Published November 11, 2024 | Version v1

AGN Spectral fitting with MCMC in Fortran: An efficient and simple analysis tool in a GUI

  • 1. EDMO icon Universidad de Concepcion, Conception University

Description

Active Galactic Nuclei (AGN) are usually studied by observing their spectra. It is possible to know the properties of the AGNs by analyzing the absorption and emission lines over their spectrum, such as the black hole mass of the supermassive black hole, Eddington ratio, gas kinematics, chemical composition, and luminosity. So, spectroscopic fitting is a fundamental tool to analyze and measure the physical properties of AGN. We have developed a spectral fitting method for efficient and low-requirement spectral fitting based on the Markov Chain Monte Carlo (MCMC) technique on a Fortran lenguaje. The code can make millions of simulations quickly and provide errors in the spectral fitting. We aim to build an open user-friendly interface using a Graphic User Interface (GUI). The GUI can create the necessary tools necessary for modeling a single or large number of spectra. It provides a useful tool for the AGN spectroscopy area, which, with a cluster of computers, can work fast over a large dataset and make broad AGN analyses.

Files

pyforagnfit.pdf

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Additional details

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico
Millenium Nucleus TITANs NCN19-058

Software

Programming language
Python , Fortran
Development Status
Active