We present a non-parametric cell-based method of selecting highly pure and largely complete samples of spiral galaxies using photometric and structural parameters as provided by standard photometric pipelines and simple shape fitting algorithms. The performance of the method is quantified for different parameter combinations, using purely human-based classifications as a benchmark. The discretization of the parameter space allows a markedly superior selection than commonly used proxies relying on a fixed curve or surface of separation. Moreover, we find structural parameters derived using passbands longwards of the g band and linked to older stellar populations, especially the stellar mass surface density μ* and the r-band effective radius ...
The analysis of the light distribution of galaxy is a crucial step in studying their structural comp...
We analyse the relationships between galaxy morphology, colour, environment and stellar mass using d...
Knowledge of the morphology of galaxies is essential in studying galaxy formation and evolution. Whe...
We present a non-parametric cell-based method of selecting highly pure and largely complete samples ...
(Abridged) We present a non-parametric cell-based method of selecting highly pure and largely comple...
We present a non-parametric cell-based method of selecting highly pure and largely complete samples ...
We devise improved photometric parameters for the morphological classification of galaxies using a b...
We present two new non-parametric methods for quantifying galaxy morphology: the relative distributi...
We present the first nonparametric morphological analysis of a set of spiral galaxies from UV to sub...
International audienceBased on the recent advancements in the numerical simulations of galaxy format...
Given the enormous galaxy databases of modern sky surveys, parametrising galaxy morphologies is a ve...
This paper describes an automatic isophotal fitting procedure that succeeds, without the support of ...
We present a morphological analysis of distant field galaxies using the deep Advanced Camera for Sur...
We present a quantitative method to classify galaxies, based on multi-wavelength data and constructe...
A sample of 40 bright spiral galaxies (${B_{\rm T}} < 12$) with low inclination and without bar wa...
The analysis of the light distribution of galaxy is a crucial step in studying their structural comp...
We analyse the relationships between galaxy morphology, colour, environment and stellar mass using d...
Knowledge of the morphology of galaxies is essential in studying galaxy formation and evolution. Whe...
We present a non-parametric cell-based method of selecting highly pure and largely complete samples ...
(Abridged) We present a non-parametric cell-based method of selecting highly pure and largely comple...
We present a non-parametric cell-based method of selecting highly pure and largely complete samples ...
We devise improved photometric parameters for the morphological classification of galaxies using a b...
We present two new non-parametric methods for quantifying galaxy morphology: the relative distributi...
We present the first nonparametric morphological analysis of a set of spiral galaxies from UV to sub...
International audienceBased on the recent advancements in the numerical simulations of galaxy format...
Given the enormous galaxy databases of modern sky surveys, parametrising galaxy morphologies is a ve...
This paper describes an automatic isophotal fitting procedure that succeeds, without the support of ...
We present a morphological analysis of distant field galaxies using the deep Advanced Camera for Sur...
We present a quantitative method to classify galaxies, based on multi-wavelength data and constructe...
A sample of 40 bright spiral galaxies (${B_{\rm T}} < 12$) with low inclination and without bar wa...
The analysis of the light distribution of galaxy is a crucial step in studying their structural comp...
We analyse the relationships between galaxy morphology, colour, environment and stellar mass using d...
Knowledge of the morphology of galaxies is essential in studying galaxy formation and evolution. Whe...