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tutorials/spherex/spherex_sdt/README.md

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### Directory Contents
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- `spx_sdt`: package including functions to run notebook
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- SExtractor files
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- `default.conv`: Convolution mask used as detection filter.
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- `default.nnw`: Table of neural-network weights for star/galaxy separation.
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- `default_sdt.sex`: SExtractor default config file. Specifies catalog, extraction, photometry, etc. options.
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- `default_sdt.param`: SExtractor default parameters file. Specifies columns to include in output SExtractor catalog.
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- `sdt_irsa.md`: Demo notebook.
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- `conda-sdt_env.yml`: Conda environment definition file.
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- `spx_sdt/`: Python package, including functions and configuration files to extract and visualize sources.
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- Python modules
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- `aperture_photometry.py`: Functions adapted from Zafar Rustamkulov to perform aperture photometry.
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- `bokeh_viz.py`: Functions for dynamic `bokeh` visualizations.
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- `firefly_viz.py`: Functions for `Firefly` visualizations.
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- `source_extraction.py`: Functions to work with SExtractor.
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- `sdt_utils.py`: Miscellaneous utility functions for working with IRSA tables and SPHEREx image headers.
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- `conda-sdt_env.yml`: Conda environment definition file.
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- `sdt_irsa.ipynb`: Demo notebook.
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- SExtractor files
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- `default.conv`: Convolution mask used as detection filter.
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- `default.nnw`: Table of neural-network weights for star/galaxy separation.
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- `default_sdt.sex`: SExtractor default config file. Specifies catalog, extraction, photometry, etc. options.
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- `default_sdt.param`: SExtractor default parameters file. Specifies columns to include in output SExtractor catalog.
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## Setup
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