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Exploring LHC results with simplified models and beyond

Grant number: 15/20570-1
Support type:Research Grants - Young Investigators Grants
Duration: February 01, 2016 - January 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Physics - Elementary Particle Physics and Fields
Principal Investigator:André Paniago Lessa
Grantee:André Paniago Lessa
Home Institution: Centro de Ciências Naturais e Humanas (CCNH). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
Associated grant(s):16/50338-6 - Simplified models beyond supersymmetry, AP.R SPRINT

Abstract

During its first run, the LHC has discovered the Higgs boson and provided powerful constraints on new physics. A large number of experimental results has been made public and, during its second data taking run (Run II) an even larger number of analyses is expected. Both ATLAS and CMS have adopted the Simplified Models framework to interpret their results in terms of new physics constraints and the same is expected for the Run II results. Despite the amazing effort made by the experimental collaborations, in its large majority the constraints obtained for simplified models can not be directly applied to full Beyond the Standard Model (BSM) models, such as the MSSM. Therefore, there is a significant gap between the results published by the experimental collaborations (for simplified models) and the real constraints on BSM models. In the recent years, a few groups have undertaken the task of trying to bridge this gap with different approaches. This project is based on one of such attempts, named SModelS. SModelS is a public software comprising a set of tools, which allows the user to systematically apply LHC constraints to a large class of BSM models. Nonetheless, the current version of the software has limited applicability and its database comprises only the 8 TeV results. In this project we propose several developments of the SModelS tool, which can help bridge the gap between the theory and experimental communities and extend the applicability of the current software. (AU)

Scientific publications (5)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
AMBROGI, FEDERICO; DUTTA, JUHI; HEISIG, JAN; KRAML, SABINE; KULKARNI, SUCHITA; LAA, URSULA; LESSA, ANDRE; NEUHUBER, PHILIPP; REYES-GONZALEZ, HUMBERTO; WALTENBERGER, WOLFGANG; WOLF, MATTHIAS. SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties. COMPUTER PHYSICS COMMUNICATIONS, v. 251, JUN 2020. Web of Science Citations: 1.
BELANGER, G.; DESAI, N.; GOUDELIS, A.; HARZ, J.; LESSA, A.; NO, J. M.; PUKHOV, A.; SEKMEN, S.; SENGUPTA, D.; ZALDIVAR, B.; ZURITA, J. LHC-friendly minimal freeze-in models. Journal of High Energy Physics, n. 2 FEB 27 2019. Web of Science Citations: 4.
HEISIG, JAN; KRAML, SABINE; LESSA, ANDRE. Constraining new physics with searches for long-lived particles: Implementation into SModelS. Physics Letters B, v. 788, p. 87-95, JAN 10 2019. Web of Science Citations: 4.
AMBROGI, FEDERICO; KRAML, SABINE; KULKARNI, SUCHITA; LAA, URSULA; LESSA, ANDRE; MAGERL, VERONIKA; SONNEVELD, JORY; TRAUB, MICHAEL; WALTENBERGER, WOLFGANG. SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps. COMPUTER PHYSICS COMMUNICATIONS, v. 227, p. 72-98, JUN 2018. Web of Science Citations: 9.
AMBROGI, FEDERICO; KRAML, SABINE; KULKARNI, SUCHITA; LAA, URSULA; LESSA, ANDRE; WALTENBERGER, WOLFGANG. On the coverage of the pMSSM by simplified model results. EUROPEAN PHYSICAL JOURNAL C, v. 78, n. 3 MAR 13 2018. Web of Science Citations: 6.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.