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May 26 – 31, 2024
Western University
America/Toronto timezone
Welcome to the 2024 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2024!

(G) (POS-7) Accelerating the search for mass bumps using the Data-Directed Paradigm at the LHC

May 28, 2024, 5:47 PM
2m
SSC Hallways (Western University)

SSC Hallways

Western University

Poster not-in-competition (Graduate Student) / Affiche non-compétitive (Étudiant(e) du 2e ou 3e cycle) Particle Physics / Physique des particules (PPD) PPD Poster Session & Student Poster Competition (4) | Session d'affiches PPD et concours d'affiches étudiantes (4)

Speaker

Emile Baril (Universite de Montreal (CA))

Description

The Data-Directed paradigm (DDP) is an innovative approach to efficiently probe new physics across a large number of spectra in the presence of smoothly falling standard model backgrounds. DDP circumvents the need for simulated or functionally derived background estimates that are usually used in traditional analysis by directly predicting a statistical significance using a convolutional neural network trained to regress the log-likelihood based significance. A trained network is then used to identify mass bumps directly on the data without the need to completely model the background, thus saving a considerable amount of analysis time. By detecting mass bumps directly in the data, the DDP has the potential to greatly enhance the discovery reach by exploring many unmapped regions. The efficiency of the method has been demonstrated by successfully identifying various beyond standard model signals in simulated data. A detailed presentation of the methodology and recent developments will be presented.

Keyword-1 Particle Physics
Keyword-2 Machine Learning

Primary authors

Emile Baril (Universite de Montreal (CA)) Prof. Jean-François Arguin (Université de Montréal) Prof. Georges Azuelos (Université de Montréal) Fannie Bilodeau (Université de Montréal) Bruna Pascual (Université de Montréal) Muhammad Usman (Université de Montréal) Prof. Shikma Bressler (Weizmann Institute of Science) Etienne Dreyer (Weizmann Institute of Science) Nilotpal Kakati (Weizmann Institute of Science) Amit Shkuri (Weizmann Institute of Science) Samuel Calvet (Université Clermont Auvergne) Julien Noce Donini (Université Clermont Auvergne) Eva Mayer (Université Clermont Auvergne)

Presentation materials

There are no materials yet.