An Alignment and Visual Optimisation Code for Analysing DKIST Observations (AVOCADO) provides a user-friendly interface for co-aligning and visualising data from the various DKIST instruments. The package consists of 3 main tools. 1) Pre-AVOCADO: This package will provide the user with an interface to pick and choose which DKIST/Space-based data to co-align based on the date and time of choice. Lossy co aligned data will be created for the visualisation tool. 2) AVOCADO: This package is the main visualisation interface, utilising the co-aligned data to allow for a user-friendly method of understanding the data in real time and to provide a platform for users to see how the different instruments have captured the field-of-view over the time-series. 3) UAC: Analysis can be set-up through AVOCADO, and the Graphical Utility for Analytical Computations computes the analysis chosen by the user on the lossless data.

• Tool name: AVOCADO
• Developers: Aaron Reid (QUB), Mihalis Mathioudakis (QUB), Kevin Reardon (NSO/DKIST)
• Main contact: Aaron Reid (QUB), aaron.reid@qub.ac.uk
• Basic description: An Alignment and Visual Optimisation Code for Analysing DKIST Observations
• Language: Python 3.3
• Resource needed to use: A desktop computer/laptop. The code scales the compression with the memory size
• Host location: beta will be on Github when ready to allow for git pull updates to the software and bug reporting
• Current status: Interface in development for AVOCADO and Pre-AVOCADO.
• 6-month plan to availability: Final version will not be available. A working Beta package should be available in April 2018
• Status of documentation: No current documentation. A full user guide will accompany the package on Github for the end user.
• Test status:
• How to reference tool in publication: A relevant publication will be available in due course for users to cite.