TEA-phot

(These instructions should be identical for a Linux or Mac environment and a minimum system requirement is Python 3.7 or later)

• TEA-Phot can be directly downloaded from here or the repository can quickly be cloned through the following command in the terminal:

git clone https://bitbucket.org/DominicBowman/tea-phot.git

Note: If you use the TEA-Phot code to produce results for a scientific publication, we ask you to please adhere to the citation requests of the developers that are on their main repository page (link above).

• TEA-Phot requires only four additional Python modules. To install (if not already) run the following command in the terminal:

pip3 install numpy matplotlib sep astropy

(NB: TEA-phot currently only supports SHOC data (incl. flats and bias files) in a cube format)

• To reduce and extract photometry from SHOC using TEA-phot, in the terminal navigate to the folder that contains the TEA-Phot.py file.
• To display basic usage and optional arguments run:

python3 TEA-Phot.py -h

• A typical example to reduce and extract photomery from SHOC data would be something like this:

python3 TEA-Phot.py SAAO SHOC name_of_data_cube.fits --image_dir /path/to/data_cube/ --flat name_of_flat_cube.fits --flat_dir /path/to/flat_cube/ --bias name_of_bias_cube --bias_dir /path/to/bias_cube/ --out_dir /path/to/output_files_plots/ --do_plot True --source_sigma 2.0

• Wait for window to appear and select target and comparison star with mouse-clicks.
• Follow further prompts from the pipeline for inputs (aperture size etc.) in the terminal.

Note: TEA-phot will NOT do bias and flat field corrections if not BOTH flat AND bias cubes are supplied.