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- Goddard Space Flight CenterUS70 papers
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78 papers
Large Language Model-driven Analysis of General Coordinates Network (GCN) Circulars
Vidushi Sharma, Ronit Agarwala, Judith L. Racusin +9
The General Coordinates Network (GCN) is NASA's time-domain and multimessenger alert system. GCN distributes two data products: automated "Notices" and human-generated "Circulars"…
Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data
Nicholas LaHaye, Thilanka Munashinge, Hugo Lee +4
This work demonstrates the possibilities for improving wildfire and air quality management in the western United States by leveraging the unprecedented hourly data from NASA's TEMP…
Active region upflows in various coronal structures and their coupling to the lower atmosphere
Yingjie Zhu, Louise Harra, Krzysztof Barczynski +13
Plasma upflows with a Doppler shift exceeding -10 km/s at active region (AR) boundaries are considered potential sources of the nascent slow solar wind. We investigate the driving…
Development of the Timing System for the X-Ray Imaging and Spectroscopy Mission
Yukikatsu Terada, Megumi Shidatsu, Makoto Sawada +62
This paper describes the development, design, ground verification, and in-orbit verification, performance measurement, and calibration of the timing system for the X-Ray Imaging an…
Classifying different types of solar wind plasma with uncertainty estimations using machine learning
Tom Narock, Sanchita Pal, Aryana Arsham +2
Decades of in-situ solar wind measurements have clearly established the variation of solar wind physical parameters. These variable parameters have been used to classify the solar…
Automatic detection of large-scale flux ropes and their geoeffectiveness with a machine learning approach
Sanchita Pal, Luiz F. G. dos Santos, Andreas J. Weiss +5
Detecting large-scale flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) and assessing their geoeffectiveness are essential since they can drive severe spac…