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

Code and data supporting paper: Observational Nonstationarity of AGN variability: The only way is down! ( 2020ApJ...889L..29C)

The JAVELIN module for pyPetal.

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

Uncertainty quantification of black hole mass estimation

A pipeline for estimating AGN time lags

Homeworks of the course "Introduction to AGNs" at the University of Belgrade in Spring 2024. Instructor: Dragana Ilic

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

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

Data supporting paper: Optical Variability of AGNs in the PTF/iPTF Survey (2017ApJ...834..111C)

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

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

Example code to run prediction pipeline from Carvajal et al. 2023

Coursework written for: Introduction to Active Galactic Nuclei, MASS course offered at the University of Belgrade

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

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

Simulate post-starburst galaxy spectral energy distributions to see if active galactic nuclei play a role in quenching post-starburst galaxies using prospector-alpha and FSPS.

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)