51 citations · 240 across the 10 of their papers we have counts for
3 papers · 1 filter
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions
Tomasz Kacprzak, Jörg Herbel, Adam Amara +1
Approximate Bayesian Computation (ABC) is a method to obtain a posterior distribution without a likelihood function, using simulations and a set of distance metrics. For that reaso…
Cosmic shear calibration with forward modeling
Claudio Bruderer, Andrina Nicola, Adam Amara +3
Weak Gravitational Lensing is a powerful probe of the dark sector of the Universe. One of the main challenges for this technique is the treatment of systematics in the measurement…
The redshift distribution of cosmological samples: a forward modeling approach
Jörg Herbel, Tomasz Kacprzak, Adam Amara +3
Determining the redshift distribution of galaxy samples is essential for several cosmological probes including weak lensing. For imaging surveys, this is usually done using…