The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae
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DOI：
10.3847/1538-4357/ad251d
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发表时间：
2023-07
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通讯作者：
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. Abbott;M. Aguena;O. Alves;D. Bacon;E. Bertin;D. Brooks;D. Burke;A. Rosell;J. Carretero;L. Costa;M. Pereira;H. Diehl;P. Doel;S. Everett;I. Ferrero;J. Frieman;J. García-Bellido;G. Giannini;D. Gruen;R. Gruendl;G. Gutiérrez;S. Hinton;D. Hollowood;K. Honscheid;D. James;K. Kuehn;O. Lahav;J. Marshall;J. Mena-Fernández;F. Menanteau;R. Miquel;R. Ogando;A. Palmese;A. Pieres;A. P. Malagón;M. Raveri;E. Sanchez;I. Sevilla-Noarbe;M. Soares-Santos;E. Suchyta;G. Tarlé;N. Weaverdyck;Des collaboration
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作者：
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. Abbott;M. Aguena;O. Alves;D. Bacon;E. Bertin;D. Brooks;D. Burke;A. Rosell;J. Carretero;L. Costa;M. Pereira;H. Diehl;P. Doel;S. Everett;I. Ferrero;J. Frieman;J. García-Bellido;G. Giannini;D. Gruen;R. Gruendl;G. Gutiérrez;S. Hinton;D. Hollowood;K. Honscheid;D. James;K. Kuehn;O. Lahav;J. Marshall;J. Mena-Fernández;F. Menanteau;R. Miquel;R. Ogando;A. Palmese;A. Pieres;A. P. Malagón;M. Raveri;E. Sanchez;I. Sevilla-Noarbe;M. Soares-Santos;E. Suchyta;G. Tarlé;N. Weaverdyck;Des collaboration
主要从宿主星系获得的红移测量对于推断Ia型超新星（SNe Ia）的宇宙学参数至关重要。使用图像将SNe与宿主星系匹配是非常重要的，这会导致SNe的一个子集具有不匹配的宿主，从而导致不正确的红移。我们评估了宿主星系的失配率和由此产生的宇宙学参数偏差，这些偏差来自暗能量巡天5年（DES-SN5YR）光度测量样本的模拟。对于DES-SN5YR数据和模拟，我们采用定向光半径法进行宿主星系匹配。在我们的超新星Ia模拟中，我们发现1.7%的超新星与错误的宿主星系匹配，真实宿主与匹配宿主之间的红移差高达0.6。利用我们的分析管道，我们确定了由于包含不正确的宿主星系匹配的SNe而导致的暗能量状态参数方程（Δw）的位移。对于仅ia型SN的模拟，我们发现Δw = 0.0013±0.0026受到宇宙微波背景的限制。在模拟中包括核心坍缩SNe和特殊的SNe Ia，我们发现Δw的范围从0.0009到0.0032，这取决于所使用的光度分类器。该偏差比DES-SN5YR样本对w的预期总不确定度（~ 0.03）小一个数量级。我们得出结论，宿主星系不匹配对w的偏差远小于DES-SN5YR样本的不确定性，但我们鼓励进一步的研究，通过更好的宿主匹配算法或选择削减来减少这种偏差。
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.