activity
20192026
most citedPrecision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

4 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing hep-exShow all

5 papers · 1 filter

hep-ex2026

Expected Sensitivity of the Light Dark Matter eXperiment to Long-Lived Dark Photons and Axion-Like Particles

Torsten Akesson, Clay Barton, Charles Bell +53

The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment primarily designed to achieve world-leading, model-independent sensitivity to sub-GeV dark matte…

hep-ex2025

LDMX -- The Light Dark Matter eXperiment

Torsten Akesson, Layan Alsaraya, Stephen Appert +116

The Light Dark Matter eXperiment (LDMX) is an electron fixed-target experiment optimized to search for sub-GeV dark matter production through the missing momentum signature. LDMX i…

hep-ex2025★ 1 cited

Sensitivity of an Early Dark Matter Search using the Electromagnetic Calorimeter as a Target for the Light Dark Matter eXperiment

LDMX Collaboration, Torsten Åkesson, Elizabeth Berzin +53

The Light Dark Matter eXperiment (LDMX) is proposed to employ a thin tungsten target and a multi-GeV electron beam to carry out a missing momentum search for the production of dark…

hep-ex2024★ 4 cited

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

ATLAS Collaboration

The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…

hep-ex2023

Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam

Torsten Åkesson, Cameron Bravo, Liam Brennan +44

The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the…