Large Synoptic Survey Telescope (LSST)
======================================

-  Opening a Window of Discovery on the Dynamic Universe

Basic Information:
------------------

-  `LSST Organization Website <https://www.lsst.org/>`__

   -  `Information for
      scientists <https://www.lsst.org/content/lsst-information-scientists>`__

-  `LSST Community Forum <https://community.lsst.org/categories>`__
-  `The LSST Corporation (LSSTC) <https://www.lsstcorporation.org/>`__

   -  LSSTC is a not-for-profit 501(c)3 corporation formed to initiate
      the LSST Project and advance the science of astronomy and physics.

-  `LSST Fact Sheets <https://www.lsst.org/about/fact-sheets>`__
-  `LSST Data Management on
   Zenodo <https://zenodo.org/search?page=1&size=20&q=%22LSST%22%20%22data%20management%22>`__
-  `LSST Camera Website at
   SLAC <https://lsst.slac.stanford.edu/#science-goals>`__
-  `LSST Science Advisory
   Committee <https://project.lsst.org/groups/sac/welcome>`__
-  `NOAO & Large Synoptic Survey Telescope
   (LSST) <http://ast.noao.edu/lsst/>`__

LSST Science Collaborations
~~~~~~~~~~~~~~~~~~~~~~~~~~~

-  `Galaxies Collaboration <http://galaxies.science.lsst.org/>`__
-  `Stars, Milky Way, and Local
   Volume <http://milkyway.science.lsst.org/>`__
-  `Solar System Collaboration <http://solarsystem.science.lsst.org/>`__
-  `Dark Energy Collaboration <http://lsst-desc.org/>`__
-  `Active Galactic Nuclei
   Collaboration <https://agn.science.lsst.org/>`__
-  `Transients and Variable Stars
   Collaboration <https://tvs.science.lsst.org/>`__
-  `Strong Lensing
   Collaboration <https://sites.google.com/view/lsst-stronglensing>`__
-  `Informatics and Statistics
   Collaboration <https://issc.science.lsst.org/>`__

LSST Dark Matter
^^^^^^^^^^^^^^^^

-  `LSST Dark Matter - Probing the fundamental physics of dark matter
   with LSST <https://lsstdarkmatter.github.io/>`__

   -  `Dark Matter
      Graphics <https://lsstdarkmatter.github.io/dark-matter-graph>`__ -
      This graphic is intended to help conceptually organize the LSST
      dark matter program and to serve as a road map for future
      scientific investigations.

LSST Dark Energy Science Collaboration
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

-  `LSST Dark Energy Science Collaboration <https://lsstdesc.org/>`__

   -  LSST DESC is the large international collaboration that will make
      high accuracy measurements of fundamental cosmological parameters
      using data from the Large Synoptic Survey Telescope
   -  `LSST DESC Science
      Roadmap <https://lsstdesc.org/assets/pdf/docs/DESC_SRM_latest.pdf>`__
   -  `LSST Dark Energy
      School <https://lsstdesc.org/pages/DESchool.html>`__

Social Media
~~~~~~~~~~~~

-  `LSST Youtube
   Channel <https://www.youtube.com/channel/UCoKgqaxFrkwnffyfyhKhC2w>`__
-  `LSST Twitter Handle <https://twitter.com/lsst?lang=en>`__
-  `LSST
   LinkedIn <https://www.linkedin.com/company/large-synoptic-survey-telescope-lsst->`__

Important Documents:
--------------------

-  `LSST Science Book Version
   2.0 <https://www.lsst.org/scientists/scibook>`__

   -  596 pages, over 50 Mb. The `arXiv version is
      here <https://arxiv.org/abs/0912.0201>`__

-  `Science-Driven Optimization of the LSST Observing
   Strategy <https://arxiv.org/abs/1708.04058>`__

   -  The GitHub repo is
      `here <https://github.com/LSSTScienceCollaborations/ObservingStrategy>`__

-  `Summary of Data Management
   Principles <https://docushare.lsstcorp.org/docushare/dsweb/Get/LPM-151/>`__
-  `Data Products Definition
   Document <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-163/>`__

Important Publications:
~~~~~~~~~~~~~~~~~~~~~~~

-  `LSST: from Science Drivers to Reference Design and Anticipated Data
   Products <https://arxiv.org/abs/0805.2366>`__
-  `Probing the Fundamental Nature of Dark Matter with the Large
   Synoptic Survey Telescope <https://arxiv.org/abs/1902.01055>`__

Planning and Scheduling Observations:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

-  `A Framework for Telescope Schedulers: With Applications to the Large
   Synoptic Survey
   Telescope <https://ui.adsabs.harvard.edu/abs/2019AJ....157..151N/abstract>`__
-  `Optimizing the LSST Observing Strategy for Dark Energy Science: DESC
   Recommendations for the Wide-Fast-Deep
   Survey <https://arxiv.org/abs/1812.00515>`__
-  `LSST Target-of-opportunity Observations of Gravitational-wave
   Events: Essential and
   Efficient <https://ui.adsabs.harvard.edu/abs/2019ApJ...874...88C/abstract>`__
-  `The Prospects of Observing Tidal Disruption Events with the
   LSST <https://arxiv.org/abs/1906.08235>`__

Technical Papers:
^^^^^^^^^^^^^^^^^

-  `An Overview of the LSST Image Processing
   Pipelines <https://ui.adsabs.harvard.edu/abs/2018arXiv181203248B/abstract>`__
-  `Models and Simulations for the Photometric LSST Astronomical Time
   Series Classification Challenge
   (PLAsTiCC) <https://ui.adsabs.harvard.edu/abs/2019arXiv190311756K/abstract>`__
-  `DESCQA: An Automated Validation Framework for Synthetic Sky
   Catalogs <https://ui.adsabs.harvard.edu/abs/2018ApJS..234...36M/abstract>`__

Synergy with Other Projects
^^^^^^^^^^^^^^^^^^^^^^^^^^^

-  `Enhancing LSST Science with Euclid
   Synergy <https://arxiv.org/abs/1904.10439>`__
-  `The Gaia-LSST Synergy: resolved stellar populations in selected
   Local Group stellar
   systems <https://ui.adsabs.harvard.edu/abs/2018arXiv181203298C/abstract>`__

Need for Spectroscopy
^^^^^^^^^^^^^^^^^^^^^

-  `Deep Multi-object Spectroscopy to Enhance Dark Energy Science from
   LSST <https://ui.adsabs.harvard.edu/abs/2019BAAS...51c.358N/abstract>`__
-  `Single-object Imaging and Spectroscopy to Enhance Dark Energy
   Science from
   LSST <https://ui.adsabs.harvard.edu/abs/2019BAAS...51c.369H/abstract>`__
-  `Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science
   from
   LSST <https://ui.adsabs.harvard.edu/abs/2019BAAS...51c.363M/abstract>`__

Science and System Requirements:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

-  `Science Requirements
   Document <https://docushare.lsstcorp.org/docushare/dsweb/Get/LPM-17>`__
-  `LSST System Requirements
   (LSR) <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-29>`__
-  `Observatory System Specifications
   (OSS) <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-30>`__
-  `Data Management System (DMS)
   Requirements <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-61>`__
-  `Telescope and Site (TS)
   Requirements <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-60>`__
-  `Camera Subsystem
   Requirements <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-59>`__
-  `Observatory Control System
   Requirements <https://docushare.lsstcorp.org/docushare/dsweb/Get/LSE-62>`__

Policy and Community
~~~~~~~~~~~~~~~~~~~~

-  `LSST Community Guidelines <https://community.lsst.org/faq>`__
-  `LSST Communications Code of
   Conduct <https://docushare.lsstcorp.org/docushare/dsweb/Get/Document-24920>`__
-  `LSST Meetings Code of
   Conduct <https://docushare.lsst.org/docushare/dsweb/Get/Document-28973/NoContent2461049852211920670.txt>`__
-  `Bullying and Harassment Complaints Procedural
   Manual <https://docushare.lsstcorp.org/docushare/dsweb/Get/LPM-171/BullyingHarassmentComplaintsProcedure.pdf>`__
-  `Template for Science Collaboration Publication
   Policy <https://docushare.lsstcorp.org/docushare/dsweb/Get/Document-17995/>`__
-  `How to Cite LSST
   Papers <https://github.com/lsst-pst/LSSTreferences/>`__

Software and Pipeline:
----------------------

-  `The LSST Science Pipelines <https://pipelines.lsst.io/>`__

   -  `GitHub Repositories <https://github.com/lsst>`__
   -  `LSST Documentation Hub <https://www.lsst.io/>`__
   -  `Doxygen
      Documents <http://doxygen.lsst.codes/stack/doxygen/x_masterDoxyDoc/>`__
   -  `Documentation contribution
      guidelines <https://github.com/lsst/pipelines_lsst_io/blob/master/.github/CONTRIBUTING.rst>`__

-  `LSST Data Management Team Github
   Organization <https://github.com/lsst-dm>`__
-  `LSST Dark Energy Science Collaboration Github
   Organization <https://github.com/LSSTDESC>`__
-  `LSST Dark Matter Github
   Organization <https://github.com/lsstdarkmatter>`__

Important Components:
~~~~~~~~~~~~~~~~~~~~~

-  `afw: LSST data management: pipeline library code and primitives
   including images and tables <https://github.com/lsst/afw>`__
-  `lsst-build: a builder and continuous integration tool for
   LSST <https://github.com/lsst/lsst_build>`__
-  `pipe_base: LSST Data Management: base classes for data processing
   tasks <https://github.com/lsst/pipe_base>`__
-  `pipe_tasks: LSST Data Management: astronomical data processing
   tasks <https://github.com/lsst/pipe_tasks>`__
-  `pipe_drivers: LSST Data Management: high level task coordination
   scripts <https://github.com/lsst/pipe_drivers>`__
-  `daf_butler: Prototype for data access framework described in
   DMTN-056 <https://github.com/lsst/daf_butler>`__
-  `daf_persistence: Data access interface (the Butler) and deprecated
   persistence framework for LSST Data
   Management <https://github.com/lsst/daf_persistence>`__
-  `daf_base: Low-level data structures, including memory-management
   helpers (Citizen), mappings (PropertySet, PropertyList), and
   DateTime <https://github.com/lsst/daf_base>`__
-  `skymap: Sky pixelization interfaces and implementations used by LSST
   Data Management <https://github.com/lsst/skymap>`__
-  `jointcal: Simultaneous astrometry and
   photometry <https://github.com/lsst/jointcal>`__
-  `meas_mosaic: determine consistent astrometry and photometry for
   multiple images <https://github.com/lsst/meas_mosaic>`__
-  `meas_modelfit: LSST Data Management: model fitting
   algorithms <https://github.com/lsst/meas_modelfit>`__
-  `meas_extentions_shapeHSM: LSST Data Management: HSM shape
   measurement <https://github.com/lsst/meas_extensions_shapeHSM>`__
-  `meas_extensions_psfex: LSST Data Management: PSF
   Estimation <https://github.com/lsst/meas_extensions_psfex>`__
-  `meas_base: LSST Data Management: core astronomical measurement
   algorithms <https://github.com/lsst/meas_base>`__
-  `meas_algorithms: LSST Data Management: astronomical measurement
   algorithm <https://github.com/lsst/meas_algorithms>`__
-  `meas_deblender: LSST Data Management: astronomical source
   deblender <https://github.com/lsst/meas_deblender>`__
-  `meas_astrom: LSST Data Management: astrometric measurement
   algorithms <https://github.com/lsst/meas_astrom>`__
-  `ip_isr: LSST data management: instrument signature removal
   (detrending) for astronomical
   images <https://github.com/lsst/ip_isr>`__
-  `ip_diffim: LSST data management: astronomical image
   differencing <https://github.com/lsst/ip_diffim>`__
-  `geom: Low-level geometry primitives for LSST Data
   Management <https://github.com/lsst/geom>`__
-  `coadd_utils: LSST data management: base classes for coadding
   (stacking) astronomical
   images <https://github.com/lsst/coadd_utils>`__
-  `throughputs: LSST Simulations repository for baseline evaluation
   information <https://github.com/lsst/throughputs>`__

Simulation Related:
~~~~~~~~~~~~~~~~~~~

-  `imSim: GalSim based Large Synoptic Survey Telescope (LSST) image
   simulation package <https://github.com/LSSTDESC/imSim>`__

   -  It produces simulated images from the 3.25 Gigapixel camera which
      are suitable to be processed through the LSST Data Management
      pipeline.

-  `phoSim: Photon
   Simulator <https://bitbucket.org/phosim/phosim_release/wiki/Home>`__

   -  A set of extremely fast photon Monte Carlo codes used to calculate
      the physics of the atmosphere and a telescope & camera in order to
      simulate realistic optical/IR astronomical images.

-  `sims_utils: LSST Simulations package for simulation utility
   functions <https://github.com/lsst/sims_utils>`__
-  `sims_photUtils: LSST Simulations package for photometric utility
   functions <https://github.com/lsst/sims_photUtils>`__
-  `sims_survey_fields: A package for retrieving LSST survey
   fields <https://github.com/lsst/sims_survey_fields>`__
-  `sims_skybrightness: Tool to predict the background sky emission SED
   at an arbitrary RA, Dec, and
   MJD <https://github.com/lsst/sims_skybrightness>`__

Useful Resources
~~~~~~~~~~~~~~~~

-  `Calculating LSST limiting magnitudes and
   SNR <https://smtn-002.lsst.io/#data-sources-and-references>`__

-  `Simulation Survey Field
   Information <https://sims-survey-fields.lsst.io/index.html#>`__

   -  This package contains the sky field information that is used by
      the Operations Simulator.