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Topics for Consideration

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session 1

PDFs:
- dealing with scale uncertainties in PDF fits
- benchmark studies for current generation of PDFs, e.g. top distributions
- dealing with tensions in LHC data, i.e. ATLAS jets vs CMS jets, top distributions
  - does each group have the same reaction to the tensions?
  - how to get the greatest knowledge from distributions with tensions?
- dealing with NNLO grids (NNLOJET)

Parton Showers:
- LH17 showed that PS predictions agree well with each other when input parameters are synchronized; reasonable physics choices then lead to differences; can we establish the limit of what these reasonable physics choices are?

ME+PS:
- better understanding of limits of precision for ME/ME+PS calculations
- uncertainties in matching PS with ME
- better understanding of 'reasonable' scale uncertainties at NNLO
- precision predictions in the high pT frontier

Progress with higher order calculations:
- any benchmarking, for example DY at NNLO?
- improvements for evaluation of 2→2 at NNLO
- loopedia
- outlook for 2→3 NNLO
- 3-loop, e.g. Higgs rapidity
- compact expressions at the amplitude level
- ntuples for NNLO

Jets: Where is quark/gluon discrimination useful? How does it perform? Examples:
- PDFs
- VBF
- X→gg
- Susy cascades
- ISR tagging
- W tagging
- top tagging

Higgs
SM Issues
- Parton shower and underlying event related systematics in Higgs measurements for signal and background (together with Loops,Multilegs,Jets)
- Predictions+uncertainty models for backgrounds to ttH production: tt+HF, ggH+HF, tt+V
- STXS:
  - Brainstorming on “STXS for Higgs decays” or something similar for decay propery measurements
  - Updates on STXS for production
- Background function choice for H→gamgam and H→mumu: how to evaluate the functional choice systematics
New Physics and Higgs
- Higgs pairs: lambda_HHH from single & double;
- VBF Higgs pairs: C2v, Cv relation
- Rare decays: benchmark for H→aa→gamgamgamgam

MC and Tools
- ttbar: mismodeling of top pt and an angular distributions
- W-mass and precise EW measurements: where are the bottlenecks?
- …more to come…

session 2

BSM and Machine Learning
- Determination of model parameters
- 2d/3d/4d Image analysis for HEP e.g. jets
- New Searches with ML (search algorithms, generic searches, automatisation, density estimation, deep networks / auto-encoders etc.)
- Learning Phenomenally predictions (limits, likelihoods, cross sections)
- Generative models for HEP

Les Houches