Modeling and fitting package for scientific data analysis
Table of Contents
- How To Install Sherpa
Sherpa is a modeling and fitting application for Python. It contains a powerful language for combining simple models into complex expressions that can be fit to the data using a variety of statistics and optimization methods. It is easily extensible to include user models, statistics, and optimization methods. It provides a high-level User Interface for interactive data-analysis work, such as within a Jupyter notebook, and it can also be used as a library component, providing fitting and modeling capabilities to an application.
What can you do with Sherpa?
- fit 1D (multiple) data including: spectra, surface brightness profiles, light curves, general ASCII arrays
- fit 2D images/surfaces in Poisson/Gaussian regime
- build complex model expressions
- import and use your own models
- use appropriate statistics for modeling Poisson or Gaussian data
- import new statistics, with priors if required by analysis
- visualize the parameter space with simulations or using 1D/2D cuts of the parameter space
- calculate confidence levels on the best fit model parameters
- choose a robust optimization method for the fit: Levenberg-Marquardt, Nelder-Mead Simplex or Monte Carlo/Differential Evolution.
A Quick Start Tutorial
is included in the
notebooks folder and can be opened with an
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation, either version 3 of the License, or (at your option) any later
version. A copy of the GNU General Public License can be found in the
LICENSE file provided with the source code, or from the
Free Software Foundation.
How To Install Sherpa
It is strongly recommended that some form of virtual environment is used with Sherpa.
Sherpa is tested against Python versions 3.7, 3.8, and 3.9.
The last version of Sherpa which supported Python 2.7 is Sherpa 4.11.1.
Sherpa is provided for both Linux and macOS operating systems running
Python 3.7, 3.8, and 3.9. It can be installed with the
package manager by saying
$ conda install -c sherpa sherpa
Sherpa is also available on PyPI and so can be installed with the following command (which requires that the NumPy package is already installed).
% pip install sherpa
Building from source
Source installation is available for platforms incompatible with the
binary builds, or for when the default build options are not sufficient
(such as including support for the
XSPEC model library).
The steps are described in the
building from source
Sherpa is developed by the Chandra X-ray Observatory to provide fitting and modelling capabilities to the CIAO analysis package. It has been released onto GitHub for users to extend (whether to other areas of Astronomy or in other domains).
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