Software
This page contains links to some relevant software, developed by members of our group, that can be used to analyse spectra for the study of stellar populations.
| Lector | Indexf | ULySS | Rmodel |
Lector
Responsible: Alexandre Vazdekis
Related Website: http://www.iac.es/galeria/vazdekis/vazdekis_software.html
Description: LECTOR is a Fortran 77 code that measures line-strengths in one dimensional ASCII spectra. The code returns the values of the Lick indices (Worthey et al. 1994 (ApJS, 94, 687); Worthey & Ottaviani 1997 (ApJS, 111, 377)) as well as those of Vazdekis & Arimoto 1999 , Vazdekis et al. 2001 (ApJ, 549, 274), Rose 1994 (AJ, 107, 206), Jones & Worthey 1995 (ApJ, 446, L31) and Cenarro et al. 2001. The Lick-style indices could be either expressed in pseudo-equivalent widths or in magnitudes. If requested the program provides index error estimates on the basis of photon statistics.
Indexf
Responsible: Nicolas Cardiel
Related Website: http://www.ucm.es/info/Astrof/ellipt/pages/page4.html
Description: Indexf is a C++ program that measures line-strength indices (not only the Ca II indices) in fully calibrated FITS spectra. If required, this program computes index errors resulting from the propagation of random errors (e.g. photon statistics, read-out noise) and estimates the effect of errors on radial velocity.
ULySS
Responsible: Mina Koleva
Related Website: http://ulyss.univ-lyon1.fr/
Description: ULySS (University of Lyon Spectroscopic analysis Software) is an open-source software package written in the GDL/IDL language to analyse astronomical data. ULySS fits a spectrum with a linear combination of non-linear components convolved with a line-of-sight velocity distribution (LOSVD) and multiplied by a polynomial continuum. ULySS is used to study stellar populations of galaxies and star clusters and atmospheric parameters of stars.
Rmodel
Responsible: Nicolas Cardiel
Related Website: http://www.ucm.es/info/Astrof/software/rmodel/rmodel.html
Description: This program determines stellar population parameters (e.g. age, metallicity, IMF slope,...), using as input a pair of line-strength indices, through the interpolation in SSP model predictions. Both linear and bivariate fits are computed to perform the interpolation.