Conveners
Day 1: Status of viability campaign
- Quentin Buat (University of Washington)
- Patrick Schwendimann (ETHZ)
Day 1: Test beam simulations
- Quentin Buat (University of Washington)
- Patrick Schwendimann (ETHZ)
Day 1: Software
- Quentin Buat (University of Washington)
- Patrick Schwendimann (ETHZ)
Day 1: Baseline Pipeline
- Patrick Schwendimann (ETHZ)
- Quentin Buat (University of Washington)
Day 1: AI
- Quentin Buat (University of Washington)
- Patrick Schwendimann (ETHZ)
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Quentin Buat (University of Washington)13/07/2026, 08:40
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Kolja Frahm (ETH Zurich)13/07/2026, 09:10
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Joshua LaBounty (University of Washington)13/07/2026, 09:40
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Patrick Schwendimann (ETHZ)13/07/2026, 10:10
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Patrick Schwendimann (ETHZ)13/07/2026, 10:50
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Kensuke Yamamoto (The University of Tokyo)13/07/2026, 11:10
We made significant progress on the LXe calorimeter reconstruction and are integrating the LXe reconstruction methods into the develop branch (called V3 before). This presentation gives an overview of the LXe calorimeter reconstruction and how to run the LXe option.
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Bradley Taylor (University of Washington - CENPA)13/07/2026, 13:00
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Sean Foster (Amherst College)13/07/2026, 13:20
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Jessie Yang (University of Washington)13/07/2026, 13:50
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Adam Molnar (SCIPP (Santa Cruz Institute for Particle Physics))13/07/2026, 14:10
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Omar Beesley (University of Washington)13/07/2026, 15:00
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John Carlton (University of Kentucky)13/07/2026, 15:30
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David Gallacher (McGill Univeristy)13/07/2026, 15:50
We present a graph neural network-based approach to calorimeter shower reconstruction in liquid xenon, under development for the PIONEER experiment's LXe calorimeter option. The method employs a GravNet backbone operating on a graph of active sensors as nodes, with node features encoding spatial position, sensor type, and a compact temporal representation of photon arrival times via a learned...
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Tyler Barrett (Cornell University)
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Patrick Schwendimann (ETHZ), Quentin Buat (University of Washington)