MegaPipe: the MegaCam image stacking pipeline at the Canadian Astronomical Data Centre
Stephen. D. J. Gwyn
TL;DR
MegaPipe is an image stacking pipeline for MegaCam data at CADC that performs precise calibration and combines multiple images into high-quality, calibrated output images and catalogs for astronomical research.
Contribution
The paper introduces a comprehensive pipeline that automates astrometric and photometric calibration and image stacking for MegaCam data, enhancing data quality and accessibility.
Findings
Astrometric accuracy within 0.15 arcseconds externally
Photometric calibration within 0.03 magnitudes
High-quality image stacks and catalogs available online
Abstract
This paper describes the MegaPipe image processing pipeline at the Canadian Astronomical Data Centre. The pipeline combines multiple images from the MegaCam mosaic camera on CFHT and combines them into a single output image. MegaPipe takes as input detrended MegaCam images and does a careful astrometric and photometric calibration on them. The calibrated images are then resampled and combined into image stacks. The astrometric calibration of the output images is accurate to within 0.15 arcseconds relative to external reference frames and 0.04 arcseconds internally. The photometric calibration is good to within 0.03 magnitudes. The stacked images and catalogues derived from these images are available through the CADC website:
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