9 citations · 16 across the 8 of their papers we have counts for
8 papers
Constraints on the Injection of Radiation in the Early Universe
Melissa Joseph, Jason Kumar, Pearl Sandick
We consider the generic injection of radiation (both dark and electromagnetic) during the epoch between big bang nucleosynthesis (BBN) and recombination. The contribution of the ad…
A likelihood analysis for gamma-ray background models
Chance Hoskinson, Jason Kumar, Pearl Sandick
Indirect searches for dark matter using dwarf spheroidal galaxies are limited by systematic uncertainties in modeling diffuse gamma-ray backgrounds. We present a likelihood-based c…
Clustering with Light (but Massive) Relics
Jason Kumar, Pearl Sandick, Shuting Xu
We consider the effect of Light (but Massive) Relics (LiMRs) on the clustering of matter in the early Universe. We account for the fact that LiMRs which are massive enough may clus…
Tools for probing new physics with newly discovered gamma-ray targets
Chance Hoskinson, Jason Kumar, Pearl Sandick
We present a computational tool, TweedleDEE, for empirically modeling diffuse gamma-ray background emission in a 1 degree region of the sky, using publicly available gamma-ray data…
New dark matter analysis of Milky Way dwarf satellite galaxies with MADHATv2
Kimberly K. Boddy, Zachary J. Carter, Jason Kumar +3
We obtain bounds on dark matter annihilation using 14 years of publicly available Fermi-LAT data from a set of 54 dwarf spheroidal galaxies, using spectral information from 16 ener…
Are There Correlations in the HAWC and IceCube High Energy Skymaps Outside the Galactic Plane?
Jason Kumar, Carsten Rott, Pearl Sandick +1
We use publicly-available data to perform a search for correlations of high energy neutrino candidate events detected by IceCube and high-energy photons seen by the HAWC collaborat…
Machine Learning Techniques for Intermediate Mass Gap Lepton Partner Searches at the Large Hadron Collider
Bhaskar Dutta, Tathagata Ghosh, Alyssa Horne +6
We consider machine learning techniques associated with the application of a Boosted Decision Tree (BDT) to searches at the Large Hadron Collider (LHC) for pair-produced lepton par…
Searching for Dark Matter Annihilation to Monoenergetic Neutrinos with Liquid Scintillation Detectors
Jason Kumar, Pearl Sandick
We consider searches for dark matter annihilation to monoenergetic neutrinos in the core of the Sun. We find that liquid scintillation neutrino detectors have enhanced sensitivity…