Automated transient detection on the Cloud

Sébastien Fabbro (University of Victoria), Clare Higgs (Queen's University), JJ Kavelaars (NRC-HIA), Doug Welch (McMaster University)


We present an automated detection and photometry of transient light curves system. The Canadian Advanced Network for Astronomical Research (CANFAR), a cloud service for astronomy, is used as a platform to perform unsupervised detection and photometry of thousands of transients on the full MACHO archive. The first phase of processing, acquiring precise photometry of all sources detected in individual frames, took 70 core years. The light curves were produced using multi-frame simultaneous profile fitting software (ALLFRAME). We are now automating the second phase of processing, linking the stellar flux measurements from individual frames into multi-year time series. We also compare the quality of photometric time-series between the two algorithms and also to previously published photometry based on DoPHOT. We also show another example of transient detection using an image subtraction software on CFHT Megacam images. We will present how CANFAR can be used as an on-demand service to automatically produce transient light curves.

Paper ID: P041

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