pyspeckit 0.1.4

Toolkit for fitting and manipulating spectroscopic data in python

<pyspeckit.bitbucket.org>

This is a code framework designed to allow for analysis of spectroscopic data from a wide variety of astronomical instruments. It is motivated by the lack of general spectroscopic analysis tools applicable at multiple wavelengths (compare to IRAF, SPLAT, etc. - these are wavelength-specific and/or do not make user scripting easy).

Initial implementation focuses on optical and radio applications, e.g. gaussian and voigt profile fitting, baseline/continuum fitting, and equivalent width measurements. However, the design is meant to be extensible. We want additional features to be trivial to implement.

In that vein, there is a growing set of spectral models implemented. The model and hyperfinemodel classes makes model implementation quite straightforward, if not trivial (you still have to plug in the right frequency offsets and relative line strengths).

Plotting is straightforward, as is usually the case with matplotlib-based codes. We have a few different methods of error bar plotting implemented, a decent (and expanding) units class for pretty printing of spectroscopic units, and different methods of fit plotting.

We’re also looking for more users to give us more use cases! Contact us at [e-mail]

Requirements: matplotlib numpy

Preferably at least one of: pyfits atpy asciitable

Optional: scipy

A good model for our code is atpy, from which we derived inspiration for the “register functions” capability.

Authors: Adam Ginsburg Jordan Mirocha (or both of us at [e-mail])

The PySpecKit logo uses the Voyager 1 image of Earth known as the “Pale Blue Dot” [ original source | reprocessed image ]