I am also working on the development of a pipeline for supernovae detection with Prof. Miguel Quartin and Prof. Beatriz Siffert. This project is focusing on surveys that make use of narrow-band filters, such as J-PAS, J-PLUS and S-PLUS.

​

The supernova pipeline is based on the subtraction of two images from the same region in the sky in different epochs, but in the same filter. Some of the programs used are: WSCRemap (to align both images), HOTPANTS (to subtract the images) and SExtractor (to make a catalogue of the objects found in the final image). Then, I use a program written in C++ to analyse the properties of the final objects - such as size and format - to eliminate as many transient objects that are not supernovae as possible.

We are also working on finding efficiency indicators for this pipeline. This is done by measuring the process' completeness (by simulating fake supernovae and checking how many of them the pipeline will detect) and purity (by checking how many objects beyond the fake supernovae - impurities - it will detect). In order to simulate supernovae light curves, I am making use of the program SNANA, which requires the strategy of the survey and the characteristics of the telescope as input, and returns simulated supernovae light curves as output. Besides that, I use Mathematica to do statistical analysis regarding these simulations (so as to find the best S/N cut, for example). This is currently a work in progress with results still to come.