I measure jets and heavy flavor in heavy-ion collisions with STAR at RHIC. For ePIC at the future Electron-Ion Collider I do simulation and detector-design studies. My background is electromagnetic calorimetry: six years in HADES at GSI/FAIR, doing calibration and assembly work, and taking part in beam-time operations. My thesis there was on neutral-meson production in Ag+Ag collisions.
I also write software, mostly to keep analyses reproducible. I am an AI enthusiast, and I like to teach. I co-convene the ePIC User Learning working group and write its training material. I am also involved with the HEP Software Foundation.
STAR Collaboration Early Career Award, 2025
For building and deploying an AI assistant for the collaboration.
Research
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In ePIC I work on the backward hadronic calorimeter: resolution and cell-segmentation studies for the detector design. The physics case is coherent diffractive φ(1020) → K⁺K⁻ in e+Au, generated with the Sartre dipole model and run through the full ePIC simulation chain. Including the backward HCal recovers 75% more tagged φ yield than an ECal-only selection.
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Jets in STAR. D⁰-tagged jet measurements unfolded with OmniFold, a machine-learning method that unfolds several observables at once without binning, and inclusive jet cross-sections in Au+Au and p+p at √sNN = 200 GeV.
Software
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The search box on eic.github.io runs on eic_smart_search, a retrieval-augmented search that indexes the EIC websites, code repositories, wiki and document archives.
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Generative AI for Physics Analysis teaches AI-assisted analysis on a real Λ⁰ → pπ⁻ measurement with ePIC data. The Model Context Protocol servers it runs on are in eic-mcp.
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I rebuilt the front end of the EIC software website, eic.github.io, and set up its AI search interface and tutorial program.
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Onboarding and computing documentation for junior STAR members lives at star-juniors.github.io.
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Teaching material: a ROOT course on CERN Open Data and Pythia jet exercises, plus a STAR environment walkthrough. It all runs in the browser, nothing to install.
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The HEP jobs board collects high-energy and nuclear physics postings and ranks them daily.
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EpicHcalAnalysis holds the resolution and geometry code for the backward HCal.
Experience
- 2023 – nowResearcher, Czech Technical University, Prague
- 2025Research stay, Yale University
- 2025Research stay, Brookhaven National Laboratory
- 2019 – 2023Researcher, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt
- 2017 – 2023Researcher, Nuclear Physics Institute, Czech Academy of Sciences
- 2017 – 2023Ph.D. in Nuclear Physics, Charles University, Prague
- 2012 – 2017Ing. (M.Sc.), Tomsk Polytechnic University
Skills
- ProgrammingC++PythonBashSQLLaTeXJavaScript
- HEP softwareROOTGeant4DD4hepJANA2PODIO/EDM4hepHepMC3uprootXRootDRucio
- Event generatorsSartrePythia8
- ComputingLinuxDockerSpackGit & CI/CDHTCondorSlurmPostgreSQL
- AI toolingRAGvector databasesMCP serversagentic workflowsTensorFlow
- InstrumentationEM & hadronic calorimetrydetector calibrationDAQFPGA
Selected publications
M. Atif, V. Garonne, E. Lancon, J. Lauret, A. Prozorov, M. Vranovsky, “AI-Powered Assistant for Long-Term Access to RHIC Knowledge”, arXiv:2509.09688 (2025).
A. Prozorov (HADES), “Neutral meson production in Ag+Ag at √sNN = 2.55 GeV”, EPJ Web Conf. 291, 04001 (2024).
A. Prozorov (HADES), “Neutral mesons flow and yields in Ag+Ag at 1.58 AGeV at HADES”, PoS FAIRness2022, 048 (2023).
A. Prozorov, “Simulation study of effects induced by final granularity of detector in particle flow”, J. Phys. Conf. Ser. 1667, 012034 (2020).