CaltechAUTHORS
  A Caltech Library Service

Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear

Ferté, Agnès and Hemmati, Shoubaneh and Masters, Daniel and Montminy, Brigitte and Taylor, Peter L. and Huff, Eric and Rhodes, Jason (2021) Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20220304-171244005

[img] PDF - Submitted Version
Creative Commons Attribution.

834kB

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20220304-171244005

Abstract

We propose to use Self-Organizing Maps (SOM) to map the impact of physical models onto observables. Using this approach, we are able to determine how theories relate to each other given their signatures. In cosmology this will be particularly useful to determine cosmological models (such as dark energy, modified gravity or inflationary models) that should be tested by the new generation of experiments. As a first example, we apply this approach to the representation of a subset of the space of modified gravity theories probed by cosmic shear. We therefore train a SOM on shear correlation functions in the f(R), dilaton and symmetron models. The results indicate these three theories have similar signatures on shear for small values of their parameters but the dilaton has different signature for higher values. We also show that modified gravity (especially the dilaton model) has a different impact on cosmic shear compared to a dynamical dark energy so both need to be tested by galaxy surveys.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.48550/arXiv.2110.13171arXivDiscussion Paper
ORCID:
AuthorORCID
Ferté, Agnès0000-0003-3065-9941
Hemmati, Shoubaneh0000-0003-2226-5395
Masters, Daniel0000-0001-5382-6138
Montminy, Brigitte0000-0002-4321-3319
Huff, Eric0000-0002-9378-3424
Rhodes, Jason0000-0002-4485-8549
Additional Information:Attribution 4.0 International (CC BY 4.0) The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). In particular, this work was initiated with a JPL Data Science Pilot grant under a program run by Daniel Crichton and Richard Doyle who provided early support and advice. PLT acknowledges support for this work from a NASA Postdoctoral Program Fellowship. BM was supported by the JPL/Caltech Summer Undergraduate Research Fellowship Program. AF would like to thank Benjamin Giblin for indicating an issue in the implementation of MGCAMB in CosmoSIS to compute f(R) gravity cosmic shear predictions and Joe Zuntz for his help to fix this issue; Xiao Fang for help with CosmoCov; members of the JPL Dark Sector group and of the cosmology group at Caltech for their support and inputs; and early audiences of this work for useful discussions.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASA/JPL/Caltech80NM0018D0004
NASA Postdoctoral ProgramUNSPECIFIED
Caltech Summer Undergraduate Research Fellowship (SURF)UNSPECIFIED
DOI:10.48550/arXiv.2110.13171
Record Number:CaltechAUTHORS:20220304-171244005
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220304-171244005
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113724
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:07 Mar 2022 20:41
Last Modified:07 Mar 2022 20:41

Repository Staff Only: item control page