zhaosy's repositories
12p5yr_stochastic_analysis
Analysis and tutorial materials associated with the NANOGrav Collaboration's search for an isotropic stochastic gravitational-wave background in 12.5-years of precision millisecond pulsar timing data.
15yr_stochastic_analysis
Companion tutorials for the NANOGrav 15-year GWB analysis
enterprise_extensions_zsy
A set of extension codes, utilities, and scripts for the enterprise PTA analysis framework.
enterprise_warp
Pulsar timing data analysis tools. Wrapper for Enterprise. Documentation:
enterprise_zsy
ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE) is a pulsar timing analysis code, aimed at noise analysis, gravitational-wave searches, and timing model analysis.
Eryn
An omni-sampler for Bayesian MCMC
gw-school-2022-materials
Repository to hold the lecture and tutorial notes for the 2022 GW school
gwmem_2022
Simulation of model selection and parameter estimation of gravitational wave memory for ground-based detectors and LISA
gwpy
Package for analysing and characterising gravitational wave data in python
InPTA-student-week-2022
Notebooks, links, data, and other material of the InPTA student week will be available here.
LATW
Tutorials and tools for the LATW Workshop
LoveTree
:palm_tree:爱情树,将相爱的时刻永远珍藏 (微信,QQ可完美查看)https://ajlovechina.github.io/LoveTree/
mcmc-python
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
noise_model_selection
A place to organize various pieces of code for NANOGrav noise model selection.
pta_replicator
Synthesizing all kinds of simulated pulsar timing array datasets
PTArcade
A simple wrapper of ENTERPRISE and ceffyl that allows for new-physics searches in PTA data.
PTMCMCSampler
Parallel tempering MCMC sampler package written in Python
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.
pykan
Kolmogorov Arnold Networks
QuickCW_zsy
Fast continuous wave (CW) analysis for PTA data