Large Synoptic Survey Telescope (LSST)¶
- Opening a Window of Discovery on the Dynamic Universe
Basic Information:¶
- LSST Organization Website
- LSST Community Forum
- The LSST Corporation (LSSTC)
- 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
- LSST Data Management on Zenodo
- LSST Camera Website at SLAC
- LSST Science Advisory Committee
- NOAO & Large Synoptic Survey Telescope (LSST)
LSST Science Collaborations¶
- Galaxies Collaboration
- Stars, Milky Way, and Local Volume
- Solar System Collaboration
- Dark Energy Collaboration
- Active Galactic Nuclei Collaboration
- Transients and Variable Stars Collaboration
- Strong Lensing Collaboration
- Informatics and Statistics Collaboration
LSST Dark Matter¶
- LSST Dark Matter - Probing the fundamental physics of dark matter
with LSST
- Dark Matter Graphics - 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
- 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
- LSST Dark Energy School
Important Documents:¶
- LSST Science Book Version
2.0
- 596 pages, over 50 Mb. The arXiv version is here
- Science-Driven Optimization of the LSST Observing
Strategy
- The GitHub repo is here
- Summary of Data Management Principles
- Data Products Definition Document
Important Publications:¶
- LSST: from Science Drivers to Reference Design and Anticipated Data Products
- Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope
Planning and Scheduling Observations:¶
- A Framework for Telescope Schedulers: With Applications to the Large Synoptic Survey Telescope
- Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey
- LSST Target-of-opportunity Observations of Gravitational-wave Events: Essential and Efficient
- The Prospects of Observing Tidal Disruption Events with the LSST
Technical Papers:¶
Synergy with Other Projects¶
Science and System Requirements:¶
Software and Pipeline:¶
- The LSST Science Pipelines
- LSST Data Management Team Github Organization
- LSST Dark Energy Science Collaboration Github Organization
- LSST Dark Matter Github Organization
Important Components:¶
- afw: LSST data management: pipeline library code and primitives including images and tables
- lsst-build: a builder and continuous integration tool for LSST
- pipe_base: LSST Data Management: base classes for data processing tasks
- pipe_tasks: LSST Data Management: astronomical data processing tasks
- pipe_drivers: LSST Data Management: high level task coordination scripts
- daf_butler: Prototype for data access framework described in DMTN-056
- daf_persistence: Data access interface (the Butler) and deprecated persistence framework for LSST Data Management
- daf_base: Low-level data structures, including memory-management helpers (Citizen), mappings (PropertySet, PropertyList), and DateTime
- skymap: Sky pixelization interfaces and implementations used by LSST Data Management
- jointcal: Simultaneous astrometry and photometry
- meas_mosaic: determine consistent astrometry and photometry for multiple images
- meas_modelfit: LSST Data Management: model fitting algorithms
- meas_extentions_shapeHSM: LSST Data Management: HSM shape measurement
- meas_extensions_psfex: LSST Data Management: PSF Estimation
- meas_base: LSST Data Management: core astronomical measurement algorithms
- meas_algorithms: LSST Data Management: astronomical measurement algorithm
- meas_deblender: LSST Data Management: astronomical source deblender
- meas_astrom: LSST Data Management: astrometric measurement algorithms
- ip_isr: LSST data management: instrument signature removal (detrending) for astronomical images
- ip_diffim: LSST data management: astronomical image differencing
- geom: Low-level geometry primitives for LSST Data Management
- coadd_utils: LSST data management: base classes for coadding (stacking) astronomical images
- throughputs: LSST Simulations repository for baseline evaluation information
Useful Resources¶
- Calculating LSST limiting magnitudes and SNR
- Simulation Survey Field
Information
- This package contains the sky field information that is used by the Operations Simulator.
Social Media¶