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SVDFIT 1.9.3 -
An Eigenvector Sky Removal Package for IRAF
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SVDFIT is an IRAF add-on package developed at the Smithsonian
Astrophysical Observatory Telescope Data Center to use Singular Value
Decomposition to compute a set of eigenvectors from a large number of
spectra and fit them to other spectra for various reasons. Originally,
we developed the package to estimate and remove the sky spectrum from
spectra without a simultaneous measurement of the sky using a model
with multiple eigenvectors. We have also used it to create radial
velocity template spectra from multiple observations of similar objects
and to fit combined observed sky spectra to object plus sky spectra for
removal of the sky background removal from fiber spectra.
SVDFIT decomposes a set of spectra into eigenvectors and fits
a set of those eigenvectors to another spectrum, leaving residuals
There are three main tasks in the package:
- svdprep rebins spectra to identical linear dispersion
- svdvec computes the eigenvectors from the prepared spectra
- svdres fits a subset of those eigenvectors to a list
of spectra, returning fit coefficients and residual spectra
The latest version is available in IRAF SPP source code via ftp at
ftp://cfa-ftp.harvard.edu/pub/iraf/svdfit-1.9.3.tar.gz.
or via http at
http://tdc-www.harvard.edu/iraf/svdfit/svdfit-1.9.3.tar.gz.
Binary executables for Linux and Solaris are available at
http://tdc-www.harvard.edu/iraf/svdfit/svdfit-1.9.3-bin.redhat.tar.gz.
and
http://tdc-www.harvard.edu/iraf/svdfit/svdfit-1.9.3-bin.ssun.tar.gz.
Our technique is described in a paper published in the
April 20 2000 issue of The Astropysical Journal Letters, which
is available through the ADS at
http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2000ApJ...533L.183K
Here is the history of modifications to this package.
Last updated 14 May 2010 by Doug Mink