5 papers
MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations
Abhishikth Mallampalli, Sridhara Dasu
Large-scale scientific collaborations, such as the Compact Muon Solenoid (CMS) at CERN, produce a vast and ever-growing corpus of internal documentation. Navigating this complex in…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Evaluation of Novel Fast Machine Learning Algorithms for Knowledge-Distillation-Based Anomaly Detection at CMS
Lino Gerlach, Elliott Kauffman, Abhishikth Mallampalli
The CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm) project aims to detect anomalous physics signatures without bias from theoretical models in proton-proton c…
MuCol Milestone Report No. 7: Consolidated Parameters
Rebecca Taylor, Antoine Chancé, Dario Augusto Giove +459
This document is comprised of a collection of consolidated parameters for the key parts of the muon collider. These consolidated parameters follow on from the October 2024 Prelimin…
The Muon Collider
Carlotta Accettura, Simon Adrian, Rohit Agarwal +450
Muons offer a unique opportunity to build a compact high-energy electroweak collider at the 10 TeV scale. A Muon Collider enables direct access to the underlying simplicity of the…