36th Annual Report (2023-24)

173 PublicOutreachProgramme ICARD, Aliah University organised a one-day public outreach programme on Astronomy and Astrophysics for Baruipur High School students, P.O.+P.S.-Baruipur, Dist.- South 24 Parganas, West Bengal, on 08 January 2024, fromnoon onwards. Prof. Prabir Kr. Haldar, Professor, Cooch Behar Panchanan Barma University, Cooch Behar, W.B., delivering his lecture. Prof. Mehedi Kalam, Coordinator, ICARD, Aliah University, was felicitated by the Head Master, Baruipur High School, Baruipur. The audience of the one-day public outreach programme on Astronomy and Astrophysics Baruipur High School students, Baripur, 24 Pgs(S), West Bengal on 08 January 2024 AreasofResearch In the period under review, themain focus of the research work was on the investigation of the effect of bars on the properties of spiral galaxies, Clustering of eclipsing binary light curves, Exploration of the origin of galactic and extragalactic star clusters, Completeness study on the astronomical sample, Statistical data analysis related to astronomical objects etc. Some large-scale simulation studies have been carried out. Some scholars and faculty members of Coordinator: Asis Kumar Chattopadhyay ICARD- Department of Applied Mathematics, University of Calcutta (Activities from 01 April 2023 to 31 March 2024) different colleges and universities in and around Kolkata are involved in using mathematical and statistical software and developing computer programs for the appropriate analysis of astronomical data. (Activities from 01 April 2023 to 31 March 2024) Subjective classification of spiral galaxies is not sufficient for studying the effect of bars on their physical characteristics. In reality, Researchwork the problem is to comprehend the complex correlations in a multivariate parametric space. Multivariate tools are the best ones for understanding this complex correlation. In this work, an objective classification of a large set (26,089) of spiral galaxies was compiled as a value-added galaxy catalogue from the SDSS DR 15 virtual data archive. For dimensionality reduction, Independent Component Analysis is performed to determine a set of Independent Components that are linear combinations of 48 observed features