Fourth US FCC meeting

8 Sept 2026, 09:00 → 11 Sept 2026, 12:00 America/Los_Angeles

51/1-102 - Kavli Auditorium (SLAC)

Carl Haber (LBNL), Caterina Vernieri (SLAC), Jean-Luc Vay (Lawrence Berkeley National Laboratory), Loukas Gouskos (Brown University), Michael Hance (UC Santa Cruz), Spencer Gessner (SLAC), Srini Rajagopalan (BNL), Stephen Gourlay (FNAL), Tor Raubenheimer (SLAC), Vladimir Shiltsev (Fermilab)

 

The fourth US FCC (https://us-fcc.web.cern.ch) meeting will be hosted at SLAC. Save the date  September 8-11  2026.

Registrations will close on August 18, 2026.

If you want to present a poster during the reception on Tuesday, and missed the deadline for the abstract submission, please contact caterina@slac.stanford.edu

Previous editions:

BNL, April 24-26, 2023

https://indico.cern.ch/event/1244371/

MIT, March 25-27, 2024

https://indico.mit.edu/event/876/

ANL/FNAL, April 14-17, 2025

https://indico.fnal.gov/event/67484/

 

US_FCC_2026_meeting_poster_11x17_v2.pdf

US_FCC_2026_meeting_poster_8.5x11_v1.pdf

Tuesday 8 September

09:00 → 12:30 Tutorial Session: Tutorials

Convener: Spencer Gessner (SLAC)

09:00 Machine-Detector Interface

Speaker: John Seeman (SLAC)

10:00 Break

10:30 Beam-Beam Modeling in WarpX - Backgrounds

11:30 Beam-Beam Modeling - Turn-by-turn simulations

Speaker: Peter Kicsiny (SLAC)

13:30 → 15:30 Review L2/3 Accelerator progress

13:30 SRF R&D toward FCC

Speaker: Kellen McGee (Fermilab)

14:15 Beam-Dust Studies of SuperKEKB relevant to FCC-ee

Speaker: Chad Mitchell (LBNL)

14:45 MDI simulations backgrounds and luminosity monitor systematics on FCC-ee

Speaker: Spencer Gessner (SLAC)

15:15 Discussion

13:30 → 15:30 Review L2/3 PED progress

13:30 Development of digitization framework

13:50 Straw Tracker and dN/dx

Speaker: Prof. Junjie Zhu (University of Michigan)

14:10 MAPS progress in US

Speaker: Caterina Vernieri (SLAC)

14:30 LGAD Development for PID / TOF

Speaker: Simone Mazza

14:50 AIM summary

15:10 Test beam results - muon drift tubes and scintillator strips

Speaker: Elliott Chai (Michigan)

15:30 → 16:00 coffee break

16:00 → 17:30 Review L2/3 Accelerator progress

16:00 MDI Engineering and cryomodule concept for FCC-ee

Speaker: John Seeman (SLAC)

16:30 Beam-Beam studies of SuperKEKB relevant to FCC-ee

Speaker: Ji Qiang (LBNL)

17:00 Next steps in defining a magnet R&D program

17:15 Discussion

16:00 → 17:30 Review L2/3 PED progress

16:00 Status of dual-readout calorimeter

16:20 Summary if Calorimeter WP 2-4

18:00 → 20:00 Reception and Poster Session

18:00 Laser-Based Collimation of Beam Halo Electrons via Compton Scattering

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 electrons, effectively using a laser as a non-material collimator [2].

Previous studies have explored laser-Compton scattering for beam-intensity control in FCC-ee and laboratory tests at FACET-II [3,4]. In this work, we focus on laser-based halo collimation, aiming to selectively scatter halo electrons while leaving the beam core largely unaffected. Using SLAC FACET-II laser parameters, we estimate the single-electron scattering probability and outline the planned E344 proof-of-concept experiment, where an annular laser focus is used to target the beam halo. Beyond this near-term test, we discuss the feasibility of reusing laser pulses in an optical cavity, which is essential for improving energy efficiency and scaling the concept toward high-repetition-rate future electron storage rings.

[1] S. Terui et al., “Collimator challenges at SuperKEKB and their countermeasures using nonlinear collimator,” Phys. Rev. Accel. Beams 27, 081001 (2024). https://doi.org/10.1103/PhysRevAccelBeams.27.081001

[2] F. Zimmermann, “New final focus concepts at 5 TeV and beyond,” AIP Conf. Proc. 472, 103–117 (1999). https://doi.org/10.1063/1.58898

[3] F. Zimmermann and T. O. Raubenheimer, “Controlling e+/e− circular collider bunch intensity by laser Compton scattering,” in Proc. IPAC’22, Bangkok, Thailand, pp. 1695–1698 (2022). https://doi.org/10.18429/JACoW-IPAC2022-WEPOST010

[4] C. Munting, P. Kicsiny, E. Barbi, N. Gonzalez, S. Gessner, and I. Drebot, “Laboratory Tests of Laser Control of Electron Beams for Future Colliders,” arXiv:2601.19865 [physics.acc-ph] (2026). https://arxiv.org/abs/2601.19865

Speaker: Ching-En Lin (SLAC)

18:10 Initial mechanical integration design for the LumiCal forward detector

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 space.
Specifically, the goal is to successfully integrate the beam pipe, the LumiCal forward detector, the vertex detector, and all their services within the integration region. This must be done without sacrificing performance, requiring strict attention to the material budget, spatial constraints, and mechanical stability.
This work presents the preliminary mechanical integration design of the LumiCal and its interface with the QC1 cryostat. Although the study focuses on the LumiCal, the design is developed in the context of the full interaction region to ensure compatibility with the surrounding MDI components. An initial 3D CAD model and service routing layout are presented to evaluate the available integration space, identify the main mechanical constraints, and provide a starting point for future design iterations.

Speaker: Lorenzo Pollastrini (SLAC)

18:25 Photogun based electron sources at BNL

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, high-quality electron beams. High current testing using a DC gun is currently underway to demonstrate 75 mA average current at 350 kV for the EIC low-energy cooler.

This talk will summarize BNL’s experience in photogun design, photocathode preparation, gun performance, and key factors affecting stable long-term operation, with emphasis on how these insights can support the development of electron sources for future collider facilities.

Speaker: Omer Rahman (Brookhaven National Lab)

18:35 Parnassus for CLD: A Generative Machine-Learning Surrogate for Full Detector Simulation and Particle Flow Reconstruction

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 into a single point-cloud-to-point-cloud mapping, to the CLD detector concept proposed for FCC-ee. Using $e^+e^- \to Z \to q\bar{q}$ events at $\sqrt s = 91.2$ GeV, fully simulated in Geant4 and reconstructed using CLDConfig within Key4hep, we train Parnassus to emulate two distinct particle flow reconstructions: the established Pandora particle flow algorithm and a hit-level machine-learning particle flow algorithm (HitPF).

In both cases, Parnassus reproduces the full simulation at the level of individual reconstructed particles and jets, including particle multiplicities, kinematics, and substructure at the percent-to-sub-percent-level fidelity, significantly outperforming Delphes fast simulation. As a stringent test of the correlations relevant to downstream physics, we also evaluate flavor tagging performance against full simulation. Since Parnassus learns the response of whichever reconstruction chain it is trained on, it offers a reconstruction-agnostic fast surrogate for detector optimization studies and high-statistics analyses at future colliders.

Speaker: Umar Sohail Qureshi (Stanford University, SLAC National Accelerator Laboratory)

18:50 Machine Learning Enables Real-Time Waveform Decomposition for Dual-Readout Calorimetry

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) and template fitting approaches for real-time separation of Cherenkov and scintillation signals in homogeneous dual-readout calorimeters, evaluated across three representative crystal types (BGO, BSO, PWO). ML models match or exceed template fitting performance at substantially lower sampling rates, and a single model trained across multiple incident energies generalizes robustly without retraining. FPGA-compatible compression via pruning and quantization further enables latencies suitable for real-time deployment. We also assess the downstream impact of this approach on particle reconstruction performance, offering an early indication of its viability for future detector design and readout implementation.

Speakers: Julia Gonski (SLAC), Liangyu Wu (SLAC), Qibin Liu (SLAC)

19:00 Holistic Evaluation of Jet Performance at FCC-ee

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 fluctuation in the measured jet energy resolution. Since such fluctuations are physics dependent, it is imperative to evaluate jet performance in a variety of physics topologies as well as to disentangle the physics from the experimental sources contributing to physics performance. A common set of performance plots and metrics can also provide a framework to compare the performance of different particle flow reconstruction algorithms and calorimeter designs. We present a comprehensive jet-performance toolkit built within the Key4HEP software stack and the FCCAnalyses framework. The design makes it straightforward to add new reconstruction methods, clustering algorithms, detector concepts, and metrics. Our toolkit measures jet energy mass resolution in 2-, 4-, and 6-jet final state processes, and provides metrics to separate the impact of detector and physics components to the resolution.

Speaker: Gregor Krzmanc (SLAC)

19:10 Benchmarking WarpX against Guinea-Pig for incoherent pair creation backgrounds at FCC-ee

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 reliable estimates from beam-beam simulation. We have recently extended the Guinea-Pig program's IPC implemention adding the detector solenoid field during tracking and propagation across the beam-pipe boundary, which changes the predicted innermost-layer occupancy by close to an order of magnitude.

Since current predictions rely on a few long-standing generators such as Guinea-Pig and CAIN, we validate them against WarpX, a modern, independently developed electromagnetic particle-in-cell code. We present work in progress on the modifications needed for WarpX to reproduce the corrected treatment, the observables on which the two codes can be meaningfully compared, and initial results on pair kinematics and propagation, together with an output of the generated pairs in a compact ROOT format within Key4hep for detector simulation and overlay with physics events.

Speaker: Kate Kudela (MIT)

19:25 Agentic Optimization of Detector Design for the FCC-ee

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 framework for end-to-end detector optimization that directly minimizes the expected uncertainty on Higgs couplings.

Our workflow combines fast detector simulation, transformer-based flavor tagging, and full physics analysis within an automated optimization loop. Candidate detector configurations, including geometry, timing resolution, and detector granularity, are evaluated using Delphes-based simulation, transformer taggers trained on particle-flow objects, and a Higgs coupling analysis. The resulting coupling precisions define a physics-informed loss function that enables the agent to drive the optimization while satisfying realistic detector and engineering constraints. This framework enables systematic exploration of detector design choices using physics performance as the optimization objective and provides a scalable strategy for AI-assisted detector design studies at the FCC-ee.

Speaker: Ivan Brillo (SLAC)

19:35 Application of Agentic AI to Vertically Integrated Bilevel Reconstruction and TDAQ Optimization (VIBRATO)

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 study, we investigate the ability of large-language-model-driven agents to manage and guide the optimization workflow. The agent analyzes previously evaluated configurations, identifies performance trends, and proposes new trials across the full detector-design parameter space, extending beyond conventional Bayesian optimization.

We find that current frontier reasoning models, even without providing expert experiment-specific knowledge, can execute complex simulation workflows and proactively identify relevant directions for further investigation and design improvement. We demonstrate that an AI agent can identify favorable detector configurations under competing physics-performance objectives, improving key physics metrics while potentially reducing scientific labor, computational expenditure, and detector-development costs. This study establishes a foundation for increasingly autonomous detector optimization and represents a step toward the first fully AI-designed detector for a future scientific facility.

Speaker: Wonyong Chung (Princeton University)

19:35 Data rates from the Vertex detector and managing the beam backgrounds

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.

Speaker: Alexander Paramonov (Argonne National Laboratory)

19:35 Do the Tails Agree? WarpX vs GUINEA-PIG for FCC-ee Vertex Backgrounds

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 PIC code, has recently been benchmarked against GUINEA-PIG and Xsuite across a broad range of collider scenarios, including the FCC-ee Z and tt̄ operating points [1,2]. For both cases, the two codes agree to within 1.3% in total luminosity per bunch crossing relative to the geometric expectation, with convergence of this metric requiring resolution of the transverse beam size at the interaction point with several grid cells (Nᵧ ≥ 2048 for FCC-ee Z) [1]. WarpX production runs for these cases complete in the order of a few minutes on a single GPU node, versus several hours on a single CPU for GUINEA-PIG, at comparable physical fidelity. Building on this validated foundation, we shift focus from integrated luminosity to the differential, low-angle incoherent-pair distribution of the deflection ridge in the (pT, θ) plane, which most directly governs vertex-detector occupancy. We compare GUINEA-PIG and WarpX across all three FCC-ee operating points and assess agreement in the region most relevant to detector background estimates. We also outline next steps toward a full WarpX-to-detector-simulation pipeline.

[1] A. Formenti, R. Lehe, A. Huebl, S. S. Bulanov, A. Myers, J. Osterhoff, J.-L. Vay, S. Gessner, P. Kicsiny, A. Kinderman, B. Nguyen, and J. Park, "A modern particle-in-cell code for beam-beam simulations of future colliders," in preparation (2026).
[2] P. Kicsiny, "WarpX: a massively parallel PIC framework for future colliders," poster presented at FCC Week 2026, SLAC National Accelerator Laboratory (2026).

Speaker: Anna Kinderman (SLAC)

19:35 Final Focusing Quadrupoles, correctors and compensation Solenoid magnets for FCC-ee

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 self-consistent crosstalk compensation. The lattice requires variety of superconducting magnets in a very confined available radial space. BNL Magnet Division invented Direct Wind Superconducting magnet technology is a natural choice for accommodating final focusing quadrupoles and corrector magnets which out circles the main focusing quadrupole magnets. In the non-local compensation scheme, the screening solenoid remains inside the IR while the compensation solenoid will move out of the IR which is expected to simplify the overall challenges of the MDI. This talk will describe the comprehensive electromagnetic, cryogenic and interface design of the final focusing quadrupoles, corrector quadrupole, corrector dipole magnets and screening and compensation solenoid for FCCee IR with non-local compensation scheme which is recently downselected as the prefered option. Concept of hybrid direct winds magnets is developed to optimize the performance of final focusing quadrupoles for FCC-ee.

Speaker: Vikas Teotia (Brookhaven National Laboratory)

19:35 Guinea-Pig X: A GPU-Accelerated Port of GuineaPig for Beam-Beam Simulation at FCC-ee

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 GuineaPig that moves the bulk of the Particle-In-Cell (PIC) simulation steps onto the GPU. We will demonstrate how GPX achieves O(10x) improvement in simulation time compared to legacy GuineaPig, while providing statistically compatible outputs with GuineaPig. We will also present specific benchmarks of GPX on FCC-ee beam parameter scenarios, demonstrating the potential gains for the high-statistics campaigns required for luminosity-spectrum and beam-induced-background studies. Since each simulation occupies a single GPU, campaign throughput scales near-linearly with the number of available GPUs, making full-scale FCC-ee studies practical on a single multi-GPU node. We will close by discussing where the remaining bottlenecks lie and the outlook for further acceleration.

Speaker: Dimitris Ntounis (SLAC)

19:35 Simulation-Based Study of Highly Granular Silicon-Tungsten Electromagnetic Calorimeter for FCCee: Trade-offs between Pixel Granularity and Thermal Management

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 consumption and necessitates active cooling; accordingly, silicon pads are modeled as Monolithic Active Pixel Sensors (MAPS) with a 12 µm epitaxial layer, 50 µm total sensor thickness, and digital readout. Comparative performance metrics, including photon energy resolution and the stochastic and constant terms, are presented with and without integrated cooling for fixed pixel pitch, quantifying the trade-off between improved granularity and thermal management requirements for detector optimization.

Speaker: Prajita Bhattarai (SLAC)

19:35 Toward a $B_c$ Fragmentation-Fraction and $|V_{cb}|$ Measurement at FCC-ee:Truth-Level Validation of $B$-Hadron Flight Observables

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 $|V_{cb}|$, the $B_c$ decay constant, and possible New Physics contributions to $b \to c\tau\nu$ transitions.

A major limitation in translating a future $B_c^+ \to \tau^+ \nu_\tau$ signal yield into a branching fraction is the limited knowledge of the $B_c$ fragmentation fraction $f_{B_c}$. As a first step toward a future $B_c$ fragmentation-fraction and $|V_{cb}|$ analysis, this work performs a truth-level validation of $B$-hadron flight observables in simulated $e^+e^- \to Z \to b\bar{b}$ events. Ground-state $B$ hadrons are identified using generator-level particle history and classified into $B_d^0$, $B_u^+$, $B_s^0$, $B_c^+$, $\Lambda_b^0$, $\Xi_b$, and $\Omega_b$ categories. Then, their flight distance, lab-frame decay time, proper decay length, and proper decay time are reconstructed from truth-level production and decay information.

The preliminary results show physically sensible lifetime hierarchies. The $B_c^+$ category has a much shorter mean flight distance and proper decay time than the dominant $B_d^0$, $B_u^+$, and $B_s^0$ categories, consistent with the known short $B_c$ lifetime. The validated observables provide the basis for future studies of reconstructed-level lifetime separation, signal–background discrimination, BDT-based classification, and ultimately the extraction of $B_c$ production information needed for $B_c^+ \to \tau^+ \nu_\tau$ and $|V_{cb}|$ studies at FCC-ee.

Speaker: Mr Saheed Oyeniran (University of New Mexico)

Wednesday 9 September

08:30 → 10:10 Plenary

08:30 Welcome to SLAC

Speaker: John Sarrao (SLAC)

08:40 FCC project overview (TBA)

09:10 FCC PED Overview

Speaker: Guy Wilkinson

09:40 FCC Accelerator Progress

Speaker: Frank Zimmermann (CERN)

10:10 → 10:40 coffee break

10:40 → 12:25 Plenary

10:40 US engagement in FCC

Speaker: Regina Rameika

11:10 US FCC Accelerator efforts overview

Speaker: Tor Raubenheimer (SLAC)

11:30 US FCC PED efforts overview

Speakers: Srini Rajagopalan (BNL), Valentina Cairo (SLAC)

11:50 AI & Genesis: impact on future colliders

Speaker: Paolo Calafiura (LBL)

12:10 Collaboration forming

Speaker: Gregorio Bernardi

12:25 → 13:30 Lunch break

13:30 → 15:30 Accelerator parallels

13:30 The US Accelerator R&D Program

Speaker: TBC

14:00 The GARD RF Roadmap

Speaker: Sam Posen (Fermilab)

14:30 US Beam Physics and AI/ML R&D

Speaker: Jean-Luc Vay (LBNL)

15:00 The EIC and synergies with FCC-ee

Speaker: Luisella Lari (BNL)

13:30 → 15:30 Physics/Reconstruction/AI

13:30 FCC S&C Overview

Speaker: David Lange

14:00 Beam Backgrounds

14:20 Simulation and Reconstruction

Speaker: Giovanni Marchiori

14:45 Core Software and Detector Geometry

Speakers: Charles Leggett (LBNL), Vakho Tsulaia (LBNL)

15:10 Jet Flavor Tagging

15:30 → 16:00 coffee break

16:00 → 17:00 Accelerator parallels

16:00 R&D Opportunities for the US on FCC-ee

Speaker: Frank Zimmermann (CERN)

16:30 Status of the MDI for FCC-ee

Speaker: Manuela Boscolo (CERN/INFN)

16:00 → 17:00 Detector

16:00 The EIC and synergies with FCC-ee

Speaker: Ernst Sichtermann (LBL)

16:30 tracking/timing/silicon technologies within CPAD

Speaker: Anthony Affolder (University of California- Santa Cruz)

17:00 → 18:00 Panel discussion: US involvement in the TDR for FCC

18:30 → 20:30 Dinner: Conference Dinner

https://www.chefchu.com/ Chef's Chu
1067 N San Antonio Rd
Los Altos, CA 94022

Thursday 10 September

08:30 → 10:00 Accelerator parallels

08:30 HFCC-ACC Funding and alternate sources

Speaker: Tor Raubenheimer (SLAC)

09:00 RF Power sources for FCC-ee

Speaker: Emilio Nanni (SLAC)

09:30 IR magnets for FCC-ee

Speaker: Vikas Teotia (Brookhaven National Laboratory)

08:30 → 10:00 Report from DRDs

08:30 Gaseous tracking detectors

Speaker: Maxim Titov (CEA Saclay, Irfu)

08:50 DRD3 / Silicon Trackers

Speaker: Jerome Baudot (IPHC-Strasbourg)

09:10 Calorimetry

Speaker: Marc-Andre Pleier (BNL)

09:30 Electronics and Integration

Speaker: Frank Simon (KIT)

10:00 → 10:30 coffee break

10:30 → 12:00 Accelerator parallels

10:30 HTS Magnets for FCC-ee

Speaker: TBD

11:00 Integrated US SRF program for FCC-ee

Speaker: Matthias Liepe (Cornell)

11:30 AI / ML for Accelerator design and Operation

Speaker: TBD

10:30 → 12:00 Physics/Reconstruction/AI: AI for FCC-ee

10:30 AI for Jet Tagging

Speaker: Gregor Krzmanc (SLAC)

10:45 AI for PF

Speaker: Dolores Garcia (MIT)

11:00 AI for Detector Optimisation

Speaker: Wonyong Chung (Princeton University)

11:15 Intelligence on chip

Speaker: Qibin Liu (SLAC)

11:30 Discussion AI for FCC

12:00 → 13:30 Lunch break

13:30 → 15:00 Accelerator parallels

13:30 Additional Laboratory proposals

13:30 → 15:00 LDRD initiatives for PED & Computing

13:30 Fermi National Laboratory

Speaker: Victor Daniel Elvira (Fermi National Accelerator Laboratory)

13:45 SLAC National Laboratory

Speaker: Caterina Vernieri (SLAC)

14:00 Lawrence Berkeley

Speaker: Carl Haber (LBNL)

14:15 Brookhaven

Speaker: Marc-Andre Pleier (BNL)

14:30 Argonne

14:45 Discussion

15:00 → 15:30 coffee break

15:30 → 16:55 Accelerator parallels

15:30 Discussion and prioritization

15:30 → 16:55 PED overflow

15:30 Integrating stitched and coffea into the key4hep ecosystem

Speaker: Lindsey Gray (Fermilab)

15:50 Event Generators

Speaker: Saptaparna Bhattacharya (Northwestern University)

17:00 → 18:00 Panel discussion: Discussion on Early Career Scientists Engagement

Friday 11 September

08:30 → 10:00 Plenary

08:30 The impact of detector design and systematic uncertainties on physics measurements

09:00 Opportunities at the Z-pole focusing on Flavour physics

Speaker: Zoltan Ligeti (LBL)

09:30 CPAD efforts and FCC detectors needs

Speaker: Jonathan Asaadi (University of Texas Arlington)

10:00 → 10:30 coffee break

10:30 → 12:00 Plenary

10:30 Interaction Region developments

Speaker: Fabrizio Palla (INFN Pisa)

10:50 Accelerator summary and overview

Speaker: Tor Raubenheimer (SLAC)

11:10 Summary and Forward plans for Detector

11:30 Summary and Forward plans for Software/Computing