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Working on a pipeline to detect exoplanets and other stuff from Roman Space Telescope Data.

hi, this is my first devlog!!!

I am currently designing a pipeline for the roman space telescope that automatically detects celestial stuff using standard algorithms and machine learning based approach.

This pipeline will be created not in a single project, rather a series of projects (Exoplanet Hunter V1,V2,V3…. etc because this is a challenging task)

For v1, i am learning theory, concepts and use of python libraries used for astronomy. i have come across lightkurve, astropy and many more.

its day 3 of working on the project (v1) and i can only spend around an hour or so daily (due to studies 😭😭😭😭).

  • Day 1: was all about learning about exoplanets, how they transit and how we detect them. i also came across the libraries i mentioned earlier. i spent most of the time figuring out how they work and all.

  • Day 2: was quite interesting, it was the day i learned how to properly use FITS (or FIT or fts) files and their types. (tpf, lightcurves and single image files) and how to properly use them to plot graphs. again, i spent a lot of time searching for files here and there on the web. then i got to know that we can easily download files using lightkurve library. 🥲🥲
    then, i selected a few stars with known exoplanets or some anomalies and began plotting their fits files to graphs and saw some transits, stellar flares and a supposidely binary star system.

  • Day 3: continued plotting more graphs of known targets to understand what those graphs mean and how to calculate various metrics of the targets via graphs.

(in the upcoming versions, i will explore adding ml to my pipeline, and instead of downloading fits of known planets, i will myself run and test algorithms that can detect explanatory transits via custom thresholds and using machine learning approaches. i have planned a lot for the future. this is just a starting point and every project in this series will assemble to create the final working pipeline! stay tuned!!!)

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