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https://github.com/andresgur/tenerife_tcs

Data reduction for the MUSCAT2 camera on the Telescopio Carlos Sanchez on the Observatorio de Tenerife

https://github.com/andresgur/tenerife_tcs

Science Score: 13.0%

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Data reduction for the MUSCAT2 camera on the Telescopio Carlos Sanchez on the Observatorio de Tenerife

Basic Info
  • Host: GitHub
  • Owner: andresgur
  • Language: Python
  • Default Branch: main
  • Size: 22.5 KB
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  • Stars: 0
  • Watchers: 1
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Created about 2 years ago · Last pushed about 1 year ago
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Readme

README.md

tenerife-muscat2-tcs

Data reduction to create RGB images/perform aperture photometry using the MUSCAT2 camera on the Telescopio Carlos Sanchez (TCS) on the Observatorio de Tenerife

The data needs to be stored into a single directory, with the flats and darks in separate directories. This is how a typical workflow would look like to a RGB image:

python reduce.py *.fits -f path/FLATS -d path/DARKS --> this will apply dark subtraction and flat fielding. The task already looks for the appropiate darks and flats based on the header exposure time and filters

./alignimages.sh --> This will run alingimages.py and mean_images.py for each individual filter, thereby creating an aligned, stacked image of each filter. Then the filter stacks will be aligned.

You can then plot the images using: python rgbplot.py --red 0.fits --blue 1_aligned.fits --green 2_*aligned.fits -p 1

Alternatively, you can also perform aperture photometry, to extract fluxes of individual sources or create lightcurves. This can be achieved with: python rgb_plot.py -r apertures.reg -b background.reg where apertures.reg contains a list of ds9 regions (in image units) and labelled, and the background.reg is the background region again in image units.

Remember: python -h will give you the input parameters and a small description of what the script does.

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