The Spectral Correlation Function (SCF) is a diagnostic tool which scans spectral-line maps quantifying the correlation amoungst spectra at different positions and spatial lags within a map.

This page contains the following resources.

Publications and Papers

• Padoan, Goodman, & Juvela 2003, The Spectral Correlation Function of Molecular Clouds: A Statistical Test for Theoretical Models
  
• Ballesteros-Paredes, Vazquez-Semadeni, & Goodman 2002, Velocity Structure of the Interstellar Medium as Seen by the Spectral Correlation Function
  
• Padoan, Kim, Goodman, & Staveley-Smith 2001, A New Method to Measure and Map the Gas Scale Height of Disk Galaxies
  
• Padoan, Rosolowsky, & Goodman 2001, The Effects of Noise and Sampling on the Spectral Correlation Function
  
• Rosolowsky, Goodman, Wilner, & Williams 1999, The Spectral Correlation Function: A New Tool for Analyzing Spectral Line Maps   Data Page for this Paper
  

Old Source Codes

The SCF algorithm is written for IDL 4.0.1 and is compatible with IDL 5.0.x, (though not optimized).

There are three basic distributions of the SCF code:

• The original SCF distribtution.
  • Features include: Gaussian fitting for line parameters, randomization of data cubes, calculation of correlation functions with lag and scaling, and a variable resolution box.
  • Download the suite in tar format.
  • Download the suite as text documents.
• A minimal SCF distribution.
  • Features include: Moment analysis to estimate line parameters, randomization of data cubes, only calculates the correlation function with no scaling or lag, and a variable resolution box.
  • Download the suite in tar format.
  • Download the suite as text documents.
• The GUI SCF distribution.
  • Features include: a Graphical User Interface (GUI) for both the original and the minimal SCF distributions, analysis routines including map generation, statistical analyses, and region-of-interest analysis.
  • Download the suite in tar format.
  • Download the suite as text documents.

If you have questions or comments about the SCF project or would like to submit data for analysis by the SCF algorithm, please contact agoodman@cfa.harvard.edu.