Name: Third MODE Workshop on Differentiable Programming for Experiment Design
Start: 2023-07-24T08:00:00-04:00
End: 2023-07-26T21:00:00-04:00
Location: Princeton University

Third MODE Workshop on Differentiable Programming for Experiment Design

from Monday, 24 July 2023 (08:00) to Wednesday, 26 July 2023 (21:00)

Monday, 24 July 2023

08:30 Breakfast and Registration/Check-In
Breakfast and Registration/Check-In
08:30 - 09:00
09:00
09:00 - 09:20
Contributions

09:00 Introduction of the workshop and welcome to Princeton - Peter Elmer (Princeton University (US)) Tommaso Dorigo (Universita e INFN, Padova (IT))
09:20 Part 1
Part 1
09:20 - 11:00
Contributions

09:20 Summary of the MIAPbP workshop on Differentiable Programming for Fundamental Physics - Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

10:00 Machine learning for particle physics simulations - Raghav Kansal (Univ. of California San Diego (US))

10:30 Smart pixels with data reduction at source - Jennet Elizabeth Dickinson (Fermi National Accelerator Lab. (US))
11:00 Coffee Break
Coffee Break
11:00 - 11:20
11:20
11:20 - 13:00
Contributions

11:20 Large Language Models: an Inter-disciplinary Perspective - Andrey Ustyuzhanin (Higher School of Economics)

12:10 Temporal Dynamics in Neuromorphic Computing: A New Frontier for Co-Design and Optimization in Physics and Machine Learning - Fredrik Sandin (Lulea University of Technology)
13:00 Lunch
Lunch
13:00 - 14:00
14:00 Part 1
Part 1
14:00 - 15:30
Contributions

14:00 Direct Dark Matter Experiments and Machine Learning - Aaron Higuera Pichardo

14:30 Optimization of Radio Detectors of Ultra-High Energy Neutrinos through Deep Learning and Differential Programming - Nils Heyer (Uppsala University)

15:00 Challenges of the LISA mission to detect gravitational waves from Space - Carlos F. Sopuerta (Institute of Space Sciences of the Spanish National Research Council (ICE, CSIC))
15:30 Coffee Break
Coffee Break
15:30 - 16:00
16:00 Part 1
Part 1
16:00 - 17:00
Contributions

16:00 Differentiating GATE/Geant4 with Derivgrind - Max Aehle

16:30 Reverse-Mode Automatic Differentiation in Futhark Language - Cosmin E. Oancea (DIKU, University of Copenhagen)
17:00

17:00 - 18:00

18:00 Workshop Reception - Palmer House
Workshop Reception - Palmer House
18:00 - 20:30
Tuesday, 25 July 2023

08:30 Breakfast
Breakfast
08:30 - 09:00
09:00 Part 2
Part 2
09:00 - 10:30
Contributions

09:00 Towards the optimization of a Muon Collider Electrmagnetic Calorimeter - Federico Nardi Federico Nardi (Universita e INFN, Padova (IT))

09:30 Cuts and NN - living together in peace - Gordon Watts (University of Washington (US))

10:00 Summary of CaloChallenge - Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT))
10:30 Follow up discussion on Lukas' talk
Follow up discussion on Lukas' talk
10:30 - 11:00

11:00 Group Photo
Group Photo
11:00 - 11:10

11:10 Coffee Break
Coffee Break
11:10 - 11:30
11:30 Part 1
Part 1
11:30 - 12:30
Contributions

11:30 Muography experiment optimization - Maxime Lagrange (CP3 Universite Catholique de Louvain)

12:00 Use of machine learning techniques for muography applied to industrial applications - Pablo Martinez Ruiz Del Arbol (Universidad de Cantabria and CSIC (ES))
12:30

12:30 - 13:00

13:00 Lunch
Lunch
13:00 - 14:00
14:00 Part 2
Part 2
14:00 - 15:10
Contributions

14:00 The GENETIS Project: optimizing detector designs for science outcomes - Amy Connolly (The Ohio State University)

14:30 Geometry Optimization of the SWGO Cherenkov Array - Tommaso Dorigo (Universita e INFN, Padova (IT))
15:10 Coffee Break
Coffee Break
15:10 - 15:40
15:40 Part 2
Part 2
15:40 - 16:40
Contributions

15:40 Making Likelihood Calculations Fast Using Automatic Differentiation in RooFit - Garima Singh (Princeton University (US))

16:10 Efficient C++ Derivatives Through Source Transformation AD With Clad - Vassil Vasilev (Princeton University (US))
16:40 Part 4
Part 4
16:40 - 17:40
Contributions

16:40 Toward particle identification in granular calorimeters - Aashish aggarwal Tommaso Dorigo (Universita e INFN, Padova (IT))

17:10 Energy Regression conditioned on Longitudinal Calorimeter Segmentation - Fernando Torales Acosta
18:00 Reception (Joint with PyHEP.dev workshop) - Louis A. Simpson International Building - Atrium
Reception (Joint with PyHEP.dev workshop) - Louis A. Simpson International Building - Atrium
18:00 - 20:00
Wednesday, 26 July 2023

08:30 Breakfast
Breakfast
08:30 - 09:00
09:00 Part 2
Part 2
09:00 - 10:00
Contributions

09:00 Ultra fast simulation algorithmics for industrial applications in Muon Tomography using GAN - Ruben Lopez Ruiz (Universidad de Cantabria and CSIC (ES))

09:30 Background suppression for volcano muography with machine learning - Gábor Galgóczi
10:00 Derivgrind
Derivgrind
10:00 - 11:00
Contributions

10:00 Derivgrind tutorial
11:00 Coffee Break
Coffee Break
11:00 - 11:30
11:30 Part 3
Part 3
11:30 - 13:00
Contributions

11:30 Gradients of Discrete Stochastic Programs for Detector Design Optimization - Michael Kagan (SLAC National Accelerator Laboratory (US))

12:00 ELSA and MadNIS - Ramon Winterhalder (UC Louvain)

12:30 The Geant4 particle transport simulation toolkit: differentiable? - Mihaly Novak (CERN)
13:00 Lunch
Lunch
13:00 - 14:00
14:00 Part 4
Part 4
14:00 - 14:30
Contributions

14:00 Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning - Hosein Hashemi (LMU Munich)
14:30 Part 3
Part 3
14:30 - 15:30
Contributions

14:30 LBNF/DUNE Optimization - Laura Johanna Fields (University of Notre Dame (US))

15:00 Differentiable Simulation of a Liquid Argon TPC for High-Dimensional Calibration - Pierre Granger (Centre National de la Recherche Scientifique (FR))
15:30 Coffee Break
Coffee Break
15:30 - 16:00
16:00
16:00 - 18:00
Contributions

16:00 Roundtable: organization of future activities

17:30 Highlights and workshop closing - Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))

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