LSST_OpSim | Notebooks and tools to perform MAF on OpSims

 by   RichardsGroup Jupyter Notebook Version: Current License: MIT

kandi X-RAY | LSST_OpSim Summary

kandi X-RAY | LSST_OpSim Summary

LSST_OpSim is a Jupyter Notebook library. LSST_OpSim has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The repo provides instructions, notebooks, and scripts to help people getting started with testing LSST cadence simulations hosted on SciServer. This work was initiated to encourage LSST AGN SC members to design and run metrics on simulated LSST cadences, to enable selection of cadences that are best for AGN science in LSST. However, since the data and notebooks are all public, anyone interested in testing the cadences is welcome to use the tools provided here within the infrastructure provided by the SciServer team. This project is led by Weixiang Yu and Dr. Gordon Richards at Drexel University, with extensive help from the SciServer team.
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              LSST_OpSim has a low active ecosystem.
              It has 5 star(s) with 4 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 16 have been closed. On average issues are closed in 39 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LSST_OpSim is current.

            kandi-Quality Quality

              LSST_OpSim has no bugs reported.

            kandi-Security Security

              LSST_OpSim has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              LSST_OpSim is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              LSST_OpSim releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            LSST_OpSim Key Features

            No Key Features are available at this moment for LSST_OpSim.

            LSST_OpSim Examples and Code Snippets

            No Code Snippets are available at this moment for LSST_OpSim.

            Community Discussions

            No Community Discussions are available at this moment for LSST_OpSim.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install LSST_OpSim

            The instructions on how to create an account on SciServer, create a container with the necessary software installed and the cadence volume mounted can be found in sciserver_opsim.pdf.
            Once you have finished the setup, clone this repo to your "persistent" folder. You can begin exploring the simulated cadences using the notebooks and scripts provided here. We would suggest following the order listed below:. Note: The opsimUtils.py script must be kept in the same directory in which you want to run the notebooks. Once you are a MAF pro, you can learn more about MAF from sims_maf_contrib github repo. For details on the most recent release of LSST cadence simulation, please refer to the FBS_1.4 thread, FBS_1.5 thread, FBS_1.6 thread and FBS_1.7 thread on LSST Community page. (Note that FBS 1.4 simulations have been superceded by runs in 1.5, 1.6 or 1.7, the link above is only for reference purpose.). Pro tip: If you have already walked through all of the notebooks provided above and realize that some code might take forever to run, you can experiment with the SciServer Jobs (which can give you the access to more computing power and memory), here is how to do it -> SciServer_Jobs.
            Introduction.ipynb: A notebook providing a brief overview about how to use MAF.
            Multiple_Opsims.ipynb: A notebook showing how to run some metrics on multiple (all) opsims.
            View_Results.ipynb: A notebook showing how to read in the result produced in the notebook above.
            wfdFootPrint.ipynb: A notebook showing how to use a custom healpix slicer to run metrics on WFD observations only. Since the Feature-based opsims no longer use fixed tiles, we have get WFD observations through some tricks. For more discussions on this topic, please see this thread on LSST community.com
            DDF_Other_FootPrint.ipynb: A notebook showing how to run metrics on DDF only or areas that are outside DDF and WFD.
            A summary/cheetsheet (by Lynne Jones) of cadence simulations that are currently available.
            Columns in the OpSim databas -> here
            A high-level comparison/description of various simulation groups/families (across FBS 1.5, 1.6 and 1.7)-> here

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/RichardsGroup/LSST_OpSim.git

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            gh repo clone RichardsGroup/LSST_OpSim

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            git@github.com:RichardsGroup/LSST_OpSim.git

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