2. Basic Concepts¶

The modelling strategy of GBKFIT can be described using a series of concepts which are explained in the next sections.

2.1. Data models¶

Image
Spectral cube
Moment maps
Long-slit spectra

2.2. Galaxy models¶

2D Intensity
3D Intensity
2D Kinematics
3D Kinematics

2.2.1. Components¶

The smooth disk
The Monte Carlo disk

2.2.2. Traits¶

2.3. Fitters¶

2.3.1. Least-Squares¶

2.3.2. Swarm Intelligence¶

2.3.3. Markov Chain Monte Carlo¶

2.3.4. Nested Sampling¶

2.4. Drivers¶

2.4.1. Host¶

2.4.2. CUDA¶