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20202026
most citedDark Matter-induced electron excitations in silicon and germanium with Deep Learning

1 citations · 2 across the 7 of their papers we have counts for

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hep-ph20251 cited

Electronic structure of liquid xenon in the context of light dark matter direct detection

Riccardo Catena, Luca Marin, Marek Matas +2

We present a description of the electronic structure of xenon within the density-functional theory formalism with the goal of accurately modeling dark-matter-induced ionisation in…

hep-ph20241 cited

Dark Matter-induced electron excitations in silicon and germanium with Deep Learning

Riccardo Catena, Einar Urdshals

We train a deep neural network (DNN) to output rates of dark matter (DM) induced electron excitations in silicon and germanium detectors. Our DNN provides a massive speedup of arou…

hep-ph2023

Direct searches for general dark matter-electron interactions with graphene detectors: Part II. Sensitivity studies

Riccardo Catena, Timon Emken, Marek Matas +2

We use a formalism that describes electron ejections from graphene-like targets by dark matter (DM) scattering for general forms of scalar and spin 1/2 DM-electron interactions in…

hep-ph2023

Direct searches for general dark matter-electron interactions with graphene detectors: Part I. Electronic structure calculations

Riccardo Catena, Timon Emken, Marek Matas +2

We develop a formalism to describe electron ejections from graphene-like targets by dark matter (DM) scattering for general forms of scalar and spin 1/2 DM-electron interactions an…

hep-ph2020

On dark atoms, massive dark photons and millicharged sub-components

Felix Kahlhoefer, Einar Urdshals

We present a simple model of two dark matter species with opposite millicharge that can form electrically neutral bound states via the exchange of a massive dark photon. If bound s…