The LSST Project will host a workshop on the topic of image processing and algorithms for LSST. The aim of this workshop is to provide a forum for the presentation of the algorithmic challenges faced by LSST, and to solicit feedback and ideas as to how these algorithms can best meet the scientific needs of the community. Topics of discussion will include (but are not necessarily limited to): Calibration, Point Spread Function Estimation, Galaxy Photometry, Deblending & Crowded Fields, and Image Differencing. The workshop will include a combination of presentations from the Project on the current status of LSST algorithms and pipelines, with un-conference sessions scheduled to encourage open discussion.
Communicate the strategy for further development of LSST image processing algorithms to LSST stakeholders, seek their input to it, and hear any ideas they have about ramifications for science, or other approaches that maybe should be considered.
Ensure that the choice of LSST image processing algorithms reflects the current state of the art.
Demonstrate the current performance of LSST image processing pipelines, based on pre-cursor data, to the community.
Document the LSST algorithmic strategy for image processing, describe what LSST expects to deliver by the end of construction, and outline what further improvements should be prioritized during the first few years of operations.
Gary Bernstein (University of Pensylvannia)
Erin Sheldon (Brookhaven National Laboratory)
Eugene Magnier (Institute for Astronomy, University of Hawaii)
Mike Jarvis (University of Pensylvannia)
Konrad kuijken (Leiden Observatory)
.. coming soon
Chair: Leanne Guy (AURA/LSST)
Co-chair: Colin Slater (LSST, UW)
Eric Bellm (LSST, UW)
Jim Bosch (LSST, Princeton University)
Željko Ivezić (LSST, UW)
Robert Lupton (LSST, Princeton University)