Mini-workshop on DKIST data retrieval and analysis

Within the SDO 2025 Science Workshop - “A Gathering of the Helio-Hive”, on Feb. 21, 2025, between 1:00 - 2:30 pm, we’ll hold a mini-workshop on DKIST data retrieval and analysis, including demonstrations on available iPython notebooks to work with coronal Cryo-NIRSP spectral data, and VBI photospheric imaging data.

In this page you’ll find all the necessary resources, including links to data and software that will be used during the session.

Preamble:

The Daniel K. Inoyue Solar Telescope (DKIST) is the NSF’s flagship solar telescope, with its 4-m diameter and multi-instrument, multi-wavelength capabilities. While still in its Commissioning Phase, DKIST has been performing science observations for 3 seasons, and a large volume of data is now publicly available via the DKIST Data Center Archive.

The goal of this mini-workshop is to provide an overview of the data acquired, how to browse and retrieve it, and offer some hands-on examples for first analysis, in particular using Fe XIII coronal data acquired with Cryo-NIRSP around the time of the 2024 total solar eclipse. The workshop is meant to be interactive; tutorials will be provided as Python Jupyter notebooks, and some familiarity with the language and Sunpy tools will be useful.

Agenda:

1. Introduction to DKIST and data: instruments, spectral ranges, FOVs, cadence etc. Data Policies. Slides: https://drive.google.com/file/d/1luzp1-wDFFRfDpMAe2-SXUoqId4BBx89/view?usp=sharing

2. Browsing and retrieving DKIST data: Web Interface, Globus and Python Tools. Useful resources:

   1. DKIST Data Center Archive: Home Page - Daniel K. Inouye Solar Telescope (DKIST) Data Center Archive

   2. Downloading data with Globus: Globus Connect Personal. If you don’t have Globus installed yet, you can start from here or here.

   3. DKIST Python Tools:https://docs.dkist.nso.edu/projects/python-tools/en/stable/. Have the tools installed and running if you plan to follow along with the notebook.

   4. A demonstration of the Portal and DKIST Python Tools: UserTools Jupyter notebook. Accompanying slides.

3. First look at Cryo-NIRSP coronal data. Overview of Cryo-NIRSP calibration steps. Slides: https://drive.google.com/file/d/1QoRtRiH519iw8KoGxFJ-b7T1I8aKDt04/view?usp=sharing

4. First look at Cryo-NIRSP coronal data - tutorial. Useful resources:

   • Bitbucket repository for Cryo-NIRSP analysis: https://bitbucket.org/dkist-community-code/cryonirsp-notebooks/src/main/first_release_specFitting/. This includes the notebook we’ll show at the workshop. Have the tools installed and running if you plan to follow along with the notebook.

     • During the mini-workshop we will have limited time. An extended video of an earlier tutorial can be watched here: https://drive.google.com/file/d/1CZStJvJ3pGpooQ61L6fTVYz2jprSuboO/view?usp=sharing (tutorial starts at 59:32 mark)

Data:

The notebooks that will be run during the session use the following DKIST datasets. Please download them on your personal computer ahead of the workshop; the bandwidth in the conference hotel might not be sufficient for multiple, simultaneous downloads.

• Python tools demo: VBI dataset AJQWW (continuum @ 450 nm; mosaic of 9 tiles; 400 MB)

• Cryo-NIRSP data: BZJOM data set (Fe XIII 1074.7 nm, polarimetric observations; 51 slit positions; 10 repetitions at each slit position; 2.8 GB)

• If you don’t want to use Globus (yet), here is a direct link to the data: BZJOM coronal dataset; and AJQWW photospheric imaging dataset.

Miscellanea:

Some other links / resources that could be useful:

• Link to Data Center on NSO Webpages: https://nso.edu/dkist/data-center/

• Manual for data searches within the DKIST archive: DKIST Data Center Archive Search Manual

• Other DKIST code repositories: https://bitbucket.org/dkist-community-code/workspace/repositories

• A first look at VBI data: Jupyter notebook