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