We introduce a modified version of the ASGARD code (Automated Selection and Grouping of events in A/A Regional Data). Originally written to detect and group brightenings ("events") in the AIA EUV channels, it now includes the sparsity DEM inversion method and instead detects emission measure enhancements in different temperature bins. Ultimately, the goal is to automatically determine heating and cooling rates in different coronal structures
A comprehensive understanding of the different transient events is necessary for any eventual soluti...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...
ASGARD stands for 'Automated Selection and Grouping of events in AIA Regional Data'. The code is a r...
The increasing size of solar datasets demands highly efficient and robust analysis methods. This pap...
Extreme ultraviolet (EUV) images of the optically-thin solar corona in multiple spectral channels gi...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
Context. Nanoscale events in cooperation with steady heating from a slow heating mechanism, such as ...
The Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO) has been providi...
These datasets were created using the Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Alg...
This viewgraph presentation determines the Differential Emission Measure (DEM) from the EUV Imaging ...
The Atmospheric Imaging Assembly (AIA) telescope on board the Solar Dynamics Observatory provides co...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Spatially-resolved observations from the IRIS, SDO/AIA, and other space mission and ground-based tel...
A comprehensive understanding of the different transient events is necessary for any eventual soluti...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...
ASGARD stands for 'Automated Selection and Grouping of events in AIA Regional Data'. The code is a r...
The increasing size of solar datasets demands highly efficient and robust analysis methods. This pap...
Extreme ultraviolet (EUV) images of the optically-thin solar corona in multiple spectral channels gi...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
Context. Nanoscale events in cooperation with steady heating from a slow heating mechanism, such as ...
The Atmospheric Imaging Assembly (AIA) on board the Solar Dynamic Observatory (SDO) has been providi...
These datasets were created using the Automated Spatiotemporal Thermal Anomaly Detection (ASTAD) Alg...
This viewgraph presentation determines the Differential Emission Measure (DEM) from the EUV Imaging ...
The Atmospheric Imaging Assembly (AIA) telescope on board the Solar Dynamics Observatory provides co...
The interpretation of remote sensing data in the context of the underlying coronal heating mechanism...
Spatially-resolved observations from the IRIS, SDO/AIA, and other space mission and ground-based tel...
A comprehensive understanding of the different transient events is necessary for any eventual soluti...
Understanding how loops in active regions are heated is a critical step in solving the coronal heati...
The Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) returns high-res...