Solvepol: a reduction pipeline for imaging polarimetry data
Abstract
We present a newly, fully automated, data pipeline: Solvepol, designed to reduce and analyze polarimetric data. It has been optimized for imaging data from the Instituto de Astronomia, Geofisica e Ciencias Atmosfericas (IAG) of the University of Sao Paulo (USP), calcite Savart prism plate-based IAGPOL polarimeter. Solvepol is also the basis of a reduction pipeline for the wide-field optical polarimeter that will execute SOUTH POL, a survey of the polarized Southern sky. Solvepol was written using the interactive data language (IDL) and is based on the image reduction and analysis facility (IRAF) task pccdpack, developed by our polarimetry group. We present and discuss reduced data from standard stars and other fields and compare these results with those obtained in the IRAF environment. Our analysis shows that Solvepol, in addition to being a fully automated pipeline, produces results consistent with those reduced by pccdpack and reported in the literature.
Cite
@article{arxiv.1512.09085,
title = {Solvepol: a reduction pipeline for imaging polarimetry data},
author = {Edgar A. Ramírez and Antônio M. Magalhães and James W. Davidson and Antonio Pereyra and Marcelo Rubinho},
journal= {arXiv preprint arXiv:1512.09085},
year = {2017}
}
Comments
Accepted for publication in PASP. 19 pages, 15 figures, 2 tables