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Bio: Theoretical Physics. Cosmology
Type: User
Bio: Theoretical Physics. Cosmology
Pseudo-Cl analysis of KiDS-1000 gravitational lensing and its cross-correlation with the thermal Sunyaev-Zeldovich effect
Lyman-alpha Cosmology Emulator. This code is a Gaussian process emulator for the 1D flux power spectrum of the Lyman-alpha forest, and was used to generate the results shown in https://arxiv.org/abs/2011.15127, https://arxiv.org/abs/2209.09895, and https://arxiv.org/abs/2305.19064.
Detection of the directional anomaly of the cmb map
Package for large-scale structure cosmology with Lyman-break galaxies and weak gravitational lensing of the Cosmic Microwave Background.
Tutorials for the LeGaC 2022 meeting
Tools to perform CMB lensing - galaxy cross correlations
Useful computing tools for Weak Lensing analyses http://lenstools.readthedocs.io
Extension modules to the lenstronomy software package
Light vector bosons and photodisintegration effects during the Big Bang Nucleosynthesis
Weak lensing simulations and example likelihood-free inference with neural compression of DES SV data
Jupyter notebooks to keep my learning notes about wavelet theory
Linear growth factor of density perturbations
tools for litebird lensing analysis
Python script to simulate the mission LiteBIRD, its calibration and its interaction with the CMB
Analyze large scale structure data
Analysis of LSST SRD Y10 SN data for dark energy estimates.
Various large-scale structure likelihoods for Montepython
Cosmology libraries in Python
All material for lectures and projects of MACSS 2019 Guanajuato, Mexico
a continuous-function estimator for the two-point correlation function
Python package to calculate angular two-point correlation functions. Current status: All basic functionality is in place. Still working on the examples and setting it up for PyPI.
Code development to use CoLoRe simulations for generating simulated Lyman alpha forest spectra
Autocorrelation of Lyman-α forests
Tools to forecast cosmological constraints from Lyman alpha surveys
ML course of University of Washington
Github repository for machine learning application on quasar selection and the discrimination between stars and galaxies.
Materials for my scikit-learn tutorial
Machine learning and statistics for physicists
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.