Fitting the spectral energy distributions of galaxies


                    Welcome      Data      Fitting      Models       Review       Comments      Authors

 

Inversion Codes, Optical

STARLIGHT

    The Spectral Synthesis non-parametric

    fitting code by the SEAGal Group

STECKMAP

    Inversion with regularization

    Ocvirk et al.

ULYSS

    University of Lyon Spectral analysis

    Software, Koleva et al.

VESPA

    VErsatile SPectral  Analysis code by   

    Edinburgh group, Tojeiro et al.

    (SDSS results available via SQL)

pPXF

    Penalized Pixel Fitting by

    Capellari et Emsellem

fit3D

    Stellar Pops and emission lines

    Sanchez

firefly

     Fitting IteRativEly For Likelihood

      analYsis

FADO

      Fitting Analysis using Differential

      evolution Optimization

prospector

      Principled inference of stellar 

      population properties (spectra, photo)

Bayesian inference of

physical properties

SINOPSIS

     Simulating optical Spectra with

     stellar population models

     by Fritz et al.2007


GOSSIP

    Galaxy-Observed-Simulated SED    

     Interactive Program by PANDORA   

     Group in INAF IASF-Milano


Chorizos

     By Jesus Maiz-Apellaniz


GalMC

     A Markov Chain Monte Carlo Algorithm

     for SED fitting by Acquaviva et al.


CIGALE

     Code Investigating GALaxy

     Emission by OAMP/LAM group


SEABASs

     SEd Analysis using BAyesian

     Statistics


BayeSED

     Parameter estimation and model

     comparison


IZI

     Inferring metallicities and ionization

     parameters


iSEDFit

    Bayesian Spectral Energy

    Distribution Modeling of Galaxies


BEAGLE

     BayEsian Analysis of GaLaxy sEds


FAST

      Fitting and Assessment of Synthetic

      Templates


Bagpipes

      Bayesian Analysis of Galaxies for

      Inference

Photometric Redshifts

Public SED fitting codes

PHAT

    Photo-Z Accuracy Testing


TRAINING SET BASED

ANNz

    Photometric redshifts using Artificial

    Neural Networks, Collister & Lahav

RFPhotoZ

    Random Forest Photo-z

    Carliles et al.

Singal

    Neural Network for photo-Z

    Singal et al.

PhotoRaptor

    Neural network by Cavuoti et al.

DAMEWARE

    machine learning methods, all

    calculations are performed on server


TEMPLATE BASED

Assef

   Uses Low-Resolution Templates of

    Assef et al.

BPZ (also here)

    Bayesian Photometric Redshift

    estimator by Benitez & Coe

EAZY

    ”Easy and Accurate Z-phot from Yale

    group”

ERG

     Evolution of Radio Galaxies

    Age and redshift calculation

HYPERZ

    Photometric redshift code by

    Bolzonella et al.

Kcorrect

   Photo-Z code by Blanton et al.

Le Phare

    PHotometric Analysis for Redshift

    Estimations by Arnouts & Ilbert

ZEBRA

    The Zurich Extragalactic Bayesian

    Redshift Analyzer using adaptive

    templates (ETH)

ZPEG

    Based on the stellar population synthesis

    code PEGASE

PAHFIT

    IDL tool for decomposing

    Spitzer IRS spectra

    Smith et al.

Inversion Codes, Dust

Virtual observatory tools

Emission Lines

HII-CHI-mistry

     Bayesian approach to obtain metallicity,

     nitrogen to oxygen ratio and ionisation

     parameter

zELDA

     Fitting Ly alpha line profiles using

     deep learning



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