J/A+A/622/A103 Python Code Investigating GALaxy Emission (Boquien+, 2019)
CIGALE: a python Code Investigating GALaxy Emission.
Boquien M., Burgarella D., Roehlly Y., Buat V., Ciesla L., Corre D.,
Inoue A.K., Salas H.
<Astron. Astrophys. 622, A103 (2019)>
=2019A&A...622A.103B 2019A&A...622A.103B (SIMBAD/NED BibCode)
ADC_Keywords: Models ; Galaxies
Keywords: methods: data analysis - methods: numerical - methods: statistical -
galaxies: general
Abstract:
Measuring how the physical properties of galaxies change across cosmic
times is essential to understand galaxy formation and evolution. With
the advent of numerous ground-based and space-borne instruments
launched over the past few decades we now have exquisite
multi-wavelength observations of galaxies from the far-ultraviolet
(FUV) to the radio domain. To tap into this mine of data and obtain
new insight into the formation and evolution of galaxies, it is
essential that we are able to extract information from their spectral
energy distribution (SED).
We present a completely new implementation of Code Investigating
GALaxy Emission (CIGALE). Written in python, its main aims are to
easily and efficiently model the FUV to radio spectrum of galaxies and
estimate their physical properties such as star formation rate,
attenuation, dust luminosity, stellar mass, and many other physical
quantities.
To compute the spectral models, CIGALE builds composite stellar
populations from simple stellar populations combined with highly
flexible star formation histories, calculates the emission from gas
ionised by massive stars, and attenuates both the stars and the
ionised gas with a highly flexible attenuation curve. Based on an
energy balance principle, the absorbed energy is then re-emitted by
the dust in the mid- and far-infrared domains while thermal and
non-thermal components are also included, extending the spectrum far
into the radio range. A large grid of models is then fitted to the
data and the physical properties are estimated through the analysis of
the likelihood distribution.
CIGALE is a versatile and easy-to-use tool that makes full use of
the architecture of multi-core computers, building grids of millions
of models and analysing samples of thousands of galaxies, both at high
speed. Beyond fitting the SEDs of galaxies and parameter estimations,
it can also be used as a model-generation tool or serve as a library
to build new applications.
Description:
We present the new generation of the Code Investigating GALaxy
Emission, CIGALE. Three principles have guided its development:
modularity (it is easy to add new modules, and we encourage and
support such developments, or swap modules modelling the same
component), clarity (the code is easy to use and to understand), and
efficiency (it runs quickly and is parallelised to take advantage of
modern processors with multiple cores), both for the developers and
for the users.
File Summary:
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ReadMe 80 . This file
cigale.tar 512 3498580 Python Code Investigating Galaxy Emission
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Acknowledgements:
Mederic Boquien, mederic.boquien(at)uantof.cl
(End) Patricia Vannier [CDS] 04-Dec-2018