Data supporting the publication "Single-step Phase Identification and Phase Locking for Coherent Beam Combination using Deep Learning"

This dataset is supporting the publication "Simultaneous Phase Correction and Beam Shaping for Coherent Beam Combination using Deep Learning"

The data is collated in 2 main folders. One for Figurative Data and one for Numerical Data.

1. Figurative Data

The figure files used in the publication can be found in the directory named 'root/dataset/Figurative Data/'. The figures referenced in the publication as Figure 1. to Figure 6. correspond to the following filenames: 'Figure 1.jpg', 'Figure 2.png', 'Figure 3.png', 'Figure 4.png', 'Figure 5.png', and 'Figure 6.png'. The graphics denoted as Figure Appendix 1 and Figure Appendix 2, cited within the supplementary materials of the scholarly publication, are accessible under the file name 'Figure Appendix 1.png' and 'Figure Appendix 2.png', respectively.

2. Numerical Data

a). The numerical data for Fig 3 a) can be found in the directory named 'root/dataset/Numerical Data/Fig 3 a/', which contains 1000 npz files. Each npz file is named after the Unix time when the corresponding measurement was made. These npz files can typically be opened using the numpy library in Python. Each npz file contains three ndarray objects:

· ['arr_0']: This array, with the shape (6,), represents a set of six randomly generated target phase values.
· ['arr_1']: This array, with the shape (1, 6), denotes the model predictions made by the neural network trained with the camera A dataset.
· ['arr_2']: This array, with the shape (1, 6), represents the model predictions made by the neural network trained with the camera B dataset.

b). The numerical data for Fig 5 c) can be found in the directory named "root/dataset/Numerical Data/Fig 5 c/", which contains one npy file. This file can be opened using the numpy library in Python. It contains a numerical array of shape (40, 50), where:

· The first index represents 40 different sigmas controlling the randomness of the phase fluctuation.
· The second index represents 50 timesteps for each sigma value.

The data is accessible via CC BY license