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rubin_sim

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

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rubin_sim

The Legacy Survey of Space and Time (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.
  • 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.
  • 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, including installation instructions.

Getting Help

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

Metadata

Release files for rubin-sim 2.6.2

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Source distribution (sdist)

Source distribution for rubin-sim 2.6.2
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rubin_sim-2.6.2-py3-none-any.whl Python 3 none any Details

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