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[ascl:2001.004] FragMent: Fragmentation techniques for studying filaments

FragMent studies fragmentation in filaments by collating a number of different techniques, including nearest neighbour separations, minimum spanning tree, two-point correlation function, and Fourier power spectrum. It also performs model selection using a frequentist and Bayesian approach to find the best descriptor of a filament's fragmentation. While the code was designed to investigate filament fragmentation, the functions are general and may be used for any set of 2D points to study more general cases of fragmentation.

Code site:
https://github.com/SeamusClarke/FragMent
Described in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.484.4024C
Bibcode:
2020ascl.soft01004C

Views: 480

ascl:2001.004
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