CEDAR email: Announcing the Release of Kaipy: Your New Tool for Analyzing and Visualizing MAGE Data

[Michael Wiltberger]

Dear Colleagues,

We are excited to announce the release of Kaipy
<https://pypi.org/project/kaipy/>, a powerful new Python package designed
to assist with the analysis and visualization of data produced by the
Multiscale Atmosphere Geospace Environment (MAGE) Model, developed by the
Center for Geospace Storms (CGS), as well as by other scientific software
for simulation of heliospheric environments such as planetary
magnetospheres and the solar wind.

To help you get started with Kaipy <https://pypi.org/project/kaipy/>, we
have created an online introductory tutorial available on Google Colab.
This tutorial will guide you through the fundamental features and
functionalities of the package, making it easy for you to integrate Kaipy
into your workflow. Access the tutorial here: Kaipy Google Colab Tutorial
<https://colab.research.google.com/drive/1Y559nAryHyX5R9wgqSLvZ-87QRmazGLD?usp=sharing>
.

Furthermore, we are pleased to share that a video of the Kaipy tutorial
session from the recent GEM Workshop is now available. This comprehensive
session covers advanced usage scenarios and offers insights from experts
who developed and use the package. Watch the tutorial session here: GEM
Workshop Kaipy Tutorial Video <https://youtu.be/n6q1Gliybg8>.

Kaipy is an open-source project and is readily available for download and
collaboration via Bitbucket. You can access the repository and contribute
to its development here: Kaipy Bitbucket Repository
<https://bitbucket.org/aplkaiju/kaipy/src/master/>.

We believe that Kaipy will be an invaluable resource for researchers
working with MAGE data, especially those utilizing the ability to complete
simulations via the CCMC Run on Request system
<https://ccmc.gsfc.nasa.gov/requests/GM/user_registration.php?model=MAGE>,
providing robust tools to enhance your analysis and visualization
capabilities. We look forward to your feedback and contributions to this
open-source project.

Take care,

Michael Wiltberger

For the CGS Team

Michael Wiltberger, Ph.D
NSF NCAR/HAO
3080 Center Green
Boulder, CO 80301
Ph: (303)497-1532
Fx: (303)497-2180
email: wiltbemj at ucar.edu

There are only 10 types of people: those who understand binary and those
who don't.
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