eigentools 2.2105rc1

A toolkit for solving eigenvalue problems with Dedalus

Eigentools

Eigentools is a set of tools for studying linear eigenvalue problems. The underlying eigenproblems are solved using Dedalus, which provides a domain-specific language for partial differential equations. Eigentools extends Dedalus's EigenvalueProblem object and provides

• automatic rejection of unresolved eigenvalues
• simple plotting of specified eigenmodes
• simple plotting of spectra
• computation of pseudospectra for any Differential-Algebraic Equations with user-specifiable norms
• tools to find critical parameters for linear stability analysis
• ability to project eigenmode onto 2- or 3-D domain for visualization
• ability to output projected eigenmodes as Dedalus-formatted HDF5 file to be used as initial conditions for Initial Value Problems
• simple plotting of drift ratios (both ordinal and nearest) to evaluate tolerance for eigenvalue rejection

Installation

Eigentools can be pip installed, though it requires Dedalus, which has non-pip installable dependencies. See the installation instructions for details.

Documentation

Documentation (including detailed API documentation) can be found at Read the Docs.

Developers

The core development team consists of

• Jeff Oishi ([e-mail])
• Keaton Burns ([e-mail])
• Susan Clark ([e-mail])
• Evan Anders ([e-mail])
• Ben Brown ([e-mail])
• Geoff Vasil ([e-mail])
• Daniel Lecoanet ([e-mail])

Support

Eigentools was developed with support from the Research Corporation under award Scialog Collaborative Award (TDA) ID# 24231.