activity
20192026
most citedLearning representations of irregular particle-detector geometry with distance-weighted graph networks

137 citations · 211 across the 11 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

physics.ins-det2024

Physics Instrument Design with Reinforcement Learning

Shah Rukh Qasim, Patrick Owen, Nicola Serra

We present a case for the use of Reinforcement Learning (RL) for the design of physics instrument as an alternative to gradient-based instrument-optimization methods. It's applicab…

physics.ins-det2024★ 3 cited

Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

M. Aamir, G. Adamov, T. Adams +568

A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…