Week 11 & 12: Last two weeks of GSoC
Hey Sid! What’s the progress? What did you do in last 2 weeks?
The work was completed on time! I spent the last two weeks coding up the saving versions of ccds, arrays and filenames. With these, one can apply a function on the desired object (i.e. ccd or array or filename) and can also save it to FITS file. There are various options available for saving, like the prefix name of the saved file, suffix name of saved file and also the location at which to save, check out the repo for more info!
Awesome, Can you show some work samples?
Sure, here it is!
This is a bias frame as captured:
When the frame undergoes overscan subtraction followed by trimming the overscan region, it turns out to be:
Several bias frames after overscan subtraction and trimming are stacked together and combined, this is the master bias frame used for subsequent processing of images. This is how it looks:
Next comes the processing of flat frames, this is a dome flat r frame as captured:
When the frame undergoes bias subtraction (by master_bias) followed by overscan subtraction and trimming, it looks something like:
Several dome_flat_r frames are stacked together and combined by mean, this results in:
Similarly, below are processed and combined frames (i.e. master frame) of dome_flat_i and dome_flat_z:
Now comes the most interesting part, processing of science. The raw image of scienc looks like (this one is NEP2581-r):
This frame when undergoes bias subtraction, overscan subtraction, trimming and flat correction (by the corresponding flat frame), looks like:
Finally these frames are stacked and combined by mean, so the final processed image looks like:
Similarly, below are processed and combined frames (i.e. master_frame) of NEP2581-i and NEP2581-z:
That’s awesome! So what are your future plans about the package?
There are some more advanced algorithms (i.e. cosmic ray detection, part of my future goals) left to be implemented, I have my next 2 weeks completed packed, so will implement these after the next two weeks!
At the end, I would like to thank my mentors for being so kind and cooperative, thanks for guiding me at every step of this project! This project wouldn’t be possible without you guys, thanks a lot!
-sl