Search

The science of the LSST will, in part, be driven by how it observes the sky(the footprint and cadence of the survey). I provide a brief overview of theongoing community and Project work on LSST observing strategy, andpointers for how to join this effort.

The Large Synoptic Survey Telescope (LSST) is an 8-m optical ground-based telescope being constructed on Cerro Pachón in Chile. LSST will survey half the sky every few nights in six optical bands. The data will be transferred to NCSA and within 60 seconds they will be reduced using difference imaging techniques and detected transients will be announced to the community in the VOEvent format. Annual data releases will be made from all the data during the 10-year mission, with unprecedented depth of coadds and time resolution of catalogs for such a large region of sky. Here we present the current status of the data processing software, and describe how to obtain it.&nbsp

This presentation describes the LSST Science Collaborations and how to become involved.

This presentation describes the Large Synoptic Survey Telescope goals, the data products, the current status of construction and how to become involved.

The LSST Corporation is a not-for-profit501(c)3Arizona corporation created to initiate the LSST project in order to advance the science of astronomy and physics. This presentation describes the role and objectives of LSSTC and how the science collaborations can be supported.

The Large Synoptic Survey Telescope will be a 8.4m survey telescope with a 3.2 gigapixel camera. This talk provides an overview of the LSST survey and indicates how the project intends to interface with the Virtual Observatory. Key technologies being examinedinclude the VOEvent standard, Table Access Protocol (TAP), Simple Cone Search (SCS)and Simple Image Acess protocols.

This presentation provides an overview of the efforts to test the performance of the LSST Data Management science pipelines software ("stack") usinga number of precursor "verification" datasets.

The Large Synoptic Survey Telescope (LSST; http://lsst.org) is aplanned, large-aperture, wide-field, ground-based telescope thatwill survey half the sky every few nights in six optical bands from320 to 1050 nm. It will explore a wide range of astrophysicalquestions, ranging from discovering “killer” asteroids, to examiningthe nature of dark energy. The LSST will produce on average 15 terabytes of data per night,yielding an (uncompressed) data set of over 100 petabytes at theend of its 10-year mission. To enable the wide variety of plannedscience, the LSST Project is leading the construction of a new,general-purpose, high-performance, scalable, well documented,open source data processing software stack for O/IR surveys.Prototypes of this stack are already capable of processing datafrom existing cameras (e.g., SDSS, DECam, MegaCam), and formthe basis of the Hyper Supreme-Cam (HSC) Survey data reductionpipeline. In the 2020-ies, running on dedicated HPC facilities, thissystem will enable us to process the LSST data stream in near realtime, with full-dataset reprocessings on annual scale. In this talk, I will review the science goals and the technical designof the LSST, focusing on the data management system, itsarchitecture, the software stack, and the products it will generate. Iwill discuss the exciting opportunities it presents for LSST, and theastronomical software community as a whole. More broadly, I willalso discuss implications of petascale data sets for astronomy inthe 2020s, and ways in which the astronomical community canprepare to make the best use of them. &nbsp

The Large Synoptic Survey Telescope (LSST) is an 8-m optical ground-based telescope being constructed on Cerro Pachon in Chile. LSST will survey half the sky every few nights in six optical bands. The data will be transferred to NCSA and within 60 seconds they will be reduced using difference imaging techniques and detected transients will be announced to the community in the VOEvent format. Annual data releases will be made from all the data during the 10-year mission, with unprecedented depth of coadds and time resolution of catalogs for such a large region of sky. In this paper we present the current status of the data processing software, and describe how to obtain it., Comment: 4 pages, poster paper presented at the Astronomical Data Analysis Software and Systems XXV Conference held in October 2015 in Sydney, Australia

Estimation of the background is an essential step in automated extraction of faint, extended objects from large-scale, optical surveys in astronomy. In this paper we present an improvement on the background estimation method of a commonly used tool in this field: Source Extractor (SEx-tractor). We show that the original method suffers from bias caused by presence of extended sources, and present an alternative which greatly reduces this effect, leading to much better preservation of faint extended structures.