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Current Research Overview

Investigating the Relationship Between Black Hole Mass and Galaxy Dynamics

This study focuses on the co-evolution of supermassive black holes and their host galaxies by examining the correlation between black hole mass (MBH) and stellar velocity dispersion (σ) in Seyfert Type II and LINER galaxies. These active galactic nuclei are particularly challenging to analyze due to obscuration caused by nuclear dust and the presence of a torus. Utilizing a sample of emission line galaxies from SDSS DR18, the work employs narrow-line diagnostics such as BPT and WHAN diagrams to isolate Type II AGNs and further refine their black hole mass estimates. The results reinforce the presence of a consistent M–σ relation even in obscured systems, contributing valuable insights to the understanding of galaxy-black hole co-evolution mechanisms.

Status: This research has been submitted to the Monthly Notices of the Royal Astronomical Society (MNRAS) and is currently under review.

GALAMO: Astronomy Python Package

Galamo is an open-source Python package for comprehensive galaxy analysis, integrating machine learning and statistical methods. It provides automated tools for morphology classification, kinematics, photometry, and spectral analysis to aid astrophysical research.

GitHub: galamo-org/galamo
Website: www.galamo.org

Status: Preparing a maniscript for peer-reviewed publication.

Additional Research Initiatives

• Deep Learning for Alzheimer Detection: Development of a convolutional neural network for MRI-based brain segmentation and disease classification.
• Galaxy Morphology Prediction Using SDSS Data: Application of supervised machine learning models to classify galaxy types based on shape, color, and brightness profiles.
• GALAMO (Galaxy Analysis Module): Design and implementation of a Python package aimed at automating the extraction and classification of galactic parameters from astronomical surveys.
• Stellar Dynamics of Open Star Clusters: Simulation of stellar kinematics using the fourth-order Runge-Kutta numerical integration technique.
• Long-term Spin-down Analysis of the Crab Pulsar: Multi-year observational study (2015–2023) of the rotational behavior of the Crab pulsar using archival data from IIIT Raichur and BNM Institute of Technology.

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Publications

Investigating the Relationship Between Black Hole Mass and Galaxy Dynamics

This study focuses on the co-evolution of supermassive black holes and their host galaxies by examining the correlation between black hole mass (MBH) and stellar velocity dispersion (σ) in Seyfert Type II and LINER galaxies. These active galactic nuclei are particularly challenging to analyze due to obscuration caused by nuclear dust and the presence of a torus. Utilizing a sample of emission line galaxies from SDSS DR18, the work employs narrow-line diagnostics such as BPT and WHAN diagrams to isolate Type II AGNs and further refine their black hole mass estimates. The results reinforce the presence of a consistent M–σ relation even in obscured systems, contributing valuable insights to the understanding of galaxy-black hole co-evolution mechanisms.

Authors: Jashanpreet Singh Dingra, Harjeet Kaur
Status: Submitted to the Monthly Notices of the Royal Astronomical Society (MNRAS)

International Media Publications

In 2021, my work in astrophotography was internationally recognized and published across multiple major platforms:

• The Forbes: Read Article
• The BBC: Feature Gallery
• Royal Museums Greenwich: Astronomy Photographer of the Year 2021
• South Downs National Park Newsletter: March 2021 Edition

Other Notable Contributions

• Shortlisted: Astronomy Photographer of the Year – Royal Museums Greenwich, 2021
• Runner-up: South Downs National Park Astrophotography Competition, 2021

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