@misc{10481/68334, year = {2020}, month = {12}, url = {http://hdl.handle.net/10481/68334}, abstract = {Analyses of Type Ia supernovae (SNe Ia) have found puzzling correlations between their standardized luminosities and host galaxy properties: SNe Ia in high-mass, passive hosts appear brighter than those in lower mass, star-forming hosts. We examine the host galaxies of SNe Ia in the Dark Energy Survey 3-yr spectroscopically confirmed cosmological sample, obtaining photometry in a series of 'local' apertures centred on the SN, and for the global host galaxy. We study the differences in these host galaxy properties, such as stellar mass and rest-frame U - R colours, and their correlations with SN Ia parameters including Hubble residuals. We find all Hubble residual steps to be >3 sigma in significance, both for splitting at the traditional environmental property sample median and for the step of maximum significance. For stellar mass, we find a maximal local step of 0.098 +/- 0.018mag; similar to 0.03mag greater than the largest global stellar mass step in our sample (0.070 +/- 0.017mag). When splitting at the sample median, differences between local and global U - R steps are small, both similar to 0.08mag, but are more significant than the global stellar mass step (0.057 +/- 0.017mag). We split the data into sub-samples based on SN Ia light-curve parameters: stretch (x(1)) and colour (c), finding that redder objects (c > 0) have larger Hubble residual steps, for both stellar mass and U - R, for both local and global measurements, of similar to 0.14mag. Additionally, the bluer (star-forming) local environments host a more homogeneous SN Ia sample, with local U - R rms scatter as low as 0.084 +/- 0.017mag for blue (c < 0) SNe Ia in locally blue U - R environments.}, organization = {Science and Technology Facilities Council through the DISCnet Centre forDoctoral Training ST/P006760/1}, organization = {EU/FP7-ERC grant 615929}, organization = {UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC) ST/R000506/1}, organization = {European Commission 839090}, organization = {Spanish grant within the European Funds for Regional Development (FEDER) PGC2018-095317-B-C21}, organization = {United States Department of Energy (DOE)}, organization = {National Science Foundation (NSF)}, organization = {Spanish Government}, organization = {UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC)}, organization = {Higher Education Funding Council for England}, organization = {National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign}, organization = {Ohio State University}, organization = {Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University}, organization = {Ciencia Tecnologia e Inovacao (FINEP)}, organization = {Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro}, organization = {National Council for Scientific and Technological Development (CNPq)}, organization = {Ministerio da Ciencia, Tecnologia e Inovacao}, organization = {German Research Foundation (DFG)}, organization = {University of California at Santa Cruz}, organization = {University of Cambridge}, organization = {Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid}, organization = {ETH Zurich}, organization = {United States Department of Energy (DOE) University of Chicago}, organization = {University of Illinois at Urbana Champaign}, organization = {Institut de Ciencies de l'Espai (IEEC/CSIC)}, organization = {Institut de Fisica d'Altes Energies}, organization = {United States Department of Energy (DOE)}, organization = {Ludwig-Maximilians Universit at Munchen and the associated Excellence Cluster Universe}, organization = {University of Michigan System}, organization = {National Science Foundation (NSF) NSF - Directorate for Mathematical & Physical Sciences (MPS)}, organization = {University of Nottingham}, organization = {Ohio State University}, organization = {University of Pennsylvania}, organization = {University of Portsmouth}, organization = {Stanford University}, organization = {University of Sussex}, organization = {Texas AM University}, organization = {OzDES Membership Consortium}, organization = {National Science Foundation (NSF) AST-1138766 AST-1536171}, organization = {MINECO AYA2015-71825 ESP2015-66861 FPA2015-68048 SEV-2016-0588 SEV-2016-0597 MDM-2015-0509}, organization = {ERDF funds from the European Union}, organization = {CERCA program of the Generalitat de Catalunya}, organization = {European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013)}, organization = {European Research Council (ERC) European Commission 240672 291329 306478}, organization = {National Council for Scientific and Technological Development (CNPq) 465376/2014-2}, organization = {Kavli Institute of Cosmological Physics at the University of Chicago}, organization = {University College London}, organization = {DES-Brazil Consortium}, organization = {University of Edinburgh}, publisher = {Oxford University Press}, keywords = {Surveys}, keywords = {Supernovae: general}, keywords = {Distance scale}, keywords = {Cosmology: observations}, title = {The effect of environment on Type Ia supernovae in the Dark Energy Survey three-year cosmological sample}, doi = {10.1093/mnras/staa3924}, author = {Kelsey, L. and Galbany González, Lluis}, }