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Found 5 papers, 2 papers with code
Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype
We present a new publicly available dataset that contains simulated data of a novel calorimeter to be installed at the CERN Large Hadron Collider.
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
The transparency of each crystal is monitored with a laser monitoring system that tracks changes in the optical properties of the crystals due to radiation from the collision products.
FAIR AI Models in High Energy Physics
The findable, accessible, interoperable, and reusable (FAIR) data principles provide a framework for examining, evaluating, and improving how data is shared to facilitate scientific discovery.
A FAIR and AI-ready Higgs boson decay dataset
To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models.
The DAQ system of the 12,000 Channel CMS High Granularity Calorimeter Prototype
In the most recent of these tests, conducted in late 2018 at the CERN SPS, the performance of a prototype calorimeter equipped with ${\approx}12, 000\rm{~channels}$ of silicon sensors was studied with beams of high-energy electrons, pions and muons.
Instrumentation and Detectors High Energy Physics - Experiment
