activity
20022026
most citedCombined measurements of Higgs boson production and decay using up to fb of proton-proton collision data at 13 TeV collected with the ATLAS experiment

489 citations · 2.3k across the 30 of their papers we have counts for

collaborators

30 papers

physics.comp-ph2026

Promoting Green Computing in High Energy Physics and Astrophysics

Vasiliki A. Mitsou, Andreas Redelbach, Eleni Vardoulaki

This research topic aims to explore and promote strategies for green computing in high-energy physics and astrophysics. The primary objectives include assessing current energy cons…

physics.ins-det2026

Demonstrating CBM Capabilities by Baryon Reconstruction in Ni+Ni Collisions with the mCBM Experiment at SIS18 of GSI/FAIR

CBM Collaboration, A. Agarwal, Z. Ahammed +338

The Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for Antiproton and Ion Research (FAIR) is a high-rate fixed-target experiment designed to investigate nucle…

hep-ex2024

Efficient high performance computing with the ALICE Event Processing Nodes GPU-based farm

Federico Ronchetti, Valentina Akishina, Edvard Andreassen +16

Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and O…

physics.comp-ph2023★ 4 cited

Energy-second-moment map analysis as an approach to quantify the irregularity of Hamiltonian systems

Jürgen Struckmeier, Andreas Redelbach

A different approach will be presented that aims to scrutinize the phase-space trajectories of a general class of Hamiltonian systems with regard to their regular or irregular beha…

nucl-ex2023★ 11 cited

Production of pions, kaons, and protons as a function of the relative transverse activity classifier in pp collisions at TeV

ALICE Collaboration

The production of , , and p is measured in pp collisions at TeV in different topological regions. Particle transverse momentum…

hep-ph2021★ 24 cited

An equation-of-state-meter for CBM using PointNet

Manjunath Omana Kuttan, Kai Zhou, Jan Steinheimer +2

A novel method for identifying the nature of QCD transitions in heavy-ion collision experiments is introduced. PointNet based Deep Learning (DL) models are developed to classify th…