Populating the Zone of Avoidance with statistically generated galaxies according to a fractal distribution of galaxies
Abstract
The Zone of Avoidance in our galaxy is a local effect which has posed a challenge for scientists for decades now and in this article, we attempt to populate the ZoA with computer-generated galaxies using statistical analysis such as Monte Carlo algorithms, or statistical correlations such as N-point correlation functions. However, while there are methods to generate galaxies, it is difficult to decide how many galaxies should be generated. In this regard, we used a fractal approach and computed this number following a fractal distribution of galaxies in the Universe. Starting from a data set of about 6000 supermassive black holes, related to various galaxies in our neighbourhood, having information on their position (galactic longitude and latitude), redshift, black hole mass, distance and morphology, we populate the ZoA in this data set with new data according to the method described above.
- Publication:
-
7th International Conference in Astronomy
- Pub Date:
- July 2023
- Bibcode:
- 2023aasp.confE..13T