Welcome to comet_maths’s documentation!

comet_maths is a python module with useful mathematical algorithms for general use as well as for the other tools in the CoMet Toolkit.

There are quite a range of different functionalities within comet_maths. There are currently three submodules. One for linear algebra (mainly used for matrix operations in both obsarray and punpy ), one for random sample generators (mainly used for sample generation in punpy ) and one for interpolation (for general use).

The interpolation submodules focuses on two aspects. First, it aims to provide interpolation uncertainties which include both a contribution from the uncertainty on the input data point, as well as a contribution from the uncertainty in the model used for interpolation. Second, the interpolation module has functionality to interpolate between some low-resolution data points following a high resolution example. The example spectrum gets scaled in order to go through the low-resolution data points to form a sensible interpolation.

Quickstart Guide

New to comet_maths? Check out the quickstart guide for an introduction.

User Guide

The user guide provides a documentation and examples how to use comet_maths for interpolation, linear algebra or generating Monte Carlo samples.

ATBD

ATBD mathematical description of comet_maths (under development).

API Reference

The API Reference contains a description of each of the comet_maths classes and functions.

Acknowledgements

comet_maths has been developed by Pieter De Vis.

The development has been funded by:

• The UK’s Department for Business, Energy and Industrial Strategy’s (BEIS) National Measurement System (NMS) programme

• The IDEAS-QA4EO project funded by the European Space Agency.

Project status

comet_maths is under active development. It is beta software.