[HTML][HTML] A fast centrality-meter for heavy-ion collisions at the CBM experiment

MO Kuttan, J Steinheimer, K Zhou, A Redelbach… - Physics Letters B, 2020 - Elsevier
A new method of event characterization based on Deep Learning is presented. The PointNet
models can be used for fast, online event-by-event impact parameter determination at the …

Deep learning based impact parameter determination for the CBM experiment

MO Kuttan, J Steinheimer, K Zhou, A Redelbach… - 2021 - mdpi.com
In this talk we presented a novel technique, based on Deep Learning, to determine the
impact parameter of nuclear collisions at the CBM experiment. PointNet based Deep …

[HTML][HTML] A primary simulation study of scintillating fibre dosimetry for a proton minibeam

DR Guerreiro, BC Alves, C Rodrigues… - Radiation Physics and …, 2024 - Elsevier
In this paper is explored the application of optical fibre-based dosimetry in the context of
charged-particles MiniBeam Radiation Therapy through comprehensive simulation …

Status of the CBM and HADES RICH projects at FAIR

J Adamczewski-Musch, P Akishin… - Nuclear Instruments and …, 2020 - Elsevier
The upgraded HADES RICH detector, as well as the future CBM RICH detector, will both use
the same Hamamatsu H12700 Multianode PMTs read out by the newly developed DiRICH …

RICH detectors: Analysis methods and their impact on physics

P Križan - Nuclear Instruments and Methods in Physics Research …, 2017 - Elsevier
The paper discusses the importance of particle identification in particle physics experiments,
and reviews the impact of ring imaging Cherenkov (RICH) counters in experiments that are …

Hit reconstruction for the Silicon Tracking System of the CBM experiment

H Malygina - 2018 - publikationen.ub.uni-frankfurt.de
The mission of the Compressed Baryonic Matter (CBM) experiment is to investigate the
phase diagram of strongly interacting matter in the region of high net-baryon densities and …

Artificial intelligence in heavy-ion collisions: bridging the gap between theory and experiments

M Omana Kuttan - 2023 - publikationen.ub.uni-frankfurt.de
Artificial Intelligence (AI) methods are employed to study heavy-ion collisions at intermediate
collision energies, where high baryon density and moderate temperature QCD matter is …

Investigations of rate and multi-hit capability of multi-gap resistive plate chambers

CH Simon - 2021 - archiv.ub.uni-heidelberg.de
The application of multi-gap resistive plate chambers (MRPC) for time-of-flight (TOF)
measurements in future high-rate heavy-ion-collision experiments like CBM (Compressed …

Event reconstruction of free-streaming data for the RICH detector in the CBM experiment

J Adamczewski-Musch, P Akishin… - EPJ Web of …, 2019 - epj-conferences.org
The Compressed Baryonic Matter (CBM) experiment is a dedicated heavy ion collision
experiment at the FAIR facility. It will be one of the first HEP experiments which works in a …

Tests of the CBM Rich readout and Daq prototype

J Adamczewski-Musch, P Akishin, KH Becker… - Physics of Particles and …, 2017 - Springer
The CBM RICH detector is an integral component of the future CBM experiment at FAIR,
providing efficient electron identification and pion suppression necessary for the …