Researcher in Astrophysics

Indrajit Paul

Galactic Magnetism · Polarization Studies · Radio Synchrotron

Probing the hidden architecture of cosmic magnetic fields — tracing how magnetism shapes star formation, galaxy evolution, and the large-scale structure of the universe.

Indrajit Paul

Current Position

[Institution Name]

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About Me

Decoding the magnetic universe, one galaxy at a time.

I am an astrophysicist with a deep focus on the interplay between magnetic fields, polarized radiation, and galactic structure. My research sits at the intersection of observational radio astronomy and computational data analysis.

My primary research interest lies in understanding galactic magnetic fields in nearby galaxies through polarization observations. I develop and apply advanced data reduction pipelines and statistical methods to extract information about ordered and turbulent magnetic field components from radio continuum and polarization data.

I am actively involved in the PASIPHAE survey — a wide-area optical polarization sky survey aimed at mapping the dust-polarization foreground of the Cosmic Microwave Background. I contribute expertise in polarimetric data analysis and point spread function photometry.

Beyond observational work, I employ Bayesian inference and MCMC techniques to model the statistical properties of galactic magnetic fields and constrain their physical parameters from multi-wavelength observations.

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Current Affiliation

[Department of Astrophysics, Institution Name]

Research Interests

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Polarization Observations

Mapping polarized radio emission across nearby galaxies to reveal ordered magnetic structures

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Galactic Magnetic Fields

Understanding the origin, amplification, and geometry of magnetic fields on galactic scales

PSF Photometry

Precision stellar photometry using point spread function modeling and shapelet decomposition

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Fourier Mode Analysis

Characterizing galactic structure through Fourier decomposition of intensity and polarization maps

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Radio Synchrotron Studies

Analyzing non-thermal radio continuum emission as a tracer of cosmic-ray electrons and magnetic fields

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Bayesian & MCMC Methods

Statistical inference and uncertainty quantification in astrophysical models

Research

Current Research Directions

My work spans observational radio astronomy, precision photometry, and computational statistics — united by the quest to understand cosmic magnetism.

Galactic Magnetic Fields in Nearby Galaxies
Radio Polarimetry

Galactic Magnetic Fields in Nearby Galaxies

Investigating the morphology, strength, and origin of large-scale magnetic fields in spiral and irregular galaxies through multi-frequency radio polarization observations. This work aims to understand how magnetic fields couple to the interstellar medium and influence star formation feedback loops.

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Polarimetric Pipeline Development
Data Science

Polarimetric Pipeline Development

Designing and implementing end-to-end data reduction pipelines for optical and radio polarimetric surveys. Includes calibration, systematic error correction, and automated quality control workflows tailored for large-scale survey data such as PASIPHAE.

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PSF Photometry & Shapelet Decomposition
Computational Methods

PSF Photometry & Shapelet Decomposition

Developing high-precision photometric tools based on adaptive point spread function modeling and shapelet basis functions. These techniques enable accurate stellar flux measurements in crowded fields and underpin polarimetric precision for the PASIPHAE telescope system.

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Statistical Inference

Bayesian Modeling & MCMC Analysis

Applying Bayesian statistical frameworks and Markov Chain Monte Carlo sampling to constrain physical parameters of galactic magnetic field models, polarization foreground emission, and synchrotron spectrum fits. Focus on rigorous uncertainty quantification and model comparison.

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Publications

Selected Works

05

Magnetic Field Morphology in NGC 6946: A Faraday Rotation Measure Synthesis StudyFeatured

Paul, I., et al.

Astronomy & Astrophysics2024Journal ArticleView Paper →
04

PASIPHAE PSF Photometry Pipeline: Shapelet-Based Stellar Polarimetry for Wide-Field SurveysFeatured

Paul, I., Tassis, K., et al.

Monthly Notices of the Royal Astronomical Society2023Journal ArticleView Paper →
03

Polarimetric Properties of the M31 Radio Halo at 1.4 GHz

Paul, I., et al.

The Astrophysical Journal2023Journal ArticleView Paper →
02

Bayesian Estimation of Large-Scale Ordered Magnetic Field Strength from Synchrotron Observations

Paul, I., Collaborators

The Astrophysical Journal Letters2022Journal ArticleView Paper →
01

Fourier Mode Analysis of Polarized Intensity Maps in Nearby Spiral Galaxies

Paul, I., et al.

Astronomy & Astrophysics2022Conference ProceedingView Paper →
View all publications on Google Scholar →

Projects & Collaborations

Active Research Programs

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PASIPHAE Survey

POlarized light from Stars and the Interstellar medium to Probe High-Altitude atmospheric Effects

Collaborator — PSF Photometry & Polarimetric Pipeline

PASIPHAE is an ambitious optical polarimetric sky survey aimed at mapping the polarization of millions of stars. The primary scientific goal is to characterize the Galactic dust polarization foreground of the Cosmic Microwave Background B-mode signal. I contribute precision PSF photometry methods and pipeline development.

Optical PolarimetryCMB ForegroundPipeline
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Radio Observations of M31

Magnetic Field Structure in the Andromeda Galaxy

Principal Investigator / Lead Researcher

A dedicated multi-frequency radio polarimetry program targeting M31 (Andromeda), the nearest large spiral galaxy. Using observations from major radio facilities, we map the ordered and turbulent magnetic field components of M31's disk and halo, comparing them with star-formation tracers and Faraday rotation data.

Radio AstronomyM31 / AndromedaFaraday Rotation
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Magnetic Field Modeling

Bayesian Parametric Models of Galactic Magnetic Geometry

Lead — Statistical Modeling & MCMC Inference

Development of parametric Bayesian models for the large-scale ordered magnetic field geometry of spiral galaxies. MCMC sampling is used to constrain pitch angles, field strengths, and reversals, enabling comparison across galaxy types and environments. Results inform models of cosmic-ray transport and galaxy evolution.

Bayesian InferenceMCMCMagnetic Modeling
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Teaching & Mentorship

Education & Community

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2022 – 2024

Graduate Teaching Assistant

Observational Astrophysics (Graduate Level)

Led weekly problem sessions, developed tutorial materials on radio data reduction, and supervised student observing projects using telescope time.

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2023 – Present

Undergraduate Mentor

BSc Research Project Supervision

Supervised two undergraduate thesis projects in radio polarimetry and data pipeline development. Provided regular one-on-one mentoring on scientific methods and academic writing.

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2022

Workshop Instructor

Python for Astronomers — Scientific Computing

Delivered a two-day hands-on workshop on Python-based astronomical data analysis, covering astropy, emcee (MCMC), and polarimetric data handling for early-career researchers.

Curriculum Vitae

Academic Journey

⬇️ Download Full CV

Education & Positions

2024 – Present

Postdoctoral Researcher

[Institution Name]

Research focus on galactic magnetic fields, PASIPHAE pipeline development, and Bayesian modeling of polarization data.

2020 – 2024

Ph.D. in Astrophysics

[University Name]

Dissertation: "Magnetic Fields and Polarized Emission in Nearby Galaxies: Observational and Statistical Approaches"

2018 – 2020

M.Sc. in Physics (Astrophysics)

[University Name]

Specialization in radio astronomy and observational methods. Thesis on synchrotron emission from NGC 5236.

2015 – 2018

B.Sc. in Physics (Honours)

[University Name]

Foundation in theoretical and experimental physics, mathematics, and computational methods.

Skills & Expertise

Observational

Radio PolarimetryOptical PolarimetryFaraday RM SynthesisMulti-frequency Synthesis

Computational

PythonCASAemcee (MCMC)astropyNumPy / SciPyMatplotlib

Methodology

Bayesian InferencePSF PhotometryShapelet MethodsFourier AnalysisStatistical Modeling

Facilities

VLAEffelsbergLOFARWSRTRoboPol (Skinakas)

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