Implementation of the Classical Method for Identifying Stellar Configurations Using Brightness Data

The paper presents an open-source implementation and testing results of a classical geometric algorithm for identifying stellar configurations, developed at the Sternberg Astronomical Institute of Lomonosov Moscow State University and using information about the brightness of navigation stars. Based on the Gaia DR2 catalog, a star catalog and a catalog of paired angular distances were constructed. The algorithm’s operation was simulated, and the optimal value of the distance tolerance parameter ensuring a 100% probability of successful identification was found. The source code for the catalogs, data generator, and algorithm is published in the public domain and is intended for use in the development and comparison of new astroorientation methods, including neural network-based ones.