Journal article
Efficiently exploring multidimensional parameter spaces beyond the Standard Model
Physical review. D, Vol.107(3), 035027
02/22/2023
DOI: 10.1103/PhysRevD.107.035027
Abstract
We propose a method to ease the challenges of exploring multidimensional parameter spaces in beyond -the-Standard Model theories. We evaluate the model likelihood for any choice of parameters by sampling the theory parameters intelligently and building a kernel density estimator. By reducing the number of expensive Monte Carlo simulations, this method provides an efficient way to test complex theories. We illustrate our technique to set new limits on a short-lived heavy neutrino N, proposed as an explanation of anomalies in neutrino experiments. Using a search for lepton pairs in the T2K near detector, we find exclusion limits on the model parameters in a vast region of parameter space, fully exploiting the advantages of our new method. With a single Monte Carlo simulation, we obtain the differential event rate for arbitrary choices of model parameters, allowing us to cast limits on any slice of the model parameter space. We conclude that N particles with lifetimes greater than c tau 0 greater than or similar to 3 cm are excluded by T2K data. We also derive model-independent constraints in terms of the total rate, lifetime, and N mass and provide an approximated analytical formula. This method can be applied in other branches of physics to explore the landscape of theory parameters efficiently.
Details
- Title: Subtitle
- Efficiently exploring multidimensional parameter spaces beyond the Standard Model
- Creators
- Carlos A. Arguelles - Harvard UniversityNicole Foppiani - Harvard UniversityMatheus Hostert - University of Minnesota
- Resource Type
- Journal article
- Publication Details
- Physical review. D, Vol.107(3), 035027
- DOI
- 10.1103/PhysRevD.107.035027
- ISSN
- 2470-0010
- eISSN
- 2470-0029
- Publisher
- Amer Physical Soc
- Number of pages
- 20
- Grant note
- Province of Ontario through the Ministry of Research, Innovation, and Science; Ministry of Research and Technology of the Republic of Indonesia (RISTEK) Faculty of Arts and Sciences of Harvard University Department of Energy; United States Department of Energy (DOE) Perimeter Institute for Theoretical Physics Government of Canada through the Department of Innovation, Science and Economic Development Alfred P. Sloan Foundation DE-SC0007881 / National Science Foundation; National Science Foundation (NSF)
- Language
- English
- Date published
- 02/22/2023
- Academic Unit
- Physics and Astronomy
- Record Identifier
- 9984945914302771
Metrics
1 Record Views