A fast centrality-meter for heavy-ion collisions at the CBM experiment M Omana Kuttan, J Steinheimer, K Zhou, A Redelbach, H Stoecker Physics Letters B, 135872, 2020 | 40 | 2020 |
QCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of Heavy-Ion Collision Data M Omana Kuttan, J Steinheimer, K Zhou, H Stoecker Physical Review Letters 131 (20), 202303, 2023 | 36 | 2023 |
An equation-of-state-meter for CBM using PointNet M Omana Kuttan, K Zhou, J Steinheimer, A Redelbach, H Stoecker Journal of High Energy Physics 2021 (10), 1-25, 2021 | 32 | 2021 |
A chiral mean-field equation-of-state in UrQMD: effects on the heavy ion compression stage M Omana Kuttan, A Motornenko, J Steinheimer, H Stoecker, Y Nara, ... The European Physical Journal C 82 (5), 1-12, 2022 | 22 | 2022 |
Deep Learning Based Impact Parameter Determination for the CBM Experiment M Omana Kuttan, J Steinheimer, K Zhou, A Redelbach, H Stoecker Particles 4 (1), 47-52, 2021 | 13 | 2021 |
Machine learning-based predictions of directionality and charge of cosmic muons—a simulation study using the mICAL detector D Samuel, A Samalan, M Omana Kuttan, LP Murgod Journal of Instrumentation 14 (11), P11020, 2019 | 9 | 2019 |
Model dependence of the number of participant nucleons and observable consequences in heavy-ion collisions M Omana Kuttan, J Steinheimer, K Zhou, M Bleicher, H Stoecker arXiv preprint arXiv:2303.07919, 2023 | 5 | 2023 |
Deep Learning-Based Energy Reconstruction of Cosmic Muons in mini-ICAL Detector D Samuel, M Omana Kuttan, A Samalan, LP Murgod Springer Proc. Phys. 261 (XXIII DAE High Energy Physics Symposium), 787-791, 2021 | 3 | 2021 |
NA61/SHINE online noise filtering using machine learning methods A Kawęcka, W Bryliński, MO Kuttan, O Linnyk, J Pawlowski, K Schmidt, ... Journal of Physics: Conference Series 2438 (1), 012104, 2023 | 2 | 2023 |
Proton and Λ flow and the equation of state at high density J Steinheimer, M Omana Kuttan, A Motornenko, A Sorensen, Y Nara, ... EPJ Web of Conferences 276, 01021, 2023 | 2 | 2023 |
Extraction of global event features in heavy-ion collision experiments using PointNet M Omana Kuttan, J Steinheimer, K Zhou, A Redelbach, H Stoecker | 1* | 2022 |
Artificial intelligence in heavy-ion collisions: bridging the gap between theory and experiments M Omana Kuttan Dissertation, Frankfurt am Main, Johann Wolfgang Goethe-Universität, 2023, 0 | 1* | |
Towards a foundation model for heavy-ion collision experiments through point cloud diffusion M Omana Kuttan, K Zhou, J Steinheimer, H Stoecker arXiv e-prints, arXiv: 2412.10352, 2024 | | 2024 |