论文标题

使用黑暗能源调查中的IA型超新星的第一宇宙学结果:宿主星系特性对超新星光度的影响

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: The Effect of Host Galaxy Properties on Supernova Luminosity

论文作者

Smith, M., Sullivan, M., Wiseman, P., Kessler, R., Scolnic, D., Brout, D., D'Andrea, C. B., Davis, T. M., Foley, R. J., Frohmaier, C., Galbany, L., Gupta, R. R., Gutiérrez, C. P., Hinton, S. R., Kelsey, L., Lidman, C., Macaulay, E., Möller, A., Nichol, R. C., Nugent, P., Palmese, A., Pursiainen, M., Sako, M., Thomas, R. C., Tucker, B. E., Carollo, D., Lewis, G. F., Sommer, N. E., Abbott, T. M. C., Aguena, M., Allam, S., Avila, S., Bertin, E., Bhargava, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Everett, S., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Glazebrook, K., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., MacCrann, N., Maia, M. A. G., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Varga, T. N., Walker, A. R., :, Collaboration, The Dark Energy Survey

论文摘要

我们提出了针对黑暗能源调查超新星计划(DES-SN)发现的206个光谱型IA型超新星的宿主星系的改进的光度测量值,并在第一个DES-SN宇宙学分析中使用。将光谱能分布拟合到DES-SN宿主星系的$ GRIZ $光度测量值,我们得出了出色的质量和恒星形成率。对于DES-SN样本,当考虑5D($ z $,$ x_1 $,$ c $,$α$,$β$)偏差校正时,我们找到了一个哈勃剩余的“质量步骤”的证据,其中sne ia sne sne sne sne sne se se s in High Mose Galaxies中的SNE IA($> 10^{10}} {10} \ textrm {M} $ confortion inistion nious ply sortins inistiins inistiins niust y holtins inins inins inins inins inins inins inins inins inins inins( $γ= 0.040 \ pm0.019 $ mag。该值比第一个DES-SN宇宙学分析中的值大于$ 0.031 $ ag。这种差异是由于更新的光度测量和改进的恒星形成历史的组合,并且不是来自宿主 - 伴随错误识别。当使用1D(仅红移)偏置校正时,推断的质量步骤更大,$γ= 0.066 \ pm0.020 $ mag。 DES-SN的1D-5D $γ$差异为$ 0.026 \ pm0.009 $ mag。我们表明,这种差异是由于宿主星系恒星质量与5D距离偏置校正的$ x_1 $组成部分之间的牢固相关性。为了更好地理解这种效果,我们在模拟的SN IA样品中包括光曲线宽度和恒星质量之间的固有相关性。我们表明,5D拟合将恢复$ -9 $ mmag偏置的$γ$,而1D拟合的$+2 $ mmag偏差。这种差异可以解释数据中看到的差异的一部分。在我们进入LSST时代时,必须改善星系性能与SN之间的建模相关性,以确定对$γ$的含义,并确保对黑暗能源方程式的无偏精度估计。

We present improved photometric measurements for the host galaxies of 206 spectroscopically confirmed type Ia supernovae discovered by the Dark Energy Survey Supernova Program (DES-SN) and used in the first DES-SN cosmological analysis. Fitting spectral energy distributions to the $griz$ photometric measurements of the DES-SN host galaxies, we derive stellar masses and star-formation rates. For the DES-SN sample, when considering a 5D ($z$, $x_1$, $c$, $α$, $β$) bias correction, we find evidence of a Hubble residual `mass step', where SNe Ia in high mass galaxies ($>10^{10} \textrm{M}_{\odot}$) are intrinsically more luminous (after correction) than their low mass counterparts by $γ=0.040\pm0.019$mag. This value is larger by $0.031$mag than the value found in the first DES-SN cosmological analysis. This difference is due to a combination of updated photometric measurements and improved star formation histories and is not from host-galaxy misidentification. When using a 1D (redshift-only) bias correction the inferred mass step is larger, with $γ=0.066\pm0.020$mag. The 1D-5D $γ$ difference for DES-SN is $0.026\pm0.009$mag. We show that this difference is due to a strong correlation between host galaxy stellar mass and the $x_1$ component of the 5D distance-bias correction. To better understand this effect, we include an intrinsic correlation between light-curve width and stellar mass in simulated SN Ia samples. We show that a 5D fit recovers $γ$ with $-9$mmag bias compared to a $+2$mmag bias for a 1D fit. This difference can explain part of the discrepancy seen in the data. Improvements in modeling correlations between galaxy properties and SN is necessary to determine the implications for $γ$ and ensure unbiased precision estimates of the dark energy equation-of-state as we enter the era of LSST.

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