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

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

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)

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

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 supporting paper: A forward modeling approach to AGN variability – method description and early applications (2019ApJ...883..139S)

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

Automated supermassive Blackhole Explorer(ABE) studies the co-evolution of the supermassive black holes with its host galaxies, particularly looking at the effect of AGN feedback

Codes to calculate Temperature and Density from the lines ratio of certain ions in the narrow line region of a given AGN

Testing the unification model of active galactic nucleus (AGN) by convolution neural network