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| Sloan Supernova Survey | |
|---|---|
| Name | Sloan Supernova Survey |
| Location | Apache Point Observatory, New Mexico |
| Established | 2005 |
| Telescope | 2.5 m Sloan Digital Sky Survey Telescope |
| Operator | Sloan Digital Sky Survey Collaboration |
Sloan Supernova Survey
The Sloan Supernova Survey conducted wide-field transient searches using the Sloan Digital Sky Survey 2.5-meter telescope at Apache Point Observatory in New Mexico and produced large samples of Type Ia supernovae and other transients. The survey informed cosmological constraints alongside programs such as the Supernova Legacy Survey, ESSENCE project, SNfactory, and the High-Z Supernova Search Team while integrating with projects at institutions like Lawrence Berkeley National Laboratory, Fermi National Accelerator Laboratory, University of Oxford, Harvard University, Princeton University, and Columbia University.
The survey used the Sloan Digital Sky Survey imaging camera and photometric system to discover transients across large sky areas, enabling follow-up spectroscopy at facilities including the Apache Point Observatory 3.5 m Telescope, Keck Observatory, Very Large Telescope, and the Gemini Observatory. The program produced light curves and spectroscopic classifications leveraged by teams at University of Chicago, University of Pennsylvania, University of California, Berkeley, California Institute of Technology, Max Planck Institute for Astrophysics, European Southern Observatory, and Space Telescope Science Institute.
Initial conceptual work drew on experience from the Sloan Digital Sky Survey legacy imaging and was formalized as part of the SDSS-II initiative, joining legacy efforts from groups at Lawrence Berkeley National Laboratory and Fermi National Accelerator Laboratory. Principal investigators and collaborators included scientists affiliated with University of Washington, University of Toronto, Yale University, Rutgers University, and University of Michigan. The survey timeline intersected with milestones like the publication of early Type Ia standardization relations by teams at Carnegie Institution for Science and the announcement of accelerated expansion by the Supernova Cosmology Project and the High-Z Supernova Search Team.
The observing strategy built on the Sloan Digital Sky Survey drift-scan and repeat-imaging techniques to monitor equatorial stripe fields overlapping legacy surveys and programs coordinated with Catalina Real-Time Transient Survey and the Palomar Transient Factory. Filters matched the SDSS ugriz system established by collaborations among Fermilab, Apache Point Observatory, University of Chicago, and instrument teams from Stanford University. Cadence, depth, and field selection were optimized to detect Type Ia supernovae at redshifts complementary to High-Z Supernova Search Team and Supernova Legacy Survey ranges, facilitating cross-calibration with spectroscopic resources from Keck Observatory, Magellan Telescopes, and Subaru Telescope.
Image subtraction and transient identification pipelines incorporated software developed by groups at Lawrence Berkeley National Laboratory, Fermilab, and University of Washington, integrating with spectroscopic classification efforts undertaken at University of Oxford and Harvard-Smithsonian Center for Astrophysics. Photometric calibration leveraged the SDSS standard star network tied to work from US Naval Observatory and calibration programs at Cerro Tololo Inter-American Observatory. Machine-assisted classification frameworks were informed by algorithms later used in projects at Pan-STARRS, Zwicky Transient Facility, and LSST Science Collaboration planning, while spectroscopic typing involved observers from University of California, Santa Cruz, University of Arizona, and University of Hawaii.
The survey delivered large, homogeneous samples of Type Ia supernovae that constrained cosmological parameters alongside results from the Wilkinson Microwave Anisotropy Probe and later the Planck mission, refining measurements of dark energy in concert with teams from Supernova Legacy Survey and ESSENCE project. Results influenced stellar population studies at institutions like Max Planck Institute for Astrophysics and informed progenitor channel debates involving work from Carnegie Institution for Science and Space Telescope Science Institute. The dataset enabled ancillary science including transient rate measurements used by the Palomar Transient Factory and host-galaxy correlations explored by collaborators at Yale University, University of Pittsburgh, Pennsylvania State University, and University of Illinois Urbana-Champaign.
The program was embedded within the broader SDSS-II framework and collaborated with spectroscopic and photometric teams across institutions such as Lawrence Berkeley National Laboratory, Fermilab, Harvard University, Princeton University, University of Oxford, University of Tokyo, and Max Planck Institute for Astronomy. Cross-survey comparisons were performed with datasets from Supernova Legacy Survey, ESSENCE project, SNfactory, Carnegie Supernova Project, Pan-STARRS, and archival resources from Hubble Space Telescope. The survey infrastructure and methods influenced transient discovery systems later adopted by Zwicky Transient Facility and the Vera C. Rubin Observatory preparations by the LSST Science Collaboration.
Data products, light curves, and classifications were released through SDSS data releases, enabling reuse by researchers at Space Telescope Science Institute, European Southern Observatory, Max Planck Institute for Astrophysics, University of Chicago, and many universities. The legacy includes calibration standards and pipeline approaches that informed follow-up strategies at Keck Observatory, Gemini Observatory, Magellan Telescopes, and planning activities at the Vera C. Rubin Observatory. Ongoing analysis by teams at University of California, Berkeley, Princeton University, Harvard University, and Lawrence Berkeley National Laboratory continues to extract cosmological and astrophysical constraints from the survey archives.
Category:Astronomical surveys