Data Processing Pipeline and Products from the NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths

This Zenodo dataset contains the data processing pipeline, as well as the data products, corresponding to the scientific journal paper "NANOGrav 12.5-Year Data Set: Dispersion Measure Mis-Estimation with Varying Bandwidths". The processing pipeline is structured as follows:

1. 1_fit_dispersion_3terms.py  reads the .tim files (containing the times-of-arrival), creates the broadband and narrowband datasets, and fits a dispersion model to both datasets using three parameters.
2. 2_plot_fits_differences.py creates the residual plots showing the differences in the fitted values of the parameters.
3. 3_autocovariance.py calculates the autocovariance function of the differences in the fitted values, and creates the corresponding plots.
4. All the files starting with "plot" are convenience scripts for creating the plots presented in the paper.
5. All the files starting with "sophia" are utility functions created by the authors that are used in the main pipeline.
6. The folder "NANOGrav_12yv4" contains the dataset analyzed in this work.
7. The folder "timing_analysis" contains utility functions created by the NANOGrav collaboration that are used in the main pipeline.

Please do not hesitate to send all your questions, concerns, or commentaries to sophia.sosa@nanograv.org