Anish Kalsi

Anish Kalsi

(he/him)

Astronomy PhD Student

Nicolaus Copernicus Astronomical Center, Toruń Poland

Professional Summary

I am an Astrophysics PhD Candidate at the Nicolaus Copernicus Astronomical Center (NCAC PAS) in Poland, currently bridging the gap between theoretical models and observational data. With a background in Engineering Physics from Delhi Technological University and an MS in Astrophysics & Cosmology from the University of Padova,
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Education

PhD Astronomy

2025-12-08
2029-12-01

Nicolaus Copernicus Astronomical Center, Poland

MS Astrophysics and Cosmology

2023-10-01
2025-09-01

Università degli Studi di Padova

B.Tech Engineering Physics

2019-07-01
2023-06-01

Delhi Technological University (Formerly DCE)

Interests

Detached Eclipsing Binaries Stellar Evolution Observational Stellar Astrophysics X-ray Binaries Machine Learning in Astronomy
My Research

My current research at NCAC PAS focuses on detached eclipsing binary stars studying stellar evolution through precise determination of fundamental stellar parameters (masses, radii, temperatures, luminosities). Eclipsing binaries are among the most powerful tools in astrophysics for testing stellar evolution models, and I work on characterising them with high-precision photometric and spectroscopic observations.

For my Master’s thesis, I carried out a spectro-photometric study of B/Be stars in the open cluster Trumpler 11 using data from the Gemini Observatory, supervised by Prof. Lydia Cidale (UNLP) and Dr. Antonino Milone (UniPd).

I am also broadly interested in X-ray binaries. I contributed to a comprehensive catalogue of Low-Mass X-ray Binaries (LMXBs) in the Galaxy, combining INTEGRAL and Gaia data. I have also applied unsupervised machine learning methods to stellar cluster membership determination (Gaia DR3) and to classifying GRB plateau properties.

Please feel free to reach out if you’d like to collaborate!

Recent Publications
F. fortin, Anish Kalsi, F. garcia, A. simaz bunzel, S. chaty (2024). A Catalogue of Low-Mass X-ray Binaries in the Galaxy: From the INTEGRAL to the Gaia era. A&A, 684.
A&A
S. bhardwaj, M.g. dainotti, T.s.s. venkatesh, A. narendra, Anish Kalsi, E. rinaldi, A. pollo (2023). GRB Optical and X-ray Plateau Properties Classifier Using Unsupervised Machine Learning. MNRAS, 525(4), 5204–5223.
MNRAS
Anish Kalsi, D. tyagi, H. choudhary, A. kumar (2023). Comparative Study of Unsupervised Machine Learning Methods for Membership Association in Clusters Using GAIA DR3 Data. ICCASA 2023.
Proceedings PDF
Anish Kalsi, S. chandra (2020). Analytical Studies of Electrostatic Solitary Structures in an Ultra-Relativistic Plasma and the Evolution of Rogue Wave. SWPP 2020.
SSRN