Abstract
The Flux Rope Detection and Organization (FRoDO) code has a few goals in mind: Automated and consistent detection of magnetic flux rope structures Operation independent of dataset, such that the end user only needs to provide datacubes of magnetic field components and associated grids Tracking of detected flux ropes in time, outputting locations and associated statistics By importing the FRoDO library of routines, there are several subroutines for use: FRoDO.prep() - Computes magnetic vector potential values in the deVore gauge from input magnetic field data. FRoDO.FRoDO() - Detects and organizes time histories for magnetic flux ropes. FRoDO.erupt() - Detects and flags erupting flux rope signatures. FRoDO.plot() - Creates a standard set of plot outputs for detected flux ropes. FRoDO.stats() - Computes a series of statistics for erupting and non-erupting magnetic flux ropes. FRoDO_plot.plot2d() - Creates animations of flux rope fieldlines in two dimensions FRoDO_plot.plot3d() - Creates animations of flux rope fieldlines in three dimensions A sample dataset is available on request for testing in this stage, with assistance for adapting for use in user data sets.
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