Skip to main content

Hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously

Project description

https://img.shields.io/pypi/v/hierarc.svg https://github.com/sibirrer/hierarc/workflows/Tests/badge.svg https://coveralls.io/repos/github/sibirrer/hierArc/badge.svg?branch=main Documentation Status Powered by Astropy Badge

Hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously.

The software is originated from Birrer et al. 2020 and is in active development.

Features

The software allows to fit lenses with measured time delays, imaging information, kinematics constraints and standardizable magnifications with parameters described on the ensemble level.

Installation

$ pip install hierarc --user

Usage

The full analysis of Birrer et al. 2020 is publicly available at this TDCOSMO repository . A forecast based on hierArc is presented by Birrer & Treu 2020 and the notebooks are available at this repository. The extension to using hierArc with standardizable magnifications is presented by Birrer et al. 2021 and the forecast analysis is publicly available here. For example use cases we refer to the notebooks of these analyses.

Credits

Simon Birrer & the TDCOSMO team.

Please cite Birrer et al. 2020 if you make use of this software for your research.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hierarc-1.1.1.tar.gz (69.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page