand storage, retrieval, and mode-conversion capabilities, establishes a pathway toward multifunctional memory-based time-frequency sensors and their integration within quantum networks.
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Submitted 29 July, 2026; v1 submitted 25 June, 2025;
originally announced June 2025.
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A parametric study of solar wind properties and composition using fluid and kinetic solar wind models
Authors:
Paul Lomazzi,
Alexis P. Rouillard,
Michael A. Lavarra,
Nicolas Poirier,
Pierre-Louis Blelly,
Jean-Baptiste Dakeyo,
Viviane Pierrard,
Victor Réville,
Christian Vocks,
Simon Thomas
Abstract:
The physical processes in the solar corona that shape the solar wind remain an active research topic. Modeling efforts have shown that energy and plasma exchanges near the transition region plays a crucial role in modulating solar wind properties. Although these regions cannot be measured in situ, plasma parameters can be inferred from coronal spectroscopy and ionization states of heavy ions, whic…
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The physical processes in the solar corona that shape the solar wind remain an active research topic. Modeling efforts have shown that energy and plasma exchanges near the transition region plays a crucial role in modulating solar wind properties. Although these regions cannot be measured in situ, plasma parameters can be inferred from coronal spectroscopy and ionization states of heavy ions, which remain unchanged as they escape the corona. We introduce a new solar wind model extending from the chromosphere to the inner heliosphere, capturing thermodynamic coupling across atmospheric layers. By including neutral and charged particle interactions, we model the transport and ionisation processes of the gas through the transition region, the corona and into the solar wind. Instead of explicitly modeling coronal heating, we link its spatial distribution to large-scale magnetic field properties. Our results confirm that energy deposition strongly affects wind properties through key mechanisms involving chromospheric evaporation, thermal expansion, and magnetic flux expansion. For sources near active regions, the model predicts significant solar wind acceleration, with plasma outflows comparable to those inferred from coronal spectroscopy. For winds from large coronal holes, the model reproduces the observed anticorrelation between charge state and wind speed. However, the predicted charge state ratios are overall lower than observed. Inclusion of a population of energetic electrons enhances both heavy ion charge states and solar wind acceleration, improving agreement with observations.
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Submitted 7 April, 2025;
originally announced April 2025.
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European Contributions to Fermilab Accelerator Upgrades and Facilities for the DUNE Experiment
Authors:
DUNE Collaboration,
A. Abed Abud,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
F. Alemanno,
N. S. Alex,
K. Allison,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade
, et al. (1322 additional authors not shown)
Abstract:
The Proton Improvement Plan (PIP-II) to the FNAL accelerator chain and the Long-Baseline Neutrino Facility (LBNF) will provide the world's most intense neutrino beam to the Deep Underground Neutrino Experiment (DUNE) enabling a wide-ranging physics program. This document outlines the significant contributions made by European national laboratories and institutes towards realizing the first phase o…
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The Proton Improvement Plan (PIP-II) to the FNAL accelerator chain and the Long-Baseline Neutrino Facility (LBNF) will provide the world's most intense neutrino beam to the Deep Underground Neutrino Experiment (DUNE) enabling a wide-ranging physics program. This document outlines the significant contributions made by European national laboratories and institutes towards realizing the first phase of the project with a 1.2 MW neutrino beam. Construction of this first phase is well underway. For DUNE Phase II, this will be closely followed by an upgrade of the beam power to > 2 MW, for which the European groups again have a key role and which will require the continued support of the European community for machine aspects of neutrino physics. Beyond the neutrino beam aspects, LBNF is also responsible for providing unique infrastructure to install and operate the DUNE neutrino detectors at FNAL and at the Sanford Underground Research Facility (SURF). The cryostats for the first two Liquid Argon Time Projection Chamber detector modules at SURF, a contribution of CERN to LBNF, are central to the success of the ongoing execution of DUNE Phase I. Likewise, successful and timely procurement of cryostats for two additional detector modules at SURF will be critical to the success of DUNE Phase II and the overall physics program. The DUNE Collaboration is submitting four main contributions to the 2026 Update of the European Strategy for Particle Physics process. This paper is being submitted to the 'Accelerator technologies' and 'Projects and Large Experiments' streams. Additional inputs related to the DUNE science program, DUNE detector technologies and R&D, and DUNE software and computing, are also being submitted to other streams.
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Submitted 31 March, 2025;
originally announced March 2025.
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DUNE Software and Computing Research and Development
Authors:
DUNE Collaboration,
A. Abed Abud,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
F. Alemanno,
N. S. Alex,
K. Allison,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade
, et al. (1322 additional authors not shown)
Abstract:
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The ambitious physics program of Phase I and Phase II of DUNE is dependent upon deployment and utilization of significant computing res…
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The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The ambitious physics program of Phase I and Phase II of DUNE is dependent upon deployment and utilization of significant computing resources, and successful research and development of software (both infrastructure and algorithmic) in order to achieve these scientific goals. This submission discusses the computing resources projections, infrastructure support, and software development needed for DUNE during the coming decades as an input to the European Strategy for Particle Physics Update for 2026. The DUNE collaboration is submitting four main contributions to the 2026 Update of the European Strategy for Particle Physics process. This submission to the 'Computing' stream focuses on DUNE software and computing. Additional inputs related to the DUNE science program, DUNE detector technologies and R&D, and European contributions to Fermilab accelerator upgrades and facilities for the DUNE experiment, are also being submitted to other streams.
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Submitted 31 March, 2025;
originally announced March 2025.
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The DUNE Phase II Detectors
Authors:
DUNE Collaboration,
A. Abed Abud,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
F. Alemanno,
N. S. Alex,
K. Allison,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
A. Aman,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade
, et al. (1322 additional authors not shown)
Abstract:
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy for the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I and…
▽ More
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy for the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I and Phase II, as did the previous European Strategy for Particle Physics. The construction of DUNE Phase I is well underway. DUNE Phase II consists of a third and fourth far detector module, an upgraded near detector complex, and an enhanced > 2 MW beam. The fourth FD module is conceived as a 'Module of Opportunity', aimed at supporting the core DUNE science program while also expanding the physics opportunities with more advanced technologies. The DUNE collaboration is submitting four main contributions to the 2026 Update of the European Strategy for Particle Physics process. This submission to the 'Detector instrumentation' stream focuses on technologies and R&D for the DUNE Phase II detectors. Additional inputs related to the DUNE science program, DUNE software and computing, and European contributions to Fermilab accelerator upgrades and facilities for the DUNE experiment, are also being submitted to other streams.
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Submitted 29 March, 2025;
originally announced March 2025.
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Fast Two-photon Microscopy by Neuroimaging with Oblong Random Acquisition (NORA)
Authors:
Esther Whang,
Skyler Thomas,
Ji Yi,
Adam S. Charles
Abstract:
Advances in neural imaging have enabled neuroscientists to study how large neural populations conspire to produce perception, behavior and cognition. Despite many advances in optical methods, there exists a fundamental tradeoff between imaging speed, field of view, and resolution that limits the scope of neural imaging, especially for the raster-scanning multi-photon imaging needed to image deeper…
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Advances in neural imaging have enabled neuroscientists to study how large neural populations conspire to produce perception, behavior and cognition. Despite many advances in optical methods, there exists a fundamental tradeoff between imaging speed, field of view, and resolution that limits the scope of neural imaging, especially for the raster-scanning multi-photon imaging needed to image deeper into the brain. One approach to overcoming this trade-off is computational imaging: the co-development of optics designed to encode the target images into fewer measurements that are faster to acquire, with algorithms that compensate by inverting the optical coding to recover a larger or higher resolution image. We present here one such approach for raster-scanning two-photon imaging: Neuroimaging with Oblong Random Acquisition (NORA). NORA quickly acquires each frame in a microscopy video by subsampling only a fraction of the fast scanning lines, ignoring large portions of each frame. NORA mitigates the loss of information by 1) extending the point-spread function in the slow-scan direction to effectively integrate the fluorescence of several lines into a single set of measurements and 2) imaging different, randomly selected, lines at each frame. Rather than reconstruct the video frame-by-frame, NORA recovers full video sequences via nuclear-norm minimization on the pixels-by-time matrix, for which we prove theoretical guarantees on recovery. We simulated NORA imaging using the Neural Anatomy and Optical Microscopy (NAOMi) biophysical simulator, and used the simulations to demonstrate that NORA can accurately recover 400 um X 400 um fields of view at subsampling rates up to 20X, despite realistic noise and motion conditions. As NORA requires minimal changes to current microscopy systems, our results indicate that NORA can provide a promising avenue towards fast imaging of neural circuits.
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Submitted 9 June, 2025; v1 submitted 19 March, 2025;
originally announced March 2025.
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A Comparison of Calcium Sources for Ion-Trap Loading via Laser Ablation
Authors:
Daisy R H Smith,
Silpa Muralidharan,
Roland Hablutzel,
Georgina Croft,
Klara Theophilo,
Alexander Owens,
Yashna N D Lekhai,
Scott J Thomas,
Cameron Deans
Abstract:
Trapped-ion technology is a leading approach for scalable quantum computing. A key element of ion trapping is reliable loading of atomic sources into the trap. While thermal atomic ovens have traditionally been used for this purpose, laser ablation has emerged as a viable alternative in recent years, offering the advantages of faster and more localized loading with lower heat dissipation. Calcium…
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Trapped-ion technology is a leading approach for scalable quantum computing. A key element of ion trapping is reliable loading of atomic sources into the trap. While thermal atomic ovens have traditionally been used for this purpose, laser ablation has emerged as a viable alternative in recent years, offering the advantages of faster and more localized loading with lower heat dissipation. Calcium is a well-established ion for qubit applications. Here we examine a range of calcium sources for ablation and provide a comprehensive analysis of each. We consider factors such as ease of use, temperature and yield of the ablation plume, and the lifetime of ablation spots. For each target, we estimate the number of trappable atoms per ablation pulse for a typical surface and 3D ion trap.
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Submitted 13 March, 2025;
originally announced March 2025.
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Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography
Authors:
Emir Ahmed,
Spencer A. Thomas,
Ciaran Bench
Abstract:
Several studies indicate that deep learning models can learn to detect breast cancer from mammograms (X-ray images of the breasts). However, challenges with overfitting and poor generalisability prevent their routine use in the clinic. Models trained on data from one patient population may not perform well on another due to differences in their data domains, emerging due to variations in scanning…
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Several studies indicate that deep learning models can learn to detect breast cancer from mammograms (X-ray images of the breasts). However, challenges with overfitting and poor generalisability prevent their routine use in the clinic. Models trained on data from one patient population may not perform well on another due to differences in their data domains, emerging due to variations in scanning technology or patient characteristics. Data augmentation techniques can be used to improve generalisability by expanding the diversity of feature representations in the training data by altering existing examples. Image-to-image translation models are one approach capable of imposing the characteristic feature representations (i.e. style) of images from one dataset onto another. However, evaluating model performance is non-trivial, particularly in the absence of ground truths (a common reality in medical imaging). Here, we describe some key aspects that should be considered when evaluating style transfer algorithms, highlighting the advantages and disadvantages of popular metrics, and important factors to be mindful of when implementing them in practice. We consider two types of generative models: a cycle-consistent generative adversarial network (CycleGAN) and a diffusion-based SynDiff model. We learn unpaired image-to-image translation across three mammography datasets. We highlight that undesirable aspects of model performance may determine the suitability of some metrics, and also provide some analysis indicating the extent to which various metrics assess unique aspects of model performance. We emphasise the need to use several metrics for a comprehensive assessment of model performance.
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Submitted 4 February, 2025;
originally announced February 2025.
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Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Authors:
Ciaran Bench,
Emir Ahmed,
Spencer A. Thomas
Abstract:
Mammographic screening is an effective method for detecting breast cancer, facilitating early diagnosis. However, the current need to manually inspect images places a heavy burden on healthcare systems, spurring a desire for automated diagnostic protocols. Techniques based on deep neural networks have been shown effective in some studies, but their tendency to overfit leaves considerable risk for…
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Mammographic screening is an effective method for detecting breast cancer, facilitating early diagnosis. However, the current need to manually inspect images places a heavy burden on healthcare systems, spurring a desire for automated diagnostic protocols. Techniques based on deep neural networks have been shown effective in some studies, but their tendency to overfit leaves considerable risk for poor generalisation and misdiagnosis, preventing their widespread adoption in clinical settings. Data augmentation schemes based on unpaired neural style transfer models have been proposed that improve generalisability by diversifying the representations of training image features in the absence of paired training data (images of the same tissue in either image style). But these models are similarly prone to various pathologies, and evaluating their performance is challenging without ground truths/large datasets (as is often the case in medical imaging). Here, we consider two frameworks/architectures: a GAN-based cycleGAN, and the more recently developed diffusion-based SynDiff. We evaluate their performance when trained on image patches parsed from three open access mammography datasets and one non-medical image dataset. We consider the use of uncertainty quantification to assess model trustworthiness, and propose a scheme to evaluate calibration quality in unpaired training scenarios. This ultimately helps facilitate the trustworthy use of image-to-image translation models in domains where ground truths are not typically available.
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Submitted 29 January, 2025;
originally announced January 2025.
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The effect of color-coding on students' perception of learning in introductory mechanics
Authors:
Brianna S. Dillon Thomas,
Scott Carr,
Siming Guo
Abstract:
We designed three color-coding schemes to identify related information across representations and to differentiate distinct information within a representation in slide-based instruction for calculus-based introductory mechanics. We found that students had generally favorable opinions on the use of color and that the few negative criticisms are easily addressed through minor modifications to imple…
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We designed three color-coding schemes to identify related information across representations and to differentiate distinct information within a representation in slide-based instruction for calculus-based introductory mechanics. We found that students had generally favorable opinions on the use of color and that the few negative criticisms are easily addressed through minor modifications to implementation. Without having the color-coding schemes pointed out to them, a modest but consistent minority of students who found color helpful also described the color-coding schemes implemented, and about a quarter described the use of color in physics contexts as helpful even if they did not describe color-coding. We found that students particularly favored using color in mathematics and color-coding used to identify related variables, verbal definitions, and diagram elements. We additionally found that on average 40% of students found color to be helpful in matching and connecting related information or in separating and distinguishing distinct information, which were the motivating reasons for employing the color-coding schemes.
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Submitted 21 November, 2024;
originally announced November 2024.
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The track-length extension fitting algorithm for energy measurement of interacting particles in liquid argon TPCs and its performance with ProtoDUNE-SP data
Authors:
DUNE Collaboration,
A. Abed Abud,
B. Abi,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
N. S. Alex,
K. Allison,
S. Alonso Monsalve,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
H. Amar,
P. Amedo,
J. Anderson,
C. Andreopoulos
, et al. (1348 additional authors not shown)
Abstract:
This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy los…
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This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy loss as a function of the energy, including models of electron recombination and detector response. The algorithm can be used to measure the energies of particles that interact before they stop, such as charged pions that are absorbed by argon nuclei. The algorithm's energy measurement resolutions and fractional biases are presented as functions of particle kinetic energy and number of track hits using samples of stopping secondary charged pions in data collected by the ProtoDUNE-SP detector, and also in a detailed simulation. Additional studies describe the impact of the dE/dx model on energy measurement performance. The method described in this paper to characterize the energy measurement performance can be repeated in any LArTPC experiment using stopping secondary charged pions.
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Submitted 26 December, 2024; v1 submitted 26 September, 2024;
originally announced September 2024.
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DUNE Phase II: Scientific Opportunities, Detector Concepts, Technological Solutions
Authors:
DUNE Collaboration,
A. Abed Abud,
B. Abi,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
K. Allison,
S. Alonso Monsalve,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
H. Amar,
P. Amedo,
J. Anderson,
C. Andreopoulos,
M. Andreotti
, et al. (1347 additional authors not shown)
Abstract:
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I…
▽ More
The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I and Phase II, as did the European Strategy for Particle Physics. While the construction of the DUNE Phase I is well underway, this White Paper focuses on DUNE Phase II planning. DUNE Phase-II consists of a third and fourth far detector (FD) module, an upgraded near detector complex, and an enhanced 2.1 MW beam. The fourth FD module is conceived as a "Module of Opportunity", aimed at expanding the physics opportunities, in addition to supporting the core DUNE science program, with more advanced technologies. This document highlights the increased science opportunities offered by the DUNE Phase II near and far detectors, including long-baseline neutrino oscillation physics, neutrino astrophysics, and physics beyond the standard model. It describes the DUNE Phase II near and far detector technologies and detector design concepts that are currently under consideration. A summary of key R&D goals and prototyping phases needed to realize the Phase II detector technical designs is also provided. DUNE's Phase II detectors, along with the increased beam power, will complete the full scope of DUNE, enabling a multi-decadal program of groundbreaking science with neutrinos.
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Submitted 22 August, 2024;
originally announced August 2024.
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First Measurement of the Total Inelastic Cross-Section of Positively-Charged Kaons on Argon at Energies Between 5.0 and 7.5 GeV
Authors:
DUNE Collaboration,
A. Abed Abud,
B. Abi,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
F. Akbar,
K. Allison,
S. Alonso Monsalve,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
H. Amar,
P. Amedo,
J. Anderson,
C. Andreopoulos,
M. Andreotti
, et al. (1341 additional authors not shown)
Abstract:
ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a measurement of the total inelastic cross section of charged kaons on argon as a function of kaon energy using 6 and 7 GeV/$c$ beam momentum settings. The flux-weighted average of the extracted inelastic cross section at each…
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ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton liquid argon time projection chamber that operated in a hadron test beam at the CERN Neutrino Platform in 2018. We present a measurement of the total inelastic cross section of charged kaons on argon as a function of kaon energy using 6 and 7 GeV/$c$ beam momentum settings. The flux-weighted average of the extracted inelastic cross section at each beam momentum setting was measured to be 380$\pm$26 mbarns for the 6 GeV/$c$ setting and 379$\pm$35 mbarns for the 7 GeV/$c$ setting.
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Submitted 1 August, 2024;
originally announced August 2024.
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Supernova Pointing Capabilities of DUNE
Authors:
DUNE Collaboration,
A. Abed Abud,
B. Abi,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
B. Aimard,
F. Akbar,
K. Allison,
S. Alonso Monsalve,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade
, et al. (1340 additional authors not shown)
Abstract:
The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly effective method of reconstructing supernova directions within the Deep Underground Neutrino Experiment (DUNE) is introduced. The supernova neutrino pointing resolution is studied by simulating and reconstructing electr…
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The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly effective method of reconstructing supernova directions within the Deep Underground Neutrino Experiment (DUNE) is introduced. The supernova neutrino pointing resolution is studied by simulating and reconstructing electron-neutrino charged-current absorption on 40Ar and elastic scattering of neutrinos on electrons. Procedures to reconstruct individual interactions, including a newly developed technique called ``brems flipping'', as well as the burst direction from an ensemble of interactions are described. Performance of the burst direction reconstruction is evaluated for supernovae happening at a distance of 10 kpc for a specific supernova burst flux model. The pointing resolution is found to be 3.4 degrees at 68% coverage for a perfect interaction-channel classification and a fiducial mass of 40 kton, and 6.6 degrees for a 10 kton fiducial mass respectively. Assuming a 4% rate of charged-current interactions being misidentified as elastic scattering, DUNE's burst pointing resolution is found to be 4.3 degrees (8.7 degrees) at 68% coverage.
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Submitted 24 December, 2025; v1 submitted 14 July, 2024;
originally announced July 2024.
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Probing Electrical Properties of A Silicon Nanocrystal Thin Film Using X-ray Photoelectron Spectroscopy
Authors:
Amrit Laudari,
Sameera Pathiranage,
Salim A. Thomas,
Reed J. Petersen,
Kenneth J. Anderson,
Todd A. Pringle,
Erik K. Hobbie,
Nuri Oncel
Abstract:
We performed X-ray photoelectron spectroscopy (XPS) measurements on a thin film of Si nanocrystals (SiNCs) while applying DC or AC external biases to extract the resistance and the capacitance of the thin film. The measurement consists of the application of 10 V DC or square wave pulses of 10 V amplitude to the sample at various frequencies ranging from 0.01 Hz to 1 MHz while recording X-ray photo…
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We performed X-ray photoelectron spectroscopy (XPS) measurements on a thin film of Si nanocrystals (SiNCs) while applying DC or AC external biases to extract the resistance and the capacitance of the thin film. The measurement consists of the application of 10 V DC or square wave pulses of 10 V amplitude to the sample at various frequencies ranging from 0.01 Hz to 1 MHz while recording X-ray photoemission data. To analyze the data, we propose three different models with varying degrees of accuracy. The calculated capacitance of SiNCs agrees with the experimental value in the literature.
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Submitted 21 March, 2024;
originally announced March 2024.
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Performance of a modular ton-scale pixel-readout liquid argon time projection chamber
Authors:
DUNE Collaboration,
A. Abed Abud,
B. Abi,
R. Acciarri,
M. A. Acero,
M. R. Adames,
G. Adamov,
M. Adamowski,
D. Adams,
M. Adinolfi,
C. Adriano,
A. Aduszkiewicz,
J. Aguilar,
B. Aimard,
F. Akbar,
K. Allison,
S. Alonso Monsalve,
M. Alrashed,
A. Alton,
R. Alvarez,
T. Alves,
H. Amar,
P. Amedo,
J. Anderson,
D. A. Andrade
, et al. (1340 additional authors not shown)
Abstract:
The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmi…
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The Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations.
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Submitted 5 March, 2024;
originally announced March 2024.
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Two-Stage Cryogenic HEMT Based Amplifier For Low Temperature Detectors
Authors:
J. Anczarski,
M. Dubovskov,
C. W. Fink,
S. Kevane,
N. A. Kurinsky,
A. Mazumdar,
S. J. Meijer,
A. Phipps,
F. Ronning,
I. Rydstrom,
A. Simchony,
Z. Smith,
S. M. Thomas,
S. L. Watkins,
B. A. Young
Abstract:
To search for dark matter candidates with masses below $\mathcal{O}$(MeV), the SPLENDOR (Search for Particles of Light dark mattEr with Narrow-gap semiconDuctORs) experiment is developing novel narrow-bandgap semiconductors with electronic bandgaps on the order of 1-100 meV. In order to detect the charge signal produced by scattering or absorption events, SPLENDOR has designed a two-stage cryogeni…
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To search for dark matter candidates with masses below $\mathcal{O}$(MeV), the SPLENDOR (Search for Particles of Light dark mattEr with Narrow-gap semiconDuctORs) experiment is developing novel narrow-bandgap semiconductors with electronic bandgaps on the order of 1-100 meV. In order to detect the charge signal produced by scattering or absorption events, SPLENDOR has designed a two-stage cryogenic HEMT-based amplifier with an estimated charge resolution approaching the single-electron level. A low-capacitance ($\sim$1.6 pF) HEMT is used as a buffer stage at $T=10\,\mathrm{mK}$ to mitigate effects of stray capacitance at the input. The buffered signal is then amplified by a higher-capacitance ($\sim$200 pF) HEMT amplifier stage at $T=4\,\mathrm{K}$. Importantly, the design of this amplifier makes it usable with any insulating material - allowing for rapid prototyping of a variety of novel detector materials. We present the two-stage cryogenic amplifier design, preliminary voltage noise performance, and estimated charge resolution of 7.2 electrons.
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Submitted 26 January, 2024; v1 submitted 3 November, 2023;
originally announced November 2023.
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Rapid Scan White Light Two-dimensional Electronic Spectroscopy with 100 kHz Shot-to-Shot Detection
Authors:
Asha S. Thomas,
Vivek N. Bhat,
Vivek Tiwari
Abstract:
We demonstrate an approach to two-dimensional electronic spectroscopy (2DES) that combines the benefits of shot-to-shot detection at high-repetition rates with the simplicity of a broadband white light continuum input and conventional optical elements to generate phase-locked pump pulse pairs. We demonstrate this through mutual synchronization between the laser repetition rate, acousto-optical def…
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We demonstrate an approach to two-dimensional electronic spectroscopy (2DES) that combines the benefits of shot-to-shot detection at high-repetition rates with the simplicity of a broadband white light continuum input and conventional optical elements to generate phase-locked pump pulse pairs. We demonstrate this through mutual synchronization between the laser repetition rate, acousto-optical deflector (AOD), pump delay stage and the CCD line camera, which allows rapid scanning of pump optical delay synchronously with the laser repetition rate while the delay stage is moved at a constant velocity. The resulting shot-to-shot detection scheme is repetition rate scalable and only limited by the CCD line rate and the maximum stage velocity. Using this approach, we demonstrate measurement of an averaged 2DES absorptive spectrum in as much as 1.2 seconds of continuous sample exposure per 2D spectrum. We achieve a signal-to-noise ratio (SNR) of 6.8 for optical densities down to 0.05 with 11.6 seconds of averaging at 100 kHz laser repetition rate. Combining rapid scanning of mechanical delay lines with shot-to-shot detection as demonstrated here provides a viable alternative to acousto-optic pulse shaping (AOPS) approaches that is repetition-rate scalable, has comparable throughput and sensitivity, and minimizes sample exposure per 2D spectrum with promising micro-spectroscopy applications.
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Submitted 30 September, 2023;
originally announced October 2023.
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Fast, low-loss all-optical phase modulation in warm rubidium vapour
Authors:
William Davis,
Paul Burdekin,
Tabijah Wasawo,
Sarah E Thomas,
Peter J Mosley,
Joshua Nunn,
Cameron McGarry
Abstract:
Low-loss high-speed switches are an integral component of future photonic quantum technologies, with applications in state generation, multiplexing, and the implementation of quantum gates. Phase modulation is one method of achieving this switching, but existing optical phase modulators either achieve high bandwidth or low loss, but not both. We demonstrate fast ($100\,\mathrm{MHz}$ bandwidth), lo…
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Low-loss high-speed switches are an integral component of future photonic quantum technologies, with applications in state generation, multiplexing, and the implementation of quantum gates. Phase modulation is one method of achieving this switching, but existing optical phase modulators either achieve high bandwidth or low loss, but not both. We demonstrate fast ($100\,\mathrm{MHz}$ bandwidth), low-loss ($83\pm2\%$ transmission) phase shifting ($Δφ= (0.90\pm0.05)π$) in a signal field, induced by a control field, and mediated by the two-photon $5S_{1/2} \rightarrow{} 5P_{3/2} \rightarrow{} 5D_{5/2}$ transition in $^{87}\text{Rb}$ vapour. We discuss routes to enhance both performance and scalability for application to a range of quantum and classical technologies.
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Submitted 25 August, 2024; v1 submitted 8 September, 2023;
originally announced September 2023.
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Direct-write projection lithography of quantum dot micropillar single photon sources
Authors:
Petros Androvitsaneas,
Rachel N. Clark,
Matthew Jordan,
Tomas Peach,
Stuart Thomas,
Saleem Shabbir,
Angela D. Sobiesierski,
Aristotelis Trapalis,
Ian A. Farrer,
Wolfgang W. Langbein,
Anthony J. Bennett
Abstract:
We have developed a process to mass-produce quantum dot micropillar cavities using direct-write lithography. This technique allows us to achieve high volume patterning of high aspect ratio pillars with vertical, smooth sidewalls maintaining a high quality factor for diameters below 2.0 $μ$m. Encapsulating the cavities in a thin layer of oxide (Ta$_2$O$_5$) prevents oxidation in the atmosphere, pre…
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We have developed a process to mass-produce quantum dot micropillar cavities using direct-write lithography. This technique allows us to achieve high volume patterning of high aspect ratio pillars with vertical, smooth sidewalls maintaining a high quality factor for diameters below 2.0 $μ$m. Encapsulating the cavities in a thin layer of oxide (Ta$_2$O$_5$) prevents oxidation in the atmosphere, preserving the optical properties of the cavity over months of ambient exposure. We confirm that single dots in the cavities can be deterministically excited to create high purity indistinguishable single photons with interference visibility $(96.2\pm0.7)\%$.
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Submitted 31 March, 2023;
originally announced April 2023.
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1S-3S cw spectroscopy of hydrogen/deuterium atom
Authors:
Pauline Yzombard,
Simon Thomas,
Lucile Julien,
Francois Biraben,
Francois Nez
Abstract:
We study the 1S-3S two-photon transition of hydrogen in a thermal atomic beam, using a homemade cw laser source at 205 nm. The experimental method is described, leading in 2017 to the measurement of the 1S-3S transition frequency in hydrogen atom with a relative uncertainty of $9 \times 10^{-13}$. This result contributes to the "proton puzzle" resolution but is in disagreement with the ones of som…
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We study the 1S-3S two-photon transition of hydrogen in a thermal atomic beam, using a homemade cw laser source at 205 nm. The experimental method is described, leading in 2017 to the measurement of the 1S-3S transition frequency in hydrogen atom with a relative uncertainty of $9 \times 10^{-13}$. This result contributes to the "proton puzzle" resolution but is in disagreement with the ones of some others experiments. We have recently improved our setup with the aim of carrying out the same measurement in deuterium. With the improved detection system, we have observed a broadened fluorescence signal, superimposed on the narrow signal studied so far, and due to the stray accumulation of atoms in the vacuum chamber. The possible resulting systematic effect is discussed.
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Submitted 15 February, 2023;
originally announced February 2023.
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Rapid Scan White Light Pump-Probe Spectroscopy with 100 kHz Shot-to-Shot Detection
Authors:
Vivek N. Bhat,
Asha S. Thomas,
Vivek Tiwari
Abstract:
We demonstrate a femtosecond pump-probe spectrometer which utilizes a white light supercontinuum as input, and relies on mutual synchronization of acousto-optical chopper, pump-probe delay stage and the CCD camera to record shot-to-shot pump-probe spectra while the pump-probe delay is scanned synchronously with the laser repetition rate. The unique combination of technologies implemented here allo…
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We demonstrate a femtosecond pump-probe spectrometer which utilizes a white light supercontinuum as input, and relies on mutual synchronization of acousto-optical chopper, pump-probe delay stage and the CCD camera to record shot-to-shot pump-probe spectra while the pump-probe delay is scanned synchronously with the laser repetition rate. The unique combination of technologies implemented here allows for electronically controllable and repetition-rate scalable detection throughput that is only limited by the camera frame rate. Despite RMS white-light probe fluctuations of ~5.5%, fully leveraging the temporal correlations in white light and fine sampling of pump-probe delay along with 30x reduction in equivalent data collection time compared to stepwise scanning leads to reduction of RMS noise without multichannel referencing down to ~0.33 mOD for a scattering nanotube sample. This demonstration opens door for impulsive pump-probe micro-spectroscopy of scattering samples with broadband spectral coverage and minimized sample exposure.
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Submitted 26 December, 2022;
originally announced December 2022.
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A Single-Photon-compatible Telecom-C-Band Quantum Memory in a Hot Atomic Gas
Authors:
S. E. Thomas,
S. Sagona-Stophel,
Z. Schofield,
I. A. Walmsley,
P. M. Ledingham
Abstract:
The efficient storage and on-demand retrieval of quantum optical states that are compatible with the telecommunications C-band is a requirement for future terrestrial-based quantum optical networking. Spectrum in the C-band minimises optical fiber-propagation losses, and broad optical bandwidth facilitates high-speed networking protocols. Here we report on a telecommunication wavelength and bandwi…
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The efficient storage and on-demand retrieval of quantum optical states that are compatible with the telecommunications C-band is a requirement for future terrestrial-based quantum optical networking. Spectrum in the C-band minimises optical fiber-propagation losses, and broad optical bandwidth facilitates high-speed networking protocols. Here we report on a telecommunication wavelength and bandwidth compatible quantum memory. Using the Off-Resonant Cascaded Absorption protocol in hot $^{87}$Rb vapour, we demonstrate a total memory efficiency of $20.90(1)\,\%$ with a Doppler-limited storage time of $1.10(2)\,$ns. We characterise the memory performance with weak coherent states, demonstrating signal-to-noise ratios greater than unity for mean photon number inputs above $4.5(6)\times10^{-6}$ per pulse.
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Submitted 8 November, 2022;
originally announced November 2022.
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Enumerating Stable Nanopores in Graphene and their Geometrical Properties Using the Combinatorics of Hexagonal Lattices
Authors:
Sneha Thomas,
Kevin S. Silmore,
Ananth Govind Rajan
Abstract:
Nanopores in two-dimensional (2D) materials, including graphene, can be used for a variety of applications, such as gas separations, water desalination, and DNA sequencing. So far, however, all plausible isomeric shapes of graphene nanopores have not been enumerated. Instead, a probabilistic approach has been followed to predict nanopore shapes in 2D materials, due to the exponential increase in t…
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Nanopores in two-dimensional (2D) materials, including graphene, can be used for a variety of applications, such as gas separations, water desalination, and DNA sequencing. So far, however, all plausible isomeric shapes of graphene nanopores have not been enumerated. Instead, a probabilistic approach has been followed to predict nanopore shapes in 2D materials, due to the exponential increase in the number of nanopores as the size of the vacancy increases. For example, there are 12 possible isomers when N=6 atoms are removed, a number that theoretically increases to 11.7 million when N=20 atoms are removed from the graphene lattice. The development of a smaller, exhaustive dataset of stable nanopore shapes can help future experimental and theoretical studies focused on using nanoporous 2D materials in various applications. In this work, we use the theory of 2D triangular "lattice animals" to create a library of all stable graphene nanopore shapes based on a modification of a well-known algorithm in the mathematical combinatorics of polyforms known as Redelmeier's algorithm. We show that there exists a correspondence between graphene nanopores and triangular polyforms (called polyiamonds) as well as hexagonal polyforms (called polyhexes). We develop the concept of a polyiamond ID to identify unique nanopore isomers. We also use concepts from polyiamond and polyhex geometry to eliminate unstable nanopores containing dangling atoms, bonds, and moieties. The exclusion of such unstable nanopores leads to a remarkable reduction in the possible nanopores from 11.7 million for N=20 to only 0.184 million nanopores, thereby indicating that the number of stable nanopores is almost two orders of magnitude lower and is much more tractable. Not only that, by extracting the polyhex outline, our algorithm allows searching for nanopores with dimensions and shape factors in a specified range.
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Submitted 10 October, 2022;
originally announced October 2022.
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Mitigation of the Turbulence within an Arteriovenous Fistula with a Stent Implantation
Authors:
Sanjiv Gunasekera,
Tracie Barber,
Olivia Ng,
Shannon Thomas,
Ramon Varcoe,
Charitha de Silva
Abstract:
The transitional flow which initiates within the junction (anastomosis) of an arteriovenous fistula (AVF) is known to be a contributing factor in the onset of vascular disease. A novel treatment method involving the implantation of a flexible stent across the anastomosis has enabled the retention of a large proportion of functioning AVFs, despite the propensity for stent malapposition to occur at…
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The transitional flow which initiates within the junction (anastomosis) of an arteriovenous fistula (AVF) is known to be a contributing factor in the onset of vascular disease. A novel treatment method involving the implantation of a flexible stent across the anastomosis has enabled the retention of a large proportion of functioning AVFs, despite the propensity for stent malapposition to occur at the sharp inner curve of the anastomosis. Large Eddy Simulations (LES) of a patient-specific AVF with and without the presence of a stent captured oscillatory flow behaviour emanating from the interface of the two inlet flows in the stent-absent case, however, these oscillatory features were subdued in the stented case. The stent-absent case generally had higher Turbulent Kinetic Energy (TKE) in the anastomosis which led to larger cycle-to-cycle variations in wall shear stress (WSS). The significantly lower TKE generated at the heel of the stented AVF was contained within the malapposed stent, thereby resulting in lower WSS fluctuations. However, a slight increase in turbulence downstream of the malapposed stent edge was noted. This detailed study reveals a significant decrease in turbulence within the AVF in the presence of the stent, thereby, providing a level of understanding underpinning the success of the treatment strategy from a fluid dynamic perspective.
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Submitted 11 December, 2022; v1 submitted 31 July, 2022;
originally announced August 2022.
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Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes
Authors:
Edilson F. Arruda,
Tarun Sharma,
Rodrigo e A. Alexandre,
Sinnu Susan Thomas
Abstract:
Many countries have experienced at least two waves of the COVID-19 pandemic. The second wave is far more dangerous as distinct strains appear more harmful to human health, but it stems from the complacency about the first wave. This paper introduces a parsimonious yet representative stochastic epidemic model that simulates the uncertain spread of the disease regardless of the latency and recovery…
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Many countries have experienced at least two waves of the COVID-19 pandemic. The second wave is far more dangerous as distinct strains appear more harmful to human health, but it stems from the complacency about the first wave. This paper introduces a parsimonious yet representative stochastic epidemic model that simulates the uncertain spread of the disease regardless of the latency and recovery time distributions. We also propose a Markov decision process to seek an optimal trade-off between the usage of the healthcare system and the economic costs of an epidemic. We apply the model to COVID-19 data from New Delhi, India and simulate the epidemic spread with different policy review times. The results show that the optimal policy acts swiftly to curb the epidemic in the first wave, thus avoiding the collapse of the healthcare system and the future costs of posterior outbreaks. An analysis of the recent collapse of the healthcare system of India during the second COVID-19 wave suggests that many lives could have been preserved if swift mitigation was promoted after the first wave.
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Submitted 23 June, 2022;
originally announced June 2022.
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First High-speed Video Camera Observations of a Lightning Flash Associated with a Downward Terrestrial Gamma-ray Flash
Authors:
R. U. Abbasi,
M. M. F. Saba,
J. W. Belz,
P. R. Krehbiel,
W. Rison,
N. Kieu,
D. R. da Silva,
Dan Rodeheffer,
M. A. Stanley,
J. Remington,
J. Mazich,
R. LeVon,
K. Smout,
A. Petrizze,
T. Abu-Zayyad,
M. Allen,
Y. Arai,
R. Arimura,
E. Barcikowski,
D. R. Bergman,
S. A. Blake,
I. Buckland,
B. G. Cheon,
M. Chikawa,
T. Fujii
, et al. (127 additional authors not shown)
Abstract:
In this paper, we present the first high-speed video observation of a cloud-to-ground lightning flash and its associated downward-directed Terrestrial Gamma-ray Flash (TGF). The optical emission of the event was observed by a high-speed video camera running at 40,000 frames per second in conjunction with the Telescope Array Surface Detector, Lightning Mapping Array, interferometer, electric-field…
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In this paper, we present the first high-speed video observation of a cloud-to-ground lightning flash and its associated downward-directed Terrestrial Gamma-ray Flash (TGF). The optical emission of the event was observed by a high-speed video camera running at 40,000 frames per second in conjunction with the Telescope Array Surface Detector, Lightning Mapping Array, interferometer, electric-field fast antenna, and the National Lightning Detection Network. The cloud-to-ground flash associated with the observed TGF was formed by a fast downward leader followed by a very intense return stroke peak current of -154 kA. The TGF occurred while the downward leader was below cloud base, and even when it was halfway in its propagation to ground. The suite of gamma-ray and lightning instruments, timing resolution, and source proximity offer us detailed information and therefore a unique look at the TGF phenomena.
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Submitted 9 August, 2023; v1 submitted 10 May, 2022;
originally announced May 2022.
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Quantifying n-photon indistinguishability with a cyclic integrated interferometer
Authors:
Mathias Pont,
Riccardo Albiero,
Sarah E. Thomas,
Nicolò Spagnolo,
Francesco Ceccarelli,
Giacomo Corrielli,
Alexandre Brieussel,
Niccolo Somaschi,
Hêlio Huet,
Abdelmounaim Harouri,
Aristide Lemaître,
Isabelle Sagnes,
Nadia Belabas,
Fabio Sciarrino,
Roberto Osellame,
Pascale Senellart,
Andrea Crespi
Abstract:
We report on a universal method to measure the genuine indistinguishability of n-photons - a crucial parameter that determines the accuracy of optical quantum computing. Our approach relies on a low-depth cyclic multiport interferometer with N = 2n modes, leading to a quantum interference fringe whose visibility is a direct measurement of the genuine n-photon indistinguishability. We experimentall…
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We report on a universal method to measure the genuine indistinguishability of n-photons - a crucial parameter that determines the accuracy of optical quantum computing. Our approach relies on a low-depth cyclic multiport interferometer with N = 2n modes, leading to a quantum interference fringe whose visibility is a direct measurement of the genuine n-photon indistinguishability. We experimentally demonstrate this technique for a 8-mode integrated interferometer fabricated using femtosecond laser micromachining and four photons from a quantum dot single-photon source. We measure a four-photon indistinguishability up to 0.81$\pm$0.03. This value decreases as we intentionally alter the photon pairwise indistinguishability. The low-depth and low-loss multiport interferometer design provides an efficient and scalable path to evaluate the genuine indistinguishability of resource states of increasing photon number.
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Submitted 31 January, 2022;
originally announced January 2022.
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Observation of Variations in Cosmic Ray Single Count Rates During Thunderstorms and Implications for Large-Scale Electric Field Changes
Authors:
R. U. Abbasi,
T. Abu-Zayyad,
M. Allen,
Y. Arai,
R. Arimura,
E. Barcikowski,
J. W. Belz,
D. R. Bergman,
S. A. Blake,
I. Buckland,
R. Cady,
B. G. Cheon,
J. Chiba,
M. Chikawa,
T. Fujii,
K. Fujisue,
K. Fujita,
R. Fujiwara,
M. Fukushima,
R. Fukushima,
G. Furlich,
N. Globus,
R. Gonzalez,
W. Hanlon,
M. Hayashi
, et al. (140 additional authors not shown)
Abstract:
We present the first observation by the Telescope Array Surface Detector (TASD) of the effect of thunderstorms on the development of cosmic ray single count rate intensity over a 700 km$^{2}$ area. Observations of variations in the secondary low-energy cosmic ray counting rate, using the TASD, allow us to study the electric field inside thunderstorms, on a large scale, as it progresses on top of t…
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We present the first observation by the Telescope Array Surface Detector (TASD) of the effect of thunderstorms on the development of cosmic ray single count rate intensity over a 700 km$^{2}$ area. Observations of variations in the secondary low-energy cosmic ray counting rate, using the TASD, allow us to study the electric field inside thunderstorms, on a large scale, as it progresses on top of the 700 km$^{2}$ detector, without dealing with the limitation of narrow exposure in time and space using balloons and aircraft detectors. In this work, variations in the cosmic ray intensity (single count rate) using the TASD, were studied and found to be on average at the $\sim(0.5-1)\%$ and up to 2\% level. These observations were found to be both in excess and in deficit. They were also found to be correlated with lightning in addition to thunderstorms. These variations lasted for tens of minutes; their footprint on the ground ranged from 6 to 24 km in diameter and moved in the same direction as the thunderstorm. With the use of simple electric field models inside the cloud and between cloud to ground, the observed variations in the cosmic ray single count rate were recreated using CORSIKA simulations. Depending on the electric field model used and the direction of the electric field in that model, the electric field magnitude that reproduces the observed low-energy cosmic ray single count rate variations was found to be approximately between 0.2-0.4 GV. This in turn allows us to get a reasonable insight on the electric field and its effect on cosmic ray air showers inside thunderstorms.
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Submitted 18 November, 2021;
originally announced November 2021.
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Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes
Authors:
Celia Martin Vicario,
Florian Kordon,
Felix Denzinger,
Jan Siad El Barbari,
Maxim Privalov,
Jochen Franke,
Sarina Thomas,
Lisa Kausch,
Andreas Maier,
Holger Kunze
Abstract:
Purpose
3D acquisitions are often acquired to assess the result in orthopedic trauma surgery. With a mobile C-Arm system, these acquisitions can be performed intra-operatively. That reduces the number of required revision surgeries. However, due to the operation room setup, the acquisitions typically cannot be performed such that the acquired volumes are aligned to the anatomical regions. Thus,…
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Purpose
3D acquisitions are often acquired to assess the result in orthopedic trauma surgery. With a mobile C-Arm system, these acquisitions can be performed intra-operatively. That reduces the number of required revision surgeries. However, due to the operation room setup, the acquisitions typically cannot be performed such that the acquired volumes are aligned to the anatomical regions. Thus, the multiplanar reconstructed (MPR) planes need to be adjusted manually during the review of the volume. In this paper, we present a detailed study of multi-task learning (MTL) regression networks to estimate the parameters of the MPR planes.
Approach
First, various mathematical descriptions for rotation, including Euler angle, quaternion, and matrix representation, are revised. Then, three different MTL network architectures based on the PoseNet are compared with a single task learning network.
Results
Using a matrix description rather than the Euler angle description, the accuracy of the regressed normals improves from $7.7^{\circ}$ to $7.3^{\circ}$ in the mean value for single anatomies. The multi-head approach improves the regression of the plane position from $7.4mm$ to $6.1mm$, while the orientation does not benefit from this approach.
Conclusions
The results show that a multi-head approach can lead to slightly better results than the individual tasks networks. The most important benefit of the MTL approach is that it is a single network for standard plane regression for all body regions with a reduced number of stored parameters.
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Submitted 15 September, 2021;
originally announced September 2021.
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Electrodeposited WS$_2$ Monolayers on Fabricated Graphene Electrodes
Authors:
Yasir J Noori,
Shibin Thomas,
Sami Ramadan,
Victoria K. Greenacre,
Nema M. Abdelazim,
Yisong Han,
Jiapei Zhang,
Richard Beanland,
Andrew L. Hector,
Norbert Klein,
Gillian Reid,
Philip Bartlett,
Cornelis H. de Groot
Abstract:
The development of scalable techniques to make 2D material heterostructures is a major obstacle that needs to be overcome before these materials can be implemented in device technologies industrially. Electrodeposition is an industrially compatible deposition technique that offers unique advantages in scaling 2D heterostructures. In this work, we demonstrate the electrodeposition of atomic layers…
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The development of scalable techniques to make 2D material heterostructures is a major obstacle that needs to be overcome before these materials can be implemented in device technologies industrially. Electrodeposition is an industrially compatible deposition technique that offers unique advantages in scaling 2D heterostructures. In this work, we demonstrate the electrodeposition of atomic layers of WS$_2$ over graphene electrodes using a single source precursor. Using conventional microfabrication techniques, graphene was patterned to create micro-electrodes where WS$_2$ was site-selectively deposited to form 2D heterostructures. We used various characterisation techniques, including atomic force microscopy, transmission electron microscopy, Raman spectroscopy and x-ray photoelectron spectroscopy to show that our electrodeposited WS$_2$ layers are highly uniform and can be grown over graphene at a controllable deposition rate. This technique to selectively deposit TMDCs over microfabricated graphene electrodes paves the way towards wafer-scale production of 2D material heterostructures for nanodevice applications.
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Submitted 31 August, 2021;
originally announced September 2021.
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Complex Ground-State and Excitation Energies in Coupled-Cluster Theory
Authors:
Simon Thomas,
Florian Hampe,
Stella Stopkowicz,
Jürgen Gauss
Abstract:
Since in coupled-cluster (CC) theory ground-state and excitation energies are eigenvalues of a non-Hermitian matrix, these energies can in principle take on complex values. In this paper we discuss the appearance of complex energy values in CC calculations from a mathematical perspective. We analyze the behaviour of the eigenvalues of Hermitian matrices that are perturbed (in a non-Hermitian manne…
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Since in coupled-cluster (CC) theory ground-state and excitation energies are eigenvalues of a non-Hermitian matrix, these energies can in principle take on complex values. In this paper we discuss the appearance of complex energy values in CC calculations from a mathematical perspective. We analyze the behaviour of the eigenvalues of Hermitian matrices that are perturbed (in a non-Hermitian manner) by a real parameter. Based on these results we show that for CC calculations with real-valued Hamiltonian matrices the ground-state energy generally takes a real value. Furthermore, we show that in the case of real-valued Hamiltonian matrices complex excitation energies only occur in the context of conical intersections. In such a case, unphysical consequences are encountered such as a wrong dimension of the intersection seam, large numerical deviations from full configuration-interaction (FCI) results, and the square-root-like behaviour of the potential surfaces near the conical intersection. In the case of CC calculations with complex-valued Hamiltonian matrix elements, it turns out that complex energy values are to be expected for ground and excited states when no symmetry is present. We confirm the occurrence of complex energies by sample calculations using a six-state model and by CC calculations for the H2O molecule in a strong magnetic field. We furthermore show that symmetry can prevent the occurrence of complex energy values. Lastly, we demonstrate that in most cases the real part of the complex energy values provides a very good approximation to the FCI energy.
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Submitted 7 June, 2021;
originally announced June 2021.
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Lateral electrodeposition of MoS2 semiconductor over an insulator
Authors:
Nema Abdelazim,
Yasir J Noori,
Shibin Thomas,
Victoria K Greenacre,
Yisong Han,
Danielle E. Smith,
Giacomo Piana,
Nikolay Zhelev,
Andrew L. Hector,
Richard Beanland,
Gillian Reid,
Philip N Bartlett,
Kees de Groot
Abstract:
Developing novel techniques for depositing transition metal dichalcogenides is crucial for the industrial adoption of 2D materials in optoelectronics. In this work, the lateral growth of molybdenum disulfide (MoS2) over an insulating surface is demonstrated using electrochemical deposition. By fabricating a new type of microelectrodes, MoS2 2D films grown from TiN electrodes across opposite sides…
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Developing novel techniques for depositing transition metal dichalcogenides is crucial for the industrial adoption of 2D materials in optoelectronics. In this work, the lateral growth of molybdenum disulfide (MoS2) over an insulating surface is demonstrated using electrochemical deposition. By fabricating a new type of microelectrodes, MoS2 2D films grown from TiN electrodes across opposite sides have been connected over an insulating substrate, hence, forming a lateral device structure through only one lithography and deposition step. Using a variety of characterization techniques, the growth rate of MoS2 has been shown to be highly anisotropic with lateral to vertical growth ratios exceeding 20-fold. Electronic and photo-response measurements on the device structures demonstrate that the electrodeposited MoS2 layers behave like semiconductors, confirming their potential for photodetection applications. This lateral growth technique paves the way towards room temperature, scalable and site-selective production of various transition metal dichalcogenides and their lateral heterostructures for 2D materials-based fabricated devices.
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Submitted 26 November, 2021; v1 submitted 1 April, 2021;
originally announced April 2021.
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Surface detectors of the TAx4 experiment
Authors:
Telescope Array Collaboration,
R. U. Abbasi,
M. Abe,
T. Abu-Zayyad,
M. Allen,
Y. Arai,
E. Barcikowski,
J. W. Belz,
D. R. Bergman,
S. A. Blake,
R. Cady,
B. G. Cheon,
J. Chiba,
M. Chikawa,
T. Fujii,
K. Fujisue,
K. Fujita,
R. Fujiwara,
M. Fukushima,
R. Fukushima,
G. Furlich,
W. Hanlon,
M. Hayashi,
N. Hayashida,
K. Hibino
, et al. (124 additional authors not shown)
Abstract:
Telescope Array (TA) is the largest ultrahigh energy cosmic-ray (UHECR) observatory in the Northern Hemisphere. It explores the origin of UHECRs by measuring their energy spectrum, arrival-direction distribution, and mass composition using a surface detector (SD) array covering approximately 700 km$^2$ and fluorescence detector (FD) stations. TA has found evidence for a cluster of cosmic rays with…
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Telescope Array (TA) is the largest ultrahigh energy cosmic-ray (UHECR) observatory in the Northern Hemisphere. It explores the origin of UHECRs by measuring their energy spectrum, arrival-direction distribution, and mass composition using a surface detector (SD) array covering approximately 700 km$^2$ and fluorescence detector (FD) stations. TA has found evidence for a cluster of cosmic rays with energies greater than 57 EeV. In order to confirm this evidence with more data, it is necessary to increase the data collection rate.We have begun building an expansion of TA that we call TAx4. In this paper, we explain the motivation, design, technical features, and expected performance of the TAx4 SD. We also present TAx4's current status and examples of the data that have already been collected.
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Submitted 1 March, 2021;
originally announced March 2021.
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Observations of the Origin of Downward Terrestrial Gamma-Ray Flashes
Authors:
J. W. Belz,
P. R. Krehbiel,
J. Remington,
M. A. Stanley,
R. U. Abbasi,
R. LeVon,
W. Rison,
D. Rodeheffer,
the Telescope Array Scientific Collaboration,
:,
T. Abu-Zayyad,
M. Allen,
E. Barcikowski,
D. R. Bergman,
S. A. Blake,
M. Byrne,
R. Cady,
B. G. Cheon,
M. Chikawa,
A. di Matteo,
T. Fujii,
K. Fujita,
R. Fujiwara,
M. Fukushima,
G. Furlich
, et al. (116 additional authors not shown)
Abstract:
In this paper we report the first close, high-resolution observations of downward-directed terrestrial gamma-ray flashes (TGFs) detected by the large-area Telescope Array cosmic ray observatory, obtained in conjunction with broadband VHF interferometer and fast electric field change measurements of the parent discharge. The results show that the TGFs occur during strong initial breakdown pulses (I…
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In this paper we report the first close, high-resolution observations of downward-directed terrestrial gamma-ray flashes (TGFs) detected by the large-area Telescope Array cosmic ray observatory, obtained in conjunction with broadband VHF interferometer and fast electric field change measurements of the parent discharge. The results show that the TGFs occur during strong initial breakdown pulses (IBPs) in the first few milliseconds of negative cloud-to-ground and low-altitude intracloud flashes, and that the IBPs are produced by a newly-identified streamer-based discharge process called fast negative breakdown. The observations indicate the relativistic runaway electron avalanches (RREAs) responsible for producing the TGFs are initiated by embedded spark-like transient conducting events (TCEs) within the fast streamer system, and potentially also by individual fast streamers themselves. The TCEs are inferred to be the cause of impulsive sub-pulses that are characteristic features of classic IBP sferics. Additional development of the avalanches would be facilitated by the enhanced electric field ahead of the advancing front of the fast negative breakdown. In addition to showing the nature of IBPs and their enigmatic sub-pulses, the observations also provide a possible explanation for the unsolved question of how the streamer to leader transition occurs during the initial negative breakdown, namely as a result of strong currents flowing in the final stage of successive IBPs, extending backward through both the IBP itself and the negative streamer breakdown preceding the IBP.
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Submitted 12 October, 2020; v1 submitted 29 September, 2020;
originally announced September 2020.
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Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
Authors:
Celia Martín Vicario,
Florian Kordon,
Felix Denzinger,
Markus Weiten,
Sarina Thomas,
Lisa Kausch,
Jochen Franke,
Holger Keil,
Andreas Maier,
Holger Kunze
Abstract:
Flat panel computed tomography is used intraoperatively to assess the result of surgery. Due to workflow issues, the acquisition typically cannot be carried out in such a way that the axis aligned multiplanar reconstructions (MPR) of the volume match the anatomically aligned MPRs. This needs to be performed manually, adding additional effort during viewing the datasets. A PoseNet convolutional neu…
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Flat panel computed tomography is used intraoperatively to assess the result of surgery. Due to workflow issues, the acquisition typically cannot be carried out in such a way that the axis aligned multiplanar reconstructions (MPR) of the volume match the anatomically aligned MPRs. This needs to be performed manually, adding additional effort during viewing the datasets. A PoseNet convolutional neural network (CNN) is trained such that parameters of anatomically aligned MPR planes are regressed. Different mathematical approaches to describe plane rotation are compared, as well as a cost function is optimized to incorporate orientation constraints. The CNN is evaluated on two anatomical regions. For one of these regions, one plane is not orthogonal to the other two planes. The plane's normal can be estimated with a median accuracy of 5°, the in-plane rotation with an accuracy of 6°, and the position with an accuracy of 6 mm. Compared to state-of-the-art algorithms the labeling effort for this method is much lower as no segmentation is required. The computation time during inference is less than 0.05 s.
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Submitted 7 July, 2020;
originally announced July 2020.