Using 4MOST to refine the measurement of galaxy properties: a case study of supernova hosts

Author:

Dumayne J1ORCID,Hook I M1,Williams S C23ORCID,Lowes G A145,Head D1,Fritz A6,Graur O78ORCID,Holwerda B9ORCID,Humphrey A1011,Milligan A1,Nicholl M12,Roukema B F1314ORCID,Wiseman P15ORCID

Affiliation:

1. Physics Department, Lancaster University , Bailrigg, Lancaster LA1 4YB, UK

2. Finnish Centre for Astronomy with ESO (FINCA), Quantum, Univeristy of Turku , Vesilinnantie 5, FI-20014 Turku, Finland

3. Department of Physics and Astronomy, University of Turku , FI-20014 Turku, Finland

4. EA Milne Centre for Astrophysics, Department of Physics and Mathematics, University of Hull, Hull , HU6 7RX, UK

5. Centre of Excellence for Data Science, Artificial Intelligence and Modelling, University of Hull, Hull , HU6 7RX, UK

6. OmegaLambdaTec GmbH , Lichtenbergstraße 8, D-85748 Garching, Germany

7. Institute of Cosmology and Gravitation, University of Portsmouth , Portsmouth PO1 3FX, UK

8. Department of Astrophysics, American Museum of Natural History , Central Park West and 79th Street, New York, NY 10024, USA

9. Department of Physics and Astronomy, University of Louisville , 102 Natural Science Building, Louisville, KY 40292, USA

10. DTx – Digital Transformation CoLab, Building 1, Azurém Campus, University of Minho , P-4800-058 Guimarães, Portugal

11. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP , Rua das Estrelas, P-4150-762 Porto, Portugal

12. Astrophysics Research Centre, School of Mathematics and Physics, Queens University Belfast , Belfast BT7 1NN, UK

13. Institute of Astronomy, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University , Grudziadzka 5, PL-87-100 Toruń, Poland

14. Univ Lyon, Ens de Lyon, Univ Lyon1, CNRS, Centre de Recherche Astrophysique de Lyon UMR5574 , F–69007, Lyon, France

15. School of Physics and Astronomy, University of Southampton , Southampton SO17 1BJ, UK

Abstract

Abstract The Rubin Observatory’s 10-yr Legacy Survey of Space and Time will observe near to 20 billion galaxies. For each galaxy the properties can be inferred. Approximately 105 galaxies observed per year will contain Type Ia supernovae (SNe), allowing SN host-galaxy properties to be calculated on a large scale. Measuring the properties of SN host galaxies serves two main purposes. The first is that there are known correlations between host galaxy type and SN type, which can be used to aid in the classification of SNe. Secondly, Type Ia SNe exhibit correlations between host-galaxy properties and the peak luminosities of the SNe, which has implications for their use as standardizable candles in cosmology. We have used simulations to quantify the improvement in host-galaxy stellar mass (M*) measurements when supplementing photometry from Rubin with spectroscopy from the 4-metre Multi-Object Spectroscopic Telescope (4MOST) instrument. We provide results in the form of expected uncertainties in M* for galaxies with 0.1 < z < 0.9 and 18 < rAB < 25. We show that for galaxies mag 22 and brighter, combining Rubin and 4MOST data reduces the uncertainty measurements of galaxy M* by more than a factor of 2 compared with Rubin data alone. This applies for elliptical and Sc-type hosts. We demonstrate that the reduced uncertainties in M* lead to an improvement of 7 per cent in the precision of the ‘mass step’ correction. We expect our improved measurements of host-galaxy properties to aid in the photometric classification of SNe observed by Rubin.

Funder

Science and Technology Facilities Council

Horizon 2020 Framework Programme

Ministerstwo Nauki i Szkolnictwa Wyższego

Publisher

Oxford University Press (OUP)

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