A Bayesian inference-based spectral fitting tool for multi-dimensional (time and energy) and multi-wavelength (X-ray and gamma-ray) astrophysical data.
- Spectrum class: Setting up each set of spectra and detector response as well as the statistics.
- Model class: Setting up models for fitting spectra.
- Fit class: Sampling for model parameters based on Bayesian theory.
- Analyse class: Analyzing the posterior samples to determine the best-fit parameters and goodness.
- Plot class: Plotting the observed and model-predicted spectra.
- Calculate class: Calculating flux based on posterior samples.
- Bayesian inference-based: implemented by MCMC (e.g., emcee) or nested sampling (e.g., multinest)
- Multi-dimensional: enabling the fit of time-evolving spectra with time-involved physical models
- Multi-wavelength: supporting for the joint fitting to multi-wavelength astronomical spectra
- Others: simultaneous fitting of multi-spectra and multi-models, freely combining available models and add new model
- Empirical models: pl, cpl, band, sbpl, cband, csbpl, dband, dsbpl...
- Physical models: bb, hle...
- Absorption models: phabs, tbabs...