ChangHoon Hahn (changhoonhahn)

changhoonhahn

Geek Repo

Company:Princeton @astro-data-lab

Location:Princeton, NJ

Home Page:changhoonhahn.github.io

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Organizations
desi-bgs
DifferentiableUniverseInitiative
IQcollaboratory

ChangHoon Hahn's starred repositories

BoostNote-Legacy

This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App

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emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

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nflows

Normalizing flows in PyTorch

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sbi

Simulation-based inference toolkit

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zeus

⚡️ zeus: Lightning Fast MCMC ⚡️

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pydelfi

Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations

pygmmis

Gaussian mixture model for incomplete (missing or truncated) and noisy data

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TreeCorr

Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

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Quijote-simulations

Large suite of N-body simulations

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extreme-deconvolution

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

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map2map

A neural network emulator to transform field data

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lfi-gw

Likelihood-Free Inference for Gravitational Waves

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usrp-sciprog

Material for the Princeton Undergraduate Summer Research Program in Astrophysics

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spender

Spectrum encoder and decoder

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bayesfast

Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.

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SEDflow

Accelerated Bayesian SED modeling using Amortized Neural Posterior Estimation

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provabgs

PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS)

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FlatironMeeting

Meeting repo for likelihood free inference meeting

pyfisher

Fisher forecasting for cosmological surveys

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make_survey

Process periodic box of objects into mock survey.

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alf

Absorption Line Fitter

classylss

a lightweight Python binding of the CLASS CMB Boltzmann code

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DHOD

Differentiable Halo Occupation Distributions

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DustE

Calculate dust attenuation curves for 0.5<z<3.0 galaxies as a function of stellar mass, star formation rate, metallicity, redshift, and/or axis ratio (inclination).

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DeadTimeSBI

Simulation-Based Inference for Dead Time-Affected Light Curves

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eMaNu

emulating massive neutrinos

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LetsTalkAboutQuench

Let's talk about galaxy quench

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galpopFM

forward modeling galaxy populations

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starFS

identify the star-forming sequence using a data-driven approach

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