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    ICFA Beam Dynamics Mini Workshop on Modern Optimization of Dynamic Aperture

    → US/Eastern
    Room 401 Physical Sciences (Cornell University)

    Room 401 Physical Sciences

    Cornell University
    Christoph Montag (BNL), Georg Hoffstaetter (Cornell)
    Description

    This workshop will be the first of it's kind, originating from a current need of DA optimization at several accelerator projects, including the EIC, FCC-ee, light sources, and more.  It will be the first occasion to discuss the latest developments in state-of-the-art DA optimization that has been held in many years.  Latest theoretical and experimental developments are of high relevance for Brookhaven's next collider project, the Electron-Ion Collider (EIC), to reach it's required performance in any of it's rings, the HSR, the ESR, the RCS, and possibly the REC. 

    Furthermore, the workshop program will include discussion of studies towards the Future Circular Collider (FCC) planned at CERN, and of several light sources, including an upgrade to BNL's NSLS.  In person discussion and presentation related to recent theoretical, computational and experimental advances as well as discovered challenges will provide important input to the development of all these accelerators. 

    Topics to Cover: 

    • EIC DA optimizations, including EIC, HSR, RCS, and the REC using differential beam dynamics for AI/ML optimization tools.
    • FCC-ee DA optimization
    • Light sources, e.g. NSRL-II, PETRA 4, NSLS-II and upgrades, APS, ALS
    • Dynamic aperture and lifetime optimization in design and during operation
    • Injection optimization in design and during operation
    • Resonant extraction optimization in design and during operation
    • SuperKEKB DA, measurements and simulations
    • LHC RDTs / DA measurements and corrections, including long range beam-beam
    • Design and optimization of HL-LHC and FCCee DA including imperfections and realistic tuning simulations
    • Large computing campaigns and novel DA exploration techniques including ML in Xsuite
    • Online/real-time DA optimizations on operational machine

     

    Join Zoom Meeting

    https://cornell.zoom.us/j/96531187858?pwd=Io3IY8F3XbBN5P4TxsBaYnamkKtncc.1

    Meeting ID: 965 3118 7858

    Passcode: MODA2026

    Anna Petway
    Participants
    30 View full list
    • Monday 19 October
      • 1
        SciBmad Training Workshop Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • 12:00
        Lunch Break (not provided)
      • 2
        SciBmad Training Workshop Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • 17:00
        Meet & Greet and Registration Check-In at the Hilton Garden Inn, Ithaca, NY (Tavern on the Commons) Hilton Garden Inn Ithaca

        Hilton Garden Inn Ithaca
    • Tuesday 20 October
      • Future Facilities with DA Needs - Frank Zimmermann (Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • 12:00
        Lunch Break (provided) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • Operational Nonlinear Dynamics Optimization, Model Building and Measurement (Christoph Montag, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        • 8
          RHIC Experiences
          Speaker: Yun Luo (C-AD, BNL)
          DA-RHIC-Experiences-v1.pdf
          DA-RHIC-Experiences-v1.pptx
        • 9
          LHC experiences
          Speaker: Ewen Maclean (CERN)
          2026-10-_MODA_v3.pptx
        • 10
          Beam Dynamics for Laser Assisted Charge Exchange Injection at the Spallation Neutron Source
          Speaker: Dr Fanglei Lin (Oak Ridge National Laboratory)
          ICFA_MODA_LACE_Lin.pptx
        • 14:30
          Coffee Break
        • 11
          SuperKEKB DA, measurements and simulations
          Speaker: Yukiyoshi Ohnishi (KEK)
          SuperKEKB_DA_ohnishi.pdf
        • 12
          Entropy criteria for DA optimization with NSLS-II data
          Speaker: Minghao Song (BNL)
          MODA26_Chaos Indicators for Online Nonlinear Dynamics Optimization at NSLS-II_Minghao Song.pdf
        • 13
          Optimization of an H7BA Lattice for a 2.2-km Future Light Source
          Speaker: Peifan Liu (SLAC)
          261020_MODA_PeifanLiu.pptx
        • 14
          Dynamic Aperture Optimization in the Presence of Incoherent Beam-Beam Effects

          Modern high-luminosity circular e+e- colliders require the interplay between lattice nonlinearities and beam-beam interactions to be considered in dynamic-aperture (DA) optimization in order to achieve the required beam lifetime and overall machine performance. This presentation reviews recent studies of the impact of incoherent beam-beam effects on the DA of crab-waist colliders. It also discusses the principal sources of lattice nonlinearities and the basic theory of incoherent beam-beam tune shifts and resonances in crab-waist collisions. Particular attention is given to how beam-beam interactions modify single-particle dynamics and resonance structures, and to the resulting implications for nonlinear lattice optimization.

          Speaker: Demin Zhou (KEK)
          20261020_DA_BB_V2.pdf
    • Wednesday 21 October
      • Early Indicators and Long-term Stability (Joseph Scott Berg, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • 12:00
        Lunch Break (provided) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • Early Indicators and Long-term Stability II (Joseph Scott Berg, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        Convener: J. Scott Berg (Brookhaven National Laboratory)
        • 20
          Fast Fourier Transform approach to Tori Foliations
          Speaker: Andrea Fornara
          Tori_ICFA_standalone.html
        • 21
          Open discussion: early indicators of reduced dynamic aperture and their utility - discussion leader Scott
          Speaker: J. Scott Berg (Brookhaven National Laboratory)
      • Hike and BBQ Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        • 22
          Bus leaves at Cornell's Clark Hall - bring hiking gear in the morning
        • 23
          Visit historic mill and hike down Treman Park
        • 24
          Dinosaur BBQ
        • 25
          Bus from Treman Park to Hilton Garden Inn
    • Thursday 22 October
      • HPC/advanced computing for nonlinear dynamics optimization (Matt Signorelli, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        • 26
          ML method for DA training
          Speaker: Derong Xu (Brookhaven National Laboratory)
          AI4DA_MODA.pdf
        • 27
          DA Optimization with machine learning for SuperKEKB
          Speaker: Taichiro Koga (KEK)
          koga_superkekb_2026_10_12_ver3.pdf
        • 28
          Optimizing Resonant Extraction for Mu2e with Neural Controllers and Surrogate Models

          Third-integer resonant extraction in Fermilab’s Delivery Ring relies on controlled evolution of the stable transverse phase-space region to provide uniform beam intensity for Mu2e. Spill quality depends on the interplay between quadrupole-driven tune evolution, nonlinear particle dynamics, and machine disturbances. We present progress on machine-learning methods for optimizing spill regulation in this setting, combining controller benchmarks with learned surrogate models. Direct optimization on a semi-analytical extraction simulator demonstrates that gated recurrent unit (GRU) controllers can outperform a proportional-integral-derivative (PID) baseline, with supervised training providing good sample efficiency and compact networks retaining competitive performance. A complementary surrogate framework combines generative modeling of stochastic disturbances with a GRU representation of the deterministic response to quadrupole actuation. Under the assumption of known disturbances during surrogate training, model-based reinforcement learning also produces policies that improve simulated spill duty factor over PID. We investigate model constraints and iterative training, including studies with linear time-varying surrogates, to address discrepancies caused by controller optimization exploiting surrogate inaccuracies. We also describe the automated data pipeline used to characterize machine response and disturbances during beam commissioning, and discuss ongoing quantization studies aimed at deploying compact GRU controllers on the existing spill-regulation FPGA hardware for validation with beam.

          Speaker: Aakaash Narayanan (aakaashn@fnal.gov)
          Mu2e_MODA26_final.pptx
        • 10:30
          Coffee Break
        • 29
          GPU parallelization and parallelization over accelerators rather than particles
          Speaker: Joseph Devlin (alum@cornell.edu;member@cornell.edu;student@cornell.edu)
          DevlinMODA.pptx
        • 30
          Applications of high-performance computing to the Advanced Photon Source Upgrade accelerator design
          Speakers: Louis Emery, Michael Borland (ANL)
          Borland-MODA.pdf
      • 12:00
        Lunch Break (provided) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • Modern software and techniques for nonlinear dynamics optimization and analysis (Eiad Hamwi, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        • 31
          Normal Form using TPSA with maps and Realistic Hamiltonians
          Speaker: Patrice Nishikawa
        • 32
          Robust Design of Synchrotrons for Predictable Performance – a Control Theory Approach
          Speaker: Johan Bengtsson
          Johan v6.pptx
        • 33
          Open Discussion: Code requirements for modern ML, NN, RL optimization of nonlinear dynamics, Led by EIad Hamwi
          Speaker: Eiad Hamwi (Cornell University)
        • 14:30
          Coffee Break
        • 34
          Large computing campaigns and novel DA exploration techniques including ML in Xsuite
          Speaker: Leon Van Riesen-Haupt
          Large Computing Campaigns and Novel DA Exploration Techniques including ML in Xsuite.pptx
        • 35
          Injection optimization in design and during operation with Badger
          Speaker: Eiad Hamwi (Cornell University)
          Online_beam_optimization_Xopt_Badger.pptx
        • 36
          DA/MA with agentic AI and BAX
          Speaker: Noa Steerenberg
          DAMA_BAX_AgenticAI.pptx
        • 37
          ML optimization of nonlinear dynamics in current and future accelerators
          Speaker: Matthias Remta
          moda2026_remta.pptx
        • 38
          Discussion time
    • Friday 23 October
      • Closeout (Georg Hoffstaetter de Torquat, Chair) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • 13:00
        Lunch Break (provided) Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
      • Closeout: Free for breakout discussions Room 401 Physical Sciences

        Room 401 Physical Sciences

        Cornell University
        • 45
          Summary; Collaboration needs; discussion and preparation of joint paper
          Speaker: Georg Hoffstaetter (Cornell)