Speaker
Description
CMS is investing resources in the scouting stream but its use so far has been limited to a few applications, mostly with jets and muons. Scouting has more potential than that, particularly with its extension at L1, being investigated in Run 3 and to reach its best in HL-LHC. One of the limiting factor towards a broad use of scouting is the resolution loss online also due to resource constraints, with respect to the offline reconstruction. We propose to address this issue using super-resolution models, per-object (jet, leptons, etc) resolution and object identification, upscaling models similar to what is done in data analysis to unfold high-level features to generator-level view of the event. This naturally extends to the standard L1T and HLT streams and reconstruction.
CERN group/ Experiment
EP-CMG
| Working area | Area 2: Optimal AI deployment for Online Data Processing |
|---|---|
| Project goals | Make scouting resolution closer to offline-like for Run3, while preparing for HL-LHC. Deliver a first HLT/HLT Scouting model. |
| Timeline | 3 years |
| Available person power | 0 |
| Additional person power request | 2 PhD students |
| Is this an already ongoing activity? | No |
| Indicative hardware resources needs | Access to a GPU cluster with LCG-like software stack and cvmfs access with fast storage facilities across the full duration of the project |