6 papers
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…