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The Influence of Black Hole and Dark Matter Distribution on the Dynamic Evolution and Formation of Galaxies

Implementing Organization

Principal Investigator
Dr. Heisnam Shanjit Singh
Rajiv Gandhi University, Arunachal Pradesh
heisnam.singh@rgu.ac.in
CO-Principal Investigator
Nil

Project Overview

Black holes, especially supermassive ones at the centres of galaxies, and the distribution of dark matter play pivotal roles in shaping the dynamic processes of galaxies over cosmic time. Understanding the interplay between these two enigmatic entities—black holes and dark matter—and their influences on galactic dynamics can shed light on the mechanisms driving the structural formation and the ultimate fate of galaxies. Scientific Objectives: To investigate the role of black hole mass and energy output through accretion on star formation rates, galactic outflows, and overall galactic structure; to examine the distribution and density profiles of dark matter halos and their effects on the stability, morphology, and growth of galaxies; To explore how the interplay between dark matter and black holes affects galactic mergers; To test predictions of galaxy formation models, such as Lambda Cold Dark Matter (ΛCDM) cosmology, against observations and simulations. Hypothesis to be Tested: "The dynamic evolution and formation of galaxies are significantly driven by the interplay between black hole feedback mechanisms and the spatial distribution of dark matter, which together regulate star formation, galactic mergers, and structural morphology." Model: Simulations and analytic models will be based on hydrodynamical codes that incorporate: Black hole accretion and feedback physics; dark matter halo formation and its interaction with baryonic matter; Galactic-scale dynamics, including mergers and star formation. Main Methods: To use advanced cosmological simulations to study the relationship between black holes and dark matter in galaxy formation and evolution if and if researched with available data. Observational Data Analysis: Utilization of freely available data from various data from telescopes to validate simulation predictions; focus on parameters such as galactic outflows and mass distributions. Theoretical Modelling: Development of semi-analytic models to predict observable properties of galaxies based on varying dark matter and black hole parameters. Comparative Studies: To analyse the role of environmental factors in the dynamic evolution influenced by black holes and dark matter. Estimate of Significance: If the research objectives are achieved, the study will have profound implications for both fundamental astrophysics and practical applications: Fundamental Understanding: Offering a deeper insight into the physical processes regulating galaxy evolution and structure;Improving understandings of the feedback mechanisms governing star formation and quenching in various galaxies. Applications: Enhancement of predictive capabilities of cosmological simulations used in interpreting observational data; Providing insights into dark matter properties and its distribution; This research will bridge gaps between theoretical predictions and observational evidence, offering a holistic understanding of how galaxies form and evolve in the universe.
Funding Organization
Quick Information
Area of Research
Physical Sciences
Focus Area
Plasma, High Energy, Nuclear Physics & Astrophysics And Nonlinear Dynamics
Start Date
24 Mar 2025
End Date
23 Mar 2028
Status
ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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