dr-guangtou

Song Huang's repositories

taotie

饕餮：A curated collection of resources for astrophysical research

MIT382 24 8

daily_astroph

Daily dose of astro-ph reading

Unlicense40 4 1

unagi

Search and download data from Hyper Suprime-Cam (HSC) Subaru Strategic Survey (SSP)

Language:PythonMIT33 4 15

luandun

Luandun: Chaotic but delicious

Language:Jupyter NotebookGPL-3.016 40

kungpao

Delicious Galaxies!

Language:PythonGPL-3.014 4 11

dsigma

Pure-python galaxy-galaxy lensing framework for the HSC survey

Language:PythonGPL-3.05 40

synpipe

Synthetic Object Pipeline for Hyper Suprime-Cam Data

Language:PythonGPL-3.05 20

huoguo

Photometric Analysis of Massive Galaxies in HSC Y3 Data

Language:Jupyter NotebookGPL-3.03 30

asap

Modeling the dark matter halo properties across the M100kpc-M10kpc plane

Language:Jupyter NotebookUnlicense2 4 6

dr-guangtou.github.io

Song Huang's Personal Webpage

Language:HTMLMIT2 10

jianbing

The Outer Stellar Mass of Massive Galaxies: A SimpleTracer of Halo Mass with Scatter Comparable to Richnessand Reduced Projection Effects

Language:Jupyter NotebookMIT2 20

lvhuo

Image stacking analysis for Hyper Suprime-Cam data

Language:PythonMIT2 2 1

dr-guangtou

My Github Profile Readme

1 20

hongshao

Toy model for the two-phase assembly of massive galaxies

1 20

riker

Having some fun with galaxy from the IllustrisTNG simulation

Language:PythonMIT1 20

AutoProf

A fast, flexible, automated, and differentiable astronomical image modelling tool for precise parallel multi-wavelength photometry

Language:PythonGPL-3.0000

bipolar

Image conversion between Cartesian and Polar coordinate

MIT010

damascus

Massive Galaxies Clusters in DECaLS

Language:Jupyter NotebookMIT020

hs_galspec

Personal Python and IDL codes to deal with MaNGA data

Language:Jupyter NotebookBSD-3-Clause02 3

hs_hsc

Hyper-Suprime Camera Survey Early Data Test

Language:Jupyter Notebook02 43

hs_sdssspec

IDL procedures to deal with SDSS spectra

Language:ShellBSD-3-Clause020

hsc_redbcg

[Paper] Structures of BCGs and massive non-BCGs using HSC Survey

Language:Jupyter NotebookUnlicense02 1

importExtData

Python module to transform any image to be compliant with the Large Synoptic Survey Telescope stack environment (https://pipelines.lsst.io).

Language:Python010

legacyhalos

Code and papers for a multi-faceted study of the baryonic content of dark matter halos in Legacy Survey imaging.

Language:Jupyter NotebookMIT020

matplotlib-venn

Area-weighted venn-diagrams for Python/matplotlib

Language:Jupyter NotebookMIT010

mrf

Multi-Resolution Filtering: a method for isolating faint, extended emission in Dragonfly data and other low resolution images

Language:PythonMIT010

obs_decam

Interface for DECam to the LSST stack.

Language:PythonGPL-3.0010

pymfit

python-imfit

Language:Jupyter NotebookMIT020

specsim

Quick simulations of spectrograph response (Personal fork)

Language:Python000

TreeCorr

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

Language:PythonNOASSERTION020