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Fourth US FCC meeting

8–11 Sept 2026
SLAC
America/Los_Angeles timezone

Contribution List

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  1. 8. Machine-Detector Interface
    John Seeman (SLAC)
    08/09/2026, 09:00
  2. 9. Beam-Beam Modeling in WarpX - Backgrounds
    Arianna Formenti (LBNL)
    08/09/2026, 10:30
  3. 10. Beam-Beam Modeling - Turn-by-turn simulations
    Peter Kicsiny (SLAC)
    08/09/2026, 11:30
  4. 71. AIM summary
    Julia Gonski (SLAC)
    08/09/2026, 13:30
  5. 18. SRF R&D toward FCC
    Kellen McGee (Fermilab)
    08/09/2026, 13:30
  6. 67. Development of digitization framework
    Alexander Paramonov (Argonne National Laboratory)
    08/09/2026, 13:50
  7. 68. Straw Tracker and dN/dx
    Prof. Junjie Zhu (University of Michigan)
    08/09/2026, 14:10
  8. 19. Beam-Dust Studies of SuperKEKB relevant to FCC-ee
    Chad Mitchell (LBNL)
    08/09/2026, 14:15
  9. 69. MAPS progress in US
    Artur Apresyan, Caterina Vernieri (SLAC)
    08/09/2026, 14:30
  10. 20. MDI simulations backgrounds and luminosity monitor systematics on FCC-ee
    Spencer Gessner (SLAC)
    08/09/2026, 14:45
  11. 70. LGAD Development for PID / TOF
    Simone Mazza
    08/09/2026, 14:50
  12. 72. Test beam results - muon drift tubes and scintillator strips
    Elliott Chai (Michigan)
    08/09/2026, 15:10
  13. 23. Discussion
    08/09/2026, 15:15
  14. 21. MDI Engineering and cryomodule concept for FCC-ee
    John Seeman (SLAC)
    08/09/2026, 16:00
  15. 73. Status of dual-readout calorimeter
    Bob Hirosky (U. Virginia)
    08/09/2026, 16:00
  16. 74. Noble Liquid and Silicon Tungsten Calorimetry
    Jim Brau (University of Oregon (US))
    08/09/2026, 16:20
  17. 24. Beam-Beam studies of SuperKEKB relevant to FCC-ee
    Ji Qiang (LBNL)
    08/09/2026, 16:30
  18. 25. Next steps in defining a magnet R&D program
    GianLuca Sabbi (LBNL)
    08/09/2026, 17:00
  19. 26. Discussion
    08/09/2026, 17:15
  20. 93. Laser-Based Collimation of Beam Halo Electrons via Compton Scattering
    Ching-En Lin (SLAC)
    08/09/2026, 18:00

    The design of future circular colliders will push beam currents and luminosities to unprecedented levels. Beam halo surrounding the main beam can deposit enough energy to melt conventional metal collimators and damage downstream components within a short time. Such damage was already observed during SuperKEKB commissioning [1]. A possible solution is to use Compton scattering to deflect halo...

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  21. 81. Initial mechanical integration design for the LumiCal forward detector
    Lorenzo Pollastrini (SLAC)
    08/09/2026, 18:10

    The Future Circular Collider (FCC-ee) is a proposed next-generation particle physics facility that will enable precision measurements of the Higgs boson and the electroweak sector. Achieving these physics goals requires a highly integrated interaction region, where the Machine–Detector Interface (MDI) must accommodate several detector and accelerator components within a very limited...

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  22. 51. Photogun based electron sources at BNL
    Omer Rahman (Brookhaven National Lab)
    08/09/2026, 18:25

    High-brightness high intensity photogun based electron sources are important for accelerator applications including injectors, energy recovery linacs, electron cooling, and future particle colliders such as EIC, FCC-ee. At Brookhaven National Laboratory, a series of photoguns - delivering polarized and unpolarized electron beams - have been developed and operated to deliver reliable,...

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  23. 79. Parnassus for CLD: A Generative Machine-Learning Surrogate for Full Detector Simulation and Particle Flow Reconstruction
    Umar Sohail Qureshi (Stanford University, SLAC National Accelerator Laboratory)
    08/09/2026, 18:35

    Future Higgs and electroweak studies at the FCC-ee will require Monte Carlo samples far larger than their already unprecedented datasets, while detector designs are still actively being optimized. Thus, full detector simulation and reconstruction is a critical computational bottleneck. We apply Parnassus, a generative machine-learning-based surrogate that merges simulation and reconstruction...

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  24. 63. Machine Learning Enables Real-Time Waveform Decomposition for Dual-Readout Calorimetry
    Julia Gonski (SLAC), Liangyu Wu (SLAC), Qibin Liu (SLAC)
    08/09/2026, 18:50

    Dual-readout calorimetry achieves superior energy resolution by simultaneously measuring Cherenkov and scintillation light for event-by-event corrections, making it attractive for future Higgs factories. However, extracting these components via full waveform digitization poses significant data-rate challenges for front-end readout. We present a systematic comparison of machine learning (ML)...

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  25. 65. Holistic Evaluation of Jet Performance at FCC-ee
    Gregor Krzmanc (SLAC)
    08/09/2026, 19:00

    Jet energy and mass resolution are key figures of merit to evaluate FCC-ee detector concepts as well as particle flow and event reconstruction methods. In contrast to the LHC, at e+e- colliders, every final state particle needs to be assigned to jets which calls for the use of exclusive or large-radius jet finding algorithms. As a result, misassociation of particles to jets becomes a source of...

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  26. 61. Benchmarking WarpX against Guinea-Pig for incoherent pair creation backgrounds at FCC-ee
    Kate Kudela (MIT)
    08/09/2026, 19:10

    The FCC-ee will operate at unprecedented luminosity, producing large numbers of low-energy electron–positron pairs via incoherent pair creation (IPC) at every bunch crossing, which represent a critical background most significantly at the Z pole. These pairs propagate through the innermost detector layers, dominating the occupancy and bandwidth that drive vertex detector design, and require...

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  27. 85. Agentic Optimization of Detector Design for the FCC-ee
    Ivan Brillo (SLAC)
    08/09/2026, 19:25

    The FCC-ee aims to measure flavor, Higgs and top Physics with unprecedented precision, making detector optimization a critical component of the FCC-ee program. Traditional detector studies typically optimize individual detector subsystems or low-level performance metrics, such as tracking resolution or flavor-tagging efficiencies, rather than the ultimate physics reach. We present an agentic...

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  28. 77. Application of Agentic AI to Vertically Integrated Bilevel Reconstruction and TDAQ Optimization (VIBRATO)
    Wonyong Chung (Princeton University)
    08/09/2026, 19:35

    We present the first application of AI agents to the design and optimization of detectors for high-energy physics experiments. Our bi-level optimization framework vertically integrates detector geometry, front-end digitization, and high-level reconstruction parameters within a differentiable, end-to-end simulation. Using a segmented dual-readout crystal electromagnetic calorimeter as a case...

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  29. 57. Data rates from the Vertex detector and managing the beam backgrounds
    Alexander Paramonov (Argonne National Laboratory)
    08/09/2026, 19:35

    The presentation will cover an estimation of the data rates from the vertex detector. The rates are estimated with GEANT4 simulator and digitization of individual pixels. Realistic data formatting and encoding are also applied. A few selected techniques for reduction of the beam-induced backgrounds are explored.

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  30. 80. Do the Tails Agree? WarpX vs GUINEA-PIG for FCC-ee Vertex Backgrounds
    Anna Kinderman (SLAC)
    08/09/2026, 19:35

    Accurate prediction of beam-beam-induced backgrounds, particularly incoherent electron-positron pair production, is essential for validating the occupancy budgets for the innermost tracking (vertex) detector at FCC-ee. These predictions currently rely on GUINEA-PIG, a mature, specialized particle in cell (PIC) code simulating a single beam-beam pass. WarpX, a GPU-accelerated, 3D Poisson solver...

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  31. 58. Final Focusing Quadrupoles, correctors and compensation Solenoid magnets for FCC-ee
    Vikas Teotia (Brookhaven National Laboratory)
    08/09/2026, 19:35

    Superconducting Magnet Division, Brookhaven National Laboratory is designing the final focusing quadrupoles, corrector magnets and compensation solenoids (anti-solenoid and screening solenoids)for FCC-ee Interaction region. This talk discusses MDI challenges from consideration of these magnets and general cryogenic cryostat design. Lack of magnetic septum between nearby beam lines needs...

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  32. 64. Guinea-Pig X: A GPU-Accelerated Port of GuineaPig for Beam-Beam Simulation at FCC-ee
    Dimitris Ntounis (SLAC)
    08/09/2026, 19:35

    Beam-beam simulation underpins luminosity prediction and detector-background estimation at FCC-ee. GuineaPig, the community-established tool used for these simulations, is single-threaded: a single FCC-ee Z bunch crossing takes several hours on one CPU core, making high-statistics Z-pole simulation campaigns very computationally expensive.

    We present Guinea-Pig X (GPX), a CUDA port of...

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  33. 78. Simulation-Based Study of Highly Granular Silicon-Tungsten Electromagnetic Calorimeter for FCCee: Trade-offs between Pixel Granularity and Thermal Management
    Prajita Bhattarai (SLAC)
    08/09/2026, 19:35

    A simulation study is presented examining the impact of increasing pixel granularity in the silicon-tungsten electromagnetic calorimeter for the Future Circular Collider (FCC-ee). Starting from the baseline CLD detector geometry, the pixel pitch is systematically varied from 500 µm down to 25 µm and the effects on photon energy resolution are evaluated. Finer pixelization increases power...

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  34. 52. Toward a $B_c$ Fragmentation-Fraction and $|V_{cb}|$ Measurement at FCC-ee:Truth-Level Validation of $B$-Hadron Flight Observables
    Mr Saheed Oyeniran (University of New Mexico)
    08/09/2026, 19:35

    The Future Circular Collider in its electron–positron mode (FCC-ee) will provide an exceptionally clean environment for heavy-flavour physics at the $Z$ pole, with an expected sample of order $10^{12}$ bottom and charm hadrons. This creates an opportunity to study rare and purely leptonic $B_c^+$ decays, including $B_c^+ \to \tau^+ \nu_\tau$, which are sensitive to the CKM element $|V_{cb}|$,...

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  35. 92. Welcome to SLAC
    Josh Frieman (SLAC)
    09/09/2026, 08:30
  36. 1. FCC project overview
    Srini Rajagopalan (BNL)
    09/09/2026, 08:40
  37. 2. FCC PED Overview
    Guy Wilkinson
    09/09/2026, 09:00
  38. 3. FCC Accelerator Progress
    Frank Zimmermann (CERN)
    09/09/2026, 09:30
  39. 4. US engagement in FCC
    Regina Rameika
    09/09/2026, 10:40
  40. 5. US FCC Accelerator efforts overview
    Tor Raubenheimer (SLAC)
    09/09/2026, 11:10
  41. 6. US FCC PED efforts overview
    Srini Rajagopalan (BNL), Valentina Cairo (SLAC)
    09/09/2026, 11:30
  42. 7. AI & Genesis: impact on future colliders
    Paolo Calafiura (LBL)
    09/09/2026, 11:50
  43. 40. Collaboration forming
    Gregorio Bernardi
    09/09/2026, 12:10
  44. 41. FCC S&C Overview
    David Lange
    09/09/2026, 13:30
  45. 30. The GARD RF Roadmap
    Sam Posen (Fermilab)
    09/09/2026, 13:30
  46. 42. Beam Backgrounds
    Jan Eysermans (CERN), Jan Eysermans (CERN)
    09/09/2026, 14:00
  47. 31. US Beam Physics and AI/ML R&D
    Jean-Luc Vay (LBNL)
    09/09/2026, 14:00
  48. 46. Simulation and Reconstruction
    Giovanni Marchiori
    09/09/2026, 14:20
  49. 32. The EIC and synergies with FCC-ee
    Luisella Lari (BNL)
    09/09/2026, 14:30
  50. 45. Core Software and Detector Geometry
    Charles Leggett (LBNL), Vakho Tsulaia (LBNL)
    09/09/2026, 14:45
  51. 96. R&D Opportunities for the US on FCC-ee
    Frank Zimmermann (CERN)
    09/09/2026, 15:00
  52. 28. Status of the MDI for FCC-ee
    Manuela Boscolo (CERN/INFN)
    09/09/2026, 16:00
  53. 62. The EIC and synergies with FCC-ee
    Ernst Sichtermann (LBL)
    09/09/2026, 16:00
  54. 97. Systems Engineering and Integration for the FCC-ee
    Olga Beltramello (CERN)
    09/09/2026, 16:30
  55. 94. tracking/timing/silicon technologies within CPAD
    Anthony Affolder (University of California- Santa Cruz)
    09/09/2026, 16:30
  56. 98. Discussion
    09/09/2026, 16:50
  57. 11. Gaseous tracking detectors
    Maxim Titov (CEA Saclay, Irfu)
    10/09/2026, 08:30
  58. 34. IR magnets for FCC-ee
    Vikas Teotia (Brookhaven National Laboratory)
    10/09/2026, 08:30
  59. 12. DRD3 / Silicon Trackers
    Jerome Baudot (IPHC-Strasbourg)
    10/09/2026, 08:50
  60. 13. Calorimetry
    Marc-Andre Pleier (BNL), Marc-André Pleier (Brookhaven National Laboratory)
    10/09/2026, 09:10
  61. 33. RF Power sources for FCC-ee
    Emilio Nanni (SLAC), Mohamed Othman
    10/09/2026, 09:15
  62. 14. Electronics and Integration
    Frank Simon (KIT)
    10/09/2026, 09:30
  63. 84. AI for Jet Tagging
    Gregor Krzmanc (SLAC)
    10/09/2026, 10:30
  64. 50. Integrated US SRF program for FCC-ee
    Matthias Liepe (Cornell)
    10/09/2026, 10:30
  65. 83. AI for PF
    Dolores Garcia (MIT)
    10/09/2026, 10:45
  66. 82. AI for Detector Optimisation
    Wonyong Chung (Princeton University)
    10/09/2026, 11:00
  67. 36. AI / ML for Accelerator design and Operation
    Auralee Edelen
    10/09/2026, 11:15
  68. 47. Intelligence on chip
    Qibin Liu (SLAC)
    10/09/2026, 11:15
  69. 59. Discussion AI for FCC
    10/09/2026, 11:30
  70. 60. Fermi National Laboratory
    Victor Daniel Elvira (Fermi National Accelerator Laboratory)
    10/09/2026, 13:30
  71. 100. R&D at FACET toward FCC
    10/09/2026, 13:30
  72. 87. SLAC National Laboratory
    Caterina Vernieri (SLAC)
    10/09/2026, 13:45
  73. 88. Lawrence Berkeley
    Carl Haber (LBNL)
    10/09/2026, 14:00
  74. 89. Brookhaven
    Marc-Andre Pleier (BNL), Marc-André Pleier (Brookhaven National Laboratory)
    10/09/2026, 14:15
  75. 37. Additional Laboratory proposals
    10/09/2026, 14:30
  76. 90. Argonne
    10/09/2026, 14:30
  77. 91. Discussion
    10/09/2026, 14:45
  78. 38. Discussion and prioritization
    10/09/2026, 15:30
  79. 86. Integrating stitched and coffea into the key4hep ecosystem
    Lindsey Gray (Fermilab)
    10/09/2026, 15:30
  80. 44. Event Generators
    Saptaparna Bhattacharya (Northwestern University)
    10/09/2026, 15:50
  81. 17. Opportunities at the Z-pole focusing on Flavour physics
    Zoltan Ligeti (LBL)
    11/09/2026, 09:00
  82. 39. CPAD efforts and FCC detectors needs
    Jonathan Asaadi (University of Texas Arlington)
    11/09/2026, 09:25
  83. 53. Interaction Region developments
    Fabrizio Palla (INFN Pisa)
    11/09/2026, 09:45
  84. 54. Accelerator summary and overview
    Tor Raubenheimer (SLAC)
    11/09/2026, 10:30
  85. 99. Physics outlook
    Heather Gray (UC Berkeley/LBNL)
    11/09/2026, 11:00
  86. 55. Summary and Forward plans for Detector
    Charles Young (SLAC)
    11/09/2026, 11:20
  87. 56. Summary and Forward plans for Software/Computing
    Michael Hance (UC Santa Cruz)
    11/09/2026, 11:40
  88. 95. ARC impact on ECAL resolution for CLD
    Oliva Anna (Stanford)

    A main goal for the proposed FCC-ee, and subsequently a benchmark for evaluating proposed detector concepts, is the ability to perform high-resolution (PI) Particle Identification. The proposed high granularity CLD (CLIC-like detector) concept for the FCC, while having precision vertex detection capacities and optimization towards particle flow, which render it an attractive candidate for...

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  89. 76. Calorimeter WP 2-4 summary
  90. 35. HFCC-ACC Funding and alternate sources
    Tor Raubenheimer (SLAC)
  91. 49. HTS Magnets for FCC-ee
    TBD
  92. 43. Jet Flavor Tagging
  93. 22. MDI Engineering and cryomodule concept for FCC-ee
    John Seeman (SLAC)
  94. 48. Particle Flow at FCC

    traditional + ML, performance and systematics

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  95. 27. R&D Opportunities for the US on FCC-ee
    Frank Zimmermann (CERN)
  96. 75. Status of Dual-readout calorimeter
  97. 16. The impact of detector design and systematic uncertainties on physics measurements
  98. 29. The US Accelerator R&D Program
    TBC
  99. 15. Turn-by-turn modeling with WarpX for beam-beam interactions
    Peter Kicsiny (SLAC)

    Beams in circular colliders exhibit complex nonlinear dynamics shaped by the interplay of different mechanisms. At interaction points (IPs) colliding beams represent an electromagnetic (EM) potential to each other which perturbs the particle trajectories. These perturbations can lead to undesired dynamical behavior of the beams resulting in emittance growth, reduction of beam lifetime and...

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