# Unsupervised Photometric Membership Assignment in Stellar Clusters

## Documentation for package ‘UPMASK’ version 1.2

- DESCRIPTION file.

## Help Pages

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