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SUMMARY:Characterization of Semiconductor Detectors\, Tracking\, and Heavy
 -Flavor Analysis with ALICE at the LHC and ePIC at the EIC
DTSTART:20260525T090000Z
DTEND:20260525T110000Z
DTSTAMP:20260618T120300Z
UID:indico-event-9344@scitalks.tifr.res.in
DESCRIPTION:Speakers: Shyam Kumar (INFN\, Bari\, Italy)\n\nIn this seminar
 \, I will present my research contributions spanning semiconductor detecto
 r development\, charged-particle tracking\, and heavy-flavor physics in la
 rge-scale high-energy physics experiments. My PhD research focused on the 
 design of microwave plasma systems and the growth of high-quality diamond 
 films for the development of radiation-hard diamond detectors. Currently\,
  I contribute to the characterization of next-generation monolithic active
  pixel sensors (MAPS) for the upgrade of the ALICE Inner Tracking System (
 ITS3) at the LHC\, as well as for the silicon vertex tracker (SVT) of the 
 electron–Proton/Ion Collider (ePIC) experiment at the future Electron–
 Ion Collider (EIC). These studies include laboratory measurements and test
 -beam data analysis to evaluate detector performance in terms of spatial r
 esolution\, timing performance\, and detection efficiency. In parallel\, I
  have contributed to the development of tracking algorithms and fast simul
 ation tools for ALICE\, ALICE3\, and the ePIC experiment to optimize the t
 racking performance of the experimental setup. On the physics side\, I wil
 l present recent Run 3 results on azimuthal correlations of D mesons with 
 primary charged particles in proton–proton collisions at √s = 13 TeV\,
  using advanced machine-learning techniques\, approved by the ALICE collab
 oration. These measurements provide new insights into heavy-quark fragment
 ation and hadronization. Finally\, I will discuss the exciting physics pro
 grams at EIC and outline my ongoing and future research\, focusing on jets
  and heavy-flavor measurements at the LHC and the EIC\, leveraging advance
 d detector technologies\, precision tracking\, and state-of-the-art machin
 e-learning methods.\n\nhttps://scitalks.tifr.res.in/event/9344/
LOCATION:AG 66 (TIFR\, Mumbai)
URL:https://scitalks.tifr.res.in/event/9344/
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