activity
19952026
most citedA Large Hadron Electron Collider at CERN: Report on the Physics and Design Concepts for Machine and Detector

636 citations · 3.7k across the 99 of their papers we have counts for

collaborators

102 papers

cond-mat.str-el2026

Machine-learning test of the single-ion model for excitations in cuprates

Maryia Zinouyeva, Leonardo Martinelli, Riccardo Arpaia +12

We investigate excitations in Resonant Inelastic X-ray Scattering spectra of YBaCuO and LaCuO using the local single-ion model. The data are analyzed by co…

physics.ins-det2026★ 1 cited

Radiation tolerance tests on key components of the ePIC-dRICH readout card

S. Geminiani, B. R. Achari, N. Agrawal +60

The dual-radiator RICH (dRICH) detector of the ePIC experiment will employ over 300000 SiPM pixels as photosensors, organized into more than 1000 Photon Detection Units. Each PDU i…

physics.ins-det2022

ATHENA Detector Proposal -- A Totally Hermetic Electron Nucleus Apparatus proposed for IP6 at the Electron-Ion Collider

ATHENA Collaboration, J. Adam, L. Adamczyk +433

ATHENA has been designed as a general purpose detector capable of delivering the full scientific scope of the Electron-Ion Collider. Careful technology choices provide fine trackin…

cs.LO2022

Reliably Reproducing Machine-Checked Proofs with the Coq Platform

Karl Palmskog, Enrico Tassi, Théo Zimmermann

The Coq Platform is a continuously developed distribution of the Coq proof assistant together with commonly used libraries, plugins, and external tools useful in Coq-based formal v…

cs.LO2021

Proceedings of the Sixteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice

Elaine Pimentel, Enrico Tassi

Logical frameworks and meta-languages form a common substrate for representing, implementing and reasoning about a wide variety of deductive systems of interest in logic and comput…

hep-ex2021

Study of proton parton distribution functions at high x

Ritu Aggarwal

At large values of the parton distribution functions (PDFs) of the proton are poorly constrained and there are considerable variations between different global fits. Data at su…