Published February 2025 | Published
Journal Article Open

ZTF SN Ia DR2: Evidence of changing dust distribution with redshift using type Ia supernovae

  • 1. ROR icon Claude Bernard University Lyon 1
  • 2. ROR icon Lancaster University
  • 3. ROR icon AlbaNova
  • 4. ROR icon Trinity College Dublin
  • 5. ROR icon National Research Council Canada
  • 6. ROR icon University of Clermont Auvergne
  • 7. ROR icon Center for Particle Physics of Marseilles
  • 8. ROR icon Duke University
  • 9. ROR icon Institute of Space Sciences
  • 10. ROR icon Institut d'Estudis Espacials de Catalunya
  • 11. ROR icon Laboratoire de Physique Nucléaire et de Hautes Énergies
  • 12. ROR icon Lawrence Berkeley National Laboratory
  • 13. ROR icon University of California, Berkeley
  • 14. ROR icon Stockholm University
  • 15. ROR icon University of Cambridge
  • 16. ROR icon California Institute of Technology

Abstract

Context. Type Ia supernova (SNIa) are excellent probes of local distance and the growing sample sizes of SNIa have driven an increased propensity to study the associated systematic uncertainties and improve standardisation methods in preparation for the next generation of cosmological surveys into the dark energy equation of state, w.

Aims. We aim to probe the potential change in the SNIa standardisation parameter, c, with redshift and the host-galaxy of the supernova. Improving the standardisation of SNIa brightness measurements will require the relationship between the host and the SNIa to be accounted for. In addition, potential shifts in the SNIa standardisation parameters with redshift will cause biases in the recovered cosmology.

Methods. In this work, we assembled a volume-limited sample of 3000 likely SNIa across a redshift range from z = 0.015 to z = 0.36. This sample was fitted with changing mass and redshift bins to determine the relationship between the intrinsic properties of SNe Ia and their redshift and host galaxy parameters. We then investigated the colour-luminosity parameter, β, as a subsequent test of the SNIa standardisation process.

Results. We find that the changing colour distribution of SNe Ia with redshift is driven by dust at a confidence of > 4σ. Additionally, we show a strong correlation between the host galaxy mass and the colour-luminosity coefficient β (> 4σ), even when accounting for the quantity of dust in a host galaxy.

Conclusions. These results indicate that the observed colour distribution of SNe Ia does change with redshift. However, we note that this is an observational effect, rather than an intrinsic change. Future cosmological measurements with SNe Ia must take into account these changing dust distributions to reduce the number of potential sources of systematic uncertainty.

Copyright and License

© The Authors 2025.

Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acknowledgement

Based on observations obtained with the Samuel Oschin Telescope 48-inch and the 60-inch Telescope at the Palomar Observatory as part of the Zwicky Transient Facility project. ZTF is supported by the National Science Foundation under Grants No. AST-1440341 and AST-2034437 and a collaboration including current partners Caltech, IPAC, the Weizmann Institute of Science, the Oskar Klein Center at Stockholm University, the University of Maryland, Deutsches Elektronen-Synchrotron and Humboldt University, the TANGO Consortium of Taiwan, the University of Wisconsin at Milwaukee, Trinity College Dublin, Lawrence Livermore National Laboratories, IN2P3, University of Warwick, Ruhr University Bochum, Northwestern University and former partners the University of Washington, Los Alamos National Laboratories, and Lawrence Berkeley National Laboratories. Operations are conducted by COO, IPAC, and UW. SED Machine is based upon work supported by the National Science Foundation under Grant No. 1106171 The ZTF forced-photometry service was funded under the Heising-Simons Foundation grant #12540303 (PI: Graham). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement n°759194 – USNAC). This work has been supported by the Agence Nationale de la Recherche of the French government through the programme ANR-21-CE31-0016-03. Y.-L.K. has received funding from the Science and Technology Facilities Council [grant number ST/V000713/1]. This work has been supported by the research project grant “Understanding the Dynamic Universe” funded by the Knut and Alice Wallenberg Foundation under Dnr KAW 2018.0067, Vetenskapsrådet, the Swedish Research Council, project 2020-03444. L.G., T.E.M.B acknowledges financial support from the Spanish Ministerio de Ciencia e Innovación (MCIN) and the Agencia Estatal de Investigación (AEI) 10.13039/501100011033 under the PID2020-115253GA-I00 HOSTFLOWS project, from Centro Superior de Investigaciones Científicas (CSIC) under the PIE project 20215AT016 and the programme Unidad de Excelencia María de Maeztu CEX2020-001058-M, and from the Departament de Recerca i Universitats de la Generalitat de Catalunya through the 2021-SGR-01270 grant. Y.-L.K. has received funding from the Science and Technology Facilities Council [grant number ST/V000713/1]. UB, GD, JHT are supported by the H2020 European Research Council grant no. 758638.

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Additional details

Created:
February 20, 2025
Modified:
February 20, 2025