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Bio: Theoretical Physics. Cosmology
Type: User
Bio: Theoretical Physics. Cosmology
tool to calculate the statistical significance (\sigma) of a $\gamma$-ray signature, detected with the Fermi Large Area Telescope (LAT). The sigma value depends on the number of Degrees of Freedom (dof) involved in a Likelihood Analysis and the resulting Test Statistic (TS) value.
Python implementation of the paper "PyFriends: The First Fully Generalized Friends-of-Friends Extragalactic Galaxy Group Finder", using a Friends-of-Friends (FoF) algorithm for galaxy group detection, augmented by graph theory approaches.
Hands-on activities and examples for the workshop on Gravitational Lensing at the FoF 2022 meeting
A foreground and instrumental plugin for py21cmmc
FreeCodeCamp Challenge Projects for Scientific Computing with Python Course
Files for KIAS astro summer school
Lightspeed pair counts and correlation functions for large galaxy surveys
The astronomy graduate students' (belated) hack day for Gaia Data Release 2
Gaia DR3 has 6.6M quasar candidates! We construct a new quasar catalog for cosmology with them.
Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
Exploring observable signatures of the timescales on which galaxies evolve
Environment for creating initial conditions for galaxy collisions.
Tutorials for the KITP Galevo23 program
Constraints on dark matter models from observations of gas-rich dwarf galaxies. Code repository associated with https://arxiv.org/abs/1903.12190 and https://arxiv.org/abs/1903.12191
GP Regression and Classification
Gaussian Covariance Matrix of Galaxy Power Spectrum
Applications of Gaussian Processes Regression to the non-parametrical prediction of cosmological observables (Dark Energy, Hubble Parameter and Deceleration Parameter)
Fisher matrix codes for nonlinear galaxy clustering
Fisher matrix code for galaxy clustering.
Provides a set of functions for performing coordinate-based tensor calculations with a focus on general relativity and black holes in particular.
Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Reproducing the quasi-normal mode calculations of `Ge, Rong-Chun, Philip Trøst Kristensen, Jeff F Young, and Stephen Hughes. “Quasinormal Mode Approach to Modelling Light-Emission and Propagation in Nanoplasmonics.” New Journal of Physics 16, no. 11 (November 19, 2014): 113048. https://doi.org/10.1088/1367-2630/16/11/113048.
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Gaussian process based implementation for galaxy star formation histories with custom kernels
The Open Data Workshop being conducted is part of a series that started in 2018. This workshop aims to provide participants with a crash-course in gravitational-wave data analysis.
Collection of Mathematica notebooks worked out for a variety of papers and books. Utilizes the General Relativity Tensors package from the Black Hole Perturbation Toolkit package. If you don't have access to Mathematica, you can still read the files by using Wolfram Player available here: https://www.wolfram.com/player/
Objective is to train the various Deep Learning Model which can classify the glitches present in the Gravity Spy dataset.
This repository contains the Mathematica files of arXiv:2103.04045
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.