11–14 Jun 2024
US/Eastern timezone

Contribution List

98 out of 98 displayed
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  1. Hannah Bossi (Massachusetts Institute of Technology (MIT))
    11/06/2024, 09:00

    This talk will provide an overview of applications of artificial intelligence at RHIC for a variety of purposes ranging from data-taking to physics analysis. Applications ongoing and envisioned for the upcoming EIC will also be discussed.

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  2. Xingrui Gou (Shandong University)
    11/06/2024, 09:00
  3. Diyu Shen (Fudan University)
    11/06/2024, 09:25
  4. Yeonju Go (Brookhaven National Laboratory )
    11/06/2024, 09:30

    Artificial intelligence (AI) generative models, such as generative adversarial networks (GANs), have been explored as alternatives to traditional simulations but face challenges with training instability and sparse data coverage. This study investigates the effectiveness of denoising diffusion probabilistic models (DDPMs) for full-detector, whole-event heavy-ion collision simulations as a...

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  5. Dr Yi Yin (Institute of modern physics chinese academy of sciences)
    11/06/2024, 09:50
  6. Charles Hughes (Iowa State University)
    11/06/2024, 10:00

    Reconstructing jets in heavy collisions has always required dealing with the challenges of a high background environment. Traditional techniques, such as the area based method, suffered from poor resolution at low momenta due to the large fluctuating background there. In recent years, the resolution has been improved by using machine learning to estimate the background. While machine learning...

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  7. Priyanshi Sinha (IISER Tirupati)
    11/06/2024, 10:45
  8. Yi Huang (Brookhaven National Laboratory)
    11/06/2024, 11:00

    Real-time data collection and analysis in large experimental facilities pose significant challenges across multiple domains, including high-energy physics, nuclear physics, and cosmology. Machine learning (ML)-based methods for real-time data compression have garnered substantial attention as a solution. In this talk, we will explore the use of deep neural networks in designing fast...

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  9. Yuri Mitrankov (Stony Brook University)
    11/06/2024, 11:10
  10. Cameron Dean (Massachusetts Institute of Technology (MIT))
    11/06/2024, 11:30

    A demonstrator for separating events with a heavy flavor decay from background events in proton-proton collisions with the sPHENIX detector is presented. Due to data volume limitations, sPHENIX is capable of recording 10% of the minimum-bias collisions at RHIC using streaming readout in addition to its 15 kHz hardware trigger of rare events. This demonstrator will use machine-learning...

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  11. Ejiro Umaka (Brookhaven National Laboratory)
    11/06/2024, 11:35
  12. Yilun Wu (Vanderbilt University)
    11/06/2024, 12:00

    Measurements of jet substructure in ultra-relativistic heavy ion collisions suggest that the jet showering process is modified by interaction with the quark gluon plasma. Modifications of the hard substructure of jets can be explored using modern data-driven techniques. In this study, we use a machine learning approach to identify jet quenching amounts. Jet showering processes, both with and...

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  13. Xilin Liang (University of California, Riverside)
    11/06/2024, 13:00
  14. Cristiano Fanelli (College of William & Mary)
    11/06/2024, 13:30

    The Electron-Ion Collider, a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in early 2030. Artificial intelligence and machine learning are being incorporated from the beginning at this facility and will continue to be used throughout all phases leading up to the experiments. In this talk, I will highlight a few examples of...

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  15. Devon Loomis (University of Michigan, Ann Arbor)
    11/06/2024, 13:30
  16. Genki Nukazuka (RIKEN BNL Research Center)
    11/06/2024, 14:00
  17. Zhengxi Yan (Stony Brook University)
    11/06/2024, 14:00
  18. Derek Anderson (Iowa State University)
    11/06/2024, 14:00

    Measurement of jets and their substructure will provide valuable information about the underlying dynamics of hard-scattered quarks and gluons in Deep-Inelastic Scattering events. The ePIC Barrel Hadronic Calorimeter (BHCal) will be a critical tool for such measurements at the Electron-Ion Collider. By enabling the measurement of the neutral hadronic component of jets, the BHCal will...

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  19. Sanghoon Lim (Pusan University)
    11/06/2024, 14:25
  20. Xiaofeng Gu (Collider Accelerator Department, BNL)
    11/06/2024, 14:30

    In this talk, we present some results about EBIS beam intensity and RHIC luminosity online and offline optimization, using the machine learning packages GPTune and XGBoost.

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  21. Haowu Duan (North Carolina State University)
    11/06/2024, 15:00
  22. Wenbin Zhao (Brookhaven National Laboratory)
    11/06/2024, 15:20
  23. Yuan Gao (Collider Accelerator Department, BNL)
    11/06/2024, 15:30

    Discussion and examples of Bayesian optimization, Reinforcement learning, and future planning for particle accelerators.

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  24. Prithwish Tribedy (Brookhaven National Laboratory)
    11/06/2024, 15:30
  25. Dr Xiang-Yu Wu (McGill University)
    11/06/2024, 15:45
  26. Youqi Song (Yale University)
    11/06/2024, 16:00

    MultiFold is a machine-learning based technique that can correct for detector effects for multiple observables in an unbinned manner. In this talk, we discuss how MultiFold works, highlight its applications in several experiments, and introduce resources available to get started on using it.

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  27. Ashik Ikbal Sheikh (Kent State University )
    11/06/2024, 16:00
  28. Jordi Salinas San Martin (University of Illinois at Urbana-Champaign)
    11/06/2024, 16:10
  29. Hannah Harrison (University of Kentucky)
    11/06/2024, 16:30

    OmniFold, the full phase space application of MultiFold, is an unbinned way of correcting multiple observables for detector effects simultaneously using machine learning. As these dependencies are typically addressed in a binned, observable-by-observable fashion, OmniFold presents a novel alternative. In this talk, we present the OmniFold method and a direct application of it to jet-level STAR data.

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  30. Jan Vanek (Brookhaven National Laboratory )
    11/06/2024, 16:30
  31. Dr Niseem (Magdy) Abdelrahman (University of Tennessee, Knoxville), Yu Hu (Lawrence Berkeley National Laboratory)
    11/06/2024, 16:35
  32. Shu-yi Wei
    11/06/2024, 17:00
  33. Yiyu Zhou (South China Normal University)
    11/06/2024, 17:30
  34. Yacine Mehtar-Tani (Brookhaven National Laboratory)
    12/06/2024, 08:30
  35. Anthony Frawley (Florida State University), Antonio Carlos Oliveira da Silva (Iowa State University)
    12/06/2024, 09:00
  36. 12/06/2024, 09:00
  37. Mayank Singh (Vanderbilt University )
    12/06/2024, 09:05
  38. Ondrej Lomicky (Czech Technical University in Prague)
    12/06/2024, 09:10
  39. Lijuan Ruan (Brookhaven National Laboratory)
    12/06/2024, 09:15
  40. Felix Ringer (UC Berkeley/LBNL)
    12/06/2024, 09:30
  41. Daniel Richford (City University of New York)
    12/06/2024, 09:40
  42. Yannick Soehngen (University of Heidelberg)
    12/06/2024, 09:45
  43. Prof. Laura Havener (Yale University)
    12/06/2024, 10:20
  44. Iouri Vassiliev (GSI Helmholtzzentrum fur Schwerionenforschung GmbH)
    12/06/2024, 10:30
  45. Thomas Marshall (University of California - Los Angels)
    12/06/2024, 10:30
  46. Virginia Bailey (Georgia State University)
    12/06/2024, 10:55
  47. Dekra Almaalol (University of Illinois at Urbana-Champaign)
    12/06/2024, 11:00
  48. Preeti Dhankher (University of California Berkeley)
    12/06/2024, 11:00
  49. Megan Connors (Georgia State University)
    12/06/2024, 11:20
  50. Jakub Kvapil (Los Alamos National Laboratory)
    12/06/2024, 11:30
  51. Volodymyr Vovchenko (Lawrence Berkeley National Laboratory)
    12/06/2024, 11:30
  52. Dhanush Hangal (Lawrence Livermore National Laboratory (US))
    12/06/2024, 11:45
  53. Wei Zhang (South China Normal University)
    12/06/2024, 13:00
  54. Ming Liu (Los Alamos National Laboratory )
    12/06/2024, 13:30
  55. Chenliang Jin (Rice University)
    12/06/2024, 14:00
  56. Marzia Rosati (Iowa State University )
    12/06/2024, 14:00
  57. Yige Huang (CCNU IOPP STAR)
    12/06/2024, 14:30
  58. Minjung Kim (UC Berkeley)
    12/06/2024, 14:30
  59. Justin Frantz (Ohio University)
    12/06/2024, 14:30
  60. Noel Blackburn (Brookhaven National Laboratory)
    12/06/2024, 14:40
  61. Emilie Duckworth (Kent State University)
    12/06/2024, 15:00
  62. Dessie Lee Clark (University of Wisconsin)
    12/06/2024, 15:05
  63. 12/06/2024, 15:30
  64. Michael Lisa (Ohio State University)
    12/06/2024, 15:45
  65. Rui Wei (Scientech LLC)
    12/06/2024, 16:20

    advice from a PHENIX 2006-10 alumn and Hedge Fund co-founder

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  66. Aditya Prasad Dash (University of California Los Angeles)
    12/06/2024, 16:30
  67. Jonathan Runchey (Home Depot)
    12/06/2024, 16:40

    advice from a Data Scientist

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  68. Shiv Kumar Subedi (Canon Medical Research)
    12/06/2024, 17:00

    advice from a PET detector scientist

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  69. Yicheng Feng (Purdue University)
    12/06/2024, 17:00
  70. 12/06/2024, 17:25
  71. JoAnne Hewett (Director of Brookhaven National Laboratory)
    13/06/2024, 09:00
  72. Haiyan Gao (BNL, Associate Laboratory Director, Nuclear and Particle Physics)
    13/06/2024, 09:10
  73. Dr. Sharon Stephenson (Physics Research Division Director, Office of Nuclear Physics, Department of Energy)
    13/06/2024, 09:35
  74. Dr. Senta Victoria Greene (Program Director, U.S. National Science Foundation)
    13/06/2024, 10:05
  75. Kiel Hock (Brookhaven National Laboratory)
    13/06/2024, 11:00
  76. Jaroslav Adam (Czech Technical University)
    13/06/2024, 11:25
  77. James Nagle (University of Colorado)
    13/06/2024, 11:50
  78. 13/06/2024, 12:15
  79. Anthony Hodges (University of Illinois)
    13/06/2024, 13:45
  80. Anthony Frawley (Florida State University)
    13/06/2024, 14:05
  81. William Horowitz (University of Cape Town)
    13/06/2024, 14:25
  82. Thomas Hemmick (Stony Brook University)
    13/06/2024, 15:20
  83. Ron Belmont (University of North Carolina Greensboro)
    13/06/2024, 15:50
  84. Yicheng Feng (Purdue University)
    13/06/2024, 16:20
  85. JoAnne Hewett (Director of Brookhaven National Laboratory)
    13/06/2024, 16:50
  86. Dylan Neff (CEA-Saclay)
    13/06/2024, 16:55
  87. Ashish Pandav (NISER Bhubaneswar)
    13/06/2024, 17:00
  88. Tanner Mengel (University of Tennessee (UTK))
    13/06/2024, 17:10
  89. Niseem (Magdy) Abdelrahman (University of Tennessee, Knoxville)
    14/06/2024, 09:00
  90. Yevheniia Khyzhniak (Ohio State University )
    14/06/2024, 09:20
  91. Daniel Brandenburg (Ohio State University), Jae Nam (Temple University)
    14/06/2024, 09:40
  92. James Fast (Jefferson Laboratory )
    14/06/2024, 10:00
  93. Zhoudunming Tu (Brookhaven National Laboratory)
    14/06/2024, 11:00
  94. Anselm Vossen (Duke University)
    14/06/2024, 11:30
  95. Thomas Daniels (Brookhaven National Laboratory)
    14/06/2024, 12:00
  96. Marzia Rosati (Iowa State University)
    14/06/2024, 12:20
  97. Zachary Sweger (University of California, Davis)
    14/06/2024, 12:25
  98. Marzia Rosati (Iowa State University )
    14/06/2024, 12:40