Faro: a framework for measuring the scientific performance of petascale Rubin Observatory data products

  title={Faro: a framework for measuring the scientific performance of petascale Rubin Observatory data products},
  author={Leanne P. Guy and Keith C. Bechtol and Jeffrey L. Carlin and Erik Dennihy and P. S. Ferguson and K. Simon Krughoff and Robert H. Lupton and Colin T. Slater and Krzysztof Findeisen and Arun Kannawadi and Lee S Kelvin and Nate B. Lust and Lauren A. Macarthur and Michael N. Martinez and S. L. Reed and Dan S. Taranu and W. Michael Wood-Vasey},
  booktitle={Astronomical Telescopes + Instrumentation},
The Vera C. Rubin Observatory will advance many areas of astronomy over the next decade with its unique widefast- deep multi-color imaging survey, the Legacy Survey of Space and Time (LSST).1 The LSST will produce approximately 20TB of raw data per night, which will be automatically processed by the LSST Science Pipelines to generate science-ready data products – processed images, catalogs and alerts. To ensure that these data products enable transformative science with LSST, stringent… 



The LSST DESC DC2 Simulated Sky Survey

We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) by the

An Overview of the LSST Image Processing Pipelines

An overview of Data Management for LSST includes processing on both nightly and yearly cadences to generate transient alerts, deep catalogs of the static sky, and forced photometry light-curves for billions of objects at hundreds of epochs, spanning at least a decade.

The Hyper Suprime-Cam Software Pipeline

The HSC Pipeline builds on the prototype pipeline being developed by the Large Synoptic Survey Telescope's Data Management system, adding customizations for HSC, large-scale processing capabilities, and novel algorithms that have since been reincorporated into the LSST codebase.

Vera C. Rubin Observatory auxiliary telescope commissioning as a control system pathfinder

The construction of the Vera C. Rubin Observatory is well underway, and when completed the telescope will carry out a precision photometric survey, scanning the entire sky visible from Chile every

The Vera C. Rubin Observatory Data Butler and pipeline execution system

The Rubin Observatory’s Data Butler is designed to allow data file location and file formats to be abstracted away from the people writing the science pipeline algorithms. The Butler works in

LSST data management software development practices and tools

This paper discusses the agile software development methodology and the API and developer decision making process for the LSST data management system, and the software tools that are used for continuous integration and deployment.

Rubin Science Platform on Google: the story so far

Rubin Observatory’s experience with offering a data access facility deployed on Google cloud infrastructure as part of the pre-Operations Data Preview program is described.

LSST: From Science Drivers to Reference Design and Anticipated Data Products

The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way.

Data Preview 0: Definition and planning.,

  • Vera C. Rubin Observatory Technical Note, RTN-001 https://rtn-001.lsst.io/ (Sept. 2021)
  • 2021