424 citations · 860 across the 26 of their papers we have counts for
33 papers
CosmoAgent: AI Agent for Theoretical Cosmology
Stephon Alexander, Loukas Gouskos, Savvas M. Koushiappas +2
We present CosmoAgent, an agentic AI framework using large language models (LLMs) to search for dark-energy and modified-gravity models. We define a covariant grammar that allows L…
Dffusion: Capturing the Beam-Beam Physics of Collisions with Diffusion Models
Antonio Chahine, Mariarosaria D'Alfonso, Jan Eysermans +10
Beam-induced backgrounds at high-luminosity colliders, such as the FCC-ee, are dominated by incoherent pair creation (IPC), and require computationally expensive simulatio…
Particle-Lund Multimodality in Jet Taggers
Loukas Gouskos, Benedikt Maier
The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by le…
Autonomous Discovery of Particle Physics Theories from Experimental Data
Stephon Alexander, Benjamin Bradley, Loukas Gouskos +1
The search for physics beyond the Standard Model is hindered by a combinatorial explosion of possible theories. We introduce \textsc{Albert}, a neuro-symbolic artificial intelligen…
Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
Max Marriott-Clarke, Lazar Novakovic, Elizabeth Ratzer +3
We propose a novel clustering approach for point-cloud segmentation based on supervised contrastive metric learning (CML). Rather than predicting cluster assignments or object-cent…
Modern jet flavour tagging in hadronic Z decays with archived ALEPH data
Matteo M. Defranchis, Jacopo Fanini, Apranik Fatehi +6
We present a reanalysis of archived data from the ALEPH experiment at LEP in the final state. We apply modern jet flavour tagging techniques to improve th…
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…
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics
Jorge de Blas, Monica Dunford, Emanuele Bagnaschi +127
The European Strategy for Particle Physics (ESPP) reflects the vision and presents concrete plans of the European particle physics community for advancing human knowledge in fundam…
Precision Measurements of Higgs Hadronic Decay Modes at the FCC-ee
Andrea Del Vecchio, Jan Eysermans, Loukas Gouskos +4
The expected precision at the FCC-ee on the product of Higgs boson production cross sections times branching ratio…
ECFA Higgs, electroweak, and top Factory Study
H. Abidi, J. A. Aguilar-Saavedra, S. Airen +373
The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing togeth…
LEP3: A High-Luminosity e+e- Higgs and ElectroweakFactory in the LHC Tunnel
C. Anastopoulos, R. Assmann, A. Ball +25
As stated in the 2019 European Strategy for Particle Physics (ESPP), it is of the utmost importance that the HL-LHC upgrade of the accelerator and the experiments be successfully c…
Evaluating the Impact of Detector Design on Jet Flavor Tagging for Future Colliders
Dimitrios Ntounis, Loukas Gouskos, Caterina Vernieri
Jet flavor tagging is of utmost importance for unlocking the full physics potential of any future collider experiment. The performance of any jet flavor identification algorithm de…
Les Houches 2023: Physics at TeV Colliders: Standard Model Working Group Report
J. Andersen, B. Assi, K. Asteriadis +81
This report presents a short summary of the activities of the "Standard Model" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 12-30 June, 2023).
Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
M. Aamir, G. Adamov, T. Adams +568
A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…
Focus topics for the ECFA study on Higgs / Top / EW factories
Jorge de Blas, Patrick Koppenburg, Jenny List +105
In order to stimulate new engagement and trigger some concrete studies in areas where further work would be beneficial towards fully understanding the physics potential of an $e^+e…
Timing Performance of the CMS High Granularity Calorimeter Prototype
CMS HGCAL collaboration
This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…
The ECFA Early Career Researcher's Panel: composition, structure, and activities, 2021 -- 2022
ECFA Early-Career Researcher Panel, :, Andrei Alexandru Geanta +74
The European Committee for Future Accelerators (ECFA) Early Career Researcher's (ECR) panel, which represents the interests of the ECR community to ECFA, officially began its activ…
Second Analysis Ecosystem Workshop Report
Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…
Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20300 GeV/c
B. Acar, G. Adamov, C. Adloff +454
The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimete…
Optimal transport for a novel event description at hadron colliders
Loukas Gouskos, Fabio Iemmi, Sascha Liechti +3
We propose a novel strategy for disentangling proton collisions at hadron colliders such as the LHC that considerably improves over the current state of the art. Employing a metric…
Jets and Jet Substructure at Future Colliders
Ben Nachman, Salvatore Rappoccio, Nhan Tran +24
Even though jet substructure was not an original design consideration for the Large Hadron Collider (LHC) experiments, it has emerged as an essential tool for the current physics p…
Constraints on future analysis metadata systems in High Energy Physics
T. J. Khoo, A. Reinsvold Hall, N. Skidmore +22
In High Energy Physics (HEP), analysis metadata comes in many forms -- from theoretical cross-sections, to calibration corrections, to details about file processing. Correctly appl…
Jet Flavour Tagging for Future Colliders with Fast Simulation
Franco Bedeschi, Loukas Gouskos, Michele Selvaggi
Jet flavour identification algorithms are of paramount importance to maximise the physics potential of future collider experiments. This work describes a novel set of tools allowin…