Unsupervised Photometric Membership Assignment in Stellar Clusters

Documentation for package ‘UPMASK’ version 1.2

UPMASK-package	Unsupervised Photometric Membership Assignment in Stellar Clusters
analyse_randomKde2d	Perform analysis of random 2d distributions
analyse_randomKde2d_AutoCalibrated	Perform analysis of random 2d distributions (auto calibrated)
analyse_randomKde2d_smart	Perform analysis of random 2d distributions
create_randomKde2d	Compute the density based distance quantity using a 2D Kernel Density Estimation
create_smartTable	Create a look up table
getStarsAtHighestDensityRegion	Perform cut in the membership list based on the 2D space distribution
innerLoop	UPMASK inner loop
kde2dForSubset	Compute the density based distance quantity using a 2D Kernel Density Estimation
meanThreeSigRej	Perform cuts in the data
outerLoop	UPMASK outer loop
performCuts	Perform cuts in the data
takeErrorsIntoAccount	Take Errors Into Account for UPMASK analysis
UPMASK	Unsupervised Photometric Membership Assignment in Stellar Clusters
UPMASKdata	Run UPMASK in a data frame
UPMASKfile	Run UPMASK in a file