CEDAR email: Invitation: Hands-On training session on Data Analysis Techniques with TREx Array at GEM 2024

Bea Gallardo-Lacourt (GSFC-675.0)[CATHOLIC UNIV OF AMERICA] bea.gallardolacourt at nasa.gov
Tue May 21 15:49:01 MDT 2024


Dear colleagues,


We are delighted to announce an exciting collaboration between the MESO Nightside Transition Region (NTR) GEM Focus Group (FG)<https://gem.epss.ucla.edu/mediawiki/index.php/FG:_Mesoscale_drivers_of_the_nightside_transition_region_ionospheric_and_magnetotail_evaluations> and the University of Calgary for GEM Summer Workshop 2024. Together, we are hosting a hands-on training session on data provider-supported tooling and techniques.


The training session aims to familiarize participants with the auroral imaging data obtained from the recently deployed Transition Region Explorer (TREx) array by the University of Calgary. As you begin to push the bounds of interpretation or analysis of instrument data, it is always advisable to connect with data providers who often have decades of experience developing the instruments you are utilizing. We aim to connect you with the experts so you can best leverage the power of ground-based data.


During the training session, attendees will have the opportunity to gain practical experience in data manipulation, visualization, and analysis. We will cover essential aspects such as data structure, loading procedures, and plotting techniques. The session is tailored for individuals working in IDL and Python programming languages. Before the training session, we will distribute crib sheets to participants to help them familiarize themselves with some basic concepts in advance. Additionally, we will establish a communication channel for participants to interact with each other and promote peer mentorship before, during, and after the training session.


If you are attending GEM, we kindly encourage interested participants to register to ensure an enriching learning experience with personalized guidance from data experts. While walk-in attendees are welcome, please note that direct support from a data expert may not be guaranteed without prior registration.


Register to the training session: http://tinyurl.com/GEMNTR


Please don't hesitate to reach out to the FG chairs if you have any questions or comments.


Best regards,


Bea Gallardo-Lacourt, NASA/CUA

Emma Spanswick, University of Calgary

Gareth Perry, NJIT


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