ahnitz

ahnitz's Stars

• dfm/emcee

  The Python ensemble sampling toolkit for affine-invariant MCMC

  Language:Python1.5k86293431

• system76/launch

  System76 Launch Configurable Keyboard

  Language:Shell1.4k486060

• joshspeagle/dynesty

  Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

  Language:Python3551932477

• gwastro/pycbc

  Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

  Language:Python31541839351

• JohannesBuchner/UltraNest

  Fit and compare complex models reliably and rapidly. Advanced nested sampling.

  Language:Python147712930

• gwastro/PyCBC-Tutorials

  Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

  Language:Jupyter Notebook11612949

• willvousden/ptemcee

  A parallel-tempered version of emcee.

  Language:Python5881029

• amd/amd-fftw

  FFTW code optimized for AMD based processors

  Language:C49161213

• bradkav/PBHbounds

  Code for plotting bounds on the abundance of primordial black holes (PBHs)

  Language:Python458821

• gwastro/ml-mock-data-challenge-1

  Code and documentation for the first machine learning focused mock data challenge hosted by the Albert-Einstein-Institut Hannover and the Friedrich-Schiller Universität Jena.

  Language:Jupyter Notebook3913916

• htcondor/htmap

  High-Throughput Computing in Python, powered by HTCondor

  Language:Python321414810

• sxs-collaboration/gwsurrogate

  An easy to use interface to gravitational wave surrogate models

  Language:Jupyter Notebook24132522

• gwastro/PyCBCInferenceWorkshopMay2019

  Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.

  Language:Jupyter Notebook1314011

• gwastro/gw150914_investigation

  Investigating the noise residuals around the gravitational wave event GW150914

  Language:Jupyter Notebook121006

• gwastro/1-ogc

  First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.

  Language:Shell111106

• gwastro/2-ogc

  Second Open Gravitational-wave Catalog of Compact Binary Mergers. Parameter estimates for O1 and O2 mergers. Sub-threshold BNS/NSBH/BBH candidates.

  Language:Shell111233

• adam-coogan/pydd

  Searching for dark matter around black holes

  Language:Jupyter Notebook9303

• cdcapano/pykerr

  QNM frequencies and spheroidal harmonics of Kerr black holes.

  Language:Python8305

• JohannesBuchner/snowline

  Fit and compare complex models quickly. Laplace Approximation, Variational Bayes, Importance Sampling.

  Language:Python8411

• gwastro/pycbc-inference-paper

  Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,

  Language:Jupyter Notebook71135

• cdcapano/epsie

  An Embarrasingly Parallel Sampler for Inference Estimation

  Language:Python6332

• Mooreb4/TaylorF2e

  Generates TaylorF2e

  Language:C++6105

• sugwg/gw170817-eft-eos

  Supplemental materials for GW170817 EFT EOS paper

  Language:Jupyter Notebook61100

• icg-gravwaves/lensed-o1-o2-data-release

  Data release for the paper "Search for strongly lensed counterpart images of binary black hole mergers in the first two LIGO observing runs"

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• vaibhavtewari/Varaha

  The light weight but efficient non-Markovian sampler, Varaha

  Language:Jupyter Notebook5201

• cosmic-explorer/cosmic-explorer.github.io

  Cosmic Explorer web page

  Language:HTML419104

• gwastro/o1-gwgrb

  Supplementary materials for our GW-GRB search of the first observing run of advanced LIGO.

  Language:Jupyter Notebook490

• gwastro/o2-bbh-pe

  Data Release of posterior samples from PyCBC Inference analysis of the binary black-hole signals GW170104, GW170608 and GW170814 in Advanced LIGO-Virgo's second observing run. This repository also includes configuration files and run scripts to run the analyses.

  Language:Jupyter Notebook41001

• gwastro/3ogc_birefringence

  Data release for testing birefringence with the 3-OGC (third Open Gravitational-wave Catalog)

  Language:Python3100

• yi-fan-wang/ParitywithGW

  This repo contains the posterior files for constraining the parity-violation energy scale for gravity with gravitational-wave data.

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