The Zwicky Transient Facility (ZTF) has classified over 10,000 supernovae out of the 100,000 it has detected since 2017.
The ZTF is named after Swiss astronomer Fritz Zwicky and is a wide-field astronomical survey that observes in optical & infrared and detects transients.
The ZTF Bright Transient Survey (BTS) is the largest spectroscopic supernovae survey conducted to classify supernovae into distance, type, rarity and brightness.
The ZTF uses robotic telescopes that image the visible sky every two nights and detect transients by subtracting images of the same portion of sky from subsequent scans.
The ZTF detects hundreds of thousands of events every night, from small asteroids to gamma-ray bursts, making it challenging for astronomers to keep up.
The machine learning tools are being developed to classify transients and send them to the Transient Name Server, to avoid duplication in the findings.
Scientific contributions made by Swiss astronomer Fritz Zwicky are crucial to supernova science and supernova classification system.
Detecting nearly 16,000 supernovae since 2012, astronomers have discovered the closest and most distant supernovae and thousands of Type 1a supernovae.
The Vera Rubin Observatory (VRO) is expected to detect millions of supernovae, and handling those detections will require a machine-learning tool similar to the BTSbot.
Combining data from both ZTF and Vera Rubin observatories will directly address the physics of why supernovae explode.