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3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators (Chicago, IL - Palmer House Hilton)

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Chicago, IL

Chicago, IL

Kevin Brown (C-AD)
Description

We are pleased to announce the 3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators will be held in Chicago, Il, USA. This will be the third workshop in a series that began in 2018 at SLAC, CA, USA followed by a second workshop held at Villigen PSI, Switzerland in 2019. A third workshop had been planned to be held in Seoul, Korea in 2020, but unfortunately had to be canceled due to the COVID-19 pandemic.

The goal of this third workshop is to continue to work on building a world-wide community of researchers and engineers interested in applying artificial intelligence and machine learning technologies to particle accelerators.

We will be accepting abstracts for authors who want to attend the workshop. The guidelines and instructions are as follows:

Abstract Title:   The title of the contribution using initial capital letters, for example, โ€œThis is a Presentation Title in Initial Capital Lettersโ€.

Author Names and Affiliations

Abstract Content:   An abstract is a concise summary of a presentation. It should describe the presentation and include a statement of the issue, research methods, and significant findings. Abstracts should be written as one continuous paragraph. Abstract text should not exceed 1200 characters.

Contribution Type:  Select the preferred presentation type.

Comments:  Include acknowledgments, funding statements, etc.

Important Notice: If you have any difficulties submitting an abstract, please email your Title, list of authors, abstract, and whether it is a requested talk or poster presentation directly to brownk@bnl.gov and petway@bnl.gov.

Event ID: 44128

 

AIML-2022-ProgramFinal.pdf
Workshop Coordinator
  • Tuesday, 1 November
    • 08:00 → 08:45
      Registration 45m 3rd Floor Wabash Room

      3rd Floor Wabash Room
    • 08:45 → 09:00
      Tutorials - Prep and Instructions 15m
    • 09:00 → 09:45
      Tutorial on Bayesian Optimization 45m
      Speaker: Ryan Roussel (SLAC)
      bo_tutorial_icfa22.pdf
    • 09:45 → 10:05
      Break (with cold drinks and snacks) 20m
    • 10:05 → 10:50
      Tutorial on Anomaly Detection 45m
      Speaker: Antonin Sulc (MCS (MCS Fachgruppe 4))
      Tutorial Github Repository
    • 10:50 → 11:10
      Break 20m
    • 11:10 → 11:55
      Tutorial on Reinforcement Learning (Speaker: Kishansingh Rajput, JLAB) 45m
      Kishan_ICFA_RL_Tutorial.pdf
      Kishan_ICFA_RL_Tutorial.pptx
    • 11:55 → 13:25
      Lunch Break (on your own) 1h 30m
    • 13:25 → 14:10
      ALCF - HPC for AI/ML (Corey J. Adams, ANL) 45m
      Speaker: Corey Adams (ANL)
      BeamDynamics_ALCF_CAdams.pdf
    • 14:10 → 14:55
      Tutorial on Uncertainty Quantification 45m
      Speaker: Natalie Isenberg (Computational Science Initiative)
      Hes1ProteinModel.ipynb
      UQ_Tutorial_ICFA_Beam_Dynamics_Workshop.potx
    • 14:55 → 15:15
      Break 20m
    • 15:15 → 16:15
      Collaborations: Online Optimizations
    • 16:15 → 16:35
      Break 20m
    • 16:35 → 17:35
      Collaborations: Online Models
    • 18:00 → 20:00
      Meet & Greet 2h Honore Room (The Palmer House Hilton)

      Honore Room

      The Palmer House Hilton
  • Wednesday, 2 November
    • 08:00 → 08:30
      Registration (Coffee and Snacks will be available) 30m
    • 08:30 → 08:55
      Welcome 25m
      CBB -- ai workshop.pptx
      IntroWelcome.pptx
    • 08:55 → 10:20
      Bayesian Optimization (Session Moderator: Andrea Santamaria Garcia, Karlsruhe Institute of Technology)
      • 08:55
        Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements 25m
        Speaker: Sara Miskovich (staff@stanford.edu;member@stanford.edu)
        ICFA-BAX-Miskovich.pdf
      • 09:20
        Machine Learning Tools to support the ATLAS Ion Linac Operations at Argonne 25m
        Speaker: Jose L. Martinez-Marin (member@anl.gov)
        JOSE MARTINEZ ICFA Beam Dynamics Nov2022.pdf
      • 09:45
        Bayesian Optimization for Trajectory Alignment at LEReC 25m
        Speaker: Yuan Gao
        3rd ICFA.pdf
    • 10:20 → 10:40
      Break 20m
    • 10:40 → 11:55
      Reinforecement Learning (Session Moderator: Christine Sweeney, LANL)
    • 11:55 → 13:25
      Lunch Break (on your own) 1h 30m
    • 13:25 → 16:00
      Prognostics (Session Moderator: Verena Kain, CERN)
    • 16:00 → 16:25
      Al for Muon Collider Design: Progress and Plans 25m
      Speaker: Elena Fol (member@cern.ch)
      AI_MuonCoolider_ICFA_ML.pdf
    • 16:25 → 16:45
      RadiaSoft Tools (RadiaSoft Team, RadiaSoft) 20m
      Speaker: Jonathan Edelen (RadiaSoft, LLC)
      RadiaSoft_Overview.pdf
    • 16:45 → 18:30
      Poster Session (cold drinks and snacks) 4th Floor Exhibit Hall

      4th Floor Exhibit Hall
      • 16:45
        Classification and Prediction of Superconducting Magnet Quenches 2m
        Speaker: Joshua Curtis-Einstein (RadiaSoft, LLC)
      • 16:47
        Beam Loss Disentangling Model Hyperparameter Tuning Methods 2m
        Speaker: Isaiah Jones (Northwestern University)
      • 16:49
        Graph Embeddings for CEBAF Operations: Progress and Future Plans 2m
        Speaker: Chris Tennant (Jefferson Laboratory)
      • 16:51
        Emittance Measurement Speedup with Machine Learning at the Coherent electron Cooling Experiment at RHIC 2m
        Speaker: Weijian Lin (Cornell Univ.)
        Lin_Lucy_ICFA_Poster.pdf
      • 16:53
        Machine Learning for Beam Emittance Measurement and Aberration Correction of an Electron Microscope 2m
        Speaker: Desheng Ma (member@cornell.edu;alum@cornell.edu;student@cornell.edu)
        dm852_2022_CBB_BNL_poster.pdf
      • 16:55
        Enhancing UED temporal resolution with time-stamping virtual diagnostics 2m
        Speaker: FREDERICK CROPP (UCLA)
      • 16:57
        Analysis and Visualisation of Transverse beam properties at the European XFEL 2m
        Speaker: Raimund Kammering (Deutsches Elektronen-Synchrotron DESY)
      • 16:59
        Muon monitor signal to predict NuMI beam parameters and horn current by applying Machine Learning techniques 2m
        Speaker: Don Athula Wickremasinghe
      • 17:01
        Relating Initial Distribution to Beam Loss on the Front End of a Heavy-Ion Linac Using Machine Learning 2m
        Speaker: Anthony Tran (student@msu.edu;member@msu.edu)
        Tran_Anthony.pdf
      • 17:03
        Machine learning-based surrogate model construction for optics matching at the European XFEL 2m
        Speaker: Zihan Zhu (DESY)
      • 17:05
        An Efficient Classifier-Based Surrogate Assisted Evolutionary Algorithm 2m
        Speaker: Christopher Pierce (member@cornell.edu;alum@cornell.edu;student@cornell.edu)
        20221028 ICFA ML Poster.pdf
      • 17:07
        Image Segmentation for Automated Sample Alignment in Neutron Scattering Experiments 2m
        Speaker: M. Henderson (RadiaSoft, LLC)
        Henderson_ICFA-2022_nuline-poster.pdf
      • 17:09
        Optimization of dynamic aperture for the Electron-Ion Collider 2m
        Speaker: Daniel Marx
        Marx.pdf
      • 17:11
        BPM measurement prediction based on HOM signals using Machine Learning 2m
        Speaker: Jorge Diaz Cruz (University of New Mexico)
        IFCA22_HOM_ML.pdf
        IFCA22_HOM_ML.pptm
      • 17:13
        Updates on the surrogate model design for MUED 2m
        Speaker: Salvador Sosa (UNM)
        SalvadorSosa.pdf
        SalvadorSosa.pptx
      • 17:15
        Prospects for Machine Learning and Pulse Shaping in the Scorpius Accelerator 2m
        Speaker: E.R. Scott (NNSS)
        evanrscott_poster_ICFA_machine-learning-scorpius_FINAL.pdf
      • 17:17
        Exploring and Applying Different Machine Learning Techniques in a Synchrotron 2m
        Speaker: Bohong Huang (Stony Brook University)
        BohongsPoster-11022022.pdf
        BohongsPoster-11022022.pptx
      • 17:21
        Neural Network Surrogate Priors for Efficient Bayesian Optimization 2m
        Speaker: Ryan Roussel (SLAC National Laboratory)
        Connie_Xu_SessionA_2022_portrait.pdf
      • 17:23
        Longitudinal Phase Space Manipulation at the LCLS using Neural Networks and Bayesian Optimization 2m
        Speaker: Auralee Edelen (SLAC)
        20221102_ICFA_ML_Edelen_LPS_poster.pdf
      • 17:25
        Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training 2m
        Speaker: Jan Kaiser (Deutsches Elektronen-Synchrotron DESY)
        Poster.pdf
      • 17:27
        APPLICATIONS OF MACHINE LEARNING IN PHOTO-CATHODE INJECTORS 2m
        Speaker: Aasma Aslam
        CBB poster.pdf
      • 17:29
        Xopt: A Simplified Framework for Optimization of Arbitrary Problems using Advanced Algorithms 2m
        Speaker: Ryan Roussel (SLAC National Laboratory)
        poster_final.pdf
      • 17:31
        Fast THz Radiation Optimization for Linear Accelerator using Surrogate Model 2m
        Speaker: Chenran Xu (member@kit.edu;employee@kit.edu)
        2022-11-01-ICFA_Poster_Xu.pdf
      • 17:33
        Automatic Optimization of X-ray Free-Electron Laser at SACLA 2m
        Speaker: Hirokazu Maesaka (Spring8)
        PosterMLWS22Maesaka.pdf
      • 17:35
        A Smart Alarm for the CEBAF Injector 2m
        Speaker: Chris Tennant (Jefferson Laboratory)
        Smart_Alarm_TENNANT.pdf
      • 17:37
        Continuous Anomaly Detection and Labeling for the Fermilab Linac 2m
        Speaker: Jason St. John (Fermilab)
        Continuous Anomaly Detection and Labeling for the Fermilab Linac - St. John.pdf
      • 17:39
        Apply Machine Learning in Orbit Control and Accelerator Stabilization 2m
        Speaker: Zeyu Dong (Stony Brook University)
        Abstract-MLworkshop.pdf
      • 17:41
        Machine Learning to Support the ATLAS Linac Operations at Argonne 2m
        Speaker: Brahim Mustapha (ANL)
        AI-for-ATLAS-Operations_Poster.pdf
        AIML-for-ATLAS-Operations-at-ANL.pdf
      • 17:43
        Design Optimization and In Situ Surrogate Modeling Activities in the Beam, Plasma & Accelerator Simulation Toolkit (BLAST) 2m
        Speaker: Axel Huebl (Lawrence Berkeley National Laboratory)
        2022-11-01_BLAST-AIML.pdf
        2022-11-02_Huebl_Abstract_3rdICFA-AIML.pdf
      • 17:45
        Data-Driven Chaos Indicators for Beam Dynamics 2m
        Speaker: Robert Rainer (Brookhaven National Laboratory)
        ddci_RR(final).pptx
  • Thursday, 3 November
    • 08:30 → 10:10
      Modeling (Session Moderator: Chris Tennant, JLAB)
      • 08:30
        Data-Driven Chaos Indictor for Nonlinear Dynamics and Applications on Storage Ring Lattice Design 25m
        Speaker: Robert Rainer (BNL)
        ddci_RR(final).pptx
      • 08:55
        Towards End-to-End Differentiable Accelerator Modeling 25m
        Speaker: Juan Pablo Gonzalez-Aguilera (University of Chicago)
        ICFA ML 2022.pdf
      • 09:20
        Experience with Integrated Systems for Online Physics Modeling, Adaptive ML Modeling, and Model-Based Control 25m
        Speaker: Auralee Edelen (SLAC)
        20221102_Edelen_ICFA.pdf
      • 09:45
        Luminosity Tuning for Future Electron Ion Collider 25m
        Speaker: Derong Xu (Brookhaven National Laboratory)
        ICFA_AI_EICLuminosityTuning.pdf
    • 10:10 → 10:40
      Break 30m
    • 10:40 → 13:50
      Facility (Session Moderator: Francesco Maria Velotti, CERN)
    • 13:50 → 16:00
      Optimization (Session Moderator: Hirokazu Maesaka, RIKEN Spring-8 Center)
    • 16:00 → 17:50
      Analysis (Session Moderator: Raimund Kammering, DESY)
      • 16:00
        Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations 25m
        Speakers: Ryan Roussel (SLAC National Laboratory), Ryan Roussel (SLAC)
        phase_space_reconstruction_ICFA22.pdf
      • 16:25
        Improving Neural Networks Predictions using Physics - PINN for the CERN Accelerators 25m
        Speaker: Francesco Maria Velotti (CERN)
        pinn_cern_fv.pdf
        Slides for talk
      • 16:50
        Transverse 2D Phase-Space Tomography Using BPMs 25m
        Speaker: Kilean Hwang (member@msu.edu;faculty@msu.edu;employee@msu.edu)
        MiniWorkshop.pdf
        MiniWorkshop.pptx
      • 17:15
        Simulation Studies and Machine Learning Applications for Orbit Correction at the Alternating Gradient Syndhrotron 25m
        Speakers: Lucy Lin (Cornell University), Weijian Lin (Cornell Univ.)
        Lin_ICFA_Talk.pdf
  • Friday, 4 November
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