The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae
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 t...
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| Autor*in: |
H. Qu [verfasserIn] M. Sako [verfasserIn] M. Vincenzi [verfasserIn] C. Sánchez [verfasserIn] D. Brout [verfasserIn] R. Kessler [verfasserIn] R. Chen [verfasserIn] T. Davis [verfasserIn] L. Galbany [verfasserIn] L. Kelsey [verfasserIn] J. Lee [verfasserIn] C. Lidman [verfasserIn] B. Popovic [verfasserIn] B. Rose [verfasserIn] D. Scolnic [verfasserIn] M. Smith [verfasserIn] M. Sullivan [verfasserIn] P. Wiseman [verfasserIn] T. M. C. Abbott [verfasserIn] M. Aguena [verfasserIn] O. Alves [verfasserIn] D. Bacon [verfasserIn] E. Bertin [verfasserIn] D. Brooks [verfasserIn] D. L. Burke [verfasserIn] A. Carnero Rosell [verfasserIn] J. Carretero [verfasserIn] L. N. da Costa [verfasserIn] M. E. S. Pereira [verfasserIn] H. T. Diehl [verfasserIn] P. Doel [verfasserIn] S. Everett [verfasserIn] I. Ferrero [verfasserIn] J. Frieman [verfasserIn] J. García-Bellido [verfasserIn] G. Giannini [verfasserIn] D. Gruen [verfasserIn] R. A. Gruendl [verfasserIn] G. Gutierrez [verfasserIn] S. R. Hinton [verfasserIn] D. L. Hollowood [verfasserIn] K. Honscheid [verfasserIn] D. J. James [verfasserIn] K. Kuehn [verfasserIn] O. Lahav [verfasserIn] J. L. Marshall [verfasserIn] J. Mena-Fernández [verfasserIn] F. Menanteau [verfasserIn] R. Miquel [verfasserIn] R. L. C. Ogando [verfasserIn] A. Palmese [verfasserIn] A. Pieres [verfasserIn] A. A. Plazas-Malagón [verfasserIn] M. Raveri [verfasserIn] E. Sanchez [verfasserIn] I. Sevilla-Noarbe [verfasserIn] M. Soares-Santos [verfasserIn] E. Suchyta [verfasserIn] G. Tarle [verfasserIn] N. Weaverdyck [verfasserIn] DES Collaboration [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: The Astrophysical Journal - IOP Publishing, 2022, 964(2024), 2, p 134 |
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| Übergeordnetes Werk: |
volume:964 ; year:2024 ; number:2, p 134 |
| Links: |
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| DOI / URN: |
10.3847/1538-4357/ad251d |
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| Katalog-ID: |
DOAJ091377188 |
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| 100 | 0 | |a H. Qu |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae |
| 264 | 1 | |c 2024 | |
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| 520 | |a 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. | ||
| 650 | 4 | |a Cosmology | |
| 650 | 4 | |a Type Ia supernovae | |
| 650 | 4 | |a Dark energy | |
| 653 | 0 | |a Astrophysics | |
| 700 | 0 | |a M. Sako |e verfasserin |4 aut | |
| 700 | 0 | |a M. Vincenzi |e verfasserin |4 aut | |
| 700 | 0 | |a C. Sánchez |e verfasserin |4 aut | |
| 700 | 0 | |a D. Brout |e verfasserin |4 aut | |
| 700 | 0 | |a R. Kessler |e verfasserin |4 aut | |
| 700 | 0 | |a R. Chen |e verfasserin |4 aut | |
| 700 | 0 | |a T. Davis |e verfasserin |4 aut | |
| 700 | 0 | |a L. Galbany |e verfasserin |4 aut | |
| 700 | 0 | |a L. Kelsey |e verfasserin |4 aut | |
| 700 | 0 | |a J. Lee |e verfasserin |4 aut | |
| 700 | 0 | |a C. Lidman |e verfasserin |4 aut | |
| 700 | 0 | |a B. Popovic |e verfasserin |4 aut | |
| 700 | 0 | |a B. Rose |e verfasserin |4 aut | |
| 700 | 0 | |a D. Scolnic |e verfasserin |4 aut | |
| 700 | 0 | |a M. Smith |e verfasserin |4 aut | |
| 700 | 0 | |a M. Sullivan |e verfasserin |4 aut | |
| 700 | 0 | |a P. Wiseman |e verfasserin |4 aut | |
| 700 | 0 | |a T. M. C. Abbott |e verfasserin |4 aut | |
| 700 | 0 | |a M. Aguena |e verfasserin |4 aut | |
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| 700 | 0 | |a D. Bacon |e verfasserin |4 aut | |
| 700 | 0 | |a E. Bertin |e verfasserin |4 aut | |
| 700 | 0 | |a D. Brooks |e verfasserin |4 aut | |
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| 700 | 0 | |a J. Frieman |e verfasserin |4 aut | |
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| 700 | 0 | |a S. R. Hinton |e verfasserin |4 aut | |
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| 700 | 0 | |a D. J. James |e verfasserin |4 aut | |
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| 700 | 0 | |a J. Mena-Fernández |e verfasserin |4 aut | |
| 700 | 0 | |a F. Menanteau |e verfasserin |4 aut | |
| 700 | 0 | |a R. Miquel |e verfasserin |4 aut | |
| 700 | 0 | |a R. L. C. Ogando |e verfasserin |4 aut | |
| 700 | 0 | |a A. Palmese |e verfasserin |4 aut | |
| 700 | 0 | |a A. Pieres |e verfasserin |4 aut | |
| 700 | 0 | |a A. A. Plazas-Malagón |e verfasserin |4 aut | |
| 700 | 0 | |a M. Raveri |e verfasserin |4 aut | |
| 700 | 0 | |a E. Sanchez |e verfasserin |4 aut | |
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| 700 | 0 | |a M. Soares-Santos |e verfasserin |4 aut | |
| 700 | 0 | |a E. Suchyta |e verfasserin |4 aut | |
| 700 | 0 | |a G. Tarle |e verfasserin |4 aut | |
| 700 | 0 | |a N. Weaverdyck |e verfasserin |4 aut | |
| 700 | 0 | |a DES Collaboration |e verfasserin |4 aut | |
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10.3847/1538-4357/ad251d doi (DE-627)DOAJ091377188 (DE-599)DOAJ062ae04425934609badbec8cd82d7e40 DE-627 ger DE-627 rakwb eng QB460-466 H. Qu verfasserin aut The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. Cosmology Type Ia supernovae Dark energy Astrophysics M. Sako verfasserin aut M. Vincenzi verfasserin aut C. Sánchez verfasserin aut D. Brout verfasserin aut R. Kessler verfasserin aut R. Chen verfasserin aut T. Davis verfasserin aut L. Galbany verfasserin aut L. Kelsey verfasserin aut J. Lee verfasserin aut C. Lidman verfasserin aut B. Popovic verfasserin aut B. Rose verfasserin aut D. Scolnic verfasserin aut M. Smith verfasserin aut M. Sullivan verfasserin aut P. Wiseman verfasserin aut T. M. C. Abbott verfasserin aut M. Aguena verfasserin aut O. Alves verfasserin aut D. Bacon verfasserin aut E. Bertin verfasserin aut D. Brooks verfasserin aut D. L. Burke verfasserin aut A. Carnero Rosell verfasserin aut J. Carretero verfasserin aut L. N. da Costa verfasserin aut M. E. S. Pereira verfasserin aut H. T. Diehl verfasserin aut P. Doel verfasserin aut S. Everett verfasserin aut I. Ferrero verfasserin aut J. Frieman verfasserin aut J. García-Bellido verfasserin aut G. Giannini verfasserin aut D. Gruen verfasserin aut R. A. Gruendl verfasserin aut G. Gutierrez verfasserin aut S. R. Hinton verfasserin aut D. L. Hollowood verfasserin aut K. Honscheid verfasserin aut D. J. James verfasserin aut K. Kuehn verfasserin aut O. Lahav verfasserin aut J. L. Marshall verfasserin aut J. Mena-Fernández verfasserin aut F. Menanteau verfasserin aut R. Miquel verfasserin aut R. L. C. Ogando verfasserin aut A. Palmese verfasserin aut A. Pieres verfasserin aut A. A. Plazas-Malagón verfasserin aut M. Raveri verfasserin aut E. Sanchez verfasserin aut I. Sevilla-Noarbe verfasserin aut M. Soares-Santos verfasserin aut E. Suchyta verfasserin aut G. Tarle verfasserin aut N. Weaverdyck verfasserin aut DES Collaboration verfasserin aut In The Astrophysical Journal IOP Publishing, 2022 964(2024), 2, p 134 (DE-627)269019219 (DE-600)1473835-1 15384357 nnns volume:964 year:2024 number:2, p 134 https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/article/062ae04425934609badbec8cd82d7e40 kostenfrei https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/toc/1538-4357 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 964 2024 2, p 134 |
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10.3847/1538-4357/ad251d doi (DE-627)DOAJ091377188 (DE-599)DOAJ062ae04425934609badbec8cd82d7e40 DE-627 ger DE-627 rakwb eng QB460-466 H. Qu verfasserin aut The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. Cosmology Type Ia supernovae Dark energy Astrophysics M. Sako verfasserin aut M. Vincenzi verfasserin aut C. Sánchez verfasserin aut D. Brout verfasserin aut R. Kessler verfasserin aut R. Chen verfasserin aut T. Davis verfasserin aut L. Galbany verfasserin aut L. Kelsey verfasserin aut J. Lee verfasserin aut C. Lidman verfasserin aut B. Popovic verfasserin aut B. Rose verfasserin aut D. Scolnic verfasserin aut M. Smith verfasserin aut M. Sullivan verfasserin aut P. Wiseman verfasserin aut T. M. C. Abbott verfasserin aut M. Aguena verfasserin aut O. Alves verfasserin aut D. Bacon verfasserin aut E. Bertin verfasserin aut D. Brooks verfasserin aut D. L. Burke verfasserin aut A. Carnero Rosell verfasserin aut J. Carretero verfasserin aut L. N. da Costa verfasserin aut M. E. S. Pereira verfasserin aut H. T. Diehl verfasserin aut P. Doel verfasserin aut S. Everett verfasserin aut I. Ferrero verfasserin aut J. Frieman verfasserin aut J. García-Bellido verfasserin aut G. Giannini verfasserin aut D. Gruen verfasserin aut R. A. Gruendl verfasserin aut G. Gutierrez verfasserin aut S. R. Hinton verfasserin aut D. L. Hollowood verfasserin aut K. Honscheid verfasserin aut D. J. James verfasserin aut K. Kuehn verfasserin aut O. Lahav verfasserin aut J. L. Marshall verfasserin aut J. Mena-Fernández verfasserin aut F. Menanteau verfasserin aut R. Miquel verfasserin aut R. L. C. Ogando verfasserin aut A. Palmese verfasserin aut A. Pieres verfasserin aut A. A. Plazas-Malagón verfasserin aut M. Raveri verfasserin aut E. Sanchez verfasserin aut I. Sevilla-Noarbe verfasserin aut M. Soares-Santos verfasserin aut E. Suchyta verfasserin aut G. Tarle verfasserin aut N. Weaverdyck verfasserin aut DES Collaboration verfasserin aut In The Astrophysical Journal IOP Publishing, 2022 964(2024), 2, p 134 (DE-627)269019219 (DE-600)1473835-1 15384357 nnns volume:964 year:2024 number:2, p 134 https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/article/062ae04425934609badbec8cd82d7e40 kostenfrei https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/toc/1538-4357 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 964 2024 2, p 134 |
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10.3847/1538-4357/ad251d doi (DE-627)DOAJ091377188 (DE-599)DOAJ062ae04425934609badbec8cd82d7e40 DE-627 ger DE-627 rakwb eng QB460-466 H. Qu verfasserin aut The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. Cosmology Type Ia supernovae Dark energy Astrophysics M. Sako verfasserin aut M. Vincenzi verfasserin aut C. Sánchez verfasserin aut D. Brout verfasserin aut R. Kessler verfasserin aut R. Chen verfasserin aut T. Davis verfasserin aut L. Galbany verfasserin aut L. Kelsey verfasserin aut J. Lee verfasserin aut C. Lidman verfasserin aut B. Popovic verfasserin aut B. Rose verfasserin aut D. Scolnic verfasserin aut M. Smith verfasserin aut M. Sullivan verfasserin aut P. Wiseman verfasserin aut T. M. C. Abbott verfasserin aut M. Aguena verfasserin aut O. Alves verfasserin aut D. Bacon verfasserin aut E. Bertin verfasserin aut D. Brooks verfasserin aut D. L. Burke verfasserin aut A. Carnero Rosell verfasserin aut J. Carretero verfasserin aut L. N. da Costa verfasserin aut M. E. S. Pereira verfasserin aut H. T. Diehl verfasserin aut P. Doel verfasserin aut S. Everett verfasserin aut I. Ferrero verfasserin aut J. Frieman verfasserin aut J. García-Bellido verfasserin aut G. Giannini verfasserin aut D. Gruen verfasserin aut R. A. Gruendl verfasserin aut G. Gutierrez verfasserin aut S. R. Hinton verfasserin aut D. L. Hollowood verfasserin aut K. Honscheid verfasserin aut D. J. James verfasserin aut K. Kuehn verfasserin aut O. Lahav verfasserin aut J. L. Marshall verfasserin aut J. Mena-Fernández verfasserin aut F. Menanteau verfasserin aut R. Miquel verfasserin aut R. L. C. Ogando verfasserin aut A. Palmese verfasserin aut A. Pieres verfasserin aut A. A. Plazas-Malagón verfasserin aut M. Raveri verfasserin aut E. Sanchez verfasserin aut I. Sevilla-Noarbe verfasserin aut M. Soares-Santos verfasserin aut E. Suchyta verfasserin aut G. Tarle verfasserin aut N. Weaverdyck verfasserin aut DES Collaboration verfasserin aut In The Astrophysical Journal IOP Publishing, 2022 964(2024), 2, p 134 (DE-627)269019219 (DE-600)1473835-1 15384357 nnns volume:964 year:2024 number:2, p 134 https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/article/062ae04425934609badbec8cd82d7e40 kostenfrei https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/toc/1538-4357 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 964 2024 2, p 134 |
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10.3847/1538-4357/ad251d doi (DE-627)DOAJ091377188 (DE-599)DOAJ062ae04425934609badbec8cd82d7e40 DE-627 ger DE-627 rakwb eng QB460-466 H. Qu verfasserin aut The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. Cosmology Type Ia supernovae Dark energy Astrophysics M. Sako verfasserin aut M. Vincenzi verfasserin aut C. Sánchez verfasserin aut D. Brout verfasserin aut R. Kessler verfasserin aut R. Chen verfasserin aut T. Davis verfasserin aut L. Galbany verfasserin aut L. Kelsey verfasserin aut J. Lee verfasserin aut C. Lidman verfasserin aut B. Popovic verfasserin aut B. Rose verfasserin aut D. Scolnic verfasserin aut M. Smith verfasserin aut M. Sullivan verfasserin aut P. Wiseman verfasserin aut T. M. C. Abbott verfasserin aut M. Aguena verfasserin aut O. Alves verfasserin aut D. Bacon verfasserin aut E. Bertin verfasserin aut D. Brooks verfasserin aut D. L. Burke verfasserin aut A. Carnero Rosell verfasserin aut J. Carretero verfasserin aut L. N. da Costa verfasserin aut M. E. S. Pereira verfasserin aut H. T. Diehl verfasserin aut P. Doel verfasserin aut S. Everett verfasserin aut I. Ferrero verfasserin aut J. Frieman verfasserin aut J. García-Bellido verfasserin aut G. Giannini verfasserin aut D. Gruen verfasserin aut R. A. Gruendl verfasserin aut G. Gutierrez verfasserin aut S. R. Hinton verfasserin aut D. L. Hollowood verfasserin aut K. Honscheid verfasserin aut D. J. James verfasserin aut K. Kuehn verfasserin aut O. Lahav verfasserin aut J. L. Marshall verfasserin aut J. Mena-Fernández verfasserin aut F. Menanteau verfasserin aut R. Miquel verfasserin aut R. L. C. Ogando verfasserin aut A. Palmese verfasserin aut A. Pieres verfasserin aut A. A. Plazas-Malagón verfasserin aut M. Raveri verfasserin aut E. Sanchez verfasserin aut I. Sevilla-Noarbe verfasserin aut M. Soares-Santos verfasserin aut E. Suchyta verfasserin aut G. Tarle verfasserin aut N. Weaverdyck verfasserin aut DES Collaboration verfasserin aut In The Astrophysical Journal IOP Publishing, 2022 964(2024), 2, p 134 (DE-627)269019219 (DE-600)1473835-1 15384357 nnns volume:964 year:2024 number:2, p 134 https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/article/062ae04425934609badbec8cd82d7e40 kostenfrei https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/toc/1538-4357 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 964 2024 2, p 134 |
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10.3847/1538-4357/ad251d doi (DE-627)DOAJ091377188 (DE-599)DOAJ062ae04425934609badbec8cd82d7e40 DE-627 ger DE-627 rakwb eng QB460-466 H. Qu verfasserin aut The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. Cosmology Type Ia supernovae Dark energy Astrophysics M. Sako verfasserin aut M. Vincenzi verfasserin aut C. Sánchez verfasserin aut D. Brout verfasserin aut R. Kessler verfasserin aut R. Chen verfasserin aut T. Davis verfasserin aut L. Galbany verfasserin aut L. Kelsey verfasserin aut J. Lee verfasserin aut C. Lidman verfasserin aut B. Popovic verfasserin aut B. Rose verfasserin aut D. Scolnic verfasserin aut M. Smith verfasserin aut M. Sullivan verfasserin aut P. Wiseman verfasserin aut T. M. C. Abbott verfasserin aut M. Aguena verfasserin aut O. Alves verfasserin aut D. Bacon verfasserin aut E. Bertin verfasserin aut D. Brooks verfasserin aut D. L. Burke verfasserin aut A. Carnero Rosell verfasserin aut J. Carretero verfasserin aut L. N. da Costa verfasserin aut M. E. S. Pereira verfasserin aut H. T. Diehl verfasserin aut P. Doel verfasserin aut S. Everett verfasserin aut I. Ferrero verfasserin aut J. Frieman verfasserin aut J. García-Bellido verfasserin aut G. Giannini verfasserin aut D. Gruen verfasserin aut R. A. Gruendl verfasserin aut G. Gutierrez verfasserin aut S. R. Hinton verfasserin aut D. L. Hollowood verfasserin aut K. Honscheid verfasserin aut D. J. James verfasserin aut K. Kuehn verfasserin aut O. Lahav verfasserin aut J. L. Marshall verfasserin aut J. Mena-Fernández verfasserin aut F. Menanteau verfasserin aut R. Miquel verfasserin aut R. L. C. Ogando verfasserin aut A. Palmese verfasserin aut A. Pieres verfasserin aut A. A. Plazas-Malagón verfasserin aut M. Raveri verfasserin aut E. Sanchez verfasserin aut I. Sevilla-Noarbe verfasserin aut M. Soares-Santos verfasserin aut E. Suchyta verfasserin aut G. Tarle verfasserin aut N. Weaverdyck verfasserin aut DES Collaboration verfasserin aut In The Astrophysical Journal IOP Publishing, 2022 964(2024), 2, p 134 (DE-627)269019219 (DE-600)1473835-1 15384357 nnns volume:964 year:2024 number:2, p 134 https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/article/062ae04425934609badbec8cd82d7e40 kostenfrei https://doi.org/10.3847/1538-4357/ad251d kostenfrei https://doaj.org/toc/1538-4357 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 964 2024 2, p 134 |
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Qu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). 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Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Δ w 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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cosmology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Type Ia supernovae</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dark energy</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Astrophysics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. 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H. Qu M. Sako M. Vincenzi C. Sánchez D. Brout R. Kessler R. Chen T. Davis L. Galbany L. Kelsey J. Lee C. Lidman B. Popovic B. Rose D. Scolnic M. Smith M. Sullivan P. Wiseman T. M. C. Abbott M. Aguena O. Alves D. Bacon E. Bertin D. Brooks D. L. Burke A. Carnero Rosell J. Carretero L. N. da Costa M. E. S. Pereira H. T. Diehl P. Doel S. Everett I. Ferrero J. Frieman J. García-Bellido G. Giannini D. Gruen R. A. Gruendl G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James K. Kuehn O. Lahav J. L. Marshall J. Mena-Fernández F. Menanteau R. Miquel R. L. C. Ogando A. Palmese A. Pieres A. A. Plazas-Malagón M. Raveri E. Sanchez I. Sevilla-Noarbe M. Soares-Santos E. Suchyta G. Tarle N. Weaverdyck DES Collaboration |
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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 |
| 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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. |
| abstractGer |
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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. |
| abstract_unstemmed |
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 (Δ w ) due to including SNe with incorrect host galaxy matches. For SN Ia–only simulations, we find Δ w = 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 Δ w 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. |
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| container_issue |
2, p 134 |
| title_short |
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae |
| url |
https://doi.org/10.3847/1538-4357/ad251d https://doaj.org/article/062ae04425934609badbec8cd82d7e40 https://doaj.org/toc/1538-4357 |
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M. Sako M. Vincenzi C. Sánchez D. Brout R. Kessler R. Chen T. Davis L. Galbany L. Kelsey J. Lee C. Lidman B. Popovic B. Rose D. Scolnic M. Smith M. Sullivan P. Wiseman T. M. C. Abbott M. Aguena O. Alves D. Bacon E. Bertin D. Brooks D. L. Burke A. Carnero Rosell J. Carretero L. N. da Costa M. E. S. Pereira H. T. Diehl P. Doel S. Everett I. Ferrero J. Frieman J. García-Bellido G. Giannini D. Gruen R. A. Gruendl G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James K. Kuehn O. Lahav J. L. Marshall J. Mena-Fernández F. Menanteau R. Miquel R. L. C. Ogando A. Palmese A. Pieres A. A. Plazas-Malagón M. Raveri E. Sanchez I. Sevilla-Noarbe M. Soares-Santos E. Suchyta G. Tarle N. Weaverdyck DES Collaboration |
| author2Str |
M. Sako M. Vincenzi C. Sánchez D. Brout R. Kessler R. Chen T. Davis L. Galbany L. Kelsey J. Lee C. Lidman B. Popovic B. Rose D. Scolnic M. Smith M. Sullivan P. Wiseman T. M. C. Abbott M. Aguena O. Alves D. Bacon E. Bertin D. Brooks D. L. Burke A. Carnero Rosell J. Carretero L. N. da Costa M. E. S. Pereira H. T. Diehl P. Doel S. Everett I. Ferrero J. Frieman J. García-Bellido G. Giannini D. Gruen R. A. Gruendl G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James K. Kuehn O. Lahav J. L. Marshall J. Mena-Fernández F. Menanteau R. Miquel R. L. C. Ogando A. Palmese A. Pieres A. A. Plazas-Malagón M. Raveri E. Sanchez I. Sevilla-Noarbe M. Soares-Santos E. Suchyta G. Tarle N. Weaverdyck DES Collaboration |
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| doi_str |
10.3847/1538-4357/ad251d |
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| up_date |
2024-07-03T20:03:06.377Z |
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