run_input

This script processes input data from LISA data challenge files, converts XYZ data to AET format, chunks the data into segments, and saves the processed data to HDF5 files.

utilities.run_input.AET(X, Y, Z)

utilities.run_input.XYZ2AET(file, Tobs)

Convert XYZ data to AET format from an HDF5 file. :param file: Path to the HDF5 file containing XYZ data. :type file: str :param Tobs: Observation time. :type Tobs: float

Returns:

A, E, T arrays and time array.

Return type:

tuple

utilities.run_input.chunk_data(chunk_T, n_chunks, nseg, A, E, t, path)

Chunk the data into segments of specified length and save to HDF5 files. :param chunk_T: Length of each chunk in seconds. :type chunk_T: float :param n_chunks: Number of chunks to create. :type n_chunks: int :param nseg: Number of segments for averaging. :type nseg: int :param A: A data array. :type A: np.ndarray :param E: E data array. :type E: np.ndarray :param t: Time array. :type t: np.ndarray :param path: Path to save the output files. :type path: str

Returns:

Saves the chunked data to HDF5 files.

Return type:

None

utilities.run_input.main()

To run inference:

bahamas_input --file /path/to/file --chunk_T 2 --n_chunks 54 --nseg 1000 --path /path/to/output