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SUMMARY:Momentum Inference of the Ion-optics of WASA-FRS based on machine 
 learning models
DTSTART;VALUE=DATE-TIME:20241119T164700Z
DTEND;VALUE=DATE-TIME:20241119T165400Z
DTSTAMP;VALUE=DATE-TIME:20260422T132509Z
UID:indico-contribution-25468@indico.ific.uv.es
DESCRIPTION:Speakers: David Calonge González  (IEM CSIC)\nMultimessenger 
 measurements in astrophysics have become a key element in constraining the
  nuclear equation of state and the characteristics of neutron stars. The s
 tellar characteristics of a neutron star are strongly affected by baryonic
  interactions. Constraints from experimental observations of heavy ions sh
 ow remarkable consistency with astrophysical measurements and provide comp
 lementary information at intermediate densities. In this respect\, the pro
 duction of exotic hypernuclei in ion-induced reactions is expected to add 
 precise observables at higher densities than those obtained in previous ex
 periments. \nThe WASA-FRS HypHI Experiment focuses on the study of light h
 ypernuclei by means of heavy-ion\ninduced reactions in 6Li collisions with
  12C at 1.96GeV/u. It is part of the WASA-FRS experimental campaign\, and 
 so is the eta-prime experiment [1]. The distinctive combination of the hig
 h-resolution spectrometer FRS [2] and the high-acceptance detector system 
 WASA [3] is used.  The experiment was successfully conducted at GSI-FAIR i
 n Germany in March 2022 as a component of the FAIR Phase-0 Physics Program
 \, within the Super-FRS Experiment Collaboration. The primary objectives o
 f this experiment are twofold: to shed light on the hypertriton puzzle [4]
  and to investigate the existence of the previously proposed nnΛ bound st
 ate [5]. Currently\, the data from the experiment is under analysis.\nPart
  of the data analysis is to provide a precise ion-optics of the measuremen
 t of the fragment orignated from the mesonic weak decay of the hypernuclei
  of interest. The reconstruction the ion-optics of fragments is based on t
 he calibration run of FRS optics. We have proposed to implement machine le
 arning models and neural networks to represent the ion-optics of FRS: Whil
 e the current state of the problem involves solving equations of motion of
  particles in non-ideal magnetic fields - which leads to the application o
 f approximations in the calculations - the implementation of artificial in
 telligence models allows us to obtain accurate results with possible bette
 r momentum resolution.\nIn this presentation\, we will present the current
  status of the R&D in machine learning model of the ion-optics and the pro
 spect of the inference of the measured momentum of the fragments based on 
 the calibration data recorded during the WASA-FRS experimental campaign of
  2022.\n[1] Y.K. Tanaka et al.\, J. Phys. Conf. Ser. 1643 (2020) 012181.\n
 [2] H. Geissel et al.\, Nucl. Instr. and Meth. B 70 (1992) 286-297.\n[3] C
 . Bargholtz et al.\, Nucl. Instr. and Meth. A 594 (2008) 339-350.\n[4] T.R
 . Saito et al.\, Nature Reviews Physics 3 (2021) 803-813.\n[5] C. Rappold 
 et al.\, Phys. Rev. C 88 (2013) 041001.\n\nhttps://indico.ific.uv.es/event
 /7664/contributions/25468/
LOCATION:
URL:https://indico.ific.uv.es/event/7664/contributions/25468/
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