Preparation of DAS long exercises
SR 4a/b
https://cern.zoom.us/j/64087077370?pwd=bX5hTzCoYEwMnTsUaT4MX0JPxwnn8l.1
General points:
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Please focus on Run 3 if you can
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Test test test! (ask summer students to test?)
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How much space do you need?
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At least for long exercises: make sure the space is used well, like installing one thing in one place and another thing in another space. No 100 GB AFS space available for participants :)
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docs.cern.ch (md) instruction pages very useful for the exercises and for documentation for later usage. If interested, you can contact the TOP exercise facilitators Evan and Dominic
For the timetable:
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Consider cut-off for the long exercises with deadline to upload slides, give time to practice slides → important for facilitators to mind giving the students enough time to prepare the talk
Inclusive jets (SMP) - Patrick Connor
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1 TB EOS account more than enough
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Short exercise on unfolding is combine-based rather than TUnfold, so yes, please cover TUnfold as part of your long exercise
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All 3 options for exercise are fine with us. Practically: choose the one that’s easiest to find a co-facilitator
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No other 2D cross section measurement, so that might be good to choose
Ttbar cross section (TOP) - Evan Ranken and Dominic Stafford
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Could recruit a 3rd facilitator once we know how many participants for the exercise (would want if > 6 participants)
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Exercise-specific pre-exercise: not essential if done before, but helpful if done
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Need to give them the list of participants for this exercise well in advance of DAS starting
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Uses pepper, runs on nanoAOD
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Includes combine component (doesn’t matter if not everyone has seen combine in short exercise)
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Add to pre-exercises: request extensions on space
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Ask O&C about 2025 DAS directory for big exercise files. Only facilitators have write access?
Higgs to 4 leptons (HIG) - Daniel Savoiu, Matteo Bonanomi
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Setting it up on lxplus
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Prerequisite: grid certificate
Displaced search (EXO) - Jeremi Niedziela
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First time for this exercise
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Based on the TEA framework (loops, c++ and python)
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Runs over LLPnanoAOD
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Would be useful to use data in ABCD (other long exercises may not use)
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Would be good also for later documentation for ABCD: use EXO methods forum docs
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Should have combine limits, central corrections, (more optionally: muons and jets) short exercises as prerequisite
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Other facilitators? Jeremi will look
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Good to inject signal into data 🙂
Anomaly detection (EXO) - Karim?
Dark matter (EXO/NPS) - Danyer Perez Adan
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Will prepare monojet analysis exercise from 2024, it was well documented
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Can look for facilitator from DESY, but not a problem if we don’t find one since it’s his own framework. Dominic? Mostly need someone in the room, rather than on the technical side
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Will use his own framework based on c++
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AFS for setting up scripts and submitting jobs, storage on EOS
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Either use samples from 2024 school or use 2016 Open Data on EOS
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Conclusion from meeting: don’t use Open Data
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Grid access is prerequisite
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Dependent on MET. need short exercise on MET or ask Andreas if he can include something on MET in the jet exercise. Or could be part of this long exercise
**write down: max of 3 short exercises per participant
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Add a facilitators mattermost channel
Next meeting: late august