251 citations · 1.9k across the 44 of their papers we have counts for
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Deep Learning the Morphology of Dark Matter Substructure
Stephon Alexander, Sergei Gleyzer, Evan McDonough +2
Strong gravitational lensing is a promising probe of the substructure of dark matter halos. Deep learning methods have the potential to accurately identify images containing substr…
Higher Spin Supersymmetry at the Cosmological Collider: Sculpting SUSY Rilles in the CMB
Stephon Alexander, S. James Gates, Leah Jenks +2
We study the imprint of higher spin supermultiplets on cosmological correlators, namely the non-Gaussianity of the cosmic microwave background. Supersymmetry is used as a guide to…
Axion-Dilaton Destabilization and the Hubble Tension
Stephon Alexander, Evan McDonough
The discrepancy in measurements of the Hubble constant indicates new physics in dark energy, dark matter, or both. Drawing inspiration from string theory, where axions interact wit…
dS Vacua and the Swampland
Renata Kallosh, Andrei Linde, Evan McDonough +1
In this note we revisit some of the recent 10d and 4d arguments suggesting that uplifting of supersymmetric AdS vacua leads to flattening of the potential, preventing formation of…
Dark Disk Substructure and Superfluid Dark Matter
Stephon Alexander, Jason J. Bramburger, Evan McDonough
Dark matter substructure has the potential to discriminate between broad classes of dark matter models. With this in mind, we construct novel solutions to the equations of motion g…