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The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae

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The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae. / Dark Energy Survey Collaboration.
In: The Astrophysical Journal, Vol. 964, No. 2, 134, 01.04.2024.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Dark Energy Survey Collaboration 2024, 'The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae', The Astrophysical Journal, vol. 964, no. 2, 134. https://doi.org/10.3847/1538-4357/ad251d

APA

Dark Energy Survey Collaboration (2024). The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae. The Astrophysical Journal, 964(2), Article 134. https://doi.org/10.3847/1538-4357/ad251d

Vancouver

Dark Energy Survey Collaboration. The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae. The Astrophysical Journal. 2024 Apr 1;964(2):134. Epub 2024 Mar 26. doi: 10.3847/1538-4357/ad251d

Author

Dark Energy Survey Collaboration. / The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae. In: The Astrophysical Journal. 2024 ; Vol. 964, No. 2.

Bibtex

@article{112ace70d34b41899c733a2bf6bd81ab,
title = "The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae",
abstract = "Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies using images is nontrivial, resulting in a subset of SNe with mismatched hosts and thus incorrect redshifts. We evaluate the host galaxy mismatch rate and resulting biases on cosmological parameters from simulations modeled after the Dark Energy Survey 5 Yr (DES-SN5YR) photometric sample. For both DES-SN5YR data and simulations, we employ the directional light radius method for host galaxy matching. In our SN Ia simulations, we find that 1.7% of SNe are matched to the wrong host galaxy, with redshift differences between the true and matched hosts of up to 0.6. Using our analysis pipeline, we determine the shift in the dark energy equation of state parameter (Δw) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δw = 0.0013 ± 0.0026 with constraints from the cosmic microwave background. Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Δw ranges from 0.0009 to 0.0032, depending on the photometric classifier used. This bias is an order of magnitude smaller than the expected total uncertainty on w from the DES-SN5YR sample of ∼0.03. We conclude that the bias on w from host galaxy mismatch is much smaller than the uncertainties expected from the DES-SN5YR sample, but we encourage further studies to reduce this bias through better host-matching algorithms or selection cuts....",
author = "{Dark Energy Survey Collaboration} and H. Qu and M. Sako and M. Vincenzi and C. S{\'a}nchez and D. Brout and R. Kessler and R. Chen and T. Davis and L. Galbany and L. Kelsey and J. Lee and C. Lidman and B. Popovic and B. Rose and D. Scolnic and M. Smith and M. Sullivan and P. Wiseman and Abbott, {T. M. C.} and M. Aguena and O. Alves and D. Bacon and E. Bertin and D. Brooks and Burke, {D. L.} and {Carnero Rosell}, A. and J. Carretero and {da Costa}, {L. N.} and Pereira, {M. E. S.} and Diehl, {H. T.} and P. Doel and S. Everett and I. Ferrero and J. Frieman and J. Garc{\'i}a-Bellido and G. Giannini and D. Gruen and Gruendl, {R. A.} and G. Gutierrez and Hinton, {S. R.} and Hollowood, {D. L.} and K. Honscheid and James, {D. J.} and K. Kuehn and O. Lahav and Marshall, {J. L.} and J. Mena-Fern{\'a}ndez and F. Menanteau and R. Miquel and Ogando, {R. L. C.}",
year = "2024",
month = apr,
day = "1",
doi = "10.3847/1538-4357/ad251d",
language = "English",
volume = "964",
journal = "The Astrophysical Journal",
issn = "0004-637X",
publisher = "Institute of Physics Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae

AU - Dark Energy Survey Collaboration

AU - Qu, H.

AU - Sako, M.

AU - Vincenzi, M.

AU - Sánchez, C.

AU - Brout, D.

AU - Kessler, R.

AU - Chen, R.

AU - Davis, T.

AU - Galbany, L.

AU - Kelsey, L.

AU - Lee, J.

AU - Lidman, C.

AU - Popovic, B.

AU - Rose, B.

AU - Scolnic, D.

AU - Smith, M.

AU - Sullivan, M.

AU - Wiseman, P.

AU - Abbott, T. M. C.

AU - Aguena, M.

AU - Alves, O.

AU - Bacon, D.

AU - Bertin, E.

AU - Brooks, D.

AU - Burke, D. L.

AU - Carnero Rosell, A.

AU - Carretero, J.

AU - da Costa, L. N.

AU - Pereira, M. E. S.

AU - Diehl, H. T.

AU - Doel, P.

AU - Everett, S.

AU - Ferrero, I.

AU - Frieman, J.

AU - García-Bellido, J.

AU - Giannini, G.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gutierrez, G.

AU - Hinton, S. R.

AU - Hollowood, D. L.

AU - Honscheid, K.

AU - James, D. J.

AU - Kuehn, K.

AU - Lahav, O.

AU - Marshall, J. L.

AU - Mena-Fernández, J.

AU - Menanteau, F.

AU - Miquel, R.

AU - Ogando, R. L. C.

PY - 2024/4/1

Y1 - 2024/4/1

N2 - Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies using images is nontrivial, resulting in a subset of SNe with mismatched hosts and thus incorrect redshifts. We evaluate the host galaxy mismatch rate and resulting biases on cosmological parameters from simulations modeled after the Dark Energy Survey 5 Yr (DES-SN5YR) photometric sample. For both DES-SN5YR data and simulations, we employ the directional light radius method for host galaxy matching. In our SN Ia simulations, we find that 1.7% of SNe are matched to the wrong host galaxy, with redshift differences between the true and matched hosts of up to 0.6. Using our analysis pipeline, we determine the shift in the dark energy equation of state parameter (Δw) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δw = 0.0013 ± 0.0026 with constraints from the cosmic microwave background. Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Δw ranges from 0.0009 to 0.0032, depending on the photometric classifier used. This bias is an order of magnitude smaller than the expected total uncertainty on w from the DES-SN5YR sample of ∼0.03. We conclude that the bias on w from host galaxy mismatch is much smaller than the uncertainties expected from the DES-SN5YR sample, but we encourage further studies to reduce this bias through better host-matching algorithms or selection cuts....

AB - Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies using images is nontrivial, resulting in a subset of SNe with mismatched hosts and thus incorrect redshifts. We evaluate the host galaxy mismatch rate and resulting biases on cosmological parameters from simulations modeled after the Dark Energy Survey 5 Yr (DES-SN5YR) photometric sample. For both DES-SN5YR data and simulations, we employ the directional light radius method for host galaxy matching. In our SN Ia simulations, we find that 1.7% of SNe are matched to the wrong host galaxy, with redshift differences between the true and matched hosts of up to 0.6. Using our analysis pipeline, we determine the shift in the dark energy equation of state parameter (Δw) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δw = 0.0013 ± 0.0026 with constraints from the cosmic microwave background. Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Δw ranges from 0.0009 to 0.0032, depending on the photometric classifier used. This bias is an order of magnitude smaller than the expected total uncertainty on w from the DES-SN5YR sample of ∼0.03. We conclude that the bias on w from host galaxy mismatch is much smaller than the uncertainties expected from the DES-SN5YR sample, but we encourage further studies to reduce this bias through better host-matching algorithms or selection cuts....

U2 - 10.3847/1538-4357/ad251d

DO - 10.3847/1538-4357/ad251d

M3 - Journal article

VL - 964

JO - The Astrophysical Journal

JF - The Astrophysical Journal

SN - 0004-637X

IS - 2

M1 - 134

ER -