We are conducting a new supernova survey at the Thacher observatory toward ~1200 galaxies closer than 40 Mpc selected from the GLADE catalog. Template and science images have been collected nightly since the summer of 2018. We present the details and strategy of the search, and also the preliminary results of our automated search. We use a machine learning algorithm trained on a hybrid dataset including images from our survey and simulated detections so that candidate transient events can be identified in an automated fashion. We report on the efficiency and accuracy of our search, which is improving as we accumulate ever more images and training data.
American Astronomical Society Meeting Abstracts #233
- Pub Date:
- January 2019