SNIa Detection Analysis Results from Real and Simulated Images Using Specialized Software
Résumé
The detection of transient events, Type Ia supernovae in particular, has
become an important research subject in today’s astronomy. We use as a base tool
the software suite for astronomical image processing called LSSTsp and adapt it
to assemble a Type Ia supernova detection pipe. We study some straightforward
changes of the overall pipeline by selecting better quality inputs to perform a
coaddition of reference images, we analyze the different residual sources detected on
the difference images and, lastly, we build light curves by taking into account the
features of detected difference image analysis sources. Finally, we build a catalog of
supernova candidates by using a random forest classification, and check the relevance
of these additions. We reduce the overall source detection density with our changes
while finding between 82% and 85% of the present Type Ia supernovae.
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