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 […]


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

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

Dark Matter Interpretation of the Fermi-LAT Observations Toward the Outer Halo of M31

Kavli Affiliate: Igor Moskalenko | First 5 Authors: Chris Karwin, Simona Murgia, Igor Moskalenko, Sean Fillingham, Anne-Katherine Burns | Summary: An excess $gamma$-ray signal toward the outer halo of M31 has recently been reported. Although other explanations are plausible, the possibility that it arises from dark matter (DM) is valid. In this work we interpret […]


Continue.. Dark Matter Interpretation of the Fermi-LAT Observations Toward the Outer Halo of M31

Dark Matter Interpretation of the Fermi-LAT Observations Toward the Outer Halo of M31

Kavli Affiliate: Igor Moskalenko | First 5 Authors: Chris Karwin, Simona Murgia, Igor Moskalenko, Sean Fillingham, Anne-Katherine Burns | Summary: An excess $gamma$-ray signal toward the outer halo of M31 has recently been reported. Although other explanations are plausible, the possibility that it arises from dark matter (DM) is valid. In this work we interpret […]


Continue.. Dark Matter Interpretation of the Fermi-LAT Observations Toward the Outer Halo of M31

The effects of turbulence on galactic nuclear gas rings

Kavli Affiliate: R. Morris | First 5 Authors: Jesus M. Salas, Smadar Naoz, Mark R. Morris, , | Summary: The gas dynamics in the inner few kiloparsecs of barred galaxies often results in configurations that give rise to nuclear gas rings. However, the generic dynamical description of the formation of galactic nuclear rings does not […]


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