Difference between revisions of "TEA-phot"
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* A typical example to reduce and extract photomery from SHOC data would be something like this: | * 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 | 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 | ||
| + | * Follow the prompts for pipeline's instructions and inputs in the terminal. | ||
| + | Note: TEA-phot will NOT do bias and flat field corrections if not BOTH flat AND bias cubes are supplied. | ||
Revision as of 14:07, 6 August 2020
Installation Instructions
(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
"How-to" Instructions and Tips
(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
- Follow the prompts for pipeline's instructions and inputs in the terminal.
Note: TEA-phot will NOT do bias and flat field corrections if not BOTH flat AND bias cubes are supplied.
