A Search for Low-mass Dark Matter via Bremsstrahlung Radiation and the Migdal Effect in SuperCDMS

Kavli Affiliate: Paul Brink | First 5 Authors: SuperCDMS Collaboration, Musaab Al-Bakry, Imran Alkhatib, Dorian Praia do Amaral, Taylor Aralis | Summary: In this paper, we present a re-analysis of SuperCDMS data using a profile likelihood approach to search for sub-GeV dark matter particles (DM) through two inelastic scattering channels: bremsstrahlung radiation and the Migdal […]


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A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Kavli Affiliate: T. A. Shutt | First 5 Authors: J. Aalbers, K. Abe, V. Aerne, F. Agostini, S. Ahmed Maouloud | Summary: The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter […]


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From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Sebastian Wagner-Carena, Jelle Aalbers, Simon Birrer, Ethan O. Nadler, Elise Darragh-Ford | Summary: Constraining the distribution of small-scale structure in our universe allows us to probe alternatives to the cold dark matter paradigm. Strong gravitational lensing offers a unique window into small dark matter halos ($<10^{10} […]


Continue.. From Images to Dark Matter: End-To-End Inference of Substructure From Hundreds of Strong Gravitational Lenses

Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Chao-Han Huck Yang, Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren | Summary: In this work, we aim to enhance the system robustness of end-to-end automatic speech recognition (ASR) against adversarially-noisy speech examples. We focus on a rigorous and empirical "closed-model adversarial robustness" setting (e.g., on-device or […]


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Incorporating galaxy cluster triaxiality in stacked cluster weak lensing analyses

Kavli Affiliate: Eli Rykoff | First 5 Authors: Zhuowen Zhang, Hao-Yi Wu, Yuanyuan Zhang, Joshua Frieman, Chun-Hao To | Summary: Counts of galaxy clusters offer a high-precision probe of cosmology, but control of systematic errors will determine the accuracy of this measurement. Using Buzzard simulations, we quantify one such systematic, the triaxiality distribution of clusters […]


Continue.. Incorporating galaxy cluster triaxiality in stacked cluster weak lensing analyses

Incorporating galaxy cluster triaxiality in stacked cluster weak lensing analyses

Kavli Affiliate: Eli Rykoff | First 5 Authors: Zhuowen Zhang, Hao-Yi Wu, Yuanyuan Zhang, Joshua Frieman, Chun-Hao To | Summary: Counts of galaxy clusters offer a high-precision probe of cosmology, but control of systematic errors will determine the accuracy of this measurement. Using Buzzard simulations, we quantify one such systematic, the triaxiality distribution of clusters […]


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Ionization yield measurement in a germanium CDMSlite detector using photo-neutron sources

Kavli Affiliate: D. B. Macfarlane | First 5 Authors: SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib, D. W. P. Amaral, T. Aralis | Summary: Two photo-neutron sources, $^{88}$Y$^{9}$Be and $^{124}$Sb$^{9}$Be, have been used to investigate the ionization yield of nuclear recoils in the CDMSlite germanium detectors by the SuperCDMS collaboration. This work evaluates the yield […]


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Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Dominic Beck, Ari Cukierman, W. L. Kimmy Wu, , | Summary: We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio~$r$. We find that upper limits on $r$ can be biased low. The underestimation of […]


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Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices

Kavli Affiliate: W. L. Kimmy Wu | First 5 Authors: Dominic Beck, Ari Cukierman, W. L. Kimmy Wu, , | Summary: We investigate simulation-based bandpower covariance matrices commonly used in cosmological parameter inferences such as the estimation of the tensor-to-scalar ratio $r$. We find that upper limits on $r$ can be biased low by tens […]


Continue.. Bias on Tensor-to-Scalar Ratio Inference With Estimated Covariance Matrices