Epic-backward-hcal-l mailing list

[Leszek Kosarzewski <leszek.kosarzewski AT gmail.com>]

Dear Colleagues

Today we had a very productive meeting. Thanks for the updates! Here are the main points discussed and tasks to do:

It looks like clustering is performing very well - good enough for jet study.

Here are the check for Subhadip and Alexandr

1. Check the performance for all events insted of requiring exactly 1 reco and 1 truth cluster

2. Check logWeightBase impact on clustering performance - adjust it based on the Awes et. al. paper
3. Do position resolution study for: 5cm x 5cm tiles, 15 cm x 15 cm, 25 cm x 25 cm - try to describe the scaling of resolution with tile size using a fit
4. See if adjusting the localDistXY to values greater than 15 cm affects clustering with eg. 20 cm tiles
5. Adjusting logWeightBase may reduce the difference between reco and truth clusters for the outer high material-budget region
6. Check nhits vs. energy for reco and truth clusters
7. Calculate average efficiency and resolution vs. energy to see the scaling - try to describe it with a fit ~1/sqrt(E)

David

1. Contact Daniel and LFHCAL group to understand the difference between their training results

2. Check the ML parameters and send them to us - some may impact the training performance

Best regards, Leszek

śr., 6 mar 2024 o 22:57 Leszek Kosarzewski <leszek.kosarzewski AT gmail.com> napisał(a):

Dear Colleagues

We are going to have a DSC meeting on Friday at 0900h. Here's the link:

https://osu.zoom.us/j/99011057540?pwd=QmNhTDBrNmMyckdWYnJqcmFLMHl5QT09

As we discussed last time, we plan to have work in progress updates on the tasks:

1. Clustering optimization. I contacted experts via calorimetry mailing list. Make sure you follow this discussion. There is also a way to pass parameters to eicrecon, without the need to recompile it: https://eicrecon.epic-eic.org/#/table_flags/flags_view , but please make sure they get passed to the algorithm. I have a feeling that some hardcoded values may remain unaffected.

2. Position resolution study - progress.

3. Neutron reconstruction with ML - update.

Best regards, Leszek