Currently, most photometric studies of galaxies have only been done by treating a galaxy as a single point object or modeling them with a few axisymmetric components. The advent of IFU surveys has revolutionized the way we study galaxies. Despite its powerful capabilities, wide-area IFU surveys are only limited to local galaxies. The latest development in the spectral energy distribution (SED) fitting method makes it possible to implement the method on a pixel-to-pixel basis. piXedfit, pixelized SED fitting, is a python package that provides tools for obtaining spatially resolved stellar population properties of galaxies from multi-band imaging data. This package will be an essential tool for studying the stellar population properties of ga...
International audienceWe present a new-generation tool to model and interpret spectral energy distri...
Recently, Nersesian et al. (2019) investigated the different stellar population mixes in nearby gala...
We present a newly developed version of BayeSED, a general Bayesian approach to the spectral energy ...
I will present results on the spatially resolved stellar population (SP) properties of nearby galaxi...
In this work we present our experience from the first year of theSkyNet Pan-STARRS1 Optical Galaxy S...
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society....
We present a new method to classify the broad band optical-NIR spectral energy distri-butions (SEDs)...
We present a new method to classify the broad-band optical–near-infrared spectral energy distributio...
A key issue in galaxy formation and evolution is to deepen our understanding of the complex (astro)p...
Aims. Fossil record methods based on spectral synthesis techniques have matured during the past deca...
We present a library of spectral energy distributions (SEDs) using JWST imaging of galaxies of known...
We perform a pixel-by-pixel analysis of 467 galaxies in the GOODS-VIMOS survey to study systematic e...
Context. Measuring how the physical properties of galaxies change across cosmic times is essential t...
Our project, "MegaMorph", is developing a next-generation tool for decomposing galaxies, in terms of...
Correctly modeling and fitting the spectral energy distributions (SED) of galaxies is a crucial comp...
International audienceWe present a new-generation tool to model and interpret spectral energy distri...
Recently, Nersesian et al. (2019) investigated the different stellar population mixes in nearby gala...
We present a newly developed version of BayeSED, a general Bayesian approach to the spectral energy ...
I will present results on the spatially resolved stellar population (SP) properties of nearby galaxi...
In this work we present our experience from the first year of theSkyNet Pan-STARRS1 Optical Galaxy S...
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society....
We present a new method to classify the broad band optical-NIR spectral energy distri-butions (SEDs)...
We present a new method to classify the broad-band optical–near-infrared spectral energy distributio...
A key issue in galaxy formation and evolution is to deepen our understanding of the complex (astro)p...
Aims. Fossil record methods based on spectral synthesis techniques have matured during the past deca...
We present a library of spectral energy distributions (SEDs) using JWST imaging of galaxies of known...
We perform a pixel-by-pixel analysis of 467 galaxies in the GOODS-VIMOS survey to study systematic e...
Context. Measuring how the physical properties of galaxies change across cosmic times is essential t...
Our project, "MegaMorph", is developing a next-generation tool for decomposing galaxies, in terms of...
Correctly modeling and fitting the spectral energy distributions (SED) of galaxies is a crucial comp...
International audienceWe present a new-generation tool to model and interpret spectral energy distri...
Recently, Nersesian et al. (2019) investigated the different stellar population mixes in nearby gala...
We present a newly developed version of BayeSED, a general Bayesian approach to the spectral energy ...