51 citations · 240 across the 10 of their papers we have counts for
11 papers
Fast Lightcones for Combined Cosmological Probes
Raphael Sgier, Janis Fluri, Jörg Herbel +4
The combination of different cosmological probes offers stringent tests of the CDM model and enhanced control of systematics. For this purpose, we present an extension of the li…
Predicting Cosmological Observables with PyCosmo
F. Tarsitano, U. Schmitt, A. Refregier +7
Current and upcoming cosmological experiments open a new era of precision cosmology, thus demanding accurate theoretical predictions for cosmological observables. Because of the co…
Spectro-Imaging Forward Model of Red and Blue Galaxies
Martina Fagioli, Luca Tortorelli, Jörg Herbel +3
For the next generation of spectroscopic galaxy surveys, it is important to forecast their performances and to accurately interpret their large data sets. For this purpose, it is n…
Measurement of the B-band Galaxy Luminosity Function with Approximate Bayesian Computation
Luca Tortorelli, Martina Fagioli, Jörg Herbel +3
The galaxy Luminosity Function (LF) is a key observable for galaxy formation, evolution studies and for cosmology. In this work, we propose a novel technique to forward model wide-…
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1
T. Kacprzak, J. Herbel, A. Nicola +52
Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and re…
The PAU Survey: A Forward Modeling Approach for Narrow-band Imaging
Luca Tortorelli, Lorenza Della Bruna, Jörg Herbel +15
Weak gravitational lensing is a powerful probe of the dark sector, once measurement systematic errors can be controlled. In Refregier & Amara (2014), a calibration method based on…
Forward Modeling of Spectroscopic Galaxy Surveys: Application to SDSS
Martina Fagioli, Julian Riebartsch, Andrina Nicola +6
Galaxy spectra are essential to probe the spatial distribution of galaxies in our Universe. To better interpret current and future spectroscopic galaxy redshift surveys, it is impo…
Fast Point Spread Function Modeling with Deep Learning
Jörg Herbel, Tomasz Kacprzak, Adam Amara +2
Modeling the Point Spread Function (PSF) of wide-field surveys is vital for many astrophysical applications and cosmological probes including weak gravitational lensing. The PSF sm…
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…