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Project & Community Workshop 2023
7-11, August 2023 | Marriott University Park Tucson | Tucson, AZ
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Rubin tools applied to DECam (and other precursor data sets)
We will discuss the application of Rubin data reduction tools, particularly the data management pipelines, to community scientific data sets collected on other wide-field imaging instruments such as DECam and HSC. This session will include invited talks by Project and community members, and conclude with a group discussion. An envisioned outcome of this session is a synthesis of lessons learned and the exchange of ideas about future plans for applications of the LSST pipelines to precursor data sets.
agenda:
- Shenming Fu (NOIRLab) - LoVoCCS and DECam multi-messenger astrophysics pipelines (15 minutes)
- Yusra AlSayyad (Princeton) - Pipelines Algorithm/Development Perspective on Precursor Data (15 minutes)
- Meredith Rawls (UW) - DECam processing with ApPipe (15 minutes)
- Lee Kelvin (Princeton) - Merian reductions with the LSST pipelines (15 minutes)
- group discussion (30 minutes)
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The National Science Foundation (NSF) and the US Department of Energy (DOE) will support Rubin Observatory in its operations phase to carry out the Legacy Survey of Space and Time. They will also provide support for scientific research with the data. During operations, NSF funding is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with NSF, and DOE funding is managed by SLAC National Accelerator Laboratory (SLAC), under contract by DOE. Rubin Observatory is operated by NSF's National Optical-Infrared Astronomy Research Laboratory (NOIRLab) and SLAC.
NSF is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
We are privileged to conduct research on Cerro Pachón in Chile, and acknowledge the Indigenous communities in Chile as the natural protectors of these lands.
Design by Zymphonies
Slides
mrawls
Thu, 08/10/2023 - 10:02
Permalink
Learning from DECam in AP
lskelvin
Thu, 08/10/2023 - 12:36
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Merian reductions with the LSST Science Pipelines
sfu
Thu, 08/10/2023 - 13:48
Permalink
LoVoCCS and DECam MMA pipelines
aaron.meisner
Thu, 08/10/2023 - 15:59
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How DM Uses Precursor Datasets (Yusra AlSayyad)