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

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Bibliographic Details
Online Access: Full Text (via OSTI)
Corporate Author: Fermi National Accelerator Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2020.
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MARC

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245 0 0 |a First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey  |h [electronic resource] :  |b The Effect of Host Galaxy Properties on Supernova Luminosity. 
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500 |a Smith, M.; et al.;  
500 |a SLAC National Accelerator Lab., Menlo Park, CA (United States) 
500 |a USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25) 
520 3 |a 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 ($z$, $x_1$, $c$, $\alpha$, $\beta$) bias correction, we find evidence of a Hubble residual ̀mass step', where SNe Ia in high mass galaxies ($>10̂ \textrm{M}_{\odot}$) are intrinsically more luminous (after correction) than their low mass counterparts by $\gamma=0.040\pm0.019$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 $\gamma=0.066\pm0.020$mag. The 1D-5D $\gamma$ 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 $\gamma$ 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 $\gamma$ and ensure unbiased precision estimates of the dark energy equation-of-state as we enter the era of LSST. 
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