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There are some general LSST software stack requirements before installation: please check that your system has the pre-requisites installed.

Installing from Source

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curl -OL https://raw.githubusercontent.com/lsst/lsst/w.20202021.0611/scripts/newinstall.sh

which may in turn require prerequisites from the appropriate version of the documentation at https://pipelines.lsst.io/v/w_20202021_0611/install/prereqs/

Note that the https://pipelines.lsst.io/install/newinstall.html pages go on to describe LSST Data Management packages (lsst_apps and lsst_distrib) that include additional software not necessary for simulations (although it may be very useful for you!). This includes the LSST data management demo package. You may find it interesting for image processing and catalog purposes, but it is not directly related to installation and use of the simulations packages.

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source ~/lsst/loadLSST.shbash
eups distrib install lsst_sims -t sims_weekly_tag
curl -sSL https://raw.githubusercontent.com/lsst/shebangtron/master/shebangtron | python

This will install all packages currently in the catalogs simulations framework (CatSim) and metrics analysis framework (MAF) and all dependencies.  The installation should take on the order of 1 hour, with a final required installation size of 10GB.   Note that sims_weekly_tag will change depending on which weekly you want to install.  Sims weekly tags are of the form sims_w_YYYY_WW.  There is no good place to find what weekly has been most recently published, unfortunately.  If you look at the release tab on the lsst/afw repository you should see what the latest release is.  If, for example, the latest release is w.20192021.1411, then sims_weekly_tag will be sims_w_20192021_1411.

If you are using an older sims weekly tag, it is safest to use the corresponding version of newinstall.sh 

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