dr-guangtou

Song Huang's repositories

taotie

饕餮：A curated collection of resources for astrophysical research

MIT299 17 8

daily_astroph

Daily dose of astro-ph reading

Unlicense37 3 1

unagi

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

Language:PythonMIT23 3 15

luandun

Luandun: Chaotic but delicious

Language:Jupyter NotebookGPL-3.016 30

kungpao

Delicious Galaxies!

Language:PythonGPL-3.011 3 11

dsigma

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

Language:PythonGPL-3.06 30

synpipe

Synthetic Object Pipeline for Hyper Suprime-Cam Data

Language:PythonGPL-3.05 10

huoguo

Personal codes to work on HSC massive galaxies in 1-D

Language:Jupyter NotebookGPL-3.03 10

jianbing

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

Language:Jupyter NotebookMIT3 10

asap

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

Language:Jupyter NotebookUnlicense2 3 6

lvhuo

Image stacking analysis for Hyper Suprime-Cam data

Language:PythonMIT2 1 1

dr-guangtou

My Github Profile Readme

100

dr-guangtou.github.io

Personal Website

Language:JavaScriptMIT1 1 2

hongshao

Toy model for the two-phase assembly of massive galaxies

1 10

riker

Having some fun with galaxy from the IllustrisTNG simulation

Language:PythonMIT1 20

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Language:JavaScriptMIT000

bipolar

Image conversion between Cartesian and Polar coordinate

MIT010

damascus

Massive Galaxies Clusters in DECaLS

Language:Jupyter NotebookMIT010

desispec

DESI spectral pipeline

Language:PythonBSD-3-Clause000

hs_galspec

Personal Python and IDL codes to deal with MaNGA data

Language:Jupyter NotebookBSD-3-Clause01 3

hs_hsc

Hyper-Suprime Camera Survey Early Data Test

Language:Jupyter Notebook01 43

hs_sdssspec

IDL procedures to deal with SDSS spectra

Language:ShellBSD-3-Clause010

importExtData

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

Language:Python000

legacyhalos

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

Language:Jupyter NotebookMIT010

matplotlib-venn

Area-weighted venn-diagrams for Python/matplotlib

Language:Jupyter NotebookMIT000

mrf

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

Language:PythonMIT000

obs_decam

Interface for DECam to the LSST stack.

Language:PythonGPL-3.0000

pymfit

python-imfit

Language:Jupyter NotebookMIT010

specsim

Quick simulations of spectrograph response

Language:Python000

TreeCorr

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

Language:PythonNOASSERTION000