ASGARD stands for 'Automated Selection and Grouping of events in AIA Regional Data'. The code is a refinement of the event detection method in Ugarte-Urra & Warren (2014). It is intended to automatically detect and group brightenings ('events') in the AIA EUV channels, to record event parameters, and to find related events over multiple channels. Ultimately, the goal is to automatically determine heating and cooling timescales in the corona and to significantly increase statistics in this respect. The code is written in IDL and requires the SolarSoft library. It is parallelized and can run with multiple CPUs. Input files are regions of interest (ROIs) in time series of AIA images from the JSOC cutout service (http://jsoc.stanford.edu/ajax/e...
The study of the variability of the solar corona and the monitoring of its traditional regions (Coro...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
We introduce a modified version of the ASGARD code (Automated Selection and Grouping of events in A/...
These datasets were created using the Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Alg...
A comprehensive understanding of the different transient events is necessary for any eventual soluti...
Observations of small-scale brightenings in the low solar atmosphere can provide valuable constraint...
Swirling motions in the solar atmosphere have been widely observed in recent years and suggested to ...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
We study intensity variations, as measured by the Atmospheric Imaging Assembly on board the Solar Dy...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Artificial Intelligence for Cold Regions (AI-CORE) is a collaborative project of the DLR, the AWI, t...
Small-scale brightenings in solar atmospheric observations are a manifestation of heating and/or ene...
The Solar Active Region Display System is a computer program that generates, in near real time, a gr...
We report on progress made by our Data Mining Lab at Georgia State University on the interdisciplina...
The study of the variability of the solar corona and the monitoring of its traditional regions (Coro...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
We introduce a modified version of the ASGARD code (Automated Selection and Grouping of events in A/...
These datasets were created using the Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Alg...
A comprehensive understanding of the different transient events is necessary for any eventual soluti...
Observations of small-scale brightenings in the low solar atmosphere can provide valuable constraint...
Swirling motions in the solar atmosphere have been widely observed in recent years and suggested to ...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
We study intensity variations, as measured by the Atmospheric Imaging Assembly on board the Solar Dy...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Artificial Intelligence for Cold Regions (AI-CORE) is a collaborative project of the DLR, the AWI, t...
Small-scale brightenings in solar atmospheric observations are a manifestation of heating and/or ene...
The Solar Active Region Display System is a computer program that generates, in near real time, a gr...
We report on progress made by our Data Mining Lab at Georgia State University on the interdisciplina...
The study of the variability of the solar corona and the monitoring of its traditional regions (Coro...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...