Weak lensing of Type Ia Supernovae from the Dark Energy Survey
MacAulay, E and Bacon, D and Desai, Shantanu and et al, . (2020) Weak lensing of Type Ia Supernovae from the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 496 (3). pp. 1-9. ISSN 0035-8711
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Abstract
We consider the effects of weak gravitational lensing on observations of 196 spectroscopically confirmed Type Ia Supernovae (SNe Ia) from years 1 to 3 of the Dark Energy Survey (DES).We simultaneously measure both the angular correlation function and the non-Gaussian skewness caused by weak lensing. This approach has the advantage of being insensitive to the intrinsic dispersion of SNe Ia magnitudes. We model the amplitude of both effects as a function of σ8, and find σ8 =1.2+0.9-0.8. We also apply our method to a subsample of 488 SNe from the Joint Light-curve Analysis (JLA; chosen to match the redshift range we use for this work), and find σ8 =0.8+1.1-0.7. The comparable uncertainty in σ8 between DES-SN and the larger number of SNe from JLA highlights the benefits of homogeneity of the DES-SN sample, and improvements in the calibration and data analysis. © 2020 Oxford University Press. All rights reserved.
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Item Type: | Article | ||||
Additional Information: | Based in part on observations at Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy under a cooperative agreement with the National Science Foundation. | ||||
Uncontrolled Keywords: | Cosmological parameters; Cosmology: Observations; Large-scale structure of the universe | ||||
Subjects: | Physics Physics > Sound, light and Heat Physics > Astronomy Astrophysics |
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Divisions: | Department of Physics | ||||
Depositing User: | Ms Palak Jain | ||||
Date Deposited: | 25 Nov 2022 09:54 | ||||
Last Modified: | 25 Nov 2022 09:54 | ||||
URI: | http://raiithold.iith.ac.in/id/eprint/11417 | ||||
Publisher URL: | https://doi.org/10.1093/mnras/staa1852 | ||||
OA policy: | https://v2.sherpa.ac.uk/id/publication/24618 | ||||
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