General concept of the project
The main problem of modern research includes processing and analysis of large multiparametric data from various astronomical instruments, which can no longer be covered by traditional methods of analysis. Accordingly, more advanced techniques are being developed to work with big data, namely, store, retrieve and conduct efficient analysis. In general, this allows us to look at open astrophysical problems from a different angle, to propose new ways of finding solutions. These tasks include: classification, clustering, anomaly detection, timing analysis, regression, and visualization. It is also common for analysis of objects with multidimensional data to reveal completely new unknown problems.

Project goal
Development of Machine Learning algorithms and Data Mining methods for Big Data Analysis in Astronomy, in particular for the identification of deep space objects active in the X-ray and gamma ranges.

Project objectives
Objective 1. Identification of anomalous x-ray pulsars and soft gamma repeaters among an array of X-ray sources and determination of their accretion structures by Machine Learning methods from observational data and catalogs of high-energy orbital telescopes.
Objective 2. Identification of gamma-ray bursts with measured and synthetic redshift values as potential sources of gravitational waves using Machine Learning algorithms and Data Mining methods.

Expected results
The main results obtained during the implementation of this project will be: 1) the development of an algorithms for working with large multidimensional arrays of astronomical data for deep space objects; 2) publication of the obtained results in specialized rating journals, as well as in journals recommended by CCSES MES RK; 3) international cooperation and dissemination of results through presentations at scientific seminars, conferences, in the media, collaboration with foreign scientific centers and researchers.

Conferences and seminars
1. Sixteenth Marcel Grossmann Meeting, 5-10 July 2021 (on-line), V. Kim, oral talk “On the origin of the unique isolated X-Ray pulsar 1E 161348-5055 with 6.7 hr. spin period

2. 2nd Regional Astronomical Summer School “Observational/Data Astronomy and Space Sciences”, 13-17 September 2021, Byurakan, Armenia (ONLINE) A. Umirbayeva

3. DAWN Winter School, 07-11 February 2022, Copenhagen, Denmark (ONLINE) Y. Aimuratov

4. Seminar at IHST RAS , Moscow, Russia, May 17, 2022,”Accretion as a powerful source”, V. Kim

5. Prof. Remo Ruffini Festschrift. A conference in celebration of Prof. Remo Ruffini 80° birthday, 16-18 May 2022, Nice, France (ONLINE) Y. Aimuratov, oral talk “Redshift Estimates for Short Gamma-Ray Bursts from the Fermi-GBM Catalogue Using Ep,i-Eiso Correlation”