The following are plots of K2 objects overlayed on the K2 Field of View as well as on Full field Images. Move your cursor over an object to see its light curve. The set of objects being plotted in each campaign is only a subset of all the objects observed in the campaign.
The set of objects for a campaign are plotted on top of the K2 field of view.
For a given channel, the subset of objects in the campaign that lie on the channel are plotted on top of a full frame image taken with the channel.
t-distributed stochastic neighbor embedding (t-SNE) is applied to the set of objects to reduce dimensions. Density-based spatial clustering of applications with noise (DBSCAN) is used in this dimension reduced space to find outliers.
The cross-correlation between all of the objects is calculated and the maximum values of the x-correlations are used as features in clustering the objects.