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A scalable infrastructure for strontium optical clocks with integrated photonics
Authors:
Zheng Luo,
Travis C. Briles,
Zachary L. Newman,
Aidan R. Jones,
Andrew R. Ferdinand,
Sindhu Jammi,
Grisha Spektor,
David R. Carlson,
Akash Rakholia,
Dan Sheredy,
Parth Patel,
Martin M. Boyd,
Chad Ropp,
Daron Westly,
Vladimir A. Aksyuk,
Wenqi Zhu,
Junyeob Song,
Amit Agrawal,
Scott B. Papp
Abstract:
Optical atomic clocks provide exceptionally accurate and precise signals for timekeeping and precision measurements, but they require high-power, free-space laser configurations that limit scalability. We introduce and explore a scalable infrastructure for strontium (Sr) optical-lattice clocks that incorporates co-design of atomic-beam slowing and a magneto-optical trap (MOT) from an effusion sour…
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Optical atomic clocks provide exceptionally accurate and precise signals for timekeeping and precision measurements, but they require high-power, free-space laser configurations that limit scalability. We introduce and explore a scalable infrastructure for strontium (Sr) optical-lattice clocks that incorporates co-design of atomic-beam slowing and a magneto-optical trap (MOT) from an effusion source, generation of complex, three-dimensional free-space laser configurations with a photonic integrated circuit (PIC) and metasurface (MS) optics, and laser stabilization to a frequency-comb supercontinuum generated with integrated nonlinear photonics. With these elements, we realize MOTs of all stable strontium isotopes ($^{84}$Sr, $^{86}$Sr, $^{87}$Sr, $^{88}$Sr) with populations commensurate with natural abundances, demonstrating precise beam control and robustness. Access to laser-cooled alkaline-earth atoms with scalable integrated photonics enables system engineering for optical clocks, quantum sensing, and quantum information, and our experiments demonstrate extensible technologies that advance toward a Sr optical clock largely free of bulk optics.
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Submitted 3 April, 2026;
originally announced April 2026.
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Performance of a SuperCDMS HVeV Detector with Sub-eV Energy Resolution and Single Charge-sensitivity
Authors:
Kyle Kennard,
Aditi Pradeep,
Mason Buchanan,
Hope Fu,
Aviv Simchony,
Qihua Wang,
Emanuele Michielin,
Taylor Aralis,
Elspeth Cudmore,
Priscilla Cushman,
Miriam Diamond,
Enectali Figueroa-Feliciano,
Caleb Fink,
Simon Harms,
Bruce A. Hines,
Ziqing Hong,
Martin E. Huber,
Andrew Kubik,
Noah Kurinsky,
Rupak Mahapatra,
Valentina Novati,
Lekhraj Pandey,
Pratyush K. Patel,
Weigeng Peng,
Mark Platt
, et al. (19 additional authors not shown)
Abstract:
We present a detailed characterization of a new generation of athermal-phonon single-charge sensitive Si HVeV detectors, the best of which achieved 612 meV $\pm$ 4 meV baseline resolution. Our sub-eV energy resolution enables precise measurements of single-photon events and reveal consistent energy losses of 0.81 eV $\pm$ 0.03 eV per charge excitation across two facilities. We demonstrate that the…
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We present a detailed characterization of a new generation of athermal-phonon single-charge sensitive Si HVeV detectors, the best of which achieved 612 meV $\pm$ 4 meV baseline resolution. Our sub-eV energy resolution enables precise measurements of single-photon events and reveal consistent energy losses of 0.81 eV $\pm$ 0.03 eV per charge excitation across two facilities. We demonstrate that the noise for these detectors is well described using a standard Transition Edge Sensor noise model. We also place upper bounds on the nominal phonon collection efficiency of 45\%, establishing these detectors as the most efficient athermal phonon detectors to date, limited only by intrinsic limitations of quasiparticle generation.
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Submitted 22 January, 2026;
originally announced January 2026.
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Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
Authors:
Mojtaba Safari,
Shansong Wang,
Vanessa L Wildman,
Mingzhe Hu,
Zach Eidex,
Chih-Wei Chang,
Erik H Middlebrooks,
Richard L. J Qiu,
Pretesh Patel,
Ashesh B. Jani,
Hui Mao,
Zhen Tian,
Xiaofeng Yang
Abstract:
Background: High-resolution MRI is critical for diagnosis, but long acquisition times limit clinical use. Super-resolution (SR) can enhance resolution post-scan, yet existing deep learning methods face fidelity-efficiency trade-offs. Purpose: To develop a computationally efficient and accurate deep learning framework for MRI SR that preserves anatomical detail for clinical integration. Materials a…
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Background: High-resolution MRI is critical for diagnosis, but long acquisition times limit clinical use. Super-resolution (SR) can enhance resolution post-scan, yet existing deep learning methods face fidelity-efficiency trade-offs. Purpose: To develop a computationally efficient and accurate deep learning framework for MRI SR that preserves anatomical detail for clinical integration. Materials and Methods: We propose a novel SR framework combining multi-head selective state-space models (MHSSM) with a lightweight channel MLP. The model uses 2D patch extraction with hybrid scanning to capture long-range dependencies. Each MambaFormer block integrates MHSSM, depthwise convolutions, and gated channel mixing. Evaluation used 7T brain T1 MP2RAGE maps (n=142) and 1.5T prostate T2w MRI (n=334). Comparisons included Bicubic interpolation, GANs (CycleGAN, Pix2pix, SPSR), transformers (SwinIR), Mamba (MambaIR), and diffusion models (I2SB, Res-SRDiff). Results: Our model achieved superior performance with exceptional efficiency. For 7T brain data: SSIM=0.951+-0.021, PSNR=26.90+-1.41 dB, LPIPS=0.076+-0.022, GMSD=0.083+-0.017, significantly outperforming all baselines (p<0.001). For prostate data: SSIM=0.770+-0.049, PSNR=27.15+-2.19 dB, LPIPS=0.190+-0.095, GMSD=0.087+-0.013. The framework used only 0.9M parameters and 57 GFLOPs, reducing parameters by 99.8% and computation by 97.5% versus Res-SRDiff, while outperforming SwinIR and MambaIR in accuracy and efficiency. Conclusion: The proposed framework provides an efficient, accurate MRI SR solution, delivering enhanced anatomical detail across datasets. Its low computational demand and state-of-the-art performance show strong potential for clinical translation.
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Submitted 7 March, 2026; v1 submitted 22 December, 2025;
originally announced December 2025.
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Intertwined Hyperferroelectricity, Tunable Multiple Topological Phases and Giant Rashba Effect in Wurtzite LiZnAs
Authors:
Saurav Patel,
Paras Patel,
Shaohui Qiu,
Prafulla K. Jha
Abstract:
Composite quantum compounds offer a fertile ground for uncovering the complex interrelations between seemingly distinct phenomena in condensed matter physics for advanced nonvolatile and spintronics applications. Beyond topological superconductors and axion insulators, the idea of intertwined Hyperferroelectricity (HyFE), multiple topological phases and Rashba spin-splitting with reversible spin t…
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Composite quantum compounds offer a fertile ground for uncovering the complex interrelations between seemingly distinct phenomena in condensed matter physics for advanced nonvolatile and spintronics applications. Beyond topological superconductors and axion insulators, the idea of intertwined Hyperferroelectricity (HyFE), multiple topological phases and Rashba spin-splitting with reversible spin textures represents the local, global and symmetry-driven characteristics of quantum materials, respectively, offering unique pathways for enhanced functionalities. We unveiled a unified framework to achieve this synergy through the presence of crystalline symmetries and spin-orbit coupling in LiZnAs compound using first-principles calculations. HyFE exhibits ability to maintain spontaneous polarization under open-circuit boundary conditions, even with existence of depolarization field while Rashba effect exhibits paradigmatic spin texture in momentum space with tangential vector field. The presence of unstable $A_{2u}(LO)$ mode leads to free energy minimum with significant well depth and polarization of -66 meV and $P_{HyFE} = 0.282~C/m^2$, respectively indicating stable HyFE. The robust HyFE stem from mode-specific effective charges and larger high-frequency dielectric constants. This study also addresses the subtle question of whether critical point of topological phase transition shifts in response to drastically different Rashba spin-splitting values obtained from VASP and WIEN2k. Moreover, biaxial strain (BAS) induced Weyl semimetal (at 3.4% BAS) and topological insulating phase (after 3.4% BAS) is observed with giant Rashba coefficient of 5.91 eV Å and 2.42 eV Å, respectively. Furthermore, switching of bulk polarization leads to spin texture reversal, providing a robust mechanism to leverage spin degrees of freedom in these Hyperferroelectric Rashba topological materials.
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Submitted 3 November, 2025;
originally announced November 2025.
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Geometric scaling of laser-driven proton focusing from hemispherical foils
Authors:
Jesse Griff-McMahon,
Xavier Vaisseau,
William Fox,
Kirill Lezhnin,
Krish Bhutwala,
Ryan Nedbailo,
Valeria Opsina-Bohórquez,
Timo Karpowski,
Pravesh K. Patel,
Sophia Malko
Abstract:
We systematically characterize the focusing behavior of laser-driven proton beams from hemispherical targets of various diameters using mesh radiography. The proton focal location is inferred to be near the geometrical center for the smallest tested hemisphere ($Ψ=D_{hemi}/D_{Laser}=6.1$). However, larger hemispheres ($Ψ=14.6$) degrade the focusing behavior and behave more like flat foils with foc…
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We systematically characterize the focusing behavior of laser-driven proton beams from hemispherical targets of various diameters using mesh radiography. The proton focal location is inferred to be near the geometrical center for the smallest tested hemisphere ($Ψ=D_{hemi}/D_{Laser}=6.1$). However, larger hemispheres ($Ψ=14.6$) degrade the focusing behavior and behave more like flat foils with focal location significantly inside the hemisphere. We also infer a tight virtual focus of $9\pm3~μ$m through a mesh transition analysis.
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Submitted 21 October, 2025; v1 submitted 16 October, 2025;
originally announced October 2025.
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A failure mode dependent continuum damage model for laminated composites with optimized model parameters : Application to curved beams
Authors:
Shubham Rai,
Badri Prasad Patel
Abstract:
In this article, a failure mode dependent and thermodynamically consistent continuum damage model with polynomial-based damage hardening functions is proposed for continuum damage modeling of laminated composite panels. The damage model parameters are characterized based on all uniaxial/shear experimental stress-strain curves. Steepest descent optimization algorithm is used to minimize the differe…
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In this article, a failure mode dependent and thermodynamically consistent continuum damage model with polynomial-based damage hardening functions is proposed for continuum damage modeling of laminated composite panels. The damage model parameters are characterized based on all uniaxial/shear experimental stress-strain curves. Steepest descent optimization algorithm is used to minimize the difference between model predicted and experimental stress-strain curves to get the optimzed model parameters. The fully characterized damage evolution equations are used for damage prediction of a moderately thick laminated composite curved beam modeled using first-order shear deformation theory. Finite element method with load control is used to get the non-linear algebraic equations which are solved using Newton Raphson method. The developed model is compared with the existing failure mode dependent and failure mode independent damage models. The results depict the efficacy of the proposed model to capture non-linearity in the load vs deflection curve due to stiffness degradation and different damage in tension andcompression consistent with uniaxial/shear stress-strain response and strength properties of the material, respectively.
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Submitted 23 September, 2025;
originally announced September 2025.
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Fermilab PIP-II CDS and CM Cryogenic Controls System
Authors:
Pratik Patel,
Ram Dhuley,
Ahmed Faraj,
Alexander Martinez,
Vrushank Patel,
William Soyars,
Sungwoon Yoon
Abstract:
Details on Final design for Cryogenic Electrical & Controls System for Fermilab' s next-gen particle accelerator PIP-II. Electrical Controls System includes instrumentation and controls of Cryogenics Distribution System and Cryomodules. Design includes Siemens PCS7 Controls System with 26 Remote IO Rittal Cabinets and 48 Relay Racks for Temperature Readouts, Valve Positioners, Level, Heater Contro…
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Details on Final design for Cryogenic Electrical & Controls System for Fermilab' s next-gen particle accelerator PIP-II. Electrical Controls System includes instrumentation and controls of Cryogenics Distribution System and Cryomodules. Design includes Siemens PCS7 Controls System with 26 Remote IO Rittal Cabinets and 48 Relay Racks for Temperature Readouts, Valve Positioners, Level, Heater Controls etc. Electrical Drawings and Design have been completed with focus now on fabrication of the 26 Rittal Cabinets and 48 Relay Racks. All materials have been procured. EPICS will be used as a SCADA system communicating to S7 Controllers via OPC UA.
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Submitted 18 September, 2025;
originally announced September 2025.
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Search for low-mass electron-recoil dark matter using a single-charge sensitive SuperCDMS-HVeV Detector
Authors:
SuperCDMS Collaboration,
M. F. Albakry,
I. Alkhatib,
D. Alonso-González,
J. Anczarski,
T. Aralis,
T. Aramaki,
I. Ataee Langroudy,
C. Bathurst,
R. Bhattacharyya,
A. J. Biffl,
P. L. Brink,
M. Buchanan,
R. Bunker,
B. Cabrera,
R. Calkins,
R. A. Cameron,
C. Cartaro,
D. G. Cerdeño,
Y. -Y. Chang,
M. Chaudhuri,
J. -H. Chen,
R. Chen,
N. Chott,
J. Cooley
, et al. (124 additional authors not shown)
Abstract:
We present constraints on low-mass dark matter electron scattering and absorption interactions using a SuperCDMS high-voltage eV-resolution (HVeV) detector. Data were taken underground in the NEXUS facility located at Fermilab with an overburden of 225 meters of water equivalent. The experiment benefits from the minimizing of luminescence from the printed circuit boards in the detector holder used…
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We present constraints on low-mass dark matter electron scattering and absorption interactions using a SuperCDMS high-voltage eV-resolution (HVeV) detector. Data were taken underground in the NEXUS facility located at Fermilab with an overburden of 225 meters of water equivalent. The experiment benefits from the minimizing of luminescence from the printed circuit boards in the detector holder used in all previous HVeV studies. A blind analysis of $6.1\,\mathrm{g\cdot days}$ of exposure produces exclusion limits for dark matter-electron scattering cross sections for masses as low as $1\,\mathrm{MeV}/c^2$, as well as on the photon-dark photon mixing parameter and the coupling constant between axionlike particles and electrons for particles with masses $>1.2\,\mathrm{eV}/c^2$ probed via absorption processes.
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Submitted 15 March, 2026; v1 submitted 3 September, 2025;
originally announced September 2025.
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Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning
Authors:
M. F. Albakry,
I. Alkhatib,
D. Alonso-Gonzalez,
J. Anczarski,
T. Aralis,
T. Aramaki,
I. Ataee Langroudy,
C. Bathurst,
R. Bhattacharyya,
A. J. Biff,
P. L. Brink,
M. Buchanan,
R. Bunker,
B. Cabrera,
R. Calkins,
R. A. Cameron,
C. Cartaro,
D. G. Cerdeno,
Y. -Y. Chang,
M. Chaudhuri,
J. H. Chen,
R. Chen,
N. Chott,
J. Cooley,
H. Coombes
, et al. (117 additional authors not shown)
Abstract:
SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom faces of a large crystal substrate, with the TESs electrically grouped into six phonon readout channels per face. Noise correlations are expected among a detector's readout channels, in part because the channels and their r…
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SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom faces of a large crystal substrate, with the TESs electrically grouped into six phonon readout channels per face. Noise correlations are expected among a detector's readout channels, in part because the channels and their readout electronics are located in close proximity to one another. Moreover, owing to the large size of the detectors, energy deposits can produce vastly different phonon propagation patterns depending on their location in the substrate, resulting in a strong position dependence in the readout-channel pulse shapes. Both of these effects can degrade the energy resolution and consequently diminish the dark matter search sensitivity of the experiment if not accounted for properly. We present a new algorithm for pulse reconstruction, mathematically formulated to take into account correlated noise and pulse shape variations. This new algorithm fits N readout channels with a superposition of M pulse templates simultaneously - hence termed the N$\times$M filter. We describe a method to derive the pulse templates using principal component analysis (PCA) and to extract energy and position information using a gradient boosted decision tree (GBDT). We show that these new N$\times$M and GBDT analysis tools can reduce the impact from correlated noise sources while improving the reconstructed energy resolution for simulated mono-energetic events by more than a factor of three and for the 71Ge K-shell electron-capture peak recoils measured in a previous version of SuperCDMS called CDMSlite to $<$ 50 eV from the previously published value of $\sim$100 eV. These results lay the groundwork for position reconstruction in SuperCDMS with the N$\times$M outputs.
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Submitted 27 August, 2025;
originally announced August 2025.
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Low-Energy Calibration of SuperCDMS HVeV Cryogenic Silicon Calorimeters Using Compton Steps
Authors:
SuperCDMS Collaboration,
M. F. Albakry,
I. Alkhatib,
D. Alonso-Gonźalez,
D. W. P. Amaral,
J. Anczarski,
T. Aralis,
T. Aramaki,
I. Ataee Langroudy,
C. Bathurst,
R. Bhattacharyya,
A. J. Biffl,
P. L. Brink,
M. Buchanan,
R. Bunker,
B. Cabrera,
R. Calkins,
R. A. Cameron,
C. Cartaro,
D. G. Cerdeño,
Y. -Y. Chang,
M. Chaudhuri,
J. -H. Chen,
R. Chen,
N. Chott
, et al. (126 additional authors not shown)
Abstract:
Cryogenic calorimeters for low-mass dark matter searches have achieved sub-eV energy resolutions, driving advances in both low-energy calibration techniques and our understanding of detector physics. The energy deposition spectrum of gamma rays scattering off target materials exhibits step-like features, known as Compton steps, near the binding energies of atomic electrons. We demonstrate a succes…
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Cryogenic calorimeters for low-mass dark matter searches have achieved sub-eV energy resolutions, driving advances in both low-energy calibration techniques and our understanding of detector physics. The energy deposition spectrum of gamma rays scattering off target materials exhibits step-like features, known as Compton steps, near the binding energies of atomic electrons. We demonstrate a successful use of Compton steps for sub-keV calibration of cryogenic silicon calorimeters, utilizing four SuperCDMS High-Voltage eV-resolution (HVeV) detectors operated with 0 V bias across the crystal. This new calibration at 0 V is compared with the established high-voltage calibration using optical photons. The comparison indicates that the detector response at 0 V is about 30% weaker than expected, highlighting challenges in detector response modeling for low-mass dark matter searches.
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Submitted 9 December, 2025; v1 submitted 4 August, 2025;
originally announced August 2025.
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Characterization of mini-CryoCube detectors from the Ricochet experiment commissioning at the Institut Laue-Langevin
Authors:
Antoine Armatol,
Corinne Augier,
Louis Bailly-Salins,
Guillaume Baulieu,
Laurent Bergé,
Julien Billard,
Juliette Blé,
Guillaume Bres,
Jean-Louis Bret,
Alexandre Broniatowski,
Martino Calvo,
Antonella Cavanna,
Antoine Cazes,
Emanuela Celi,
David Chaize,
Mohammed Chala,
Maurice Chappellier,
Luke Chaplinsky,
Guillaume Chemin,
Ran Chen,
Jules Colas,
Laurent Couraud,
Elspeth Cudmore,
Maryvonne De Jesus,
Nicole Dombrowski
, et al. (61 additional authors not shown)
Abstract:
The Ricochet experiment aims to measure the coherent elastic neutrino-nucleus scattering process from antineutrinos emitted by a research nuclear reactor operated by the Institut Laue-Langevin (Grenoble, France). This article presents a description of the Ricochet experimental installation and the detector performance achieved during its commissioning with a mini-CryoCube module consisting of thre…
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The Ricochet experiment aims to measure the coherent elastic neutrino-nucleus scattering process from antineutrinos emitted by a research nuclear reactor operated by the Institut Laue-Langevin (Grenoble, France). This article presents a description of the Ricochet experimental installation and the detector performance achieved during its commissioning with a mini-CryoCube module consisting of three 42-gram germanium cryogenic calorimeters. The baseline resolutions and background levels are reported both during reactor-on and reactor-off periods, and as noise mitigation techniques were improved. A baseline resolution of 40 eV electron equivalent was achieved for the ionization channel after setup improvements, and the phonon channel resolutions ranged from 50 to 80 eV of total phonon energy. In the energy region from 2 to 7 keV, a nuclear recoil rate of 15(2) events/(kg day keV) is measured during the reactor-off period selecting events in coincidence with muon veto signals. This rate is in agreement with the cosmogenic neutron rate calculated from GEANT4 simulations. After the rejection of events in coincidence with signals in the muon veto detectors, a combined 90% C.L. limit on the nuclear recoil background of < 9 events/(kg day keV) is obtained in that energy region during the reactor-on period, which is compatible with our GEANT4 model calculation corresponding to a total rate of 5 events/(kg day keV). The sensitivity of this analysis was however found to be limited by a surface event contamination which is currently being addressed by the Ricochet Collaboration with upgraded detectors.
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Submitted 30 July, 2025;
originally announced July 2025.
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A Digital Twin Framework for Adaptive Treatment Planning in Radiotherapy
Authors:
Chih-Wei Chang,
Sri Sai Akkineni,
Mingzhe Hu,
Keyur Shah,
Yuan Gao,
Pretesh Patel,
Ashesh B. Jani,
Greeshma Agasthya,
Jun Zhou,
Xiaofeng Yang
Abstract:
The development of a digital twin (DT) framework for fast online adaptive proton therapy planning in prostate stereotactic body radiation therapy (SBRT) with dominant intraprostatic lesion (DIL) boost represents a significant advancement in personalized radiotherapy. This framework integrates deep learning-based multi-atlas deformable image registration, daily patient anatomy updates via cone-beam…
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The development of a digital twin (DT) framework for fast online adaptive proton therapy planning in prostate stereotactic body radiation therapy (SBRT) with dominant intraprostatic lesion (DIL) boost represents a significant advancement in personalized radiotherapy. This framework integrates deep learning-based multi-atlas deformable image registration, daily patient anatomy updates via cone-beam CT (CBCT), and knowledge-based plan quality evaluation using the ProKnow scoring system to achieve clinical-equivalent plan quality with substantially reduced reoptimization times compared to traditional clinical workflows. Drawing on a database of 43 prior prostate SBRT cases, the DT framework predicts interfractional anatomical variations for new patients and pre-generates multiple probabilistic treatment plans. Upon acquiring daily CBCT, it enables rapid plan reoptimization, achieving an average reoptimization time of 5.5 [2.8, 8.2] minutes, compared to 19.8 [7.9, 31.7] minutes for clinical plans. The DT-based plans yielded a plan quality score of 157.2 [151.6, 162.8], surpassing or matching clinical plans, with superior dose coverage for the DIL (V100: 99.5%) and clinical target volume (CTV V100: 99.8%). Additionally, the framework minimized doses to organs at risk (OARs), achieving bladder V20.8Gy of 11.4 [7.2, 15.6] cc, rectum V23Gy of 0.7 [0.3, 1.1] cc, and urethra D10 of 90.9% [88.6%, 93.2%], aligning with clinical standards. By addressing interfractional variations efficiently, the DT framework enhances treatment precision, reduces OAR toxicity, and supports real-time adaptive radiotherapy. This transformative approach not only streamlines the planning process but also improves clinical outcomes, offering a scalable solution for prostate SBRT with DIL boost and paving the way for broader applications in adaptive proton therapy.
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Submitted 22 July, 2025; v1 submitted 17 June, 2025;
originally announced June 2025.
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Stress-driven photo-reconfiguration of surface microstructures via vectorial field-guided lithography
Authors:
I Komang Januariyasa,
Francesco Reda,
Nikolai Liubimtsev,
Pawan Patel,
Cody Pedersen,
Fabio Borbone,
Marcella Salvatore,
Marina Saphiannikova,
David J. McGee,
Stefano Luigi Oscurato
Abstract:
Pattern formation driven by mechanical stress plays a fundamental role in shaping structural organization in both natural and human-made systems. Using light as a vectorial stimulus may offer a powerful route to control stress-induced pattern formation in materials. However, achieving localized, programmable, and predictable control of individual microstructures via structured polarization fields…
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Pattern formation driven by mechanical stress plays a fundamental role in shaping structural organization in both natural and human-made systems. Using light as a vectorial stimulus may offer a powerful route to control stress-induced pattern formation in materials. However, achieving localized, programmable, and predictable control of individual microstructures via structured polarization fields has remained a major challenge. Here, we introduce vectorial field-guided lithography, a novel approach that leverages fully structured polarization fields as lithographic tools to enable the stress-driven reconfiguration of pre-patterned azopolymer microstructures with an unprecedented degree of flexibility, complexity, and diversity. By building on the Viscoplastic PhotoAlignment model, which describes the azopolymer deformation as stress response to structured light, we quantitatively demonstrate and predict complex surface architectures generated by programmable light-induced stress pathways using a digital polarization rotator implemented via a spatial light modulator. We model and experimentally achieve single-step formation of anisotropic, bent, and chiral microstructures from a single pre-patterned geometry. Our results reveal an exceptional control over local microstructure morphology and establish, for the first time, a comprehensive theoretical framework capable of quantitatively designing and fabricating target morphologies on azopolymers. This work moves beyond conventional intensity-based photopatterning and demonstrates that the full vectorial nature of light can dictate the mechanical reshaping of functional polymer surfaces, providing a new platform for the programmable design of complex micro-architectures with applications in photonics, microfluidics, and biology.
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Submitted 10 April, 2026; v1 submitted 7 June, 2025;
originally announced June 2025.
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Spontaneous generation of athermal phonon bursts within bulk silicon causing excess noise, low energy background events and quasiparticle poisoning in superconducting sensors
Authors:
C. L. Chang,
Y. -Y. Chang,
M. Garcia-Sciveres,
W. Guo,
S. A. Hertel,
X. Li,
J. Lin,
M. Lisovenko,
R. Mahapatra,
W. Matava,
D. N. McKinsey,
P. K. Patel,
B. Penning,
M. Platt,
M. Pyle,
Y. Qi,
M. Reed,
I. Rydstrom,
R. K. Romani,
B. Sadoulet,
B. Serfass,
P. Sorensen,
B. Suerfu,
V. Velan,
G. Wang
, et al. (3 additional authors not shown)
Abstract:
Solid state phonon detectors used in the search for dark matter and coherent neutrino nucleus interactions (CE$ν$NS) require excellent energy resolution (eV-scale or below) and low backgrounds. An unknown source of phonon bursts, the low energy excess (LEE), dominates other above-threshold backgrounds and generates excess shot noise from sub-threshold bursts. In this paper, we measure these phonon…
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Solid state phonon detectors used in the search for dark matter and coherent neutrino nucleus interactions (CE$ν$NS) require excellent energy resolution (eV-scale or below) and low backgrounds. An unknown source of phonon bursts, the low energy excess (LEE), dominates other above-threshold backgrounds and generates excess shot noise from sub-threshold bursts. In this paper, we measure these phonon bursts for 12 days after cooldown in two nearly identical 1 cm$^2$ silicon detectors that differ only in the thickness of their substrate (1 mm vs. 4 mm thick). We find that both the channel-correlated shot noise and near-threshold shared LEE relax with time since cooldown. Additionally, both the correlated shot noise and LEE rates scale linearly with substrate thickness. When combined with previous measurements of other silicon phonon detectors with different substrate geometries and mechanical support strategies, these measurements strongly suggest that the dominant source of both above and below threshold LEE is the bulk substrate. By monitoring the relation between bias power and excess phonon shot noise, we estimate that the energy scale for sub-threshold noise events is $0.68 \pm 0.38$ meV. In our final dataset, we report a world-leading energy resolution of 258.5$\pm$0.4 meV in the 1 mm thick detector. Simple calculations suggest that these silicon substrate phonon bursts are likely a significant source of quasiparticle poisoning in superconducting qubits operated in well shielded and vibration free environments.
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Submitted 2 October, 2025; v1 submitted 21 May, 2025;
originally announced May 2025.
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Uncovering the Varieties of Three-dimensional Hall-MHD Turbulence
Authors:
Pratik Patel,
Sharad K Yadav,
Hideaki Miura,
Rahul Pandit
Abstract:
We carry out extensive pseudospectral direct numerical simulations (DNSs) of decaying three-dimensional (3D) Hall magnetohydrodynamics (3D HMHD) plasma turbulence at three magnetic Prandtl numbers $Pr_{m}=0.1$, $1.0$ and $10.0$. Our DNSs have been designed to uncover the dependence of the statistical properties of 3D HMHD turbulence on $Pr_m$ and to bring out the subtle interplay between three len…
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We carry out extensive pseudospectral direct numerical simulations (DNSs) of decaying three-dimensional (3D) Hall magnetohydrodynamics (3D HMHD) plasma turbulence at three magnetic Prandtl numbers $Pr_{m}=0.1$, $1.0$ and $10.0$. Our DNSs have been designed to uncover the dependence of the statistical properties of 3D HMHD turbulence on $Pr_m$ and to bring out the subtle interplay between three lengths, the kinetic and magnetic dissipation length scales $η_u$, and $η_b$ and the ion-inertial scale $d_i$, below which we see the manifestations of the Hall term. This interplay, qualitatively apparent from isosurface plots of the moduli of the vorticity and the current density, is exposed clearly by the kinetic-energy and magnetic-energy spectra, $E_u(k)$ and $E_b(k)$, respectively. We find two different inertial regions, In the first inertial region $k<k_{i}\sim1/d_i$, both the kinetic-energy and magnetic-energy spectra, $E_u(k)$ and $E_b(k)$, respectively, display power-law regions with an exponent that is consistent with Kolmogorov-type $-5/3$ scaling, at all values of $Pr_m$. In the second inertial region $k > k_{i}$, the scaling of $E_b(k)$ depends upon $Pr_M$: At $Pr_{m}=0.1$, the spectral-scaling exponent is $-17/3$, but for $Pr_{m}=1$ and $10$ this exponent is $-11/3$. We then show theoretically that
$E_u(k) \sim k^2 E_b(k)$ for $Pr_m \ll 1$ and $E_b(k) \sim k^2 E_u(k)$ for $Pr_m \gg 1$; our DNS results are consistent with our theoretical predictions. We examine, furthermore, left- and right-polarised fluctuations of the fields that lead, respectively, to the dominance of ion-cyclotron or whistler waves.
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Submitted 14 May, 2025;
originally announced May 2025.
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A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows
Authors:
Palak Patel,
Luke McGuire,
Abani Patra
Abstract:
Traditional physics-based models of geophysical flows, such as debris flows and landslides that pose significant risks to human lives and infrastructure are computationally expensive, limiting their utility for large-scale parameter sweeps, uncertainty quantification, inversions or real-time applications. This study presents an efficient alternative, a deep learning-based surrogate model built usi…
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Traditional physics-based models of geophysical flows, such as debris flows and landslides that pose significant risks to human lives and infrastructure are computationally expensive, limiting their utility for large-scale parameter sweeps, uncertainty quantification, inversions or real-time applications. This study presents an efficient alternative, a deep learning-based surrogate model built using a modified U-Net architecture to predict the dynamics of runoff-generated debris flows across diverse terrain based on data from physics based simulations. The study area is divided into smaller patches for localized predictions using a patch-predict-stitch methodology (complemented by limited global data to accelerate training). The patches are then combined to reconstruct spatially continuous flow maps, ensuring scalability for large domains. To enable fast training using limited expensive simulations, the deep learning model was trained on data from an ensemble of physics based simulations using parameters generated via Latin Hypercube Sampling and validated on unseen parameter sets and terrain, achieving maximum pointwise errors below 10% and robust generalization. Uncertainty quantification using Monte Carlo methods are enabled using the validated surrogate, which can facilitate probabilistic hazard assessments. This study highlights the potential of deep learning surrogates as powerful tools for geophysical flow analysis, enabling computationally efficient and reliable probabilistic hazard map predictions.
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Submitted 10 April, 2025;
originally announced April 2025.
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First Limits on Light Dark Matter Interactions in a Low Threshold Two Channel Athermal Phonon Detector from the TESSERACT Collaboration
Authors:
C. L. Chang,
Y. -Y. Chang,
L. Chaplinsky,
C. W. Fink,
M. Garcia-Sciveres,
W. Guo,
S. A. Hertel,
X. Li,
J. Lin,
M. Lisovenko,
R. Mahapatra,
W. Matava,
D. N. McKinsey,
V. Novati,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Platt,
M. Pyle,
Y. Qi,
M. Reed,
G. R. C Rischbieter,
R. K. Romani,
B. Sadoulet,
B. Serfass
, et al. (23 additional authors not shown)
Abstract:
We present results of a search for spin-independent dark matter-nucleon interactions in a 1 cm$^2$ by 1 mm thick (0.233 gram) high-resolution silicon athermal phonon detector operated above ground. For interactions in the substrate, this detector achieves a r.m.s. baseline energy resolution of 361.5 $\pm$ 0.4 MeV/$c^2$, the best for any athermal phonon detector to date. With an exposure of 0.233g…
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We present results of a search for spin-independent dark matter-nucleon interactions in a 1 cm$^2$ by 1 mm thick (0.233 gram) high-resolution silicon athermal phonon detector operated above ground. For interactions in the substrate, this detector achieves a r.m.s. baseline energy resolution of 361.5 $\pm$ 0.4 MeV/$c^2$, the best for any athermal phonon detector to date. With an exposure of 0.233g $\times$ 12 hours, we place the most stringent constraints on dark matter masses between 44 and 87 MeV/$c^2$, with the lowest unexplored cross section of 4 $\times 10^{-32}$ cm$^2$ at 87 MeV/$c^2$. We employ a conservative salting technique to reach the lowest dark matter mass ever probed via direct detection experiment. This constraint is enabled by two-channel rejection of low-energy backgrounds that are coupled to individual sensors.
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Submitted 28 March, 2025; v1 submitted 5 March, 2025;
originally announced March 2025.
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An Adaptive Proton FLASH Therapy Using Modularized Pin Ridge Filter
Authors:
Ahmal Jawad Zafar,
Xiaofeng Yang,
Zachary Diamond,
Tian Sibo,
David Yu,
Pretesh R. Patel,
Jun Zhou
Abstract:
In this paper, we proposed a method to optimize adaptive proton FLASH therapy (ADP FLASH) using modularized pin ridge filters (pRFs) by recycling module pins from the initial plan while reducing pRF adjustments in adaptive FLASH planning. Initially, single energy (250 MeV) FLASH pRF plans were created using pencil beam directions (PBDs) from initial IMPT plans on the planning CT (pCT). PBDs are cl…
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In this paper, we proposed a method to optimize adaptive proton FLASH therapy (ADP FLASH) using modularized pin ridge filters (pRFs) by recycling module pins from the initial plan while reducing pRF adjustments in adaptive FLASH planning. Initially, single energy (250 MeV) FLASH pRF plans were created using pencil beam directions (PBDs) from initial IMPT plans on the planning CT (pCT). PBDs are classified as new/changed ($Δ$E > > 5 MeV) or unchanged by comparing spot maps for targets between pCT and re-CT. We used an iterative least square regression model to identify recyclable PBDs with minimal relative changes to spot MU weighting. Two PBDs with the least square error were retrieved per iteration and added to the background plan, and the remaining PBDs were reoptimized for the adaptive plan in subsequent iterations. The method was validated on three liver SBRT cases (50 Gy in 5 fractions) by comparing various dosimetric parameters across initial pRF plans on pCT, reCT and the ADP FLASH pRF plans on reCT. V100 for initial pRF plans on pCT, reCT, and ADP FLASH pRF plans for the three cases were as follows: (93.7%, 89.2%, 91.4%), (93.5%, 60.2%, 91.7%), (97.3%, 69.9%, 98.8%). We observe a decline in plan quality when applying the initial pRF to the reCT, whereas the ADP FLASH pRF approach restores quality comparable to the initial pRF on the pCT. FLASH effect of the initial pRF and ADP pRF plans were evaluated with a dose and dose rate threshold of 1Gy and 40Gy/s, respectively, using the FLASH effectiveness model. The proposed method recycled 91.2%, 71%, and 64.7% of PBDs from initial pRF plans for the three cases while maintaining all clinical goals and preserving FLASH effects across all cases.
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Submitted 2 February, 2025;
originally announced February 2025.
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Stereotactic Arrhythmia Radioablation for Refractory Ventricular Tachycardia: A Narrative Review and Exploratory Pooled Analysis of Clinical Outcomes and Toxicity
Authors:
Keyur D. Shah,
Chih-Wei Chang,
Sibo Tian,
Pretesh Patel,
Richard Qiu,
Justin Roper,
Jun Zhou,
Zhen Tian,
Xiaofeng Yang
Abstract:
Purpose: Stereotactic arrhythmia radioablation (STAR) is a non-invasive salvage therapy for refractory ventricular tachycardia (VT), especially in patients ineligible for catheter ablation. This narrative review and pooled analysis evaluates the safety, efficacy, and technical characteristics of STAR, integrating preclinical studies, case reports, case series, and clinical trials. Methods and Mate…
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Purpose: Stereotactic arrhythmia radioablation (STAR) is a non-invasive salvage therapy for refractory ventricular tachycardia (VT), especially in patients ineligible for catheter ablation. This narrative review and pooled analysis evaluates the safety, efficacy, and technical characteristics of STAR, integrating preclinical studies, case reports, case series, and clinical trials. Methods and Materials: A comprehensive review identified 86 studies published between 2015 and 2025, including 12 preclinical studies, 49 case reports, 18 case series, and 7 clinical trials. Study-level data were extracted for pooled analysis of 6- and 12-month mortality, VT burden reduction, and grade 3+ acute toxicities. Subgroup analyses were performed by delivery modality, age, left ventricular ejection fraction (LVEF), and cardiomyopathy type. Results: Pooled mortality was 16% (95% CI: 11-20%) at 6 months and 33% (95% CI: 27-38%) at 12 months. VT burden reduction at 6 months averaged 75% (95% CI: 73-77%) but showed substantial heterogeneity (I^2 = 98.8%). Grade 3+ acute toxicities occurred in 7% (95% CI: 4-10%), with heart failure being most common. Subgroup analyses suggested better outcomes in younger patients, those with NICM, and those with higher LVEF. Conclusions: STAR is a promising salvage therapy with favorable acute safety and efficacy. Outcome heterogeneity and inconsistent reporting highlight the need for standardized definitions, dosimetric protocols, and longer-term follow-up. Prospective trials and real-world registries are critical for refining STAR's role in VT management.
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Submitted 14 May, 2025; v1 submitted 30 January, 2025;
originally announced January 2025.
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A Comparative Dosimetric Study of Proton and Photon Therapy in Stereotactic Arrhythmia Radioablation for Ventricular Tachycardia
Authors:
Keyur D. Shah,
Chih-Wei Chang,
Pretesh Patel,
Sibo Tian,
Yuan Shao,
Kristin A Higgins,
Yinan Wang,
Justin Roper,
Jun Zhou,
Zhen Tian,
Xiaofeng Yang
Abstract:
Purpose: VT is a life-threatening arrhythmia commonly treated with catheter ablation; however, some cases remain refractory to conventional treatment. STAR has emerged as a non-invasive option for such patients. While photon-based STAR has shown efficacy, proton therapy offers potential advantages due to its superior dose conformity and sparing of critical OARs, including the heart itself. This st…
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Purpose: VT is a life-threatening arrhythmia commonly treated with catheter ablation; however, some cases remain refractory to conventional treatment. STAR has emerged as a non-invasive option for such patients. While photon-based STAR has shown efficacy, proton therapy offers potential advantages due to its superior dose conformity and sparing of critical OARs, including the heart itself. This study aims to investigate and compare the dosimetry between proton and photon therapy for VT, focusing on target coverage and OAR sparing. Methods: We performed a retrospective study on a cohort of 34 VT patients who received photon STAR. Proton STAR plans were generated using robust optimization in RayStation to deliver the same prescription dose of 25 Gy in a single fraction while minimizing dose to OARs. Dosimetric metrics, including D99, D95, Dmean, and D0.03cc, were extracted for critical OARs and VAS. Shapiro-Wilk tests were used to assess normality, followed by paired t-tests or Wilcoxon signed-rank tests for statistical comparisons between modalities, with Bonferroni correction applied for multiple comparisons. Results: Proton and photon plans achieved comparable target coverage, with VAS D95 of 24.1 +/- 1.2 Gy vs. 24.7 +/- 1.0 Gy (p=0.294). Proton therapy significantly reduced OAR doses, including heart Dmean (3.6 +/- 1.5 Gy vs. 5.5 +/- 2.0 Gy, p<0.001), lungs Dmean (1.6 +/- 1.5 Gy vs. 2.1 +/- 1.4 Gy, p<0.001), and esophagus Dmean (0.3 +/- 0.6 Gy vs. 1.6 +/- 1.3 Gy, p<0.001), while maintaining optimal target coverage. Conclusion: Proton therapy for STAR demonstrates significant dosimetric advantages in sparing the heart and other critical OARs compared to photon therapy for VT, while maintaining equivalent target coverage. These findings highlight the potential of proton therapy to reduce treatment-related toxicity and improve outcomes for VT patients.
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Submitted 3 February, 2025; v1 submitted 30 January, 2025;
originally announced January 2025.
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Low Energy Backgrounds and Excess Noise in a Two-Channel Low-Threshold Calorimeter
Authors:
Robin Anthony-Petersen,
Clarence L. Chang,
Yen-Yung Chang,
Luke Chaplinsky,
Caleb W. Fink,
Maurice Garcia-Sciveres,
Wei Guo,
Scott A. Hertel,
Xinran Li,
Junsong Lin,
Marharyta Lisovenko,
Rupak Mahapatra,
William Matava,
Daniel N. McKinsey,
David Z. Osterman,
Pratyush K. Patel,
Bjoern Penning,
Mark Platt,
Matt Pyle,
Yinghe Qi,
Maggie Reed,
Ivar Rydstrom,
Roger K. Romani,
Bernard Sadoulet,
Bruno Serfass
, et al. (7 additional authors not shown)
Abstract:
We describe observations of low energy excess (LEE) events, background events observed in all light dark matter direct detection calorimeters, and noise in a Transition Edge Sensor based two-channel silicon athermal phonon detector with 375 meV baseline energy resolution. We measure two distinct LEE populations: ``shared'' multichannel events with a pulse shape consistent with substrate athermal p…
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We describe observations of low energy excess (LEE) events, background events observed in all light dark matter direct detection calorimeters, and noise in a Transition Edge Sensor based two-channel silicon athermal phonon detector with 375 meV baseline energy resolution. We measure two distinct LEE populations: ``shared'' multichannel events with a pulse shape consistent with substrate athermal phonon events, and sub-eV events that couple nearly exclusively to a single channel with a significantly faster pulse shape. These ``singles'' are consistent with events occurring within the aluminum athermal phonon collection fins. Similarly, our measured detector noise is higher than the theoretical expectation. Measured noise can be split into an uncorrelated component, consistent with shot noise from small energy depositions within the athermal phonon sensor itself, and a correlated component, consistent with shot noise from energy depositions within the silicon substrate's phonon system.
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Submitted 4 April, 2025; v1 submitted 21 October, 2024;
originally announced October 2024.
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Design Studies Of A Pulsed Quasimonoenergetic 2-keV Neutron Source For Calibration Of Low Threshold Dark Matter Detectors
Authors:
L. Chaplinsky,
S. Fiorucci,
C. W. Fink,
M. Garcia-Sciveres,
W. Guo,
S. A. Hertel,
J. K. Wuko,
X. Li,
J. Lin,
R. Mahapatra,
W. Matava,
D. N. McKinsey,
D. Z. Osterman,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Platt,
Y. Qi,
M. Reed,
G. R. C Rischbieter,
R. K. Romani,
P. Sorensen,
V. Velan,
G. Wang,
Y. Wang
, et al. (2 additional authors not shown)
Abstract:
We describe design studies for a pulsed quasi-monoenergetic 2-keV neutron source for calibration of sub-keV nuclear recoils. Such a calibration is required for detectors sensitive to sub-GeV dark matter and also the coherent elastic scattering of reactor neutrinos. In our design, neutrons from a commercial deuterium-tritium generator are moderated to the keV scale and then filtered to the monoener…
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We describe design studies for a pulsed quasi-monoenergetic 2-keV neutron source for calibration of sub-keV nuclear recoils. Such a calibration is required for detectors sensitive to sub-GeV dark matter and also the coherent elastic scattering of reactor neutrinos. In our design, neutrons from a commercial deuterium-tritium generator are moderated to the keV scale and then filtered to the monoenergetic spectrum using a feature in the neutron cross section of scandium. In this approach, unmoderated high-energy neutrons form a challenging background, along with gammas from neutron capture in the moderator materials. We describe the optimization of the moderator+filter and shielding geometry, and find a geometry that in simulation achieves both the target neutron flux at 2 keV and subdominant rates of background interactions. Lastly, we describe a future path to lower-energy (few eV scale) calibrations using time-of-flight and sub-keV neutrons.
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Submitted 14 October, 2024;
originally announced October 2024.
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Exploring the soft pinning effect in the dynamics and the structure dynamics correlation in multicomponent supercooled liquids
Authors:
Ehtesham Anwar,
Palak Patel,
Mohit Sharma,
Sarika Maitra Bhattacharyya
Abstract:
We study multicomponent liquids by increasing the mass of $15\%$ of the particles in a binary Kob-Andersen model. We find that the heavy particles have dual effects on the lighter particles. At higher temperatures, there is a significant decoupling of the dynamics between heavier and lighter particles, with the former resembling a pinned particle to the latter. The dynamics of the lighter particle…
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We study multicomponent liquids by increasing the mass of $15\%$ of the particles in a binary Kob-Andersen model. We find that the heavy particles have dual effects on the lighter particles. At higher temperatures, there is a significant decoupling of the dynamics between heavier and lighter particles, with the former resembling a pinned particle to the latter. The dynamics of the lighter particles slow down due to the excluded volume around the nearly immobile heavier particles. Conversely, at lower temperatures, there is a coupling between the dynamics of the heavier and lighter particles. The heavier particles' mass slows down the dynamics of both types of particles. This makes the soft pinning effect of the heavy particles questionable in this regime. We demonstrate that as the mass of the heavy particles increases, the coupling of the dynamics between the lighter and heavier particles weakens. Consequently, the heavier the mass of the heavy particles, the more effectively they act as soft pinning centres in both high and low-temperature regimes. A key finding is that akin to the pinned system, the self and collective dynamics of the lighter particles decouple from each other as the mass of the heavy particles has a more pronounced impact on the latter. We analyze the structure dynamics correlation by considering the system under the binary and modified quaternary framework, the latter describing the pinned system. Our findings indicate that whenever the heavy mass particles function as soft pinning centres, the modified quaternary framework predicts a higher correlation.
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Submitted 27 July, 2024;
originally announced July 2024.
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Using Modularized Pin Ridge Filter in Proton FLASH Planning for Liver Stereotactic Ablative Body Radiotherapy
Authors:
Chaoqiong Ma,
Xiaofeng Yang,
Yinan Wang,
David Yu,
Pretesh Patel,
Jun Zhou
Abstract:
We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this study, we refined the pin-RF design for easy assembly using reusable modules, focusing on its application in liver SABR. This framework generates an intermediate IMPT plan and translates it into step widths and thickness…
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We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this study, we refined the pin-RF design for easy assembly using reusable modules, focusing on its application in liver SABR. This framework generates an intermediate IMPT plan and translates it into step widths and thicknesses of pin-RFs for a single-energy FLASH plan. Parameters like energy spacing, monitor unit limit, and spot quantity were adjusted during IMPT planning, resulting in pin-RFs assembled using predefined modules with widths from 1 to 6 mm, each with a WET of 5 mm. This approach was validated on three liver SABR cases. FLASH doses, quantified using the FLASH effectiveness model at 1 to 5 Gy thresholds, were compared to conventional IMPT (IMPT-CONV) doses to assess clinical benefits. The highest demand for 6 mm width modules, moderate for 2-4 mm, and minimal for 1- and 5-mm modules were shown across all cases. At lower dose thresholds, the two-beam case showed significant dose reductions (>23%), while the other two three-beam cases showed moderate reductions (up to 14.7%), indicating the need for higher fractional beam doses for an enhanced FLASH effect. Positive clinical benefits were seen only in the two-beam case at the 5 Gy threshold. At the 1 Gy threshold, the FLASH plan of the two-beam case outperformed its IMPT-CONV plan, reducing dose indicators by up to 28.3%. However, the three-beam cases showed negative clinical benefits at the 1 Gy threshold, with some dose indicators increasing by up to 16% due to lower fractional beam doses and closer beam arrangements. This study evaluated the feasibility of modularizing streamlined pin-RFs in single-energy proton FLASH planning for liver SABR, offering guidance on optimal module composition and strategies to enhance FLASH planning.
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Submitted 4 June, 2024;
originally announced June 2024.
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Adaptive Proton Therapy Using CBCT-Guided Digital Twins
Authors:
Chih-Wei Chang,
Zhen Tian,
Richard L. J. Qiu,
H. Scott McGinnis,
Duncan Bohannon,
Pretesh Patel,
Yinan Wang,
David S. Yu,
Sagar A. Patel,
Jun Zhou,
Xiaofeng Yang
Abstract:
This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes. This study seeks to address these uncertain…
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This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes. This study seeks to address these uncertainties using DT concept, with the goal of improving treatment quality, potentially revolutionizing prostate radiotherapy to offer personalized treatment solutions. Our study presented a pioneering approach that leverages DT technology to enhance adaptive proton SBRT. The framework improves treatment plans by utilizing patient-specific CTV setup uncertainty, which is usually smaller than conventional clinical setups. This research contributes to the ongoing efforts to enhance the efficiency and efficacy of prostate radiotherapy, with ultimate goals of improving patient outcomes and life quality.
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Submitted 17 May, 2024; v1 submitted 16 May, 2024;
originally announced May 2024.
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Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
Authors:
Yang Lei,
Luke A. Matkovic,
Justin Roper,
Tonghe Wang,
Jun Zhou,
Beth Ghavidel,
Mark McDonald,
Pretesh Patel,
Xiaofeng Yang
Abstract:
This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assumed a diffeomorphic deformation. By using topology-preserved deformation features extracted from the probabilistic diffeomorphic registration model, abdominal motion can be accurately obtained and utilized for DVF estimat…
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This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assumed a diffeomorphic deformation. By using topology-preserved deformation features extracted from the probabilistic diffeomorphic registration model, abdominal motion can be accurately obtained and utilized for DVF estimation. The model integrated Swin transformers, which have demonstrated superior performance in motion tracking, into the convolutional neural network (CNN) for deformation feature extraction. The model was optimized using a cross-modality image similarity loss and a surface matching loss. To compute the image loss, a modality-independent neighborhood descriptor (MIND) was used between the deformed MRI and CT images. The surface matching loss was determined by measuring the distance between the warped coordinates of the surfaces of contoured structures on the MRI and CT images. The deformed MRI image was assessed against the CT image using the target registration error (TRE), Dice similarity coefficient (DSC), and mean surface distance (MSD) between the deformed contours of the MRI image and manual contours of the CT image. When compared to only rigid registration, DIR with the proposed method resulted in an increase of the mean DSC values of the liver and portal vein from 0.850 and 0.628 to 0.903 and 0.763, a decrease of the mean MSD of the liver from 7.216 mm to 3.232 mm, and a decrease of the TRE from 26.238 mm to 8.492 mm. The proposed deformable image registration method based on a diffeomorphic transformer provides an effective and efficient way to generate an accurate DVF from an MRI-CT image pair of the abdomen. It could be utilized in the current treatment planning workflow for liver radiotherapy.
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Submitted 4 May, 2024;
originally announced May 2024.
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Laser cooling $^{88}$Sr to microkelvin temperature with an integrated-photonics system
Authors:
Andrew R. Ferdinand,
Zheng Luo,
Sindhu Jammi,
Zachary Newman,
Grisha Spektor,
Okan Koksal,
Parth B. Patel,
Daniel Sheredy,
William Lunden,
Akash Rakholia,
Travis C. Briles,
Wenqi Zhu,
Martin M. Boyd,
Amit Agrawal,
Scott B. Papp
Abstract:
We report on experiments generating a magneto-optical trap (MOT) of 88-strontium ($^{88}$Sr) atoms at microkelvin temperature, using integrated-photonics devices. With metasurface optics integrated on a fused-silica substrate, we generate six-beam, circularly polarized, counter-propagating MOTs on the blue broad-line, 461 nm, and red narrow-line, 689 nm, Sr cooling transitions without bulk optics.…
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We report on experiments generating a magneto-optical trap (MOT) of 88-strontium ($^{88}$Sr) atoms at microkelvin temperature, using integrated-photonics devices. With metasurface optics integrated on a fused-silica substrate, we generate six-beam, circularly polarized, counter-propagating MOTs on the blue broad-line, 461 nm, and red narrow-line, 689 nm, Sr cooling transitions without bulk optics. By use of a diverging beam configuration, we create up to 10 mm diameter MOT beams at the trapping location. To frequency stabilize and linewidth narrow the cooling lasers, we use fiber-packaged, integrated nonlinear waveguides to spectrally broaden a frequency comb. The ultra-coherent supercontinuum of the waveguides covers 650 nm to 2500 nm, enabling phase locks of the cooling lasers to hertz level linewidth. Our work highlights the possibility to simplify the preparation of an ultracold 88Sr gas for an optical-lattice clock with photonic devices. By implementing a timing sequence for control of the MOT lasers and the quadrupole magnetic-field gradient, we collect atoms directly from a thermal beam into the blue MOT and continuously cool into a red MOT with dynamic detuning and intensity control. There, the red MOT temperature is as low as $2~μ$K and the overall transfer efficiency up to 16%. We characterize this sequence, including an intermediate red MOT with modulated detuning. Our experiments demonstrate an integrated photonics system capable of cooling alkaline-earth gases to microkelvin temperature with sufficient transfer efficiencies for adoption in scalable optical clocks and quantum sensors.
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Submitted 19 April, 2024;
originally announced April 2024.
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Assessing Bilateral Neurovascular Bundles Function with Pulsed Wave Doppler Ultrasound: Implications for Reducing Erectile Dysfunction Following Prostate Radiotherapy
Authors:
Jing Wang,
Xiaofeng Yang,
Boran Zhou,
James Sohn,
Richard Qiu,
Pretesh Patel,
Ashesh B. Jani,
Tian Liu
Abstract:
This study aims to evaluate the functional status of bilateral neurovascular bundles (NVBs) using pulsed wave Doppler ultrasound in patients undergoing prostate radiotherapy (RT). Sixty-two patients (mean age: 66.1 +/- 7.2 years) underwent transrectal ultrasound scan using a conventional ultrasound scanner, a 7.5 MHz bi-plane probe and a mechanical stepper. The ultrasound protocol comprised 3 step…
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This study aims to evaluate the functional status of bilateral neurovascular bundles (NVBs) using pulsed wave Doppler ultrasound in patients undergoing prostate radiotherapy (RT). Sixty-two patients (mean age: 66.1 +/- 7.2 years) underwent transrectal ultrasound scan using a conventional ultrasound scanner, a 7.5 MHz bi-plane probe and a mechanical stepper. The ultrasound protocol comprised 3 steps: 1) 3D B-mode scans of the entire prostate, 2) localization of NVBs using color flow Doppler imaging, and 3) measurement of NVB function using pulsed wave Doppler. Five pulsed Doppler waveform features were extracted: peak systolic velocity (PSV), end-diastolic velocity (EDV), mean velocity (Vm), resistive index (RI), and pulsatile index (PI). In summary, this study presents a Doppler evaluation of NVBs in patients undergoing prostate RT. It highlights substantial differences in Doppler ultrasound waveform features between bilateral NVBs. The proposed ultrasound method may prove valuable as clinicians strive to deliver NVB-sparing RT to preserve sexual function effectively and enhance patients' overall well-being.
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Submitted 29 February, 2024;
originally announced March 2024.
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Three-dimensional, multi-wavelength beam formation with integrated metasurface optics for Sr laser cooling
Authors:
Sindhu Jammi,
Andrew R. Ferdinand,
Zheng Luo,
Zachary L. Newman,
Gregory Spektor,
Junyeob Song,
Okan Koksal,
Akash V. Rakholia,
William Lunden,
Daniel Sheredy,
Parth B. Patel,
Martin M. Boyd,
Wenqi Zhu,
Amit Agrawal,
Travis C. Briles,
Scott B. Papp
Abstract:
We demonstrate the formation of a complex, multi-wavelength, three-dimensional laser beam configuration with integrated metasurface optics. Our experiments support the development of a compact Sr optical-lattice clock, which leverages magneto-optical trapping on atomic transitions at 461 nm and 689 nm without bulk free-space optics. We integrate six, mm-scale metasurface optics on a fused-silica s…
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We demonstrate the formation of a complex, multi-wavelength, three-dimensional laser beam configuration with integrated metasurface optics. Our experiments support the development of a compact Sr optical-lattice clock, which leverages magneto-optical trapping on atomic transitions at 461 nm and 689 nm without bulk free-space optics. We integrate six, mm-scale metasurface optics on a fused-silica substrate and illuminate them with light from optical fibers. The metasurface optics provide full control of beam pointing, divergence, and polarization to create the laser configuration for a magneto-optical trap. We report the efficiency and integration of the three-dimensional visible laser beam configuration, demonstrating the suitability of metasurface optics for atomic laser cooling.
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Submitted 13 February, 2024;
originally announced February 2024.
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arXiv:2312.10353
[pdf]
physics.chem-ph
cond-mat.soft
cond-mat.stat-mech
physics.comp-ph
physics.flu-dyn
Effect of the presence of pinned particles on the structural parameters of a liquid and correlation between structure and dynamics at the local level
Authors:
Palak Patel,
Sarika Maitra Bhattacharyya
Abstract:
Pinning particles at the equilibrium configuration of the liquid is expected not to affect the structure and any property that depends on the structure while slowing down the dynamics. This leads to a breakdown of the structure dynamics correlation. Here, we calculate two structural quantities, the pair excess entropy, $S_2$, and the mean field caging potential, the inverse of which is our structu…
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Pinning particles at the equilibrium configuration of the liquid is expected not to affect the structure and any property that depends on the structure while slowing down the dynamics. This leads to a breakdown of the structure dynamics correlation. Here, we calculate two structural quantities, the pair excess entropy, $S_2$, and the mean field caging potential, the inverse of which is our structural order parameter (SOP). We show that when the pinned particles are treated the same way as the mobile particles, both $S_2$ and SOP of the mobile particles remain the same as that of the unpinned system, and the structure dynamics correlation decreases with an increase in pinning density, "c". However, when we treat the pinned particles as a different species, even if we consider that the structure does not change, the expression of $S_2$ and SOP changes. The microscopic expressions show that interaction between a pinned and mobile particle affects $S_2$ and SOP more than the interaction between two mobile particles. We show that a similar effect is also present in the calculation of the excess entropy and the primary reason for the well-known vanishing of the configurational entropy at high temperatures. We further show that contrary to common belief, the pinning process does change the structure. When these two effects are considered, both $S_2$ and SOP decrease with an increase in "c", and the correlation between the structural parameters and the dynamics continues even for higher values of "c".
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Submitted 23 April, 2024; v1 submitted 16 December, 2023;
originally announced December 2023.
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Modeling and characterization of TES-based detectors for the Ricochet experiment
Authors:
R. Chen,
E. Figueroa-Feliciano,
G. Bratrud,
C. L. Chang,
L. Chaplinsky,
E. Cudmore,
W. Van De Pontseele,
J. A. Formaggio,
P. Harrington,
S. A. Hertel,
Z. Hong,
K. T. Kennard,
M. Li,
M. Lisovenko,
L. O. Mateo,
D. W. Mayer,
V. Novati,
P. K. Patel,
H. D. Pinckney,
N. Raha,
F. C. Reyes,
A. Rodriguez,
B. Schmidt,
J. Stachurska,
C. Veihmeyer
, et al. (4 additional authors not shown)
Abstract:
Coherent elastic neutrino-nucleus scattering (CE$ν$NS) offers a valuable approach in searching for physics beyond the Standard Model. The Ricochet experiment aims to perform a precision measurement of the CE$ν$NS spectrum at the Institut Laue-Langevin nuclear reactor with cryogenic solid-state detectors. The experiment plans to employ an array of cryogenic thermal detectors, each with a mass aroun…
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Coherent elastic neutrino-nucleus scattering (CE$ν$NS) offers a valuable approach in searching for physics beyond the Standard Model. The Ricochet experiment aims to perform a precision measurement of the CE$ν$NS spectrum at the Institut Laue-Langevin nuclear reactor with cryogenic solid-state detectors. The experiment plans to employ an array of cryogenic thermal detectors, each with a mass around 30 g and an energy threshold of sub-100 eV. The array includes nine detectors read out by Transition-Edge Sensors (TES). These TES based detectors will also serve as demonstrators for future neutrino experiments with thousands of detectors. In this article we present an update in the characterization and modeling of a prototype TES detector.
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Submitted 21 November, 2023;
originally announced November 2023.
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Integration of a new Cryogenic Liquefier into the IB-1 Cryogenic Test Facility
Authors:
Maria Barba,
Benjamin Hansen,
Michael White,
Gregory Johnson,
Omar Al Atassi,
Jun Dong,
Shreya Ranpariya,
William Soyars,
Ahmed Faraj,
Pratik Patel,
Noelle Besse,
Annelise Machefel,
Lois Perrot
Abstract:
The increase over the last years of the testing activities related to quantum systems, SRF cavities for the PIP-II and the LCLS-II projects, as well as superconducting magnets for the HL-LHC project and Fusion research activities, has required the addition of a new Helium cryogenic plant into the existing IB-1 Industrial Cryogenic Test Facility. The new cryogenic plant is composed of a cryogenic l…
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The increase over the last years of the testing activities related to quantum systems, SRF cavities for the PIP-II and the LCLS-II projects, as well as superconducting magnets for the HL-LHC project and Fusion research activities, has required the addition of a new Helium cryogenic plant into the existing IB-1 Industrial Cryogenic Test Facility. The new cryogenic plant is composed of a cryogenic liquefier (Cold Box) able to provide up to 340 L/h, a 4 kL Dewar and two Mycom compressors providing up to 120 g/s. AL-AT (Air Liquide Advanced Technologies) has taken part of this project by designing and manufacturing the cryogenic liquefier. This new cryogenic plant is connected through a cryogenic distribution system to a 10 kL Dewar, which is part of the existing cryogenic test facility, itself composed of another Cold Box and a Sullair compressor. The new cryogenic plant has two main operating modes: one allows to transfer liquid helium at 1.7 bar between the two Dewars, the other allows to transfer supercritical Helium at 2 bar or more between the new Cold Box and the 10 kL Dewar. The entire industrial cryogenic facility is handled by a common Inventory Control System, composed of three control valves, and 9 tanks giving a total buffer volume of more than 1000 m3. This paper presents the technical features of the new Helium cryogenic plant, as well as the main results of the liquefier commissioning phase and details of the helium transfer between the two Dewars, making the connection between the cryogenic plants at the IB-1 Industrial Cryogenic Test Facility.
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Submitted 29 August, 2023;
originally announced August 2023.
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First Demonstration of the HeRALD Superfluid Helium Detector Concept
Authors:
R. Anthony-Petersen,
A. Biekert,
C. L. Chang,
Y. Chang,
L. Chaplinsky,
A. Dushkin,
C. W. Fink,
M. Garcia-Sciveres,
W. Guo,
S. A. Hertel,
X. Li,
J. Lin,
R. Mahapatra,
W. Matava,
D. N. McKinsey,
D. Z. Osterman,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Platt,
M. Pyle,
Y. Qi,
M. Reed,
G. R. C Rischbieter,
R. K. Romani
, et al. (11 additional authors not shown)
Abstract:
The SPICE/HeRALD collaboration is performing R&D to enable studies of sub-GeV dark matter models using a variety of target materials. Here we report our recent progress on instrumenting a superfluid $^4$He target mass with a transition-edge sensor based calorimeter to detect both atomic signals (scintillation) and $^4$He quasiparticle (phonon and roton) excitations. The sensitivity of HeRALD to th…
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The SPICE/HeRALD collaboration is performing R&D to enable studies of sub-GeV dark matter models using a variety of target materials. Here we report our recent progress on instrumenting a superfluid $^4$He target mass with a transition-edge sensor based calorimeter to detect both atomic signals (scintillation) and $^4$He quasiparticle (phonon and roton) excitations. The sensitivity of HeRALD to the critical "quantum evaporation" signal from $^4$He quasiparticles requires us to block the superfluid film flow to the calorimeter. We have developed a heat-free film-blocking method employing an unoxidized Cs film, which we implemented in a prototype "HeRALD v0.1" detector of ~10 g target mass. This article reports initial studies of the atomic and quasiparticle signal channels. A key result of this work is the measurement of the quantum evaporation channel's gain of 0.15 $\pm$ 0.01, which will enable $^4$He-based dark matter experiments in the near term. With this gain the HeRALD detector reported here has an energy threshold of 145 eV at 5 sigma, which would be sensitive to dark matter masses down to 220 MeV/c$^2$.
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Submitted 4 November, 2024; v1 submitted 21 July, 2023;
originally announced July 2023.
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Streamlined Pin-Ridge-Filter Design for Single-energy Proton FLASH Planning
Authors:
Chaoqiong Ma,
Jun Zhou,
Chih-Wei Chang,
Yinan Wang,
Pretesh R. Patel,
David S. Yu,
Sibo Tian,
Xiaofeng Yang
Abstract:
Purpose: This study explored the feasibility of a streamlined pin-shaped ridge filter (pin-RF) design for single-energy proton FLASH planning. Methods: An inverse planning framework integrated within a TPS was established for FLASH planning. The framework involves generating a IMPT plan based on downstream energy modulation strategy (IMPT-DS), followed by a nested spot reduction process to iterati…
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Purpose: This study explored the feasibility of a streamlined pin-shaped ridge filter (pin-RF) design for single-energy proton FLASH planning. Methods: An inverse planning framework integrated within a TPS was established for FLASH planning. The framework involves generating a IMPT plan based on downstream energy modulation strategy (IMPT-DS), followed by a nested spot reduction process to iteratively reduce the total number of pencil beam directions (PBDs) and energy layers along each PBD for the IMPT-DS plan. The IMPT-DS plan is then translated into the pin-RFs for a single-energy IMPT plan (IMPT-RF). The framework was validated on three lung cases, quantifying the FLASH dose of the IMPT-RF plan using the FLASH effectiveness model and comparing it with the reference dose of a conventional IMPT plan to assess the clinical benefit of the FLASH planning technique. Results: The IMPT-RF plans closely matched the corresponding IMPT-DS plans in high dose conformity, with minimal changes in V7Gy and V7.4Gy for the lung (< 5%) and small increases in Dmax for other OARs (< 3.2 Gy). Comparing the FLASH doses to the doses of corresponding IMPT-RF plans, drastic reductions of up to ~33% were observed in Dmax for OARs in the high-to-moderate-dose regions with negligible changes in Dmax for OARs in low-dose regions. Positive clinical benefits were observed with notable reductions of 18.4-33.0% in Dmax for OARs in the high-dose regions. However, in the moderate-to-low-dose regions, only marginal positive or even negative clinical benefit for OARs were observed, such as increased lung V7Gy and V7.4Gy (16.4-38.9%). Conclusions: A streamlined pin-RF design for single-energy proton FLASH planning was validated, revealing positive clinical benefits for OARs in the high dose regions. The coarsened design of the pin-RF demonstrates potential cost efficiency and efficient production.
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Submitted 3 October, 2023; v1 submitted 21 June, 2023;
originally announced June 2023.
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Results from a Prototype TES Detector for the Ricochet Experiment
Authors:
Ricochet Collaboration,
C. Augier,
G. Baulieu,
V. Belov,
L. Bergé,
J. Billard,
G. Bres,
J-. L. Bret,
A. Broniatowski,
M. Calvo,
A. Cazes,
D. Chaize,
M. Chala,
C. L. Chang,
M. Chapellier,
L. Chaplinsky,
G. Chemin,
R. Chen,
J. Colas,
E. Cudmore,
M. De Jesus,
P. de Marcillac,
L. Dumoulin,
O. Exshaw,
S. Ferriol
, et al. (66 additional authors not shown)
Abstract:
Coherent elastic neutrino-nucleus scattering (CE$ν$NS) offers valuable sensitivity to physics beyond the Standard Model. The Ricochet experiment will use cryogenic solid-state detectors to perform a precision measurement of the CE$ν$NS spectrum induced by the high neutrino flux from the Institut Laue-Langevin nuclear reactor. The experiment will employ an array of detectors, each with a mass of…
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Coherent elastic neutrino-nucleus scattering (CE$ν$NS) offers valuable sensitivity to physics beyond the Standard Model. The Ricochet experiment will use cryogenic solid-state detectors to perform a precision measurement of the CE$ν$NS spectrum induced by the high neutrino flux from the Institut Laue-Langevin nuclear reactor. The experiment will employ an array of detectors, each with a mass of $\sim$30 g and a targeted energy threshold of 50 eV. Nine of these detectors (the "Q-Array") will be based on a novel Transition-Edge Sensor (TES) readout style, in which the TES devices are thermally coupled to the absorber using a gold wire bond. We present initial characterization of a Q-Array-style detector using a 1 gram silicon absorber, obtaining a baseline root-mean-square resolution of less than 40 eV.
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Submitted 12 January, 2024; v1 submitted 28 April, 2023;
originally announced April 2023.
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CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model
Authors:
Junbo Peng,
Richard L. J. Qiu,
Jacob F Wynne,
Chih-Wei Chang,
Shaoyan Pan,
Tonghe Wang,
Justin Roper,
Tian Liu,
Pretesh R. Patel,
David S. Yu,
Xiaofeng Yang
Abstract:
Background: Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, making it an ideal option for adaptive radiotherapy (ART) replanning. However, the presence of severe artifacts and inaccurate Hounsfield unit (HU) values prevent its use for quantitative applications such as organ segmentati…
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Background: Daily or weekly cone-beam computed tomography (CBCT) scans are commonly used for accurate patient positioning during the image-guided radiotherapy (IGRT) process, making it an ideal option for adaptive radiotherapy (ART) replanning. However, the presence of severe artifacts and inaccurate Hounsfield unit (HU) values prevent its use for quantitative applications such as organ segmentation and dose calculation. To enable the clinical practice of online ART, it is crucial to obtain CBCT scans with a quality comparable to that of a CT scan. Purpose: This work aims to develop a conditional diffusion model to perform image translation from the CBCT to the CT domain for the image quality improvement of CBCT. Methods: The proposed method is a conditional denoising diffusion probabilistic model (DDPM) that utilizes a time-embedded U-net architecture with residual and attention blocks to gradually transform standard Gaussian noise to the target CT distribution conditioned on the CBCT. The model was trained on deformed planning CT (dpCT) and CBCT image pairs, and its feasibility was verified in brain patient study and head-and-neck (H&N) patient study. The performance of the proposed algorithm was evaluated using mean absolute error (MAE), peak signal-to-noise ratio (PSNR) and normalized cross-correlation (NCC) metrics on generated synthetic CT (sCT) samples. The proposed method was also compared to four other diffusion model-based sCT generation methods. Conclusions: The proposed conditional DDPM method can generate sCT from CBCT with accurate HU numbers and reduced artifacts, enabling accurate CBCT-based organ segmentation and dose calculation for online ART.
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Submitted 5 March, 2023;
originally announced March 2023.
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A portable and high intensity 24 keV neutron source based on $^{124}$Sb-$^{9}$Be photoneutrons and an iron filter
Authors:
A. Biekert,
C. Chang,
L. Chaplinsky,
C. W. Fink,
W. D. Frey,
M. Garcia-Sciveres,
W. Guo,
S. A. Hertel,
X. Li,
J. Lin,
M. Lisovenko,
R. Mahapatra,
D. N. McKinsey,
S. Mehrotra,
N. Mirabolfathi,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Reed,
R. K. Romani,
B. Sadoulet,
R. J. Smith,
P. Sorensen,
B. Suerfu,
A. Suzuki
, et al. (5 additional authors not shown)
Abstract:
A portable monoenergetic 24 keV neutron source based on the $^{124}$Sb-$^9$Be photoneutron reaction and an iron filter has been constructed and characterized. The coincidence of the neutron energy from SbBe and the low interaction cross-section with iron (mean free path up to 29 cm) makes pure iron specially suited to shield against gamma rays from $^{124}$Sb decays while letting through the neutr…
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A portable monoenergetic 24 keV neutron source based on the $^{124}$Sb-$^9$Be photoneutron reaction and an iron filter has been constructed and characterized. The coincidence of the neutron energy from SbBe and the low interaction cross-section with iron (mean free path up to 29 cm) makes pure iron specially suited to shield against gamma rays from $^{124}$Sb decays while letting through the neutrons. To increase the $^{124}$Sb activity and thus the neutron flux, a $>$1 GBq $^{124}$Sb source was produced by irradiating a natural Sb metal pellet with a high flux of thermal neutrons in a nuclear reactor. The design of the source shielding structure makes for easy transportation and deployment. A hydrogen gas proportional counter is used to characterize the neutrons emitted by the source and a NaI detector is used for gamma background characterization. At the exit opening of the neutron beam, the characterization determined the neutron flux in the energy range 20-25 keV to be 5.36$\pm$0.20 neutrons per cm$^2$ per second and the total gamma flux to be 213$\pm$6 gammas per cm$^2$ per second (numbers scaled to 1 GBq activity of the $^{124}$Sb source). A liquid scintillator detector is demonstrated to be sensitive to neutrons with incident kinetic energies from 8 to 17 keV, so it can be paired with the source as a backing detector for neutron scattering calibration experiments. This photoneutron source provides a good tool for in-situ low energy nuclear recoil calibration for dark matter experiments and coherent elastic neutrino-nucleus scattering experiments.
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Submitted 7 February, 2023;
originally announced February 2023.
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Benchtop magnetic shielding for benchmarking atomic magnetometers
Authors:
P. J. Hobson,
N. Holmes,
P. Patel,
J. Chalmers,
B. Styles,
C. Morley,
A. Davis,
M. Packer,
T. X. Smith,
S. Raudonyte,
D. Holmes,
R. Harrison,
D. Woolger,
D. Sims,
M. J. Brookes,
R. W. Bowtell,
T. M. Fromhold
Abstract:
Here, a benchtop hybrid magnetic shield containing four mumetal cylinders and nine internal flexible printed circuit boards is designed, constructed, tested, and operated. The shield is designed specifically as a test-bed for building and operating ultra-sensitive quantum magnetometers. The geometry and spacing of the mumetal cylinders are optimized to maximize shielding efficiency while maintaini…
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Here, a benchtop hybrid magnetic shield containing four mumetal cylinders and nine internal flexible printed circuit boards is designed, constructed, tested, and operated. The shield is designed specifically as a test-bed for building and operating ultra-sensitive quantum magnetometers. The geometry and spacing of the mumetal cylinders are optimized to maximize shielding efficiency while maintaining Johnson noise $<15$ fT/$\sqrt{}$Hz. Experimental measurements at the shield's center show passive shielding efficiency of $\left(1.0\pm0.1\right){\times}10^6$ for a $0.2$ Hz oscillating field applied along the shield's axis. The nine flexible printed circuit boards generate three uniform fields, which all deviate from perfect uniformity by ${\leq}0.5$% along $50$% of the inner shield axis, and five linear field gradients and one second-order gradient, which all deviate by ${\leq}4$% from perfect linearity and curvature, respectively, over measured target regions. Together, the target field amplitudes are adjusted to minimize the remnant static field along $40$% of the inner shield axis, as mapped using an atomic magnetometer. In this region, the active null reduces the norm of the magnitudes of the three uniform fields and six gradients by factors of $19.5$ and $19.8$, respectively, thereby reducing the total static field from $1.68$ nT to $0.23$ nT.
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Submitted 24 March, 2023; v1 submitted 27 October, 2022;
originally announced October 2022.
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Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory
Authors:
Yupei Zhang,
Xianjin Dai,
Zhen Tian,
Yang Lei,
Jacob F. Wynne,
Pretesh Patel,
Yue Chen,
Tian Liu,
Xiaofeng Yang
Abstract:
This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention network, a mask region-based convolutional neural network (mask R-CNN), and a long short-term memory (LSTM) network. The attention network learns a mapping from a US image to a suspected area of landmark motion in order t…
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This study proposed a deep learning-based tracking method for ultrasound (US) image-guided radiation therapy. The proposed cascade deep learning model is composed of an attention network, a mask region-based convolutional neural network (mask R-CNN), and a long short-term memory (LSTM) network. The attention network learns a mapping from a US image to a suspected area of landmark motion in order to reduce the search region. The mask R-CNN then produces multiple region-of-interest (ROI) proposals in the reduced region and identifies the proposed landmark via three network heads: bounding box regression, proposal classification, and landmark segmentation. The LSTM network models the temporal relationship among the successive image frames for bounding box regression and proposal classification. To consolidate the final proposal, a selection method is designed according to the similarities between sequential frames. The proposed method was tested on the liver US tracking datasets used in the Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015 challenges, where the landmarks were annotated by three experienced observers to obtain their mean positions. Five-fold cross-validation on the 24 given US sequences with ground truths shows that the mean tracking error for all landmarks is 0.65+/-0.56 mm, and the errors of all landmarks are within 2 mm. We further tested the proposed model on 69 landmarks from the testing dataset that has a similar image pattern to the training pattern, resulting in a mean tracking error of 0.94+/-0.83 mm. Our experimental results have demonstrated the feasibility and accuracy of our proposed method in tracking liver anatomic landmarks using US images, providing a potential solution for real-time liver tracking for active motion management during radiation therapy.
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Submitted 14 September, 2022;
originally announced September 2022.
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Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy
Authors:
Huiqiao Xie,
Yang Lei,
Yabo Fu,
Tonghe Wang,
Justin Roper,
Jeffrey D. Bradley,
Pretesh Patel,
Tian Liu,
Xiaofeng Yang
Abstract:
CBCTs in image-guided radiotherapy provide crucial anatomy information for patient setup and plan evaluation. Longitudinal CBCT image registration could quantify the inter-fractional anatomic changes. The purpose of this study is to propose an unsupervised deep learning based CBCT-CBCT deformable image registration. The proposed deformable registration workflow consists of training and inference s…
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CBCTs in image-guided radiotherapy provide crucial anatomy information for patient setup and plan evaluation. Longitudinal CBCT image registration could quantify the inter-fractional anatomic changes. The purpose of this study is to propose an unsupervised deep learning based CBCT-CBCT deformable image registration. The proposed deformable registration workflow consists of training and inference stages that share the same feed-forward path through a spatial transformation-based network (STN). The STN consists of a global generative adversarial network (GlobalGAN) and a local GAN (LocalGAN) to predict the coarse- and fine-scale motions, respectively. The network was trained by minimizing the image similarity loss and the deformable vector field (DVF) regularization loss without the supervision of ground truth DVFs. During the inference stage, patches of local DVF were predicted by the trained LocalGAN and fused to form a whole-image DVF. The local whole-image DVF was subsequently combined with the GlobalGAN generated DVF to obtain final DVF. The proposed method was evaluated using 100 fractional CBCTs from 20 abdominal cancer patients in the experiments and 105 fractional CBCTs from a cohort of 21 different abdominal cancer patients in a holdout test. Qualitatively, the registration results show great alignment between the deformed CBCT images and the target CBCT image. Quantitatively, the average target registration error (TRE) calculated on the fiducial markers and manually identified landmarks was 1.91+-1.11 mm. The average mean absolute error (MAE), normalized cross correlation (NCC) between the deformed CBCT and target CBCT were 33.42+-7.48 HU, 0.94+-0.04, respectively. This promising registration method could provide fast and accurate longitudinal CBCT alignment to facilitate inter-fractional anatomic changes analysis and prediction.
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Submitted 29 August, 2022;
originally announced August 2022.
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A Stress Induced Source of Phonon Bursts and Quasiparticle Poisoning
Authors:
Robin Anthony-Petersen,
Andreas Biekert,
Raymond Bunker,
Clarence L. Chang,
Yen-Yung Chang,
Luke Chaplinsky,
Eleanor Fascione,
Caleb W. Fink,
Maurice Garcia-Sciveres,
Richard Germond,
Wei Guo,
Scott A. Hertel,
Ziqing Hong,
Noah Kurinsky,
Xinran Li,
Junsong Lin,
Marharyta Lisovenko,
Rupak Mahapatra,
Adam Mayer,
Daniel N. McKinsey,
Siddhant Mehrotra,
Nader Mirabolfathi,
Brian Neblosky,
William A. Page,
Pratyush K. Patel
, et al. (21 additional authors not shown)
Abstract:
The performance of superconducting qubits is degraded by a poorly characterized set of energy sources breaking the Cooper pairs responsible for superconductivity, creating a condition often called ``quasiparticle poisoning". Both superconducting qubits and low threshold dark matter calorimeters have observed excess bursts of quasiparticles or phonons that decrease in rate with time. Here, we show…
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The performance of superconducting qubits is degraded by a poorly characterized set of energy sources breaking the Cooper pairs responsible for superconductivity, creating a condition often called ``quasiparticle poisoning". Both superconducting qubits and low threshold dark matter calorimeters have observed excess bursts of quasiparticles or phonons that decrease in rate with time. Here, we show that a silicon crystal glued to its holder exhibits a rate of low-energy phonon events that is more than two orders of magnitude larger than in a functionally identical crystal suspended from its holder in a low-stress state. The excess phonon event rate in the glued crystal decreases with time since cooldown, consistent with a source of phonon bursts which contributes to quasiparticle poisoning in quantum circuits and the low-energy events observed in cryogenic calorimeters. We argue that relaxation of thermally induced stress between the glue and crystal is the source of these events.
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Submitted 14 August, 2024; v1 submitted 4 August, 2022;
originally announced August 2022.
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Fast neutron background characterization of the future Ricochet experiment at the ILL research nuclear reactor
Authors:
C. Augier,
G. Baulieu,
V. Belov,
L. Berge,
J. Billard,
G. Bres,
J. -L. Bret,
A. Broniatowski,
M. Calvo,
A. Cazes,
D. Chaize,
M. Chapellier,
L. Chaplinsky,
G. Chemin,
R. Chen,
J. Colas,
M. De Jesus,
P. de Marcillac,
L. Dumoulin,
O. Exshaw,
S. Ferriol,
E. Figueroa-Feliciano,
J. -B. Filippini,
J. A. Formaggio,
S. Fuard
, et al. (58 additional authors not shown)
Abstract:
The future Ricochet experiment aims at searching for new physics in the electroweak sector by providing a high precision measurement of the Coherent Elastic Neutrino-Nucleus Scattering (CENNS) process down to the sub-100 eV nuclear recoil energy range. The experiment will deploy a kg-scale low-energy-threshold detector array combining Ge and Zn target crystals 8.8 meters away from the 58 MW resear…
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The future Ricochet experiment aims at searching for new physics in the electroweak sector by providing a high precision measurement of the Coherent Elastic Neutrino-Nucleus Scattering (CENNS) process down to the sub-100 eV nuclear recoil energy range. The experiment will deploy a kg-scale low-energy-threshold detector array combining Ge and Zn target crystals 8.8 meters away from the 58 MW research nuclear reactor core of the Institut Laue Langevin (ILL) in Grenoble, France. Currently, the Ricochet collaboration is characterizing the backgrounds at its future experimental site in order to optimize the experiment's shielding design. The most threatening background component, which cannot be actively rejected by particle identification, consists of keV-scale neutron-induced nuclear recoils. These initial fast neutrons are generated by the reactor core and surrounding experiments (reactogenics), and by the cosmic rays producing primary neutrons and muon-induced neutrons in the surrounding materials. In this paper, we present the Ricochet neutron background characterization using $^3$He proportional counters which exhibit a high sensitivity to thermal, epithermal and fast neutrons. We compare these measurements to the Ricochet Geant4 simulations to validate our reactogenic and cosmogenic neutron background estimations. Eventually, we present our estimated neutron background for the future Ricochet experiment and the resulting CENNS detection significance.
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Submitted 2 August, 2022;
originally announced August 2022.
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A backing detector for order-keV neutrons
Authors:
A. Biekert,
L. Chaplinsky,
C. W. Fink,
M. Garcia-Sciveres,
W. C. Gillis,
W. Guo,
S. A. Hertel,
G. Heuermann,
X. Li,
J. Lin,
R. Mahapatra,
D. N. McKinsey,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Platt,
M. Pyle,
R. K. Romani,
A. Serafin,
R. J. Smith,
B. Suerfu,
V. Velan,
G. Wang,
Y. Wang,
S. L. Watkins
, et al. (1 additional authors not shown)
Abstract:
We have designed and tested a large-area (0.15~m$^2$) neutron detector based on neutron capture on \ce{^{6}Li}. The neutron detector design has been optimized for the purpose of tagging the scattering angle of keV-scale neutrons. These neutron detectors would be employed to calibrate the low-energy ($<$100 eV) nuclear recoil in detectors for dark matter and coherent elastic neutrino nucleus scatte…
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We have designed and tested a large-area (0.15~m$^2$) neutron detector based on neutron capture on \ce{^{6}Li}. The neutron detector design has been optimized for the purpose of tagging the scattering angle of keV-scale neutrons. These neutron detectors would be employed to calibrate the low-energy ($<$100 eV) nuclear recoil in detectors for dark matter and coherent elastic neutrino nucleus scattering (CE$ν$NS). We describe the design, construction, and characterization of a prototype. The prototype is designed to have a tagging efficiency of $\sim$25\% at the relevant $\mathcal{O}$(keV) neutron energies, and with a mean capture time of $\sim$17$~μ$s. The prototype was characterized using a \ce{^{252}Cf} neutron source and agreement with the simulation was observed within a few percent level.
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Submitted 9 March, 2022;
originally announced March 2022.
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EXCESS workshop: Descriptions of rising low-energy spectra
Authors:
P. Adari,
A. Aguilar-Arevalo,
D. Amidei,
G. Angloher,
E. Armengaud,
C. Augier,
L. Balogh,
S. Banik,
D. Baxter,
C. Beaufort,
G. Beaulieu,
V. Belov,
Y. Ben Gal,
G. Benato,
A. Benoît,
A. Bento,
L. Bergé,
A. Bertolini,
R. Bhattacharyya,
J. Billard,
I. M. Bloch,
A. Botti,
R. Breier,
G. Bres,
J-. L. Bret
, et al. (281 additional authors not shown)
Abstract:
Many low-threshold experiments observe sharply rising event rates of yet unknown origins below a few hundred eV, and larger than expected from known backgrounds. Due to the significant impact of this excess on the dark matter or neutrino sensitivity of these experiments, a collective effort has been started to share the knowledge about the individual observations. For this, the EXCESS Workshop was…
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Many low-threshold experiments observe sharply rising event rates of yet unknown origins below a few hundred eV, and larger than expected from known backgrounds. Due to the significant impact of this excess on the dark matter or neutrino sensitivity of these experiments, a collective effort has been started to share the knowledge about the individual observations. For this, the EXCESS Workshop was initiated. In its first iteration in June 2021, ten rare event search collaborations contributed to this initiative via talks and discussions. The contributing collaborations were CONNIE, CRESST, DAMIC, EDELWEISS, MINER, NEWS-G, NUCLEUS, RICOCHET, SENSEI and SuperCDMS. They presented data about their observed energy spectra and known backgrounds together with details about the respective measurements. In this paper, we summarize the presented information and give a comprehensive overview of the similarities and differences between the distinct measurements. The provided data is furthermore publicly available on the workshop's data repository together with a plotting tool for visualization.
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Submitted 4 March, 2022; v1 submitted 10 February, 2022;
originally announced February 2022.
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Ricochet Progress and Status
Authors:
Ricochet Collaboration,
G. Beaulieu,
V. Belov,
L. Berge,
J. Billard,
G. Bres,
J-. L. Bret,
A. Broniatowski,
M. Calvo,
A. Cazes,
D. Chaize,
M. Chapellier,
L. Chaplinsky,
G. Chemin,
R. Chen,
J. Colas,
M. De Jesus,
P. de Marcillac,
L. Dumoulin,
O. Exshaw,
S. Ferriol,
E. Figueroa-Feliciano,
J. B. Filippini,
J. A. Formaggio,
S. Fuard
, et al. (55 additional authors not shown)
Abstract:
We present an overview of recent progress towards the Ricochet coherent elastic neutrino nucleus scattering CE$ν$NS experiment. The ILL research reactor in Grenoble, France has been selected as the experiment site, after in situ studies of vibration and particle backgrounds. We present background rate estimates specific to that site, along with descriptions of the planned CryoCube and Q-Array dete…
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We present an overview of recent progress towards the Ricochet coherent elastic neutrino nucleus scattering CE$ν$NS experiment. The ILL research reactor in Grenoble, France has been selected as the experiment site, after in situ studies of vibration and particle backgrounds. We present background rate estimates specific to that site, along with descriptions of the planned CryoCube and Q-Array detector payloads.
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Submitted 12 November, 2021;
originally announced November 2021.
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Experiments conducted in the burning plasma regime with inertial fusion implosions
Authors:
J. S. Ross,
J. E. Ralph,
A. B. Zylstra,
A. L. Kritcher,
H. F. Robey,
C. V. Young,
O. A. Hurricane,
D. A. Callahan,
K. L. Baker,
D. T. Casey,
T. Doeppner,
L. Divol,
M. Hohenberger,
S. Le Pape,
A. Pak,
P. K. Patel,
R. Tommasini,
S. J. Ali,
P. A. Amendt,
L. J. Atherton,
B. Bachmann,
D. Bailey,
L. R. Benedetti,
L. Berzak Hopkins,
R. Betti
, et al. (127 additional authors not shown)
Abstract:
An experimental program is currently underway at the National Ignition Facility (NIF) to compress deuterium and tritium (DT) fuel to densities and temperatures sufficient to achieve fusion and energy gain. The primary approach being investigated is indirect drive inertial confinement fusion (ICF), where a high-Z radiation cavity (a hohlraum) is heated by lasers, converting the incident energy into…
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An experimental program is currently underway at the National Ignition Facility (NIF) to compress deuterium and tritium (DT) fuel to densities and temperatures sufficient to achieve fusion and energy gain. The primary approach being investigated is indirect drive inertial confinement fusion (ICF), where a high-Z radiation cavity (a hohlraum) is heated by lasers, converting the incident energy into x-ray radiation which in turn drives the DT fuel filled capsule causing it to implode. Previous experiments reported DT fuel gain exceeding unity [O.A. Hurricane et al., Nature 506, 343 (2014)] and then exceeding the kinetic energy of the imploding fuel [S. Le Pape et al., Phys. Rev. Lett. 120, 245003 (2018)]. We report on recent experiments that have achieved record fusion neutron yields on NIF, greater than 100 kJ with momentary fusion powers exceeding 1PW, and have for the first time entered the burning plasma regime where fusion alpha-heating of the fuel exceeds the energy delivered to the fuel via compression. This was accomplished by increasing the size of the high-density carbon (HDC) capsule, increasing energy coupling, while controlling symmetry and implosion design parameters. Two tactics were successful in controlling the radiation flux symmetry and therefore the implosion symmetry: transferring energy between laser cones via plasma waves, and changing the shape of the hohlraum. In conducting these experiments, we controlled for known sources of degradation. Herein we show how these experiments were performed to produce record performance, and demonstrate the data fidelity leading us to conclude that these shots have entered the burning plasma regime.
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Submitted 8 November, 2021;
originally announced November 2021.
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Scintillation yield from electronic and nuclear recoils in superfluid $^4$He
Authors:
SPICE/HeRALD Collaboration,
:,
A. Biekert,
C. Chang,
C. W. Fink,
M. Garcia-Sciveres,
E. C. Glazer,
W. Guo,
S. A. Hertel,
S. Kravitz,
J. Lin,
M. Lisovenko,
R. Mahapatra,
D. N. McKinsey,
J. S. Nguyen,
V. Novosad,
W. Page,
P. K. Patel,
B. Penning,
H. D. Pinckney,
M. Pyle,
R. K. Romani,
A. S. Seilnacht,
A. Serafin,
R. J. Smith
, et al. (9 additional authors not shown)
Abstract:
Superfluid $^4$He is a promising target material for direct detection of light ($<$ 1 GeV) dark matter. Possible signal channels available for readout in this medium include prompt photons, triplet excimers, and roton and phonon quasiparticles. The relative yield of these signals has implications for the sensitivity and discrimination power of a superfluid $^4$He dark matter detector. Using a 16~c…
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Superfluid $^4$He is a promising target material for direct detection of light ($<$ 1 GeV) dark matter. Possible signal channels available for readout in this medium include prompt photons, triplet excimers, and roton and phonon quasiparticles. The relative yield of these signals has implications for the sensitivity and discrimination power of a superfluid $^4$He dark matter detector. Using a 16~cm$^3$ volume of 1.75~K superfluid $^4$He read out by six immersed photomultiplier tubes, we measured the scintillation from electronic recoils ranging between 36.3 and 185 keV$_\mathrm{ee}$, yielding a mean signal size of $1.25^{+0.03}_{-0.03}$~phe/keV$_\mathrm{ee}$, and nuclear recoils from 53.2 to 1090 keV$_\mathrm{nr}$. We compare the results of our relative scintillation yield measurements to an existing semiempirical model based on helium-helium and electron-helium interaction cross sections. We also study the behavior of delayed scintillation components as a function of recoil type and energy, a further avenue for signal discrimination in superfluid $^4$He.
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Submitted 14 May, 2022; v1 submitted 4 August, 2021;
originally announced August 2021.
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Crystallization of Bosonic Quantum Hall States
Authors:
Biswaroop Mukherjee,
Airlia Shaffer,
Parth B. Patel,
Zhenjie Yan,
Cedric C. Wilson,
Valentin Crépel,
Richard J. Fletcher,
Martin Zwierlein
Abstract:
The dominance of interactions over kinetic energy lies at the heart of strongly correlated quantum matter, from fractional quantum Hall liquids, to atoms in optical lattices and twisted bilayer graphene. Crystalline phases often compete with correlated quantum liquids, and transitions between them occur when the energy cost of forming a density wave approaches zero. A prime example occurs for elec…
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The dominance of interactions over kinetic energy lies at the heart of strongly correlated quantum matter, from fractional quantum Hall liquids, to atoms in optical lattices and twisted bilayer graphene. Crystalline phases often compete with correlated quantum liquids, and transitions between them occur when the energy cost of forming a density wave approaches zero. A prime example occurs for electrons in high magnetic fields, where the instability of quantum Hall liquids towards a Wigner crystal is heralded by a roton-like softening of density modulations at the magnetic length. Remarkably, interacting bosons in a gauge field are also expected to form analogous liquid and crystalline states. However, combining interactions with strong synthetic magnetic fields has been a challenge for experiments on bosonic quantum gases. Here, we study the purely interaction-driven dynamics of a Landau gauge Bose-Einstein condensate in and near the lowest Landau level (LLL). We observe a spontaneous crystallization driven by condensation of magneto-rotons, excitations visible as density modulations at the magnetic length. Increasing the cloud density smoothly connects this behaviour to a quantum version of the Kelvin-Helmholtz hydrodynamic instability, driven by the sheared internal flow profile of the rapidly rotating condensate. At long times the condensate self-organizes into a persistent array of droplets, separated by vortex streets, which are stabilized by a balance of interactions and effective magnetic forces.
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Submitted 21 June, 2021;
originally announced June 2021.
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Super-resolution linear optical imaging in the far field
Authors:
A. A. Pushkina,
G. Maltese,
J. I. Costa-Filho,
P. Patel,
A. I. Lvovsky
Abstract:
The resolution of optical imaging devices is ultimately limited by the diffraction of light. To circumvent this limit, modern super-resolution microscopy techniques employ active interaction with the object by exploiting its optical nonlinearities, nonclassical properties of the illumination beam, or near-field probing. Thus, they are not applicable whenever such interaction is not possible, for e…
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The resolution of optical imaging devices is ultimately limited by the diffraction of light. To circumvent this limit, modern super-resolution microscopy techniques employ active interaction with the object by exploiting its optical nonlinearities, nonclassical properties of the illumination beam, or near-field probing. Thus, they are not applicable whenever such interaction is not possible, for example, in astronomy or non-invasive biological imaging. Far-field, linear-optical super-resolution techniques based on passive analysis of light coming from the object would cover these gaps. In this paper, we present the first proof-of-principle demonstration of such a technique. It works by accessing information about spatial correlations of the image optical field and, hence, about the object itself via measuring projections onto Hermite-Gaussian transverse spatial modes. With a basis of 21 spatial modes in both transverse dimensions, we perform two-dimensional imaging with twofold resolution enhancement beyond the diffraction limit.
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Submitted 2 August, 2021; v1 submitted 30 April, 2021;
originally announced May 2021.
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A Nonlinear Mechanics-based Virtual Coiling Method For Intracranial Aneurysm
Authors:
Seyyed Mostafa Mousavi Janbeh Sarayi,
Robert J. Damiano,
Palak Patel,
Gary Dargush,
Adnan H. Siddiqui,
Hui Meng
Abstract:
Enodvascular coils treat intracranial aneurysms (IAs) by causing them to occlude by thrombosis. Ideally, coiled IAs eventually occlude in the long-term. However, 20.8% are found incompletely occluded at treatment follow-up. Computer simulations of coiling and its effect on aneurysmal flow could help clinicians predict treatment outcomes a priori, but it requires accurate modeling of coils and thei…
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Enodvascular coils treat intracranial aneurysms (IAs) by causing them to occlude by thrombosis. Ideally, coiled IAs eventually occlude in the long-term. However, 20.8% are found incompletely occluded at treatment follow-up. Computer simulations of coiling and its effect on aneurysmal flow could help clinicians predict treatment outcomes a priori, but it requires accurate modeling of coils and their deployment procedure. In addition to being accurate, coiling simulations must be efficient to be used as a bedside tool. To date, several virtual coiling techniques have been developed, but they lack either accuracy or efficiency. For example, finite-element-based virtual coiling methods model the mechanics of coiling and are highly accurate, at the expense of high computational cost (and thus low efficiency). Geometric-rule-based coiling techniques ignore the mechanics and therefore are computationally efficient, but may produce unrealistic coil deployments. In order to develop a virtual coiling method that combines accuracy and efficiency, we propose a novel virtual coiling algorithm that models coil deployment with nonlinear mechanics and nonlinear contact. Our approach is potentially more accurate than existing "simple" techniques because we model coil mechanics. It is also potentially faster than finite-element techniques because it models the most time-consuming part of these algorithms-namely contact resolution-with a novel formulation that resolves contact faster with exponential functions. Moreover, we model the coil's pre-shape as well as coil packaging into the catheter, both of which are important to model but are lacking from most existing techniques.
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Submitted 11 September, 2020;
originally announced September 2020.