Wed·Oct 6, 2021Wednesday·October 6, 2021

1. 01*

   Comparative pulse shape discrimination study for Ca(Br, I)${}_2$ scintillators using machine learning and conventional methods

   M. Yoshino🇯🇵 · T. Iida🇯🇵 · K. Mizukoshi🇯🇵 · T. Miyazaki🇯🇵 · K. Kamada🇯🇵 · K. J. Kim🇰🇷 · A. Yoshikawa🇯🇵

   In particle physics experiments, pulse shape discrimination (PSD) is a powerful tool for eliminating the major background from signals. However, the analysis methods have been a bottleneck to improving PSD performance. In this study, two machine learning methods -- multilayer perceptron and convolutional neural network -- were applied to PSD, and their PSD performance was compared with that of conventional analysis methods. Three calcium-based halide scintillators were grown using the vertical Bridgman--Stockbarger method and used for the evaluation of PSD. Compared with conventional analysis methods, the machine learning methods achieved better PSD performance for all the scintillators. For scintillators with low light output, the machine learning methods were more effective for PSD accuracy than the conventional methods in the low-energy region.

   ↳ physics.ins-dethep-exnucl-exNucl.Instrum.Meth.A(2023)·5 citations
2. 02*

   Overview and Design of the sPHENIX TPC

   Henry Klest🇺🇸

   The proposed sPHENIX detector at RHIC is being designed to study with unprecedented precision the nature of the Quark Gluon Plasma, or QGP, at RHIC through measurement of jets, jet correlations, and Y particles. To reach the goal of producing a high mass-resolution reconstruction of the Y(nS) states, a compact TPC covering pseudorapidities < |1.1| is under construction to provide sPHENIX with the necessary invariant mass resolution. Similar to the ALICE-TPC upgrade, the sPHENIX TPC design presently utilizes quadruple- GEM detectors. Utilizing novel zigzag patterned readout pads, a modified SAMPA readout chip, and an optimized Ne-CF4 gas mixture immersed in a 1.4 T magnetic field to reduce ion backflow, sPHENIX will have a unique lens into the QGP. The motivation behind the design and innovations of the TPC will be presented, along with the current status of the project.

   ↳ physics.ins-detnucl-exJ.Phys.Conf.Ser.(2020)·17 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.