Sherpa

4.9.1

Introduction

Installation
A quick guide to modeling and fitting in Sherpa
Sherpa and CIAO

User Documentation

What data is to be fit?
Creating model instances
Evaluating a model
Available Models
What statistic is to be used?
Optimisers: How to improve the current parameter values
Fitting the data
Visualisation
Markov Chain Monte Carlo and Poisson data
Utility routines
- Reference/API

Worked Examples

Simple Interpolation
Simple user model

An interactive application

Using Sessions to manage models and data

Getting Help

Bug Reports
Contributing to Sherpa development
Indices and tables

Sherpa

Docs »
Utility routines »
The sherpa.utils module »
numpy_convolve
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numpy_convolve¶

sherpa.utils.numpy_convolve(a, b)[source]¶

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