Treasure hunting from the unidentified hard gamma-ray sources with machine learning techniques

We report the results of searching pulsar-like candidates from the unidentified objects in the 3rd Catalog of Hard Fermi-LAT sources (3FHL). Using a machine-learning based classification scheme with a nominal accuracy of ~98%, we have selected 27 pulsar-like objects from 200 unidentified 3FHL sources for an identification campaign, in which we have identified a new globular cluster has significant emission at energies > 10 GeV and a new gamma-ray binary which apparently associated with an extended X-ray feature.