The Palomar Transient Factory
summary
The Palomar Transient Factory builds a real-time pipeline that moves 250 MB/min (≈100 GB/night) from a 92 MP camera through image subtraction to a database, producing ~1.5 million candidates per night of which ~50,000 are asteroids and only 3–4 are new young supernovae; a random-forest classifier assigns a real bogus score to candidates and reduced the human load, Galaxy Zoo Supernova crowdsourcing filled gaps until automation improved, end-to-end processing drops below ten minutes and enables spectra within hours and 2,700+ spectroscopically confirmed supernovae.
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chapters (22)
- 0:00Introduction
- 0:28Supernova
- 5:40Victor Blanco
- 10:41Palomar Transient Factory
- 12:42Telescope
- 13:38Resources
- 14:09Pipeline
- 14:54Networking
- 15:55Database
- 17:18Hand Scanning
- 20:04Galaxy Zoo Supernova
- 23:18Pipeline Automation
- 27:57Machine Learning
- 28:45Data
- 30:25Flash Spectroscopy
- 33:03Hydrogen Gas
- 34:31gravitational waves
- 38:11future problems
- 39:23new subtractions
- 39:58final slide
- 50:47prospecting for strange
- 52:19publishing
