JLab AI Town Hall
Monday, July 26, 2021 -
12:00 PM
Monday, July 26, 2021
2:00 PM
Welcome
-
David Lawrence
(
Jefferson Lab
)
Welcome
David Lawrence
(
Jefferson Lab
)
2:00 PM - 2:10 PM
2:10 PM
Deeply Learning deep inelastic scattering kinematics
-
Markus Diefenthaler
(
Jefferson Lab
)
Deeply Learning deep inelastic scattering kinematics
Markus Diefenthaler
(
Jefferson Lab
)
2:10 PM - 2:15 PM
2:15 PM
INTRA-ASTRA
-
Markus Diefenthaler
(
Jefferson Lab
)
INTRA-ASTRA
Markus Diefenthaler
(
Jefferson Lab
)
2:15 PM - 2:20 PM
2:20 PM
InclAI
-
Gabriel Niculescu
(
JMU
)
InclAI
Gabriel Niculescu
(
JMU
)
2:20 PM - 2:25 PM
2:25 PM
AI/ML for TRD
-
Yulia Furletova
(
JLAB
)
AI/ML for TRD
Yulia Furletova
(
JLAB
)
2:25 PM - 2:30 PM
2:30 PM
AI/ML on FPGA
-
Sergey Furletov
(
Jefferson Lab
)
AI/ML on FPGA
Sergey Furletov
(
Jefferson Lab
)
2:30 PM - 2:35 PM
2:35 PM
HYDRA
-
Thomas Britton
(
JLab
)
HYDRA
Thomas Britton
(
JLab
)
2:35 PM - 2:40 PM
2:40 PM
Exp. Controls using AI
-
Torri Jeske
(
JLAB
)
Exp. Controls using AI
Torri Jeske
(
JLAB
)
2:40 PM - 2:45 PM
2:45 PM
Track ID for Clusters
-
Gagik Gavalian
(
Jefferson Lab
)
Track ID for Clusters
Gagik Gavalian
(
Jefferson Lab
)
2:45 PM - 2:50 PM
2:50 PM
De-noisingDrift Chamber using Autoencoders
-
Gagik Gavalian
(
Jefferson Lab
)
De-noisingDrift Chamber using Autoencoders
Gagik Gavalian
(
Jefferson Lab
)
2:50 PM - 2:55 PM
2:55 PM
CLAS12 Level-3 trigger
-
Gagik Gavalian
(
Jefferson Lab
)
CLAS12 Level-3 trigger
Gagik Gavalian
(
Jefferson Lab
)
2:55 PM - 3:00 PM
3:00 PM
AI for reweighting MC di-hadron events for CLAS and CLAS12
-
Sebouh Paul
(
UC Riverside
)
AI for reweighting MC di-hadron events for CLAS and CLAS12
Sebouh Paul
(
UC Riverside
)
3:00 PM - 3:05 PM
3:05 PM
Training Classifiers with Autoencoder Event Generators in GlueX
-
Sean Dobbs
(
Florida State University
)
Training Classifiers with Autoencoder Event Generators in GlueX
Sean Dobbs
(
Florida State University
)
3:05 PM - 3:10 PM
3:10 PM
μ/π/e PID
-
David Lawrence
(
Jefferson Lab
)
μ/π/e PID
David Lawrence
(
Jefferson Lab
)
3:10 PM - 3:15 PM
3:15 PM
Solving the inverse problem at the event level
-
Nobuo Sato
(
Jefferson Lab
)
Solving the inverse problem at the event level
Nobuo Sato
(
Jefferson Lab
)
3:15 PM - 3:20 PM
3:20 PM
Physics-Aware Generative Adversarial Networks for Physics Event Generation
Physics-Aware Generative Adversarial Networks for Physics Event Generation
3:20 PM - 3:25 PM
3:25 PM
Neural Network Simulation of Detector Efficiency
Neural Network Simulation of Detector Efficiency
3:25 PM - 3:30 PM
3:30 PM
Unfolding of the CLAS detector with OmniFold
-
Luca Marsicano
(
INFN Genova
)
Unfolding of the CLAS detector with OmniFold
Luca Marsicano
(
INFN Genova
)
3:30 PM - 3:35 PM
3:35 PM
ML to access multi-d xsection in hadron physics
-
Marco Battaglieri
(
JLab/INFNGE
)
ML to access multi-d xsection in hadron physics
Marco Battaglieri
(
JLab/INFNGE
)
3:35 PM - 3:40 PM
3:40 PM
Validation of 2 pion cross section extraction
-
Evgeny Isupov
(
Moscow State U.
)
Validation of 2 pion cross section extraction
Evgeny Isupov
(
Moscow State U.
)
3:40 PM - 3:45 PM
3:45 PM
GAN uncertainty quantification in CLAS 2pi channel data analysis
GAN uncertainty quantification in CLAS 2pi channel data analysis
3:45 PM - 3:50 PM
3:50 PM
Validation of event generators with extraction of physics observables
-
Astrid Hiller Blin
(
Jefferson Lab
)
Validation of event generators with extraction of physics observables
Astrid Hiller Blin
(
Jefferson Lab
)
3:50 PM - 3:55 PM
3:55 PM
t-SNE analysis
t-SNE analysis
3:55 PM - 4:00 PM
4:00 PM
Application of t-SNE analysis to 2 pion data analysis
-
Marco Battaglieri
(
JLab/INFNGE
)
Application of t-SNE analysis to 2 pion data analysis
Marco Battaglieri
(
JLab/INFNGE
)
4:00 PM - 4:05 PM
4:05 PM
SAUCER: a VAE-based generative algorithm
SAUCER: a VAE-based generative algorithm
4:05 PM - 4:10 PM
4:10 PM
Detector Design Optimization for ECCE
-
Fanelli Cristiano
(
MIT
)
Detector Design Optimization for ECCE
Fanelli Cristiano
(
MIT
)
4:10 PM - 4:15 PM
4:15 PM
AIPWA
-
William Phelps
(
Christopher Newport University/Jefferson Lab
)
AIPWA
William Phelps
(
Christopher Newport University/Jefferson Lab
)
4:15 PM - 4:20 PM
4:20 PM
Anomalous Resonance Identification with Autoencoders
-
William Phelps
(
Christopher Newport University/Jefferson Lab
)
Anomalous Resonance Identification with Autoencoders
William Phelps
(
Christopher Newport University/Jefferson Lab
)
4:20 PM - 4:25 PM
4:25 PM
Modeling Magnetic Fields with deep neural networks
-
William Phelps
(
Christopher Newport University/Jefferson Lab
)
Modeling Magnetic Fields with deep neural networks
William Phelps
(
Christopher Newport University/Jefferson Lab
)
4:25 PM - 4:30 PM
4:30 PM
Modern extraction of Compton Form Factors using global fits with artificial neural networks.
-
Zulkaida Akbar
(
University of Virginia
)
Modern extraction of Compton Form Factors using global fits with artificial neural networks.
Zulkaida Akbar
(
University of Virginia
)
4:30 PM - 4:35 PM
4:35 PM
Further constraints with simultaneous fitting in DVCS
-
Liliet Calero Diaz
Further constraints with simultaneous fitting in DVCS
Liliet Calero Diaz
4:35 PM - 4:40 PM
4:40 PM
Improvement in polarization measurements using artificial intelligence
Improvement in polarization measurements using artificial intelligence
4:40 PM - 4:45 PM
4:45 PM
Machine Learning for FCAL-II Shower Classification
Machine Learning for FCAL-II Shower Classification
4:45 PM - 4:50 PM
4:50 PM
A.I.-supported Research and Development of Novel Composite Aerogel Materials for Nuclear Physics Detectors
-
Fanelli Cristiano
(
MIT
)
A.I.-supported Research and Development of Novel Composite Aerogel Materials for Nuclear Physics Detectors
Fanelli Cristiano
(
MIT
)
4:50 PM - 4:55 PM