Data Reduction

There are some python routines to help you reduce and analyse the data. These can be found in /mnt/64bin/

  • Stack images: To increase the signal-to-noise we typically take many exposures, and so now need to stack them (average) to create a final image. The routine dfstack.py has been designed to do this. The routine stackX.py is an experimental new version that attempts to do the same thing.

  • Find Zeropoint: The zero-point of an image tells us the magnitude that correspond to 1 count, and is used on an image to determine the magnitude of an object by: 

     Mag = Zero_point - 2.5 x log10(counts)
    where the (background subtracted) counts can be determined with GAIA

  • Colour images: To create colour images from B/V/R images, you can use this make_col Python code.

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