Skip to content

README.md

Latest commit

 

History

History
36 lines (19 loc) · 3.69 KB

README.md

File metadata and controls

36 lines (19 loc) · 3.69 KB
Raw

Science-driven Optimization of the LSST Observing Strategy

Build Status

the LSST Community Observing Strategy Evaluation Paper (COSEP) is a living document that explores the effects that changes to the LSST survey strategy would have on the detailed performance of the anticipated science investigations, with quantifications via the the Metric Analysis Framework.

How to contribute

We welcome contributions from all members of the LSST project and science community! The COSEP contains guidelines for authors on how to get involved - including hyperlinks to useful resources.

If you would like to propose changes or additions to the COSEP, please:

    1. First, read the paper and the issues to see if your suggestion is already being discussed.
    1. Then, to edit the COSEP, first fork this repository, clone it to your local machine, and edit the text. To compile the PDF, just hit make in the whitepaper folder.
    1. After you have committed and pushed your changes, you can submit a pull request to get your work accepted into the COSEP by the editors. Thanks!

If the document does not compile, and you cannot fix the problem, please submit the error message and your preliminary diagnosis as an issue.

The individual chapters and sections are stored in separate modular tex files, to enable us to be flexible about the document structure later. The main tex file is LSST_Observing_strategy_White_Paper.tex. Please browse this file to see which files host each chapter. The chapter files then bring in the content from the section files.

Section Leads: you will need to make sure that your section is correctly read into your chapter via an \input statement. Please see the cosmology.tex chapter and lenstimedelays.tex section for an example. Also, please keep your section's header up to date, to make it easy for your co-authors to see what is in each file.

License, credit etc

This paper contains research in progress. All content is Copyright 2015, 2016, 2017, 2018 The LSST Science Collaborations. If you would like to cite it, please do so as "(LSST Science Collaborations, in preparation)" and provide a footnote containing the URL of this repository: https://github.com/LSSTScienceCollaborations/ObservingStrategy. The LaTeX and python code used here is distributed for you to use at your own risk under the MIT License. We are grateful to the developers of yahapj.bst for enabling our hyper-linked reference list.