The main focus in this IFISR-Astro-231020-PSD coded program is the creation of a robust toolbox to disentangle stellar signals from noise and background in astronomical images (and also from derived lightcurve products) of telescopes. 

IFISR-Astro-231020-PSD-JWSTMIRI

This project utilizes statistical and digital image analysis techniques, available data and literature to improve Point Source Detection in James-Webb Space Telescope Mid-InfraRed Instrument images. 

Related publications/conferences:

[2401.15779] Value Sliced and Derivative Images for Source Mask in JWST MIRI Photometry (arxiv.org) 

In this arxiv preprint, seven real JWST MIRI F770W images were examined with unWISE catalog sources located on them. Eliminating pixel digital numbers (intensities) below a certain percentage, i.e. retaining top 0.3 % of values, and derivative images were utilized to source mask more unWISE catalog objects without resulting in erroneous detections. A combination of value sliced fraction images and derivative image method looks quite promising.

2023 October Conference Beyond_BookofAbstract Page 31/42 for Güray Hatipoğlu abstract (etu.edu.tr) 

In this conference presentation, the results of applying Singular Spectrum Analysis to the simulated image of 100 celestial signals in varying shapes and luminosities with various added noises were explained. Later, several application of this method to real JWST MIRI F770W results were also presented, with slightly better capture of cataloged objects compared to the standard Photutils PSF Photometry with default values.