Towards a method to anticipate dark matter signals with deep learning at the LHC
We study several simplified dark matter (DM) models and their signatures at the LHC using neural networks. We focus on the usual monojet plus missing transverse energy channel, but to train the algorithms we organize the data in 2D histograms instead of event-by-event arrays. This results in a la...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SciPost
2022-02-01
|
| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.12.2.063 |