Black holes and gravitational waves are discovered (also) with Python!
summary
Python drives the analysis pipeline: raw strain access, matched-filter searches, Bayesian parameter estimation and population inference via Bilby/dingo nested samplers and many pip-installable tools. Detectors measure strains of order 10^-21 with 4 km arms (LIGO) requiring proton-scale precision; first direct detection arrives in 2015 and a multimessenger neutron-star event in 2017. Nearly 100 published events feed population studies, and space missions (LISA launch target ~2034) extend frequencies beyond ground-based reach.
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chapters (16)
- 0:00Introduction to Python in astrophysics
- 2:32Astronomy and gravitational waves
- 12:23Black holes and their predictions
- 14:29Gravitational waves from black hole mergers
- 19:47Detecting gravitational waves with LIGO
- 21:57First gravitational wave detection in 2015
- 23:59Sky localization and multi-messenger astronomy
- 26:30Gravitational wave data analysis pipeline
- 29:18Open source and Python in research
- 32:07Gravitational waves as a new window on the universe
- 34:54Future missions: LISA and pulsar timing arrays
- 36:38Team and research group overview
- 37:47Q&A: Predicting gravitational wave shapes
- 39:12Q&A: Time delay between gravitational waves and light
- 40:38Q&A: Python stack for multi-messenger astronomy
- 41:42Q&A: Interstellar and gravitational wave simulations
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