10 citations · 17 across the 4 of their papers we have counts for
6 papers
First Results of Calculation of the Dayside Magnetopause Reconnection Rate with TRACERS
D. E. da Silva, L. J. Chen, B. Burkholder +14
Quantifying the rate of reconnection remains a key challenge in the study of geomagnetic storms. In this study, we present the first results from the new Tandem Reconnection and Cu…
Neural-based Compression Scheme for Solar Image Data
Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda +6
Studying the solar system and especially the Sun relies on the data gathered daily from space missions. These missions are data-intensive and compressing this data to make them eff…
Multi-spectral Entropy Constrained Neural Compression of Solar Imagery
Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta +4
Missions studying the dynamic behaviour of the Sun are defined to capture multi-spectral images of the sun and transmit them to the ground station in a daily basis. To make transmi…
Context-Aware Neural Video Compression on Solar Dynamics Observatory
Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta +4
NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's daily activity. Data compression is crucial for space missions to reduce data storage and v…
Ensemble Forecasts of Solar Wind Connectivity to 1 Rs using ADAPT-WSA
D. E. da Silva, S. Wallace, C. N. Arge +1
The solar wind which arrives at any location in the solar system is, in principle, relatable to the outflow of solar plasma from a single source location. This source location, its…
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta +4
NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day from its geosynchronous orbit in space. SDO data includes images of the Sun captured at diffe…