Parametric Recovery of Line‐of‐Sight Velocity Distributions from Absorption‐Line Spectra of Galaxies via Penalized Likelihood

ABSTRACT We investigate the accuracy of the parametric recovery of the line‐of‐sight velocity distribution (LOSVD) of the stars in a galaxy while working in pixel space. Problems appear when the data have a low signal‐to‐noise ratio or the observed LOSVD is not well sampled by the data. We propose a simple solution based on maximum penalized likelihood, and we apply it to the common situation in which the LOSVD is described by a Gauss‐Hermite series. We compare different techniques by extracting the stellar kinematics from observations of the barred lenticular galaxy NGC 3384 obtained with the SAURON integral‐field spectrograph.

[1]  T. Beers,et al.  Measures of location and scale for velocities in clusters of galaxies. A robust approach , 1990 .

[2]  E. Emsellem,et al.  The SAURON project — II. Sample and early results , 2002 .

[3]  P. Saha,et al.  Unfolding kinematics from galaxy spectra: A Bayesian method , 1994 .

[4]  Realistic error estimates on kinematic parameters , 2003, astro-ph/0302021.

[5]  R. Davies,et al.  The SAURON project – I. The panoramic integral-field spectrograph , 2001, astro-ph/0103451.

[6]  Evolutionary Stellar Population Synthesis at 2 Å Spectral Resolution , 1999 .

[7]  Francisco Prada,et al.  New parametrizations of non-Gaussian line-of-sight velocity distribution , 1996 .

[8]  Ortwin Gerhard,et al.  Line-of-sight velocity profiles in spherical galaxies: breaking the degeneracy between anisotropy and mass , 1993 .

[9]  J. Tonry,et al.  A survey of galaxy redshifts. I. Data reduction techniques. , 1979 .

[10]  Recovering Velocity Distributions Via Penalized Likelihood , 1996, astro-ph/9605075.

[11]  Jorge J. Moré,et al.  User guide for MINPACK-1. [In FORTRAN] , 1980 .

[12]  H. Rix,et al.  Optimal estimates of line-of-sight velocity distributions from absorption line spectra of galaxies: nuclear discs in elliptical galaxies , 1992 .

[13]  D. Kelson,et al.  The Evolution of Early-Type Galaxies in Distant Clusters. II. Internal Kinematics of 55 Galaxies in the z=0.33 Cluster Cl 1358+62 , 1995, astro-ph/9911065.

[14]  F. Mosteller,et al.  Understanding robust and exploratory data analysis , 1985 .

[15]  M. Franx,et al.  A new method for the identification of non-Gaussian line profiles in elliptical galaxies , 1993 .

[16]  William H. Press,et al.  Numerical Recipes in Fortran 77 , 1992 .

[17]  Charles L. Lawson,et al.  Solving least squares problems , 1976, Classics in applied mathematics.

[18]  R. Bender,et al.  Line-of-sight velocity distributions of elliptical galaxies , 1994 .

[19]  T. Statler Bringing the cross-correlation method up to date , 1995 .

[20]  G. Illingworth,et al.  A counterrotating core in IC 1459 , 1988 .

[21]  Jorge J. Moré,et al.  User Guide for Minpack-1 , 1980 .

[22]  Michael R. Merrifield,et al.  A new method for obtaining stellar velocity distributions from absorption-line spectra: unresolved Gaussian decomposition , 1993 .

[23]  S. Tremaine,et al.  Axisymmetric, Three-Integral Models of Galaxies: A Massive Black Hole in NGC 3379 , 1999, astro-ph/9912026.

[24]  D. Merritt,et al.  Inferring the mass of spherical stellar systems from velocity moments , 1992 .

[25]  P. Schechter,et al.  Velocity dispersions for 13 galaxies. , 1977 .

[26]  Michele Cappellari,et al.  Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations , 2003, astro-ph/0302262.

[27]  V. Marel,et al.  Velocity profiles of galaxies with claimed black holes – III. Observations and models for M87 , 1994 .

[28]  Hans-Walter Rix,et al.  Dynamical Modeling of Velocity Profiles: The Dark Halo around the Elliptical Galaxy NGC 2434 , 1997 .