The Deeper, Wider, Faster programme's first DECam optical data release
James Freeburn, Jeff Cooke, Anais M\"oller, Jielai Zhang, Dougal Dobie, Brent Miszalski, Simon O'Toole, James Tocknell, Sam Huynh, Sara Webb, Igor Andreoni, Natasha Van Bemmel, Timothy M. C. Abbott, Rebecca Allen, Stephanie Bernard, Simon Goode, Sarah Hegarty, J. Chuck Horst

TL;DR
The Deeper, Wider, Faster programme's first DECam data release provides high-cadence optical photometry, a novel data processing pipeline, and demonstrates its effectiveness through transient recovery and variable star detection in a large dataset.
Contribution
Introduces a new data processing pipeline, dwf-postpipe, for high-cadence photometry and transient detection in DECam data, along with a comprehensive data release and validation.
Findings
High recovery efficiency of injected transients (~97%) with dwf-postpipe.
Successful identification of various variable stars and transient phenomena.
Demonstrated pipeline performance in real astronomical fields.
Abstract
The transient and variable optical sky is relatively poorly characterised on fast (1hr) timescales. With the Dark Energy Camera (DECam), the Deeper, Wider, Faster programme (DWF) probes a unique parameter space with its deep (median of AB mag), minute-cadence imaging. In this work, we present DWF's first data release which comprises high cadence photometry extracted from 12000 images and 166 hours of telescope time. We present a novel data processing pipeline, , developed to identify sources and extract their light curves. The accuracy of the photometry is assessed by cross-matching to public catalogues. In addition, we injected a population of synthetic GRB afterglows into a subset of the DWF DECam imaging to compare the efficiency of our pipeline with a standard difference imaging approach. Both pipelines show performance and reliably…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astronomy and Astrophysical Research · CCD and CMOS Imaging Sensors
