https://github.com/lsst/rubin_sim

Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.
https://github.com/lsst/rubin_sim

Last synced: about 1 year ago
JSON representation

Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.

• Host: GitHub
• URL: https://github.com/lsst/rubin_sim
• Owner: lsst
• License: gpl-3.0
• Created: 2021-05-06T20:37:58.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2024-11-01T19:36:54.000Z (over 1 year ago)
• Last Synced: 2024-11-03T02:24:22.259Z (over 1 year ago)
• Language: Python
• Homepage: https://rubin-sim.lsst.io
• Size: 6.88 MB
• Stars: 42
• Watchers: 13
• Forks: 37
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# rubin_sim

Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.

[![pypi](https://img.shields.io/pypi/v/rubin-sim.svg)](https://pypi.org/project/rubin-sim/)

 [![Conda Version](https://img.shields.io/conda/vn/conda-forge/rubin-sim.svg)](https://anaconda.org/conda-forge/rubin-sim) 


[![Run CI](https://github.com/lsst/rubin_sim/actions/workflows/test_and_build.yaml/badge.svg)](https://github.com/lsst/rubin_sim/actions/workflows/test_and_build.yaml)

[![Build and Upload Docs](https://github.com/lsst/rubin_sim/actions/workflows/build_docs.yaml/badge.svg)](https://github.com/lsst/rubin_sim/actions/workflows/build_docs.yaml)

[![codecov](https://codecov.io/gh/lsst/rubin_sim/branch/main/graph/badge.svg?token=2BUBL8R9RH)](https://codecov.io/gh/lsst/rubin_sim)

[![DOI](https://zenodo.org/badge/365031715.svg)](https://zenodo.org/badge/latestdoi/365031715)

## rubin_sim ## 

The [Legacy Survey of Space and Time](http://www.lsst.org) (LSST)

is anticipated to encompass around 2 million observations spanning a decade,

averaging 800 visits per night. The `rubin_sim` package was built to help

understand the predicted performance of the LSST.

The `rubin_sim` package contains the following main modules: 

* `phot_utils` - provides synthetic photometry

using provided throughput curves based on current predicted performance.

* `skybrightness` incorporates the ESO

sky model, modified to match measured sky conditions at the LSST site,

including an addition of a model for twilight skybrightness. This is used

to generate the pre-calculated skybrightness data used in

[`rubin_scheduler.skybrightness_pre`](https://rubin-scheduler.lsst.io/skybrightness-pre.html).

* `moving_objects` provides a way to generate

synthetic observations of moving objects, based on how they would appear in

pointing databases ("opsims") created by

[`rubin_scheduler`](https://rubin-scheduler.lsst.io).

* `maf` the Metrics Analysis Framework, enabling efficient and

scientifically varied evaluation of the LSST survey strategy and progress

by providing a framework to enable these metrics to run in a

standardized way on opsim outputs.

More documentation for `rubin_sim` is available at 

[https://rubin-sim.lsst.io](https://rubin-sim.lsst.io), including installation instructions. 

### Getting Help ###

Questions about `rubin_sim` can be posted on the [sims slack channel](https://lsstc.slack.com/archives/C2LQ5JW9W), or on https://community.lsst.org/c/sci/survey_strategy/ (optionally, tag @yoachim and/or @ljones so we get notifications about it).