1. Sergei V. Gleyzer University of Florida
Machine Learning CWP
Sergei V. Gleyzer
University of Florida
CWP Workshop Annecy
June 26, 2017

2. Sergei V. Gleyzer CWP Workshop Annecy
WG Charge
Scope: Machine Learning algorithms play an important role in many facets of today’s HEP data analysis, data-processing and detector applications. Machine-learning tools already form an important part of HEP software. To overcome the challenges related to data-processing and analysis of upcoming very large HEP data-sets, it is important to plan ahead for how HEP machine-learning software and tools develop. This group will work on both identifying the challenges related to machine-learning software in HEP and proposing possible solutions and a community roadmap towards better HEP-ML software.
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

3. Sergei V. Gleyzer CWP Workshop Annecy
Challenges
Rare physics signals
High backgrounds
High-pileup and event complexity
Under these conditions ML algorithms out-perform traditional approaches
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

4. Sergei V. Gleyzer CWP Workshop Annecy
R&D Investment
More powerful, easier to use tools
Much more flexible and integrated eco-system that exploits best data formats, algorithms and hardware
Ability to apply algorithms in real-time environments
Training the community
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

5. Object Identification
Interesting areas
Fast Simulation
Particle Tracking
Object Identification
Tracking: 100s particle trajectories low-level data Fast simulation: lots of computing power use, 10min/event Object id: Deep learning, use timing evolution
Trigger: Throwing away 99.9%, fast, smarter Calo: posed as an image problem More: correlations
Trigger
Imaging Calorimetry
Simulation
06/19/2017

6. Sergei V. Gleyzer CWP Workshop Annecy
R&D
Fast Detector Simulation
Deep learning applications
Pattern Recognition in Tracking and Trigger
Imaging techniques for physics
Calorimetry, physics object and event identification and reconstruction
Feature extraction and unsupervised learning
Regression
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

7. Sergei V. Gleyzer CWP Workshop Annecy
Status
Editing in progress
CWP-ML
Key ideas in place
Review which parts are more broad to HEP
Expect to have a first draft by end of workshop
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

8. Commonality/External
A lot of cross-experimental benefit and progress from ML software and tools
Leveraging external tools and algorithms developed outside of HEP an important component
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

9. Sergei V. Gleyzer CWP Workshop Annecy
Topics
A. External and Internal ML Tools
B. New applications of ML and R&D
C. Resources and related: Interactive,
HPC, Cloud, GPUs, Storage
D. Bridges to other communities
E. Training the Community
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

10. Sergei V. Gleyzer CWP Workshop Annecy
Cross-cutting
Naturally cross-cutting topic:
Event reconstruction
Software and trigger
Generators
Data analysis
Visualization
Training
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

11. Sergei V. Gleyzer CWP Workshop Annecy
Primary Activities
HSF Workshop in January
IML Workshop in April
Workshop in May
HSF Annecy Workshop
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

12. Sergei V. Gleyzer CWP Workshop Annecy
Primary Organizers
Sergei Gleyzer (CMS)
Steven Schramm, Mathew Feichert (ATLAS)
Paul Seyfert (LHCb)
Fernanda Psihas (NOvA)
Many individual contributors
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy

13. Sergei V. Gleyzer CWP Workshop Annecy
Thank You
06/26/2017
Sergei V. Gleyzer CWP Workshop Annecy