For the Visible Tunable Filter (VTF), we can use two post-facto image restoration techniques; the multi-object multi-frame blind de–convolution image restoration method or the phase division speckle interferometry technique. NSO has decided to implement the speckle technique in-house and provide reduced data to the user. This removed the absolute need for the instrumental cookbook from the UK effort. However, as blind de–convolution requires much less number of images (a factor of ~6 improvement in the cadence), the UK expertise will still be in demand for users interested in fast solar dynamics.

The Armagh contribution to the UK DKIST project was to provide a How-To data reduction guide to producing final VTF images, i.e. details on both of the above methods referring to existing guides and data pipe-lines. This work is on-going. It should be noted that both methods require access to a cluster of computers. We are currently exploring the idea of writing a CUDA-version of the blind de–convolution code to enable it to run on a PC.

Also, in collaboration with Eamon Scullion, the possibility is explored to integrate CRISPEX software capabilities, a powerful and popular tool for basic manipulations of ground-based solar data-sets, with DKIST output.

• Tool name: How-To data reduction guide of ground-based data
• Developers: Gerry Doyle (Armagh)
• Main contact: Gerry Doyle (Armagh), jgd@star.arm.ac.uk
• Basic description: a How To data reduction guide to producing final VTF images
• Host location:
• Current status:
• 6-month plan to availability:
• Status of documentation:
• How to reference tool in publication: