zhaoshiyicn Goto Github PK
Name: zhaosy
Type: User
Location: Guangdong, China
Name: zhaosy
Type: User
Location: Guangdong, China
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.
Companion tutorials for the NANOGrav 15-year GWB analysis
A set of extension codes, utilities, and scripts for the enterprise PTA analysis framework.
Pulsar timing data analysis tools. Wrapper for Enterprise. Documentation:
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.
An omni-sampler for Bayesian MCMC
Repository to hold the lecture and tutorial notes for the 2022 GW school
Simulation of model selection and parameter estimation of gravitational wave memory for ground-based detectors and LISA
Package for analysing and characterising gravitational wave data in python
Notebooks, links, data, and other material of the InPTA student week will be available here.
Tutorials and tools for the LATW Workshop
: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/
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
A place to organize various pieces of code for NANOGrav noise model selection.
Synthesizing all kinds of simulated pulsar timing array datasets
A simple wrapper of ENTERPRISE and ceffyl that allows for new-physics searches in PTA data.
Parallel tempering MCMC sampler package written in Python
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.
Kolmogorov Arnold Networks
Fast continuous wave (CW) analysis for PTA data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.