523 citations · 1.8k across the 59 of their papers we have counts for
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Performance of resistive MPGDs with pad readout coupled to VMM3a ASIC
D. Zavazieva, I. Ravinovich, L. Moleri +6
We present a comparative study of three resistive Micro-Pattern Gaseous Detector (MPGD) technologies - Micromegas, RPWELL, and - with VMM3a based readout, using…
Automatizing the search for mass resonances using BumpNet
Jean-François Arguin, Georges Azuelos, Émile Baril +15
Physics Beyond the Standard Model (BSM) has yet to be observed at the Large Hadron Collider (LHC), motivating the development of model-agnostic, machine learning-based strategies t…
A dump leakage calorimeter to measure the flux of high-energy electrons and photons
Antonios Athanassiadis, Ties Behnke, Jonas Björklund Svensson +18
We developed a novel apparatus based on a lead-glass calorimeter that can measure the flux of high-energy electrons or photons. Our detector uses the electromagnetic shower leakage…
Input to the ESPPU: The LUXE Experiment
H. Abramowicz, M. Almanza Soto, M. Altarelli +130
This document presents an overview of LUXE (Laser Und XFEL Experiment), an experiment that will combine the high-quality and high-energy electron beam of the European XFEL with a h…
Automatizing the search for mass resonances using BumpNet
Jean-Francois Arguin, Georges Azuelos, Émile Baril +15
The search for resonant mass bumps in invariant-mass distributions remains a cornerstone strategy for uncovering Beyond the Standard Model (BSM) physics at the Large Hadron Collide…
Exploring DHCAL design and performance with Graph Neural Networks
M. Borysova, D. Zavazieva, N. Kakati +2
In the context of a gas-sampling Digital Hadronic Calorimeter (DHCAL), we explore the potential of using Graph Neural Networks (GNN) for hadron energy reconstruction and Particle I…