26 citations · 75 across the 5 of their papers we have counts for
5 papers
The SELGIFS data challenge: generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
Giovanni Guidi, Javier Casado, Yago Ascasibar +6
In this work we present a set of synthetic observations that mimic the properties of the Integral Field Spectroscopy (IFS) survey CALIFA, generated using radiative transfer techniq…
BaTMAn: Bayesian Technique for Multi-image Analysis
J. Casado, Y. Ascasibar, R. García-Benito +5
This paper describes the Bayesian Technique for Multi-image Analysis (BaTMAn), a novel image-segmentation technique based on Bayesian statistics that characterizes any astronomical…
On the nature of diffuse ionized gas in galaxies -- I The contribution of dust scattering to diffuse line emission
Y. Ascasibar, G. Guidi, J. Casado +2
In this work, we investigate the contribution of dust scattering to the diffuse H-alpha emission observed in nearby galaxies. As initial conditions for the spatial distribution of…
Physical properties of galaxies: toward a consistent comparison between hydrodynamical simulations and SDSS
Giovanni Guidi, Cecilia Scannapieco, C. Jakob Walcher +1
We study the effects of applying observational techniques to derive the properties of simulated galaxies, with the aim of making an unbiased comparison between observations and sim…
Biases and systematics in the observational derivation of galaxy properties: comparing different techniques on synthetic observations of simulated galaxies
Giovanni Guidi, Cecilia Scannapieco, C. Jakob Walcher
We study the sources of biases and systematics in the derivation of galaxy properties of observational studies, focusing on stellar masses, star formation rates, gas/stellar metall…