Welcome to SpecpolFlow!

About SpecpolFlow

SpecpolFlow is a software package that provides a completely pythonic workflow for the analysis of spectropolarimetric observations of astronomical sources (for example, data aquired using instruments such as ESPaDOnS at CFHT, Narval at TBL, etc). It is designed to provide a single, user-friendly pipeline from telescope to science product.

SpecpolFlow’s routines handle two computationally challenging tasks in spectropolarimetry: spectral normalization (normPlot) and least-squares deconvolution (LSD) profile calculation (LSDpy). The SpecpolFlow package also provides several supporting tools for developing and cleaning line masks, calculating the longitudinal magnetic field, and visualizing the LSD profile. These tools can be used through a fully documented Python API or through a command line interface.

The SpecpolFlow team also maintains a series of detailed tutorials with examples of how to construct a flexible workflow for your specific needs (e.g., automation for very large datasets using tools like pandas, the Python Data Analysis Library). These tutorials are in the form of Python notebooks, which can also be run using collaborative platforms such as Google Colab.

Contact us!

You can reach the SpF Development Team with questions or comments at: specpolflow@gmail.com

Using SpecpolFlow in publications

If you use the SpecpolFLow package in the preparation of any publications, please use the following acknowledgement:
   The SpecpolFlow package is available at folsomcp/specpolFlow.

Individual components of SpecpolFLow can be referenced as follows:
   LSDpy: The GitHub repository for LSDpy is available at folsomcp/LSDpy.
   normPlot: The GitHub repository for normPlot is available at folsomcp/normPlot.