Kavli Affiliate: David A. Principe
| First 5 Authors: Aneta Siemiginowska, Douglas Burke, Hans Moritz Günther, Nicholas P. Lee, Warren McLaughlin
| Summary:
We present an overview of Sherpa, an open source Python project, and discuss
its development history, broad design concepts and capabilities. Sherpa
contains powerful tools for combining parametric models into complex
expressions that can be fit to data using a variety of statistics and
optimization methods. It is easily extensible to include user-defined models,
statistics, and optimization methods. It provides a high-level User Interface
for interactive data-analysis, such as within a Jupyter notebook, and it can
also be used as a library component, providing fitting and modeling
capabilities to an application. We include a few examples of Sherpa
applications to multiwavelength astronomical data. The code is available
GitHub: https://github.com/sherpa/sherpa
| Search Query: ArXiv Query: search_query=au:”David A. Principe”&id_list=&start=0&max_results=3