Overview

GBKFIT is a high-performance and extremely flexible software for modelling galaxy surface brightness and kinematics. Its goal is to provide a solution for a wide range of galaxy modelling studies.

Attention

This documentation covers the latest version of GBKFIT. If you are interested in the old and deprecated version of the software, visit gbkfit-legacy.

Warning

GBKFIT is currently in Alpha development phase and is expected to contain incomplete features and bugs.

Features

GBKFIT combines most of the features and techniques available in other modelling codes, while also offering insane computational performance. The most important features of the software are listed below.

• Fits models to images, spectral cubes, moment maps, and long-slit data.
• Performs great with low-resolution observations by utilising supersampling and supporting a wide variety of point and line spread functions.
• Supports superpositions of various galaxy model geometries, including thin-disk, thick-disk, and tilted-ring models.
• Supports a plethora of superimposed surface brightness, velocity, velocity dispersion, and optical depth functions.
• Utilises the most popular optimisation and sampling techniques, including Least-Squares minimisation, Swarm Intelligence, Markov Chain Monte Carlo, and Nested Sampling.
• Takes advantage of multi-core CPUs and CUDA GPU accelerators on workstation, distributed, and cloud computing environments.