IRN Terascale @ IP2I Lyon

Session

Methods and Tools

14 Nov 2024, 09:00

Amphi Dirac (IP2I Lyon)

7. MicrOMEGAs 6: new developments and physics applications

Andreas Goudelis (LPC - Clermont Ferrand)

14/11/2024, 09:00

Methods and Tools

MicrOMEGAs is a computer program to compute different dark matter observables. In this talk we will present some new features of its latest release, version 6, and discuss some of their physics applications.

8. SModelS v3: Going Beyond Z2 Topologies

Mohammad Mahdi Altakach

14/11/2024, 09:25

Methods and Tools

SModelS is a public tool for fast reinterpretation of LHC searches for new physics based on a large database of simplified model results. While previous versions were limited to models with a Z2-type symmetry, version 3 can now handle arbitrary signal topologies. To this end, the tool was fully restructured and now relies on a graph-based description of simplified model topologies. In this...

10. Hyperiso: A general BSM calculator for flavour observables

Niels FARDEAU, Théo REYMERMIER (IP2I Lyon + LPSC)

14/11/2024, 09:50

Methods and Tools

Hyperiso is a refactored and expanded version of the flavour code SuperIso allowing for efficient calculations of flavour observables. While SuperIso was dedicated to SM, THDM and several SUSY models, Hyperiso now implements a transparent interface with MARTY (a public tool to perform analytical QFT calculations) to extend SuperIso's observable calculation routines to generic BSM scenarii. In...

11. Machine Learning the likelihoods

Rafal MASELEK (LPSC (Grenoble))

14/11/2024, 10:10

Methods and Tools

In recent years, the ATLAS collaboration has released full statistical models for some of their analyses, allowing for precise reinterpretation of experimental limits. These models incorporate numerous nuisance parameters and correlations between signal bins, but their complexity often results in prolonged computation times. This project seeks to develop a method for efficient yet accurate...

17. Analyses surrogates and how to build them

Abdelhamid Haddad (LPCA)

14/11/2024, 11:00

I will present the reinterpretation of the CalRatio + X ATLAS analysis (arXiv:2407.09183), focusing on neutral long-lived particles decaying within the ATLAS hadronic calorimeter. The reinterpretation involves a Boosted Decision Tree (BDT) trained on truth-level variables to estimate the probability of events within the ABCD plane and assess the sensitivity of the analysis. The BDT weights,...

18. MadNIS

Theo Heimel (Heidelberg)

14/11/2024, 11:25

Theory predictions for the LHC require precise numerical phase-space integration and generation of unweighted events. We combine machine-learned multi-channel weights with a normalizing flow for importance sampling to improve classical methods for numerical integration. By integrating buffered training for potentially expensive integrands, VEGAS initialization, symmetry-aware channels, and...