Research Note

Optical spectropolarimetry with incomplete data sets

Department of Astronomy and McDonald Observatory, The University of Texas at Austin, 1 University Station, C1400, Austin, Texas 78712-0259, USA e-mail: jrm@astro.as.utexas.edu

Received: 17 July 2007
Accepted: 29 January 2008

Abstract

Context. Linear spectropolarimetry is a “photon-hungry” observing technique, requiring a specific sequence of observations to determine the Stokes Q and U parameters. For dual-beam spectropolarimeters, the Q and U Stokes parameters can be ideally determined using observations at  retarder plate positions. The additional polarization signal introduced by instrumental effects requires the redundancy of  observations to correct for these effects and to accurately measure the linear polarization of astronomical objects.

Aims. We wish to determine if the “instrumental signature corrections” for the Stokes Q and U parameters, and , are identical for observations with dual-beam spectropolarimeters. For instances when observations were only acquired at  retarder plate angles, we wish to determine if the complete measurement of one Stokes parameter and the associated instrumental signature correction can be used to determine the other Stokes parameter.

Methods. We constructed analytical and Monte Carlo models of a general dual-beam spectropolarimeter to study the factors affecting the assumption and the uncertainty thereon. We compared these models with VLT FORS1 linear spectropolarimetry observations.

Results. We find that, in general, , with the variance around zero () being directly related to the signal-to-noise ratio of the observations. Observations of a polarized standard star, observed under identical instrumental conditions over the period of 2002-2007, show that the assumption of is generally true over a long period, although the absolute values of and vary between observational epochs. While the variance of is not dependent on the polarization angle, significant deviations from arise when .

Conclusions. Incomplete VLT FORS1 spectropolarimetry datasets, for which observations at only  retarder plate position angles have been acquired, can be analyzed under the assumption that . The uncertainty associated with this assumption is directly related to the signal-to-noise ratio of the observations. This property of the analysis of spectropolarimetry, with dual beam spectropolarimeters, can be used to test for the presence of artifacts affecting individual observations and to assess the quality of the data reduction, when observations at all four retarder plate angles have been acquired.