2023:topics
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2023:topics [2023/03/08 17:21] stephen.jones [Session 1] |
2023:topics [2023/06/22 09:47] julian.berengut [Session 2] |
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| ===== List of topics for 2023 ====== | ===== List of topics for 2023 ====== | ||
| //(accessible to everyone, editing rights to conveners and organizers)// | //(accessible to everyone, editing rights to conveners and organizers)// | ||
| + | --------------------------- | ||
| ==== Session 1 ==== | ==== Session 1 ==== | ||
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| * Miscellaneous | * Miscellaneous | ||
| * forward physics -> FASER. Anything needed from SM point of view? | * forward physics -> FASER. Anything needed from SM point of view? | ||
| + | |||
| + | * Machine Learning | ||
| + | * Matrix Element calculation using ML | ||
| + | * Interpretable models | ||
| + | * Fast surrogate models for physics simulations | ||
| + | * Workflows and interoperability with experimental software | ||
| + | * Incorporating uncertainties in the training of ML models | ||
| + | * ML-based unfolding techniques | ||
| + | * Enforcing properties to ML models: Lorentz invariance/equivariance, permutation invariance, IRC safety | ||
| + | |||
| Line 65: | Line 76: | ||
| * starting from state-of-the-art ML-taggers, estimate how much they are correlated to the physics in the measurements of substructure we already have. Discuss good procedures to best tune MC to describe ML-taggers. Discuss good procedures to estimate uncertainties on ML-taggers, given the physics understanding of various effects (an example is scale-variations, where our constraints from data are certainly stronger than the factor 2 variations in many cases, but sometimes the opposite). | * starting from state-of-the-art ML-taggers, estimate how much they are correlated to the physics in the measurements of substructure we already have. Discuss good procedures to best tune MC to describe ML-taggers. Discuss good procedures to estimate uncertainties on ML-taggers, given the physics understanding of various effects (an example is scale-variations, where our constraints from data are certainly stronger than the factor 2 variations in many cases, but sometimes the opposite). | ||
| * take stock of how well most recent generator developments have improved description of multiple new measurements of substructure. (Followup from a previous Les Houches 2015 on q/g-tagging) | * take stock of how well most recent generator developments have improved description of multiple new measurements of substructure. (Followup from a previous Les Houches 2015 on q/g-tagging) | ||
| + | |||
| + | |||
| + | **__Tools, Event Generators and Machine Learning:__** | ||
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| ==== Session 2 ==== | ==== Session 2 ==== | ||
| - | .... | + | **__Higgs:__** |
| + | * "Precision": | ||
| + | * Trilinear and quadrilinear Higgs couplings | ||
| + | * Lepton flavour violation in the Higgs sector | ||
| + | * Constraining the CP structure of the Higgs couplings | ||
| + | * Higgs and EFT | ||
| + | * Characterizing Higgs boson production and decay | ||
| + | * "Novelties": | ||
| + | * Exotic decays of the 125 GeV Higgs boson | ||
| + | * Additional Higgs bosons (low/high mass) - uncovered parameter space | ||
| + | * Naturalness | ||
| + | * Gaps in searches for traditional models (SUSY, compositness) | ||
| + | * Searches for cosmological triggers (new Higgs bosons and v-like leptons) | ||
| + | * Unexpected signatures of naturalness | ||
| - | ---- | ||
| - | ---- | + | **__Machine Learning and Tools:__** |
| + | * Model Agnostic Searches | ||
| + | * Likelihood Learning | ||
| + | * SMEFT progresses | ||
| - | ==== Session 1 (from 2021) ==== | ||
| - | Here for convenience | ||
| - | **__Jet substructure techniques:__** | + | **__Low-energy precision probes of BSM:__** |
| - | + | * New Electric Dipole Moment searches? | |
| - | * Interplay of jet substructure with other groups (e.g. jet substructure for EW measurements like VBF, semileptonic VV, etc.) | + | * Parity violation in new systems? |
| - | * Snowmass jet substructure report (JSS at future colliders) [work + discussion] | + | * Exotic atoms/ions to test exotic forces |
| - | * What can we do with previous colliders, in light of the LHC [discussion] | + | * muonic atoms |
| - | * Comparing new unfolding methods | + | * antiprotonic atoms |
| - | * Accord on unbinned results (?) | + | * highly charged ions |
| - | * Probing the latest MC generators (PB algorithm, PANScales, Deductor...) with jet substructure | + | * Rydberg states |
| - | * Finite N_C, beyond LL, ... | + | |
| - | + | ||
| - | + | ||
| - | + | ||
| - | **__Monte Carlo:__** | + | |
| - | + | ||
| - | * Non-perturbative uncertainties | + | |
| - | * common hadronisation interface and variations | + | |
| - | * theoretical understanding | + | |
| - | * differences in tuned comparisons | + | |
| - | * pheno impact for certain classes of processes (e.g. VBF/VBS) | + | |
| - | * Shower accuracy studies | + | |
| - | * comparing different schemes on higher orders, evaluate phenomenological impact | + | |
| - | * Subleading colour and interplay with colour reconnection | + | |
| - | * New sampling methods and algorithms versus machine learning techniques | + | |
| - | * Accuracy of merging resummed calculation versus ME+PS paradigms | + | |
| - | * Photon physics, modelling of fragmentation | + | |
| - | * Heavy flavour matching | + | |
| - | * review of existing measurements | + | |
| - | * Connecting precision calculation, fragmentation and decays | + | |
| - | * partons at 100 TeV | + | |
| - | * Common LHC event bazaar | + | |
| - | * Status and needs for electroweak corrections and radiation in shower algorithms | + | |
| - | * Machine learning and adaptive Monte Carlo methods | + | |
| - | + | ||
| - | ==== Session 2 ==== | + | |
2023/topics.txt · Last modified: 2023/06/22 16:06 by gregor.kasieczka
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