activity
20042026
most citedExpected Performance of the ATLAS Experiment - Detector, Trigger and Physics

586 citations · 635 across the 9 of their papers we have counts for

collaborators

10 papers

physics.ins-det2026

Cherenkov and scintillation light separation in BGO and BSO crystals coupled to SiPMs for dual-readout electromagnetic calorimetry at future colliders

M. Alviggi, B. Argiento, E. Auffray +29

We report on the separation of Cherenkov and scintillation light in BGO and BSO crystals read out with silicon photomultipliers (SiPMs). The two light components are disentangled o…

physics.acc-ph2025

Future Circular Collider Feasibility Study Report: Volume 2, Accelerators, Technical Infrastructure and Safety

M. Benedikt, F. Zimmermann, B. Auchmann +1461

In response to the 2020 Update of the European Strategy for Particle Physics, the Future Circular Collider (FCC) Feasibility Study was launched as an international collaboration ho…

physics.acc-ph2025★ 3 cited

Future Circular Collider Feasibility Study Report: Volume 3, Civil Engineering, Implementation and Sustainability

M. Benedikt, F. Zimmermann, B. Auchmann +1461

Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability asp…

hep-ex2025★ 24 cited

Future Circular Collider Feasibility Study Report: Volume 1, Physics, Experiments, Detectors

M. Benedikt, F. Zimmermann, B. Auchmann +1461

Volume 1 of the FCC Feasibility Report presents an overview of the physics case, experimental programme, and detector concepts for the Future Circular Collider (FCC). This volume o…

q-bio.QM2024

Statistical analysis on the effectiveness of a low insulin index, alkaline and functional diet evaluated with machine learning techniques

Fabiana Antoniali, Maria Luisa Conza, Francesco Alessandro Conventi +10

In this paper, a statistical analysis of the performance of a low insulin index, alkaline and functional diet developed by ANTUR evaluated with machine learning techniques is repor…

q-bio.GN2021

Variant-driven multi-wave pattern of COVID-19 via a Machine Learning analysis of spike protein mutations

Adele de Hoffer, Shahram Vatani, Corentin Cot +7

Applying a ML approach to the temporal variability of the Spike protein sequence enables us to identify, classify and track emerging virus variants. Our analysis is unbiased, in th…