Useful resources
GWIC-3G third-generation GW detectors
Future gravitational-wave detectors aim to probe early universe
Amaro-Seoane and Schutz’s GW Notes
Favata’s Gravitational Wave Resources
LIGO-Virgo Compact Binary Catalogue
Gravitational Wave Open Science Center
1-OGC: Open GW catalog of binary mergers from analysis of public Advanced LIGO data
Investigating the noise residuals around the gravitational wave event GW150914
LSC Open Data Workshop #1 Exercises
Orphanidis’ free Signal Processing book
Andrew Lundgren’s talk on Data Quality for GW Detectors
Alexander Nitz’s talk on the Search for GWs
Salvatore Vitale’s talk on Methods for GW Sources
Maria Alessandra Papa’s talk on GW Data Analysis
New Studies Rescue Gravitational-Wave Signal From the Noise
Eric Gourgoulhon’s lectures on black holes
Robert McNees’ Conventions, Definitions, Identities, and Formulas
CoRe GW catalogue and other tools
CORE Computational Relativity waveforms database
Einstein Toolkit + Steve Brandt’s ET Jupyter tutorial + Theodoros Soultanis’ ET Jupyter tutorial
Black Hole Perturbation Toolkit
PyCBC + Examples + Azure tutorials + Colab example
Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy + Paper
SageMath + book + Presentation + Interactions
SageManifolds + tutorial + Presentation
Black Hole Rendering with SageMath
COFFEE Python Hyperbolic PDEs code + Paper1 + Paper2
HybridTools (hybridization of BNS waveforms)
Stellar Collapse EOS collection
Elena Kantor’s lecture on Bulk and shear visosities in nuclear matter
Matthias Hempel’s talk on Equation of State Effects in Core-Collapse Supernovae
Kostas Glampedakis’ lecture on Neutron star oscillations
Computational Physics course at Ohio State
Jupyter notebooks + Features + Tricks + Jupyter themes + Jupyter code fonts
99 Ways to extend the Jupyter ecosystem
Pweave: Scientific reports using Python
Alternative workflow to Jupyter notebooks
David Beazly’s Practical Python Programming Course
Machine Learning with Python: Easy and robust method to fit nonlinear data
A collection of python MCMC implementations
Slides of the School of Statistics for Astrophysics 2017: Bayesian Methodology
Astrostatistics lectures at SAMSI 2006
E. Toredo: The promise of Bayesian inference for astrophysics
Links on Bayesian method in astronomy/astrophysics
A Beginner’s Guide to Neural Networks and Deep Learning
NIST Digital Library of Mathematical Functions
3G Science Case Consortium Meeting
3rd HEL.A.S. SUMMER SCHOOL AND DAAD SCHOOL: NEUTRON STARS AND GRAVITATIONAL WAVES
NEB-18 Recent Developments in Gravity
How Holography Could Help Solve Quantum Gravity
Black Hole Firewalls Could Be Too Tepid to Burn
Dark Energy May Be Incompatible With String Theory
Are Black Holes Actually Dark Energy Stars?
Squishy or Solid? A Neutron Star’s Insides Open to Debate
How the Universe Got Its Bounce Back
The Case Against Quantum Computing
The End of Theoretical Physics As We Know It
A Fight for the Soul of Science
The present phase of stagnation in the foundations of physics is not normal
What Quantum Gravity Needs Is More Experiments
The Peculiar Math That Could Underlie the Laws of Nature
Experiment Reaffirms Quantum Weirdness
Closed Loophole Confirms the Unreality of the Quantum World
Theoretical physics has not gone to the dogs
Physicists finally calculated where the proton’s mass comes from
The Quantum Thermodynamics Revolution
At Multiverse Impasse, a New Theory of Scale
Why Black Hole Interiors Grow (Almost) Forever
Yes, Virtual Particles Can Have Real, Observable Effects
Colliding Neutron Stars Could Settle the Biggest Debate in Cosmology
Physicists are a step closer to a theory of quantum gravity
This One Experiment Reveals More About Reality Than Any Quantum Interpretation Ever Will