Using Synthetic Polarization Images to Test and Validate the Automated Data Analysis Pipeline for the Galactic Plane Infrared Polarization Survey (GPIPS)

Details Using Synthetic Polarization Images to Test and Validate the Automated Data Analysis Pipeline for the Galactic Plane Infrared Polarization Survey (GPIPS) Using Synthetic Polarization Images to Test and Validate the Automated Data Analysis Pipeline for the Galactic Plane Infrared Polarization Survey (GPIPS)

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21543802p&link_type=abstract

American Astronomical Society, AAS Meeting #215, #438.02; Bulletin of the American Astronomical Society, Vol. 42, p.392

Astronomy and Astrophysics

Astronomy

Scientific paper

The Galactic Plane Infrared Polarization Survey (GPIPS) is halfway through the data acquisition phase with an estimated quarter million stellar polarizations measured. This quantity of data requires a robust, efficient, and accurate automated data pipeline. To test and refine our pipeline, we have created a tool to generate synthetic GPIPS images that accurately reproduce the signal, noise, image, and stellar properties of the real survey data from the Mimir instrument. We have used the synthetic images to investigate several issues of data analysis and calibration, including the robustness of the analysis, the instrumental polarization across the FOV, and the best ways to implement magnitude and polarization cuts to maximize data quality and throughput. Additionally, we have used this tool to investigate specific issues that have appeared in preliminary data analysis, including the anomalously high polarizations seen for low signal-to-noise stars, and the preservation of the polarization signal in the presence of stellar crowding.
This work is partially supported by NSF grants AST 06-07500 and AST 09-07790

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