Discovering Extragalactic Supermassive Black Holes with Multiwavelength Data Analysis
DOI:
https://doi.org/10.47611/jsrhs.v13i1.6349Keywords:
Multiwavelength, Machine Learning, Gaussian Mixture Model, DBSCAN, Extragalactic, Supermassive Black HoleAbstract
Differentiating extragalactic and galactic sources of light allows for the identification of supermassive black holes for further study. Using the newest X-ray dataset from eROSITA, a machine learning approach helps classify extragalactic and galactic sources. It was found that a Gaussian Mixture Model was effective at this classification, achieving a silhouette score of 0.84. This result shows that a Gaussian Mixture Model is suitable for tasks like this, working toward discovering more supermassive black holes.
Downloads
References or Bibliography
Brunner, H., et al. "The eROSITA Final Equatorial Depth Survey (eFEDS)-X-ray catalogue." Astronomy & Astrophysics 661 (2022): A1, https://doi.org/10.1051/0004-6361/202142460.
“eROSITA-DE: Early Data Release site.” eROSITA, https://erosita.mpe.mpg.de/edr/eROSITAObservations/Catalogues/. Accessed 8 November 2023.
Hubble, Edwin. "A relation between distance and radial velocity among extra-galactic nebulae." Proceedings of the national academy of sciences 15.3 (1929): 168-173, https://doi.org/10.1073/pnas.15.3.168.
Jansen, F., et al. "XMM-Newton observatory-I. The spacecraft and operations." Astronomy & Astrophysics 365.1 (2001): L1-L6, http://dx.doi.org/10.1051/0004-6361:20000036.
Padovani, Paolo. "Active galactic nuclei at all wavelengths and from all angles." Frontiers in Astronomy and Space Sciences 4 (2017): pp. 35, https://doi.org/10.3389/fspas.2017.00035.
Reynolds, Douglas A. "Gaussian mixture models." Encyclopedia of biometrics 741.659-663 (2009).
Rousseeuw, Peter J. "Silhouettes: a graphical aid to the interpretation and validation of cluster analysis." Journal of computational and applied mathematics 20 (1987): pp. 53-65, https://doi.org/10.1016/0377-0427(87)90125-7.
Williams, Robert E., et al. "The Hubble Deep Field: Observations, Data Reduction, and Galaxy Photometry." Astronomical Journal v. 112, p. 1335 112 (1996): 1335, https://doi.org/10.48550/arXiv.astro-ph/9607174.
York, D.~G., Adelman, J., Anderson, J.~E., et al. 2000, The Astronomical Journal, 120, 1579. doi:10.1086/301513.
Published
How to Cite
Issue
Section
Copyright (c) 2024 Krish Singh
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
