| Full text | |
| Author(s): |
Orzari, Breno
;
Chernyavskaya, Nadezda
;
Cobe, Raphael
;
Duarte, Javier
;
Fialho, Jefferson
;
Gunopulos, Dimitrios
;
Kansal, Raghav
;
Pierini, Maurizio
;
Tomei, Thiago
;
Touranakou, Mary
Total Authors: 10
|
| Document type: | Journal article |
| Source: | MACHINE LEARNING-SCIENCE AND TECHNOLOGY; v. 4, n. 4, p. 12-pg., 2023-12-01. |
| Abstract | |
In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data generation is in the form of Monte Carlo (MC) generators. However, because of the upcoming high-luminosity upgrade of the Large Hadron Collider (LHC), there will not be enough computational power or time to match the amount of needed simulated data using MC methods. An alternative approach under study is the usage of machine learning generative methods to fulfill that task. Since the most common final-state objects of high-energy proton collisions are hadronic jets, which are collections of particles collimated in a given region of space, this work aims to develop a convolutional variational autoencoder (ConVAE) for the generation of particle-based LHC hadronic jets. Given the ConVAE's limitations, a normalizing flow (NF) network is coupled to it in a two-step training process, which shows improvements on the results for the generated jets. The ConVAE+NF network is capable of generating a jet in 18.30 +/- 0.04 mu s , making it one of the fastest methods for this task up to now. (AU) | |
| FAPESP's process: | 20/06600-3 - Dark matter search with long-lived particles with the CMS experiment at the LHC |
| Grantee: | Breno Orzari |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 19/16401-0 - Machine learning for simulation of HEP collisions with the CMS detector |
| Grantee: | Breno Orzari |
| Support Opportunities: | Scholarships abroad - Research Internship - Master's degree |
| FAPESP's process: | 22/02950-5 - Computing challenges for the CMS phase-II upgrade |
| Grantee: | Thiago Rafael Fernandez Perez Tomei |
| Support Opportunities: | Research Grants - Initial Project |
| FAPESP's process: | 18/25225-9 - São Paulo Research and Analysis Center |
| Grantee: | Sergio Ferraz Novaes |
| Support Opportunities: | Special Projects |