lsstdesc Goto Github PK

plasticc-kit

Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge

plasticc_alerts

postgres-cmath

PostgreSQL extension making c math library available. Identical to HSC version

pre-meeting-checklist

A checklist that prepares you for the upcoming DESC meeting!

prepsf-moments

paper on prepsf moments for shear measurement

proclam

PRObabilistic CLAssification Metrics for ELAsTiCC

provenance

A prototype DESC provenance library, extracted from TXPipe

pserv

Practice database server for LSST data, emulates Qserv, follows Level 2 schema

psf-weather-station

generate realistic atmospheric input parameters for point-spread function simulations in GalSim

psfhome

Impact of PSF Higher Oder Moments Error (HOME) on WL

python_package_template

Cookiecutter template for a DESC Python package.

pz_bayes

A consolidation of notebooks and papers on photometric redshift estimation.

pz_blend

impact of blending on photo-zs using DC2 truth catalogs and image catalogs

pz_calibrate

Methods and pipelines for calibrating N(z) from photometric samples.

pz_env

pz_incomplete

Methods and pipelines for estimating the effect of spectroscopic incompleteness on photometric redshifts.

pz_pdf

Methods and pipelines for estimating and storing photometric redshifts.

pzdc1paper

DC1 paper describing PDF results from multiple codes

qit

qp Inference Toolkit

qp

Quantile Parametrization for probability distribution functions module

qp-feedstock

A conda-smithy repository for qp.

rail

Top level "umbrella" package for RAIL

rail_bpz

RAIL interface to BPZ algorithms

rail_delight

Delight-based stages for RAIL.

rail_flexzboost

RAIL interface to Flexzboot algorithms

rail_fsps

RAIL interface to fsps

rail_gpz_v1

RAIL-wrapped version of Peter Hatfields pure python implementation of GPz-v1

rail_hub

Top level "umbrella" package for RAIL

rail_pipelines

Collection of RAIL-based data analysis pipelines

recipes

A collection of working example scripts for generating simulated LSST images given basic inputs, and for using the DM stack to analyze those images.