Speaker
Josh Bendavid
(CERN)
Description
High performance maximum likelihood fitting and associated statistical analysis tools, initially based on Tensorflow 1 (combinetf) and used for precision measurements (CMS W helicity, W mass), now re-written with Tensorflow 2 (RABBIT) and being used for in-progress CMS alphaS measurement, etc. Older combinetf has also been used for some of the analyses in the FCC feasibility study
CERN group/ Experiment
EP-CMG, EP-FCC
| Working area | Area 1" Cutting Edge AI for Offline Data Processing |
|---|---|
| Project goals | Continue developing functionality and facilitating general use of Rabbit for LHC and FCC analysis |
| Timeline | Additional features, documentation, and support over the next 3 years. |
| Available person power | 10-20% of two postdocs |
| Additional person power request | Supervision from staff |
| Is this an already ongoing activity? | Yes |
| Indicative hardware resources needs | Access to a GPU and a CPU cluster or individual machines with many cores, with LCG-like software stack and cvmfs access with fast storage facilities across the full duration of the project |
Author
Josh Bendavid
(CERN)
Co-authors
David Walter
(Massachusetts Inst. of Technology (US))
Jan Eysermans
(Massachusetts Inst. of Technology (US))