PhotoRed: Reduction of photometric data

PhotoRed is a versatile and user-friendly Python tool designed for photometric 
reduction. To ensure compatibility with any telescope and filter set, the script 
requires a configuration file in .json format containing specific telescope 
parameters. 

The reduction process utilizes IRAF (Image Reduction and Analysis Facility), 
a robust suite of software developed by NOAO (National Optical Astronomy Observatory) 
for processing and analyzing CCD data. Access to IRAF is streamlined through PyRAF, 
which integrates IRAF functionality into Python workflows.

The photometric reduction workflow is structured as follows:

	1) Masterbias computation: The masterbias is generated using the imcombine task.
	2) Bias Subtraction: The masterbias is subtracted from flat-field and object images 
	using the ccdproc task.
	3) Image Trimming: Trimming of the images is also carried out with ccdproc.
	4) Masterflat Computation: Separate masterflats for each filter are created using the flatcombine task.
	The masterflat is normalized by its mean value.
	5) Flat-Field Correction: Each object image, with its masterbias already subtracted, is divided by the 
	corresponding master flat.
	
This step-by-step approach ensures accurate and efficient photometric data reduction tailored 
to the specific requirements of your observations.