论文标题

黑暗能源调查超新星计划结果:IA类型超新星亮度与宿主星系灰尘相关

The Dark Energy Survey Supernova Program results: Type Ia Supernova brightness correlates with host galaxy dust

论文作者

Meldorf, Cole, Palmese, Antonella, Brout, Dillon, Chen, Rebecca, Scolnic, Daniel, Kelsey, Lisa, Galbany, Lluís, Hartley, Will, Davis, Tamara, Drlica-Wagner, Alex, Vincenzi, Maria, Annis, James, Dixon, Mitchell, Graur, Or, Kim, Alex, Lidman, Christopher, Möller, Anais, Nugent, Peter, Rose, Benjamin, Smith, Mathew, Allam, Sahar, Diehl, H. Thomas, Tucker, Douglas, Asorey, Jacobo, Calcino, Josh, Carollo, Daniela, Glazebrook, Karl, Lewis, Geraint, Taylor, Georgina, Tucker, Brad E., Aguena, Michel, Andrade-Oliveira, Felipe, Bacon, David, Bertin, Emmanuel, Bocquet, Sebastian, Brooks, David, Burke, David, Carretero, Jorge, Kind, Matias Carrasco, Castander, Francisco Javier, Costanzi, Matteo, da Costa, Luiz, Desai, Shantanu, Doel, Peter, Everett, Spencer, Ferrero, Ismael, Friedel, Douglas, Frieman, Josh, Garcia-Bellido, Juan, Gatti, Marco, Gruen, Daniel, Gschwend, Julia, Gutierrez, Gaston, Hinton, Samuel, Hollowood, Devon L., Honscheid, Klaus, James, David, Kuehn, Kyler, March, Marisa, Marshall, Jennifer, Menanteau, Felipe, Miquel, Ramon, Morgan, Robert, Paz-Chinchon, Francisco, Pereira, Maria Elidaiana da Silva, Sanchez, Eusebio, Scarpine, Vic, Sevilla, Ignacio, Suchyta, Eric, Tarle, Gregory, Varga, Tamas Norbert

论文摘要

用IA型超新星(SNE IA)进行宇宙学分析通常假设颜色和发光度($β$)之间存在单一的经验关系,并且不考虑各种宿主 - 半灰尘特性。但是,从大量星系样品中的灰尘研究中,众所周知,灰尘衰减可能会有很大的变化。在这里,我们利用银河系特性的最先进的建模来表征灰尘参数(灰尘衰减$ a_v $,以及描述尘埃斜率$ r_v $)的参数(DES)SN IA主机星系使用公开可用的\ textttttt {bagpipes}。 Utilizing optical and infrared data of the hosts alone, we find three key aspects of host dust that impact SN Ia cosmology: 1) there exists a large range ($\sim1-6$) of host $R_V$ 2) high stellar mass hosts have $R_V$ on average $\sim0.7$ lower than that of low-mass hosts 3) there is a significant ($>3σ$) correlation between the Hubble diagram红色sne ia的残留物将校正后,将散布$ \ sim13 \%$减少,以及'质量步骤''对$ \sim1σ$的重要性。这些代表了基于尘埃的最新预测的独立确认,这些预测试图解释令人困惑的``质量步骤''和内在散布($σ_{\ rm int} $)。我们还发现,与非红色序列星系相比,红色序列星系平均具有较低和更峰值的灰尘法斜率分布。我们发现,当针对红色序列星系和所有其他星系宿主分别确定时,Sn ia $β$和$σ_{\ rm int} $都不同于$>3σ$。拟合的主机之间的协议 - $ r_v $和sn ia $β$ \&$σ_ {\ rm int} $表明,主机灰尘属性在SN IA颜色 - 少量标准化中起着重要作用,并支持SN IA固有散布由$ R_V $变量驱动的说法。

Cosmological analyses with type Ia supernovae (SNe Ia) often assume a single empirical relation between color and luminosity ($β$) and do not account for varying host-galaxy dust properties. However, from studies of dust in large samples of galaxies, it is known that dust attenuation can vary significantly. Here we take advantage of state-of-the-art modeling of galaxy properties to characterize dust parameters (dust attenuation $A_V$, and a parameter describing the dust law slope $R_V$) for the Dark Energy Survey (DES) SN Ia host galaxies using the publicly available \texttt{BAGPIPES} code. Utilizing optical and infrared data of the hosts alone, we find three key aspects of host dust that impact SN Ia cosmology: 1) there exists a large range ($\sim1-6$) of host $R_V$ 2) high stellar mass hosts have $R_V$ on average $\sim0.7$ lower than that of low-mass hosts 3) there is a significant ($>3σ$) correlation between the Hubble diagram residuals of red SNe Ia that when corrected for reduces scatter by $\sim13\%$ and the significance of the ``mass step'' to $\sim1σ$. These represent independent confirmations of recent predictions based on dust that attempted to explain the puzzling ``mass step'' and intrinsic scatter ($σ_{\rm int}$) in SN Ia analyses. We also find that red-sequence galaxies have both lower and more peaked dust law slope distributions on average in comparison to non red-sequence galaxies. We find that the SN Ia $β$ and $σ_{\rm int}$ both differ by $>3σ$ when determined separately for red-sequence galaxy and all other galaxy hosts. The agreement between fitted host-$R_V$ and SN Ia $β$ \& $σ_{\rm int}$ suggests that host dust properties play a major role in SN Ia color-luminosity standardization and supports the claim that SN Ia intrinsic scatter is driven by $R_V$ variation.

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