217 citations · 1.9k across the 53 of their papers we have counts for
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Machine Learning for New Physics Searches
Raffaele Tito D'Agnolo
This is the summary of a talk given at CIPANP 2018. I briefly introduce neural networks and then discuss a new technique for model-independent new physics searches in background-do…
Freezing-in the Hierarchy Problem
Timothy Cohen, Raffaele Tito D'Agnolo, Matthew Low
Models with a tiny coupling between the dark matter and the Standard Model, , can yield the measured relic abundance through the thermal proce…
Learning New Physics from a Machine
Raffaele Tito D'Agnolo, Andrea Wulzer
We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The vi…
Exponentially Light Dark Matter from Coannihilation
Raffaele Tito D'Agnolo, Cristina Mondino, Joshua T. Ruderman +1
Dark matter may be a thermal relic whose abundance is set by mutual annihilations among multiple species. Traditionally, this coannihilation scenario has been applied to weak scale…