Name: Connecting The Dots 2022
Start: 2022-05-31T09:00:00-04:00
End: 2022-06-02T17:00:00-04:00
Location: Princeton University

Connecting The Dots 2022

from Tuesday, 31 May 2022 (09:00) to Thursday, 2 June 2022 (17:00)

Monday, 30 May 2022
Tuesday, 31 May 2022
09:00
09:00 - 10:30
Contributions

09:00 Welcome and Introduction - David Lange (Princeton University (US))

09:30 Allen in the First Days of Run 3 - Thomas Boettcher (University of Cincinnati (US))

10:00 Deep Learning Track Reconstruction for TeV-PeV Cosmic Rays in Space - Andrii Tykhonov (Universite de Geneve (CH))
10:30
10:30 - 10:33
Contributions

10:30 Improving the performance of dealing with non-ideal tracks within ATLAS reconstruction - Donal Joseph Mc Laughlin (UCL)
11:00
11:00 - 12:30
Room: PCTS conference room 4th floor
Contributions

11:00 Track Finding and Neural Network-Based Primary Vertex Reconstruction with FPGAs for the Upgrade of the CMS Level-1 Trigger System - Christopher Edward Brown (Imperial College (GB))

11:30 The Tracking at Belle II - Radek Zlebcik (Charles University) Radek Zlebcik (Deutsches Elektronen-Synchrotron (DE))

12:00 Learning to Discover workshops - Andreas Salzburger (CERN)
12:30
12:30 - 12:33
Contributions

12:30 ExaTrkX as a Service - Xiangyang Ju (Lawrence Berkeley National Lab. (US))
14:00
14:00 - 15:30
Room: PCTS Conference room, 4th floor
Contributions

14:00 Implementation of ACTS into LDMX track reconstruction - Pierfrancesco Butti (SLAC National Accelerator Laboratory (US))

14:30 Line Segment Tracking in the HL-LHC - Balaji Venkat Sathia Narayanan (Univ. of California San Diego (US))

15:00 traccc - GPU Track reconstruction demonstrator for HEP - Beomki Yeo (Lawrence Berkeley National Lab. (US))
15:30
15:30 - 15:36
Contributions

15:30 Linearized Track-Fitting on an FPGA - Joachim Zinsser (Ruprecht Karls Universitaet Heidelberg (DE))

15:33 Optimizing the Exa.TrkX Inference Pipeline for Manycore CPUs - Alina Lazar
16:00
16:00 - 18:00
Room: PCTS conference room (4th floor)
Contributions

16:00 ATLAS ITk Track Reconstruction with a GNN-based Pipeline - Charline Rougier (Laboratoire des 2 Infinis - Toulouse, CNRS / Univ. Paul Sabatier (FR))

16:30 Graph Neural Networks for Pattern Recognition & Fast Track Finding - Nisha Lad (UCL)

17:00 Graph Neural Networks for Charged Particle Tracking on FPGAs - Abdelrahman Elabd (IRIS-HEP)
18:00
18:00 - 18:03
Contributions

18:00 Software Performance of the ATLAS Track Reconstruction for LHC Run 3 - Makayla Vessella (University of Massachusetts (US))
18:30 Poster Session / Reception
Poster Session / Reception
18:30 - 20:00
Wednesday, 1 June 2022
09:00
09:00 - 10:30
Room: PCTS conference room (4th floor)
Contributions

09:00 Vecpar - a portable parallelization library - Georgiana Mania (Deutsches Elektronen-Synchrotron (DE))

09:30 Present and future of online tracking in CMS - Adriano Di Florio (Politecnico e INFN, Bari)

10:00 Accelerated graph building for particle tracking graph neural nets - Liv Helen Vage (Imperial College (GB))
10:30 Workshop photo
Workshop photo
10:30 - 10:40
11:10
11:10 - 12:25
Room: PCTS conference room (4th floor)
Contributions

11:10 Jet Flavor Tagging Using Graph Neural Networks - Nilotpal Kakati (Weizmann Institute of Science (IL))

11:30 One person’s trash is another person’s treasure: expanding physics reach with unused tracks - Izaac Sanderswood (Univ. of Valencia and CSIC (ES))

11:50 LHCb's Forward Tracking algorithm for the Run 3 CPU-based online track reconstruction sequence - André Günther (Ruprecht Karls Universitaet Heidelberg (DE))

12:10 Improved Track Reconstruction Performance for Long-lived Particles in ATLAS - Jackson Carl Burzynski (Simon Fraser University (CA))
14:00
14:00 - 15:30
Room: PCTS conference room (4th floor)
Contributions

14:00 Event Filter Tracking for the Upgrade of the ATLAS Trigger and Data Acquisition System - Jiri Masik (University of Manchester (GB))

14:30 4D Track Reconstruction at the sPHENIX Experiment - Joe Osborn (Oak Ridge National Laboratory)

14:55 The ATLAS Inner Detector tracking trigger at 13 TeV in LHC Run-2 and new developments on standard and unconventional tracking signatures for the upcoming LHC Run-3 - Jonathan Long (Univ. Illinois at Urbana Champaign (US))
16:00
16:00 - 17:45
Room: PCTS conference room (4th floor)
Contributions

16:00 Towards a Track Condensation Network - Gage DeZoort (Princeton University (US))

16:20 Graph Neural Network for Three Dimensional Object Reconstruction in Liquid Argon Time Projection Chambers - Kaushal Gumpula (UChicago)

16:50 Fast and flexible data structures for the LHCb run 3 software trigger - Sevda Esen (Universitaet Zuerich (CH))
19:00

19:00 - 21:00
Thursday, 2 June 2022
09:00
09:00 - 10:00
Room: PCTS conference room (4th floor)
Contributions

09:00 Tracking on GPU at LHCb’s fully software trigger - Alessandro Scarabotto (Centre National de la Recherche Scientifique (FR))

09:30 Track reconstruction in the LUXE experiment using quantum algorithms - David Spataro
10:00
10:00 - 11:00
Room: PCTS conference room (4th floor)
Contributions

10:00 GPU-based algorithms for the CMS track clustering and primary vertex reconstruction for the Run 3 and Phase II of the LHC - Carlos Francisco Erice Cid (Boston University (US))

10:20 Track Finding for the PANDA Experiment - Anna Alicke

10:40 Exploration of different parameter optimization algorithms within the context of ACTS software framework - Rocky Bala Garg (Stanford University (US))
11:30
11:30 - 12:40
Room: PCTS conference room (4th floor)
Contributions

11:30 Track Reconstruction using Geometric Deep Learning in the Straw Tube Tracker (STT) at the PANDA Experiment - Adeel Akram (PANDA Collaboration)

11:50 ATLAS Inner Detector alignment towards Run 3 - Alexander Thaler (University of Innsbruck (AT)) David Munoz Perez (Univ. of Valencia and CSIC (ES)) Javier Jimenez Pena (Max Planck Society (DE)) Mariam Chitishvili (Instituto de Física Corpuscular (IFIC)) Paolo Sabatini (Instituto de Fisica Corpuscular (IFIC), Centro Mixto Universidad de Valencia - CSIC)

12:10 Standalone track reconstruction and matching algorithms for GPU-based High level trigger at LHCb - Brij Kishor Jashal (Instituto de Física Corpuscular, Valencia)
13:30
13:30 - 15:00
Room: PCTS conference room (4th floor)
Contributions

13:30 Track Reconstruction at the Electron-Ion Collider - Shujie Li (University of New Hampshire)

14:00 Application of machine learning in muon scattering tomography for better image reconstruction - Sridhar Tripathy (York College, New York)

14:30 Real-time alignment procedure at the LHCb experiment for Run3 - Florian Reiss (University of Manchester (GB))
15:00
15:00 - 16:00
Room: PCTS conference room (4th floor)
Contributions

15:00 Call for the next CTD/WIT conference - Andreas Salzburger (CERN)

15:10 Wrap-up - David Lange (Princeton University (US))

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