Collaboration meeting
von
Montag, 14. Februar 2022(09:00)
bis
Dienstag, 15. Februar 2022(18:00)
Montag, 14. Februar 2022
14:00
Welcome
-
Thomas Kuhr
(
LMU
)
Welcome
Thomas Kuhr
(
LMU
)
14:00 - 14:10
14:10
Efficient use, tests and benchmarks of a dynamic caching solution based on XRootD
-
Dirk Sammel
Efficient use, tests and benchmarks of a dynamic caching solution based on XRootD
Dirk Sammel
14:10 - 14:30
14:30
XCache for grid computing and analysis
-
Nikolai Hartmann
XCache for grid computing and analysis
Nikolai Hartmann
14:30 - 14:50
14:50
Towards a Caching Infrastructure for HEP-Germany
-
Maximilian Horzela
Towards a Caching Infrastructure for HEP-Germany
Maximilian Horzela
14:50 - 15:10
15:10
Coffee break
Coffee break
15:10 - 15:30
15:30
Dynamic Integration of Opportunistic Computing Resources for HEP in Germany
-
Matthias Schnepf
Dynamic Integration of Opportunistic Computing Resources for HEP in Germany
Matthias Schnepf
15:30 - 15:50
15:50
Tools, Integration, and operation of heterogeneous resources in scientific computing
-
Stefan Kroboth
(
Albert Ludwigs Universität Freiburg
)
Tools, Integration, and operation of heterogeneous resources in scientific computing
Stefan Kroboth
(
Albert Ludwigs Universität Freiburg
)
15:50 - 16:10
16:10
Interactive Plotting and Deep-Learning-Quickstarts
-
Peter Fackeldey
(
RWTH Aachen University
)
Benjamin Fischer
Interactive Plotting and Deep-Learning-Quickstarts
Peter Fackeldey
(
RWTH Aachen University
)
Benjamin Fischer
16:10 - 16:30
16:30
High-performance, deep neural networks with sub-microsecond latency on FPGAs for trigger applications
-
Christian Schmitt
(
Uni Mainz
)
High-performance, deep neural networks with sub-microsecond latency on FPGAs for trigger applications
Christian Schmitt
(
Uni Mainz
)
16:30 - 16:50
16:50
Coffee break
Coffee break
16:50 - 17:10
17:10
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
-
Sascha Diefenbacher
Gregor Kasieczka
(
Uni Hamburg
)
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
Sascha Diefenbacher
Gregor Kasieczka
(
Uni Hamburg
)
17:10 - 17:30
17:30
Realistic Calomplification
-
Sebastian Bieringer
Gregor Kasieczka
(
Uni Hamburg
)
Realistic Calomplification
Sebastian Bieringer
Gregor Kasieczka
(
Uni Hamburg
)
17:30 - 17:50
17:50
Vectorised Neutrino Reconstruction by Computing Graphs
-
Dennis Noll
Vectorised Neutrino Reconstruction by Computing Graphs
Dennis Noll
17:50 - 18:10
18:10
PointNet for event characterization at CBM experiment
-
Manjunath Omana Kuttan
PointNet for event characterization at CBM experiment
Manjunath Omana Kuttan
18:10 - 18:30
18:30
DL-based PMT photon counting and a normalizing-flow package for (astro-)particle physics
-
Thorsten Glüsenkamp
DL-based PMT photon counting and a normalizing-flow package for (astro-)particle physics
Thorsten Glüsenkamp
18:30 - 18:50
Dienstag, 15. Februar 2022
08:40
Dynamic Cloud for Opportunistic Usage of Frankfurt and GSI Cluster based on HTCondor
-
Serhat Atay
(
Goethe University Frankfurt
)
Dynamic Cloud for Opportunistic Usage of Frankfurt and GSI Cluster based on HTCondor
Serhat Atay
(
Goethe University Frankfurt
)
08:40 - 09:00
09:00
Improved Selective Background Monte Carlo Simulation at Belle II with Graph Attention Networks and Weighted Events
-
Boyang Yu
(
LMU
)
Improved Selective Background Monte Carlo Simulation at Belle II with Graph Attention Networks and Weighted Events
Boyang Yu
(
LMU
)
09:00 - 09:20
09:20
Point Cloud Generative Networks
-
Erik Buhmann
(
Uni Hamburg
)
Point Cloud Generative Networks
Erik Buhmann
(
Uni Hamburg
)
09:20 - 09:40
09:40
IEA-GAN: Intra-Event Aware GAN for the Fast Simulation of PXD Background at Belle II
-
Hosein Hashemi
IEA-GAN: Intra-Event Aware GAN for the Fast Simulation of PXD Background at Belle II
Hosein Hashemi
09:40 - 10:00
10:00
Deep Learning for the Pierre Auger Observatory and its Upgrade
-
Niklas Langner
Jonas Glombitza
(
RWTH Aachen University
)
Deep Learning for the Pierre Auger Observatory and its Upgrade
Niklas Langner
Jonas Glombitza
(
RWTH Aachen University
)
10:00 - 10:20
10:20
Coffee break
Coffee break
10:20 - 10:40
10:40
Cellular Automaton based end-cap track finder in ACTS
-
Ivan Kisel
(
Uni-Frankfurt
)
Cellular Automaton based end-cap track finder in ACTS
Ivan Kisel
(
Uni-Frankfurt
)
10:40 - 11:00
11:00
Chi2 track fitting in ACTS
-
Ralf Farkas
Chi2 track fitting in ACTS
Ralf Farkas
11:00 - 11:20
11:20
Usage of ACTS (C)KF in FASER
-
Tobias Boeckh
Usage of ACTS (C)KF in FASER
Tobias Boeckh
11:20 - 11:40
11:40
Feedback
Feedback
11:40 - 12:00
12:00
PI Meeting
PI Meeting
12:00 - 13:00