Studies of baryonic matter at the BM@N experiment (JINR)

Kapishin, Mikhail

doi:10.1016/j.nuclphysa.2018.07.014

Cited by 49 publications

(11 citation statements)

References 10 publications

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“…The first part of comparison is concerned with datasets. For training, validation and evaluation phases we used hits from the Monte-Carlo simulation of the RUN 7 of the BM@N experiment [7]. We generated about 750K events for training and validation of the model.…”

Section: Methodsmentioning

confidence: 99%

Tracknetv3 With Optimized Inference for Bm@n Tracking

Nikolskaya¹,

Goncharov²,

Ososkov³

et al. 2021

9th International Conference "Distributed Computing and Grid Technologies in Science and Education"

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Tracking is an important task in the field of High Energy physics. Modern experiments produceenormous amounts of data, and classical tracking algorithms cannot reach required computingefficiency. This lead to the need to develop new methods, some of them use neural network models.In our work we present modifications of previously developed model, TrackNetV2. This model and itsdescendants showed great results for Monte-Carlo simulations of experiments with microstrip-basedGEM detectors: BESIII and BM@N RUN6. In this work we adapt it to more complex scenario forBM@N RUN7. The work showed limitations in architecture and training procedure, which arereworked later.

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Section: Methodsmentioning

confidence: 99%

Tracknetv3 With Optimized Inference for Bm@n Tracking

Nikolskaya¹,

Goncharov²,

Ososkov³

et al. 2021

9th International Conference "Distributed Computing and Grid Technologies in Science and Education"

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“…BM@N detector configuration. The BM@N experimental setup at JINR allows to perform fixed-target experiments with high-energy nuclear beams that are provided by the Nuclotron accelerator [47]. Our experiment was designed such that in particular protons under large laboratory angles can be measured.…”

Section: Extended Datamentioning

confidence: 99%

Unperturbed inverse kinematics nucleon knockout measurements with a 48 GeV/c carbon beam

Patsyuk,

Kahlbow,

Laskaris

et al. 2021

Preprint

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“…6. Timeline of planned and proposed near-and far-future instrumentation for high-energy nuclear physics, grouped into: the high-density frontier (green) with BESII [112], BM@N [113], MPD [114], LHCb fixed-target [94], NA62 [8], CEE [115], CBM [11], NA60+ [9], J-PARK-HI [12]; the high-energy frontier (red) with ALICE LS2 upgrades [96,97], sPHENIX [104], CMS LS3 upgrades [105] and ATLAS LS3 upgrades [106], ALICE ITS3 [111]; the small-x frontier (blue) with LHCb phase-1 upgrade [101], forward sPHENIX [80], forward STAR [81], FoCal [77], EIC [85]; the ultra-precision future (black): LHCb phase-2 upgrade [116], NGHI [117], FCC [5], SppS [118].…”

Section: The Ultra-precision Near and Far Futurementioning

confidence: 99%