DKIST Splinter Session at the 246th AAS meeting

Within the 246th Meeting of the American Astronomical Society in Anchorage, AK, the National Solar Observatory will hold a Splinter Session on:

The Splinter is scheduled for Wednesday June 11, 12:30 PM - 2:00 PM at the Hilton Downtown in the Chart Room (note the location!). On 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. During 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 Splinter Session is to provide an overview of the data acquired and how to browse and retrieve it. Some tutorials for first analysis of the data are provided in this page as Python Jupyter notebooks, and will be described during the Session, but we don’t expect the audience to run them in real time. The tutorials can be used by interested colleagues as “stepping stones” for a more in-depth look at, and use of, DKIST data.

Agenda

1. Introduction to DKIST and data. https://drive.google.com/file/d/1rh9zasYqa4-7j2d6UUW2cd9nI3jcs1u0/view?usp=sharing

2. Browsing and retrieving DKIST data

   1. DKIST Data Center Archive: https://dkist.data.nso.edu/

3. Some interesting datasets: DKIST Featured Observations

4. First look at DKIST data. Example tutorials:

   1. DKIST Python Tools, VBI mosaic; VBI time series, destretching. https://github.com/gcauzzi/SPD2025

   2. ViSP example. https://github.com/tarrla/DKIST_data_analysis_examples

   3. Cryo-NIRSP coronal data: https://bitbucket.org/dkist-community-code/cryonirsp-notebooks/src/main/first_release_specFitting/. An extended video of the tutorial can be watched here: GMT20241017-190453_Recording_3456x2160.mp4 (starts at 59:32 mark)

Useful Resources:

1. Downloading data with Globus: https://www.globus.org/globus-connect-personal. If you don’t have Globus installed yet, you can start from here or here.

2. DKIST Python Tools:https://docs.dkist.nso.edu/projects/python-tools/en/stable/

3. Community code repository: https://bitbucket.org/dkist-community-code/workspace/repositories/