National Centre for Nuclear Research, Warsaw, Poland
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Credit: https://www.almaobservatory.org/
Centaurus A (NGC 5128)
Colour composite image, revealing the lobes and jets originates from the active galaxy’s central black hole. This image was obtained with three instruments:
Centaurus A (NGC 5128)
Credit: ESO Centaurus A LABOCA
Multiwavelength imagery of DustPedia galaxy NGC 368 and Six of the enigmatic blue and dusty gas rich galaxies revealed in Clark et al., 2015
… we are working (almost only) with broad band photometry
Iyer et al., 2025 "The Spectral Energy Distributions of Galaxies"
Credit: M.Hamed
young stellar populations
starsze populacje gwiazdowe
Polycyclic aromatic hydrocarbon
starsze populacje gwiazdowe
old stellar populations
hot dust
cold dust
synchrotron emission (AGN)
hot gas
Credit: https://ned.ipac.caltech.edu/level5/March13/Lagache/Lagache2.html
The ULIRG is observed at redshift z=0.66 and is represented here in the rest-frame (from Galliano 2004).
GALEX (UV)
(Credit: NASA)
Herschel( Credit: NASA)
VLT (optical) (Credit: ESO)
AKARI (MIR-FIR)
(Credit: JAXA)
GEMINI (opt)
Spitzer (NIR-MIR)
(Credit: NASA)
CFHT (Credit: cfht)
Iyer et al., 2025 "The Spectral Energy Distributions of Galaxies"
Stellar & dust emissions fitted separatly
to use all the data in a consistent way
we can do it under the assumption of the energy balance
Pacifici et al., 2023
The basic flow of the SED-fitting process, which requires understanding the data set, setting the priors, testing the assumptions, running the selected tool, and evaluating the results.
https://github.com/bd-j/prospector
https://github.com/bd-j/prospector
https://github.com/bd-j/prospector
https://github.com/bd-j/prospector
sSFR=SFR/Mstar
https://github.com/bd-j/prospector
https://github.com/bd-j/prospector
(absorption and scattering of star light by dust)
Credits: NASA
Toba et al., 2021
x-ray eROSITA
Credit: Guang, KM et al., 2022
Radio LOFAR
KM preliminary results
Radio LOFAR
X-ray Chandra
Pacifici et al., 2023
Pacifici et al., 2023
z~1
Pacifici et al., 2023
z~3
The basics of the spectral energy distribution (SED) fitting methods is to reconstruct the stellar (and dust) emission of a galaxy with population synthesis models and SFH of varying complexity with free parameters based on the multi-λ broadband including dust attenuation.
SED fitting a method commonly used to derive physical parameters useful to quantify galaxy evolution, the most popular ones being the SFR and the Mstar.
CIGALE
Code Investigating GALaxy Emission
http://cigale.lam.fr/
For each galaxy the best value for each parameter as well as the best fitted model is found using the Bayesian-like statistical analysis (χ2 ); In the next step, the physical values are calculated based on the probability distribution function (PDF) of the derived parameters of interest
CIGALE
Code Investigating GALaxy Emission
http://cigale.lam.fr/
SFH: model composed of two decreasing exponentials; delayed tau model; your own model from the file,
stellar Bruzual and Charlot (2003); Maraston 2005,
nebular computing the nebular emission from the UV to the NIR. It includes both the nebular lines and the nebular continuum.
att. Calzetti et al. (2000) & Leitherer et al. (2002); Charlot & Fall (2000)
IR Dale et al. (2014); Draine and Li (2007); Casey (2012)
AGN Fritz et al. (2006) AGN dust torus emission; Dale et al. (2014), Stalevski et al., (2016) - SKIRTOR (clumpy torus + att)
radio: Synchrotron radio emission based on the radio-IR correlation, a free power–law spectral slope, and the assumption that at 21 cm the spectrum is dominated by non–thermal emission
One can also write his model to include it in the pipeline!
Pacifici et al., 2023
The basic flow of the SED-fitting process, which requires understanding the data set, setting the priors, testing the assumptions, running the selected tool, and evaluating the results.
http://www.stsci.edu/~dcoe/BPZ/sedanim.gif
https://ogrisel.github.io/scikit-learn.org/