Preparation of PO&DAS23 (topical exercises)
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Europe/Berlin
Description
Zoom link: https://cern.zoom.us/j/61532761187?pwd=bnd0aFIrM3JHV05oYnpOZm11cFh6dz09
Meeting ID: 615 3276 1187
Passcode: 770451
Questions to all facilitators:
- do have special computing requirements? (default: standard NAF account with NFS and HTCondor)
- are you looking for more facilitators? (we want at least 2, ideally one of them being based in Hamburg)
- are you planning any pre-exercises? (recommended to set up environment)
- does your exercise depend on another exercise? (e.g. PAG inclusive jet depends on POG jets)
- anything else?
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10:30
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10:35
Topical exercise: Anomaly detection 5mSpeakers: Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)
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10:40
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10:45
Topical exercise: Scikit Learn 5mSpeaker: Matthias Komm (CMS (CMS Fachgruppe Searches))
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10:50
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10:55
Topical exercise: RDataFrame 5mSpeakers: Cristina Alexe, Suvankar Chowdhury, Suvankar Roy Chowdhury
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11:00
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11:05
Topical exercise: Git 5mSpeakers: Lars Olaf Stietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Samuel Bein (University of Hamburg)
- 11:10 → 11:15
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11:20
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11:25
Topical exercise: Combine 5mSpeakers: Aliya Nigamova (University of Hamburg), Matteo Bonanomi (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Philip Daniel Keicher (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
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11:30
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11:35
Topical exercise: ML (Keras) 5mSpeakers: Karim El-Morabit (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Lisa Benato (Hamburg University)
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11:40
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11:45
Topical exercise: unfolding 5mSpeakers: Matteo Defranchis (CERN), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)
- theory part where we mention the most commonly used methods, i.e. bin-by-bin, pure matrix inversion, least-square minimisation with or without Tikhonov regularisation, D'Agostini iterative unfolding, maximum likelihood with combine, ...
- to recycle the examples in TUnfold for the exercises
- additional examples with combine
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11:50
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11:55
Topical exercise: ML (PyTorch) 5m
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12:00
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12:05
Topical exercise: CMSSW 5mSpeakers: Océane Poncet, Suvankar Chowdhury, Suvankar Roy Chowdhury
- 12:10 → 12:15
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12:20
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12:25
Topical exercise: ROOT 5m
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10:30
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10:35