Determination of the contrast curve and plots for the high-spatial resolution images obtained with the AstraLux instrument at Calar Alto observatory (Spain).
Please ask J. Lillo-Box if you want to use this code for your science.
The code assumes that you have the following structure of folders within the root_path variable:
root_path/11_REDUCED/YYMMDD
for AstraLux images obtained on the night YYMMDD. The code will then create the following additional folders:
root_path/22_ANALYSIS/Sensitivity
root_path/22_ANALYSIS/DetectedSources
root_path/22_ANALYSIS/Summary_plots
The general way to run astrasens is as follows:
python astrasens_run.py [file] [path_to_file] [YYMMDD]
For example, for the image included in the example you can do:
python astrasens_run.py TDRIZZLE_0100_TOI5377_SDSSz__240122.fits /full_path/astrasens/11_REDUCED/ 240122
Alternatively, if you want to run astrasens over a full list of files, create a list in plain ascii with one image per row ('example.lis') and run:
python astrasens_run.py /full_path_to_list/example.lis
Or, if you want to run astrasens for all images within a given night:
python astrasens_run.py all /full_path/astrasens/11_REDUCED/ 240122
If you are using astrasens with targets that are not TESS Objects of Interes (TOI) you must either provide a
identification from the TIC catalog (TESS Input Catalog) with the --TIC option or the Gaia DR3 identification
by using the --GDR3 option like this:
python astrasens_run.py TDRIZZLE_0100_TOI5377_SDSSz__240122.fits /full_path/astrasens/11_REDUCED/ 240122 --GDR3 1040790426885870976
Locating companions:
Determining the sensitivity curve:
Performing aperture photometry on detected companions:
