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Optimal inflationary potentials

Abstract:
Inflation is a highly favored theory for the early Universe. It is compatible with current observations of the cosmic microwave background and large scale structure and is a driver in the quest to detect primordial gravitational waves. It is also, given the current quality of the data, highly underdetermined with a large number of candidate implementations. We use a new method in symbolic regression to generate all possible simple scalar field potentials for one of two possible basis sets of operators. Treating these as single-field, slow-roll inflationary models we then score them with an information-theoretic metric ("minimum description length") that quantifies their efficiency in compressing the information in current data. We explore two possible priors on the parameter space of potentials, one related to the functions' structural complexity and one that uses a Katz back-off language model to prefer functions that may be theoretically motivated. This enables us to identify the inflaton potentials that optimally balance simplicity with accuracy at explaining current data, which may subsequently find theoretical motivation. Our exploratory study opens the door to extraction of fundamental physics directly from data, and may be augmented with more refined theoretical priors in the quest for a complete understanding of the early Universe.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1103/physrevd.109.083524

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
ORCID:
0000-0001-9426-7723
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
ORCID:
0000-0002-3021-2851


Publisher:
American Physical Society
Journal:
Physical Review D More from this journal
Volume:
109
Issue:
8
Article number:
83524
Publication date:
2024-04-18
Acceptance date:
2024-03-07
DOI:
EISSN:
2470-0029
ISSN:
2470-0010


Language:
English
Pubs id:
1991444
Local pid:
pubs:1991444
Deposit date:
2024-05-09

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