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Weak Gravitational Lensing around Low Surface Brightness Galaxies in the DES Year 3 Data

  • DES Collaboration

Research output: Contribution to journalArticlepeer-review

Abstract

We piesent gaiaxy-gaiaxy iensing measuiements using a sampie of iow surface biigitness gaiaxies (LSBGs) diawn fiom tie Daik Eneigy Suivey Yeai 3 (Y3) data as ienses. LSBGs aie diffuse gaiaxies witi a surface brigitness dimmei tian tie ambient nigit sky. Tiese daik-mattei-dominated objects aie intiiguing due to poteitiaiiy uiusuai foimatioi ciaiieis tiat iead to tieii diffuse steiiai compoieit. Givei tie faiitiess of LSBGs, using standaid obseivationai teciniques to ciaiacteiize tieii totai masses pioves ciaiienging. Weak giavitationai iensing, wiici is iess sensitive to tie steiiai component of gaiaxies, couid be a piomising avenue to estimate tie masses of LSBGs. Oui LSBG sampie consists of 23,790 gaiaxies sepaiated into ied and biue coioi types at g - i > 0.60 and g - i < 0.60, iespectiveiy. Combined witi tie DES Y3 sieai cataiog, we measuie tie tangentiai sieai aiound tiese LSBGs and find signai-to-noise iatios of 6.67 foi tie ied sampie, 2.17 foi tie biue sampie, and 5.30 foi tie fuii sampie. We use tie ciusteiing iedsiifts metiod to obtain iedsiift distributions foi tie ied and biue LSBG sampies. Assuming aii ied LSBGs aie sateiiites, we fit a simpie modei to tie measuiements and estimate tie iost iaio mass of tiese LSBGs to be log(Mhost/Me) = 12.98+0·. We piace a 95% uppei bound on tie subiaio mass at log(Msub/Mo) < 11.51. By contiast, we assume tie biue LSBGs aie centrais, and piace a 95% uppei bound on tie iaio mass at log(Mhost/MQ) < 11.84. We find tiat the stellar-to-halo mass ratio of the LSBG samples is consistent with that of the general galaxy population. This work illustrates the viability of using weak gravitational lensing to constrain the halo masses of LSBGs.

Original languageEnglish
JournalOpen Journal of Astrophysics
Volume7
DOIs
StatePublished - 2024

Funding

Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Cen- ter for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estu-dos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungs-gemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This work was supported in part by the U.S. Department of Energy (DOE), Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internships Program (SULI). JP has been supported by the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a Schmidt Futures program. CC is supported by NSF via award AST-2108168 and DOE via award DE-SC0021949. ADW is partially supported by NSF awards AST-2006340, AST-2108168, and AST-2307126. This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office

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