Modelling jetted Active Galactic Nuclei radiative processes with python

JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets

Galaxy Line Emission & Absorption Modeling

A Python Toolkit for AGN Time Series Analysis using CARMA models

Efficient AGN light curve modeling and parameter estimation using celerite

Python module for estimation of cross-correlation function of astronomical time-series based on the ZDCF method.

Python module to compute the SED of an AGN following Kubota & Done (2018).

A pipeline for estimating AGN time lags

Amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion disks

Python code for modelling spectral timing properties in AGN. Performs calculations of fully time-dependent SEDs following an input variable X-ray light-curve (See Hagen & Done (2023a)

Nirdust is a python package that uses K-band (2.2 micrometers) spectra to measure the temperature of the dust heated by a type 2 Active Galactic Nuclei (AGN) accretion disk.

A package following Stone & Shen (2023) for AGN accretion disk temperature fluctuation maps

Research Project Under Prof. Gulab Chand Dewangan (Senior Professor, IUCAA, Pune) during Visiting Student @ IUCAA 2025

Uncertainty quantification of black hole mass estimation

Code for "Predicting High Magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks"

Code for "Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties"

Code for "Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Differential Equation"

This project traces merger-triggered AGN in DM only simulations. Thereafter, analysing its impact on clustering and scaling relations of galaxy clusters.

Comparative study of AGN host galaxies in SDSS DR7 and IllustrisTNG, focused on green valley demographics and sSFR offsets.

22 GHz Radio Data. Files should contain 1", 3", and 6" fits files.