1-DREAM
Tool Box
5-tool package for filament tracing
Really easy to install
wrapped in python for ease of use
fast, efficient, and paralelised
sensitive and stable filament finding
(a) LAAT: An ant colony pheromone algorithm is used to identify and highlight 1-dimensional structures embedded in a noisy background.
(b) MBMS: A diffusion algorithm is used to locate the spine of the 1D structures that the Ants recovered.
(c) DimIndex: The dimensionality of different structures is identified (1D vs 2D vs 3D) using Principle component analysis.
(d) Multi-manifold Crawling: Tracing out of 1-D structures with a series of continuously linked straight line vectors.
(e) SGTM: Membership of 1-D structures is identified probabilistically.
For full details of the methodology used by the five tools, click HERE
Application of the LAAT and MBMS to identify filaments about a cluster in a cosmological simulation
