Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

Kavli Affiliate: Susan Clark | First 5 Authors: Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink | Summary: Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational […]


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LINNA: Likelihood Inference Neural Network Accelerator

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Chun-Hao To, Eduardo Rozo, Elisabeth Krause, Hao-Yi Wu, Risa H. Wechsler | Summary: Bayesian posterior inference of modern multi-probe cosmological analyses incurs massive computational costs. For instance, depending on the combinations of probes, a single posterior inference for the Dark Energy Survey (DES) data had a […]


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Optical selection bias and projection effects in stacked galaxy cluster weak lensing

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Hao-Yi Wu, Matteo Costanzi, Chun-Hao To, Andrés N. Salcedo, David H. Weinberg | Summary: Cosmological constraints from current and upcoming galaxy cluster surveys are limited by the accuracy of cluster mass calibration. In particular, optically identified galaxy clusters are prone to selection effects that can bias […]


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Optical selection bias and projection effects in stacked galaxy cluster weak lensing

Kavli Affiliate: Eli S. Rykoff | First 5 Authors: Hao-Yi Wu, Matteo Costanzi, Chun-Hao To, Andrés N. Salcedo, David H. Weinberg | Summary: Cosmological constraints from current and upcoming galaxy cluster surveys are limited by the accuracy of cluster mass calibration. In particular, optically identified galaxy clusters are prone to selection effects that can bias […]


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

Kavli Affiliate: Noah Kurinsky | 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 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