Changes

(These instructions are identical '''NB. If you use the TEA-Phot code to produce results for a Linux or Mac environmentscientific publication, we ask that you please adhere to the citation requests of the developers that are on their main repository page (link below).'''

#*These instructions should be identical for a Linux or Mac environment and Python 3.7 or a later version is recommended.*TEA-Phot can be directly downloaded from [https://bitbucket.org/DominicBowman/tea-phot here] or the repository can quickly be cloned through the following command in the terminal:

Note: If you use the * TEA-Phot code requires only four additional Python modules. To install (if not already) run the following command in the terminal: pip3 install numpy matplotlib sep astropy =="How-to produce results for " Instructions and Tips=='''NB. TEA-phot currently only supports SHOC data (incl. flats and bias files) in a scientific publicationcube format.'''  * To reduce and extract photometry from SHOC using TEA-phot, we ask you to please adhere in the terminal navigate to the citation requests of the developers folder that are on their main repository page 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 (link aboveaperture size etc.)in the terminal.helloNote: TEA-phot will NOT do bias and flat field corrections if not BOTH flat AND bias cubes are supplied.