Preparation of PO&DAS23 (topical exercises)

Tuesday 5 Sept 2023, 10:30 → 12:30 Europe/Berlin

Zoom link: https://cern.zoom.us/j/61532761187?pwd=bnd0aFIrM3JHV05oYnpOZm11cFh6dz09
Meeting ID: 615 3276 1187
Passcode: 770451
 

Questions to all facilitators:

1. do have special computing requirements? (default: standard NAF account with NFS and HTCondor)
2. are you looking for more facilitators? (we want at least 2, ideally one of them being based in Hamburg)
3. are you planning any pre-exercises? (recommended to set up environment)
4. does your exercise depend on another exercise? (e.g. PAG inclusive jet depends on POG jets)
5. anything else?

1 Topical exercise: Anomaly detection

Speakers: Louis Moureaux (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Patrick Connor (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik) & CDCS)

2 Topical exercise: Scikit Learn

Speaker: Matthias Komm (CMS (CMS Fachgruppe Searches))

3 Topical exercise: RDataFrame

Speakers: Cristina Alexe, Suvankar Chowdhury, Suvankar Roy Chowdhury

RDataFrame Tutorial.pdf

slides shown will send them. ROOT via cvmfs. check if one can manage in 2h.

4 Topical exercise: Git

Speakers: Lars Olaf Stietz (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Samuel Bein (University of Hamburg)

5 Topical exercise: MC techniques

Speakers: Mikel Mendizabal Morentin (DESY), Paris Gianneios, Polidamas Kosmoglou

need to talk among facilitators (either same as DAS19 or primarily based on that)

6 Topical exercise: Combine

Speakers: Aliya Nigamova (University of Hamburg), Matteo Bonanomi (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Philip Daniel Keicher (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))

Combine_UHHDESYDASPOS2023.pdf

include a bonus on ci-validation-combine

7 Topical exercise: ML (Keras)

Speakers: Karim El-Morabit (UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik)), Lisa Benato (Hamburg University)

8 Topical exercise: unfolding

Speakers: 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

9 Topical exercise: ML (PyTorch)

10 Topical exercise: CMSSW

Speakers: Océane Poncet, Suvankar Chowdhury, Suvankar Roy Chowdhury

RDataFrame Tutorial.pdf

slides shown will send them, focus on MiniAOD (not Nano), runTheMatrix to understand a full chain, introductory slides maybe also a bit about releases, parameters, configdump

11 Topical exercise: Columnar analysis

Speakers: Laurids Jeppe (CMS (CMS Fachgruppe TOP)), Océane Poncet

likely take from a recent LPC exercise

12 Topical exercise: ROOT