scholarly journals Forecasting cosmological constraints from the weak lensing magnification of type Ia supernovae measured by the Nancy Grace Roman Space Telescope

2020 ◽  
Vol 102 (12) ◽  
Author(s):  
Zhongxu Zhai ◽  
Yun Wang ◽  
Dan Scolnic
2004 ◽  
Vol 600 (2) ◽  
pp. L163-L166 ◽  
Author(s):  
Adam G. Riess ◽  
Louis-Gregory Strolger ◽  
John Tonry ◽  
Zlatan Tsvetanov ◽  
Stefano Casertano ◽  
...  

2016 ◽  
Vol 830 (1) ◽  
pp. 10 ◽  
Author(s):  
Samantha L. Hoffmann ◽  
Lucas M. Macri ◽  
Adam G. Riess ◽  
Wenlong Yuan ◽  
Stefano Casertano ◽  
...  

2014 ◽  
Vol 795 (1) ◽  
pp. 44 ◽  
Author(s):  
A. Rest ◽  
D. Scolnic ◽  
R. J. Foley ◽  
M. E. Huber ◽  
R. Chornock ◽  
...  

2011 ◽  
Vol 727 (2) ◽  
pp. L35 ◽  
Author(s):  
Jeff Cooke ◽  
Richard S. Ellis ◽  
Mark Sullivan ◽  
Peter Nugent ◽  
D. Andrew Howell ◽  
...  

2010 ◽  
Vol 523 ◽  
pp. A7 ◽  
Author(s):  
J. Guy ◽  
M. Sullivan ◽  
A. Conley ◽  
N. Regnault ◽  
P. Astier ◽  
...  

2016 ◽  
Vol 465 (3) ◽  
pp. 2862-2872 ◽  
Author(s):  
D. Scovacricchi ◽  
R. C. Nichol ◽  
E. Macaulay ◽  
D. Bacon

2020 ◽  
Vol 496 (3) ◽  
pp. 4051-4059
Author(s):  
E Macaulay ◽  
D Bacon ◽  
R C Nichol ◽  
T M Davis ◽  
J Elvin-Poole ◽  
...  

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.


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