LMT === .. note:: A local version of this documentation can be found on https://www.astro.umd.edu/~teuben/LMT/lmtoy/html LMTOY is a toolbox for installing and running codes related to Large Millimeter Telescope (LMT) data reduction. LMT is a large 50m single dish radio telescope located in Mexico `(18:59:09N 97:18:53W) `_ operating at mm wavelengths. http://lmtgtm.org/ This document describes the current toolbox of LMT tools that you might want to use to reduce LMT data. It will cover most Spectral Line instruments (Sequioa, RSR, 1MM, B4R), but does not discuss continuum instruments. The source code is available via https://github.com/astroumd/lmtoy which describes how to assemble the toolbox with the help of a number of existing codes. We also use the `github issue tracker `_ for all things related to the toolbox. Concept of Operations ===================== .. toctree:: :maxdepth: 2 conops lmt_web_lite Installation ============ If you plan to try out the code, you may want to inspect or use the ``docs/install_lmtoy`` script from the **lmtoy** github repo. Here's an example how to install using it: .. code-block:: sh wget https://astroumd.github.io/lmtoy/install_lmtoy bash install_lmtoy This example script is not very long, is fairly self-documenting, and should work on most Linux and Mac machines. It has a few optional command line parameters. Here is an example of installing it with an already populated ``$DATA_LMT`` data directory: .. code-block:: sh bash install_lmtoy data_lmt=/lma1/lmt/data_lmt After this was installed, the pipeline can be activated and executed as follows: .. code-block:: sh source lmtoy_start.sh SLpipeline.sh obsnum=79448 After this the data products can be found in the directory ``2018S1SEQUOIACommissioning/79448``. Currently by default the script runs the pipeline for obsnum=33551 (an RSR example) and obsnum=79448 (a Sequoia example), and the results are under ``$WORK_LMT``. Lightweight install ------------------- A full install will be able to run the pipeline, but a simple lightweight install will be able to provide some capabilities. This lightweight install will not contain all the instrument based modules. .. code-block:: sh git clone https://github.com/astroumd/lmtoy pip install -e lmtoy Spectral Line Reduction ======================= Here is most of the manual .. toctree:: :maxdepth: 2 workflow sdfits fits tools pipeline glossary FAQ Sequoia pipeline ================ This old markdown will be converted to official rst. .. toctree:: :maxdepth: 2 reduce RSR pipeline ============ .. toctree:: :maxdepth: 2 rsr Pointing ======== .. toctree:: :maxdepth: 2 pointing Data and TAPs ============= .. toctree:: :maxdepth: 2 TAP Markdowns ========= Some of the old documentation is still in markdown format, and often contain just notes. Here we attempt to include them automagically .. toctree:: :maxdepth: 2 masking wishlist unity Notebook: SLR_example ===================== Here are some jupyter notebooks, automatically included by sphinx. .. toctree:: :maxdepth: 2 SLR_example API === This is where the API can eventually be found, but there is not much there yet. .. toctree:: :maxdepth: 2 api lmtslr dreampy3 History ======= Instruments and LMT have undergone various transformations, and especially when LMT was upgraded with a extra ring, making the dish from effectively a 32m telescope to a 50m telescope. This occured somewhere in feb/mar 2018. Indices ======= * :ref:`genindex` * :ref:`modindex` * :ref:`search` Credits ======= ``lmtoy`` is developed by ... This project is supported by NSF ... .. if this last file is missing, that's ok .. include:: lastmod.rst