generate_features: generate_features function

In m-a-r-i-o/aRtistic: Finding Intermediate Mass Black Holes In Star Clusters With Machine Learning

Description

This function generates features from a given snapshot file

Usage

generate_features(path = "./", seed = 37, diagno.on = FALSE,
  cluster.plot = FALSE, incomplete.gray = "#00334D34",
  complete.black = "#12031A", FOV.red = "#A05100", feature.plot = FALSE,
  profbins = 4, xi_FOV = 0, alpha_FOV = 0.5, beta_FOV = 0.5,
  miscentering = 0, min_visible_type = -1, max_visible_type = 5)

Arguments

path	where to look for the MOCCA extended snapshot
seed	(currently unused) rng seed
diagno.on	TRUE to run additional diagnostics
cluster.plot	TRUE to plot the cluster, completeness, FOV, etc
incomplete.gray	color for plotting stars discarded due to completeness
complete.black	color for plotting stars not discarded
FOV.red	color to plot the FOV boudaries
feature.plot	TRUE to plot the features
profbins	number of bins of the surface brightness profile
xi_FOV	FOV position along the x axis in units of rh
alpha_FOV	FOV size along the x axis in units of rh
beta_FOV	FOV size along the y axis in units of rh
miscentering	amount of miscentering in units of rh
min_visible_type	minimum star type that is considered visible, leave it set to -1 unless you know what you are doing
max_visible_type	maximum star type that is considered visible, 3 supposedly includes only MS stars, 5 (or was it 6?) includes Abbas Askar's favourite stars, 10 was my initial choice

Examples

generate_features(...)

m-a-r-i-o/aRtistic documentation built on May 7, 2019, 9:37 a.m.