lsst
There are 1 repository under lsst topic.
GalSim-developers / GalSim
The modular galaxy image simulation toolkit. Documentation:
Language:Python 213rmjarvis / TreeCorr
Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
Language:Python 97- Language:Python 87
- Language:Jupyter Notebook 78
PSFs In the Full FOV. A software package for modeling the point-spread function (PSF) across the full field of view (FOV). Documentation:
Language:Python 51burke86 / astro_rcnn
Astro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning
Language:Jupyter Notebook 41- Language:Python 33
LSSTDESC / gcr-catalogs
A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC
Language:Python 24- Language:Ruby 15
profjsb / timedomain-taxonomy
Open, versioned taxonomy for astronomical time-series sources
Language:Python 12Project focused on understanding the fundamental nature of dark matter with LSST
Language:Jupyter Notebook 9- Language:Python 8
- Language:Python 7
phuijse / tutorial_periodic_stars
A tutorial on periodic variable star discrimination using machine learning
Language:Jupyter Notebook 7lsst / qserv-operator
Qserv Operator creates/configures/manages Qserv clusters atop Kubernetes
Language:Go 6- Language:HTML 5
marinadunn / thesis
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
Language:Jupyter Notebook 5airnandez / lsst-cvmfs
How to configure CernVM FS to use LSST binary distribution [won't be updated - please see https://sw.lsst.eu]
Language:Shell 4LSST-sersag / dle
Developing deep learning engines (DLEs) for non-parametric modeling and extracting of information from active galactic nuclei (AGN) light-curves (LCs), which are directly related to the scientific objectives of the LSST Exploring transient optical sky. Developed DLEs Jupyter notebooks might be adaptable for modeling of light-curves of other objects, and will be tested on LSST Data Previews, as well as on other datasets through NOIRLab services.
Language:Jupyter Notebook 4Package to interact with `LSST` `OpSim` outputs for simulations of Time Domain Astronomy objects.
Language:Jupyter Notebook 4Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017
Language:Jupyter Notebook 4dirac-institute / hybrid_sso_catalogue
A package for creating hybrid solar system catalogues for making LSST predictions
Language:Python 2Cloud-based delivery of the LSST science pipelines
Language:Shell 1H-Mentz / Overscan-Anomalies
Awareness of the signal anomalies in the overscan regions of LSST images is an integral part of obtaining precise signal baselines. This is the code for a primary assessment of overscan anomalies that appear in flat images with long exposure times.
lewisfish / PawlikMorph-LSST
Translation and optimisation of SEDMORPH's PawlikMorph IDL code for analysing images of galaxies from SDSS data release 7
Language:Python 1- Language:Python 1
- Language:Python 1
- Language:Jupyter Notebook 1
- 0
arasmssn / flex_geo_RT
Poor man's fast geometric raytrace, relatively straightforward, under-featured stand-in for ZEMAX.
Language:C 0CTMObservatory / obs_ctmo
LSST Software Stack obs_package for the CTMO Observatory
Language:Python 0ittpmichael / plasticc-2018
My simple ML model for Kaggle's PLAsTiCC Astronomical Classification 2018
Language:Python 0- Language:Jupyter Notebook
JupyterLab kernel configuration for the LSST science pipelines
Language:Shell- Language:Python
suberlak / crowded_fields
A repo for investigation of crowded field photometry
Language:Jupyter Notebook
