DESI_SANDBOX

This is a package for:

• Create the input file based on the DESI Mock Spectra for the CNN DLA finder
• Evaluate the predicted result from the CNN DLA finder Algorithm

Installation

git clone https://github.com/JianiDing/DESI_SANDBOX.git
python setup.py develop

Basic Usage

desi_meta_v05:

• hdf5_writter: Used to write the hdf5 file storing the mock spectra (input of the DLA finder)

DLA_meta_build:

• reading_data: Reading Mock DLA meta data from the DESI Mock DLA Catalog
• dla_output_fits: Creating output file for the Mock DLA meta data

run_command:

• running_data: Run the CNN DLA Finder on the mock spectra

cpm:

• dlametadata: Create the DLA meta data from the CNN DLA Finder Predictions
• match_rate: Used to compute the purity and completeness of the predicted results
• confusion_matrix: Used to compute the confusion matrix of the results

undetect_DLA_inspection:

• miss_id_check: Checking the false positive and false negative spectra
• plotting: Plotting the false positive and false negative spectra

The information for the CNN DLA finder Algorithm is listed here: https://github.com/davidparks21/qso_lya_detection_pipeline