PSR J1709-4429’s Proper Motion and its Relationship to SNR G343.1-2.3

Kavli Affiliate: Roger W. Romani | First 5 Authors: Martijn de Vries, Roger W. Romani, Oleg Kargaltsev, George Pavlov, Bettina Posselt | Summary: We have obtained a deep 670 ks CXO ACIS image of the remarkable pulsar wind nebula (PWN) of PSR J1709-4429, in 4 epochs during 2018-2019. Comparison with an archival 2004 data set […]


Continue.. PSR J1709-4429’s Proper Motion and its Relationship to SNR G343.1-2.3

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin | Summary: We investigate the use of approximate Bayesian neural networks (BNNs) in modeling hundreds of time-delay gravitational lenses for Hubble constant ($H_0$) determination. Our BNN was trained on synthetic HST-quality images of […]


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Sunspot simulations: penumbra formation and the fluting instability

Kavli Affiliate: Robert Cameron | First 5 Authors: Mayukh Panja, Robert Cameron, Sami K. Solanki, , | Summary: The fluting instability has been suggested as the driver of the subsurface structure of sunspot flux tubes. We conducted a series of numerical experiments where we used flux tubes with different initial curvatures to study the effect […]


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Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique

Kavli Affiliate: C. M. Ignarra | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: This paper presents a novel technique for mitigating electrode backgrounds that limit the sensitivity of searches for low-mass dark matter (DM) using xenon time projection chambers. In the LUX detector, signatures of […]


Continue.. Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique

Constraints on Lightly Ionizing Particles from CDMSlite

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, I. Alkhatib, D. W. P. Amaral, T. Aralis, T. Aramaki | Summary: The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) achieved efficient detection of very small recoil energies in its germanium target, resulting in sensitivity to Lightly Ionizing Particles (LIPs) in a […]


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Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data

Kavli Affiliate: Aaron Roodman | First 5 Authors: Angela Chen, Dragan Huterer, Sujeong Lee, Agnès Ferté, Noah Weaverdyck | Summary: We study a phenomenological class of models where dark matter converts to dark radiation in the low redshift epoch. This class of models, dubbed DMDR, characterizes the evolution of comoving dark matter density with two […]


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Effect on Dark Matter Exclusion Limits from New Silicon Photoelectric Absorption Measurements

Kavli Affiliate: Blas Cabrera | First 5 Authors: Belina von Krosigk, Matthew J. Wilson, Chris Stanford, Blas Cabrera, Robert Calkins | Summary: Recent breakthroughs in cryogenic silicon detector technology allow for the observation of single electron-hole pairs released via particle interactions within the target material. This implies sensitivity to energy depositions as low as the […]


Continue.. Effect on Dark Matter Exclusion Limits from New Silicon Photoelectric Absorption Measurements

Effect on Dark Matter Exclusion Limits from New Silicon Photoelectric Absorption Measurements

Kavli Affiliate: Blas Cabrera | First 5 Authors: Belina von Krosigk, Matthew J. Wilson, Chris Stanford, Blas Cabrera, Robert Calkins | Summary: Recent breakthroughs in cryogenic silicon detector technology allow for the observation of single electron-hole pairs released via particle interactions within the target material. This implies sensitivity to energy depositions as low as the […]


Continue.. Effect on Dark Matter Exclusion Limits from New Silicon Photoelectric Absorption Measurements

Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman | Summary: In the past few years, approximate Bayesian Neural Networks (BNNs) have demonstrated the ability to produce statistically consistent posteriors on a wide range of inference problems at unprecedented speed and scale. However, […]


Continue.. Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing