Home
Working Groups (2)The meeting will consist of two sessions. The first session will concentrate mainly (but not exclusively) on Standard Model issues including Higgs physics, in particular it will cover topics related to improving precision on SM observables. The second session is geared more towards New Physics searches and model building, data interpretation and analyses in theories beyond the SM. As usual within the Les Houches PhysTeV series, we expect a very strong interplay and collaboration between the different groups and their subgroups. The latter are set up only as a guide. Indeed, in several instances similar activities will be covered by different working groups making a strict separation into working groups somewhat unnatural.
The list of topics will be updated regularly and a more detailed plan of work will be posted on the Wiki pages. The Wiki pages will also be the forum for exchanging ideas and contributing to the working groups of PhysTeV 2023 even if you are not attending the meeting in Les Houches. We encourage you to actively contribute to the wiki pages.
Session 1: 12-21 June 2023
The main topics to be addressed in this session are progress and future challenges for the predictions of SM processes. This session covers issues related to precision physics and better understanding of standard model processes (including Higgs production), in the context of fixed-order (N)NLO computations, and their implementations in tools and Monte-Carlo generators (e.g MC vs. (N)NLO corrections, parton-showers accuracy). Progress and future challenges in the computation of electroweak corrections is another example of topics to be discussed in this session. Related to all these issues is the progress in computations and the improvement of search techniques relevant for Higgs studies. Physics of jets, notably search techniques based on jet substructure and boosted objects will also be addressed in this session. The increasingly important role of Machine Learning and Artificial Intelligence techniques in current and future searches will also be an important aspect to discuss.
The list of topics will be updated on the Wiki (see here).
Higgs Physics (SM aspects)
| Theory | Experiment |
| S. Jones, IPPP, Durham University, UK R. Röntsch, University of Milan, Italy |
M. Donegà, ETH Zurich, Switzerland [CMS] K. Köneke, University of Freiburg, Germany [ATLAS] |
Standard Model Phenomenology
| Theory | Experiment |
| Techniques, calculations, and phenomenology A. Huss, CERN, Switzerland M. Pellen, University of Freiburg, Germany |
P. Azzurri, INFN Pisa, Italy [CMS] J. Huston, Michigan State University, USA [ATLAS] |
| Jet substructure techniques S. Marzani, University of Genova, Italy |
A. Hinzmann, University of Hamburg, Germany [CMS] |
Monte Carlo generators, Tools, Machine-Learning
| Theory | Experiment |
| S. Höche, FNAL, USA S. Plätzer, University of Graz, Austria |
MC: J. McFayden, University of Sussex, UK [ATLAS] ML: V. Mikuni, NERSC, Berkeley, USA |
Session 2: 21-30 June 2023
This session covers issues related to the search for physics beyond the Standard Model (BSM), in particular its experimental signatures. As in previous editions of the Workshop, the main topics include the BSM aspects of Higgs physics together with more general BSM collider phenomenology. For the 2023 edition, low-energy probes of new physics will be discussed in a dedicated new working group. The traditional Tools and Monte-Carlo working group is extended to Machine-Learning aspects in new physics searches.
The list of topics will be updated on the Wiki (see here).
Higgs Physics (BSM aspects)
| Theory | Experiment |
| R.T. D'Agnolo, IPhT Saclay, France | A. De Wit, University of Zurich, Switzerland [CMS] |
BSM Phenomenology at colliders
| Theory | Experiment |
| J. Zupan (TBC), Cincinnati University, USA | T. Vazquez-Schroeder, CERN, Switzerland [ATLAS] |
High-precision low-energy probes
| Theory | Experiment |
| J. Berengut, University of New South Wales, Australia E. Fuchs, CERN and University of Hannover, Germany |
TBA |
Monte Carlo generators, Tools, Machine-Learning
| Theory | Experiment |
| G. Durieux, CERN, Switzerland A. Wulzer, University of Padua, Italy |
G. Kasieczka, University of Hamburg, Germany [CMS] |