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Nova · Professor Researcher · re-ranking top 20…
Robert Lupton

Robert Lupton

Verified

Princeton University · Astronomy

Active 1982–2024

h-index135
Citations93.9k
Papers41252 last 5y
Funding
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Research topics

  • Astronomy
  • Physics
  • Astrophysics
  • Computer Science
  • Geodesy
  • Computer graphics (images)
  • Remote sensing
  • Astrobiology
  • Geology
  • Statistics

Selected publications

  • Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear power spectra

    Physical review. D/Physical review. D. · 2023 · 184 citations

    • Physics
    • Astrophysics
    • Astronomy

    A new analysis of the distribution of matter in the Universe continues to find a discrepancy in the clumpiness of dark matter in the late and early Universe, suggesting a fundamental error in the standard cosmological model.

  • The LSST DESC DC2 Simulated Sky Survey

    The Astrophysical Journal Supplement Series · 2021 · 71 citations

    • Computer Science
    • Computer Science
    • Remote sensing

    We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) by the LSST Dark Energy Science Collaboration (LSST DESC). Significant connections across multiple science domains will be a hallmark of LSST; the DC2 program represents a unique modeling effort that stresses this interconnectivity in a way that has not been attempted before. This effort encompasses a full end-to-end approach: starting from a large N-body simulation, through setting up LSST-like observations including realistic cadences, through image simulations, and finally processing with Rubin's LSST Science Pipelines. This last step ensures that we generate data products resembling those to be delivered by the Rubin Observatory as closely as is currently possible. The simulated DC2 sky survey covers six optical bands in a wide-fast-deep area of approximately 300 deg2, as well as a deep drilling field of approximately 1 deg2. We simulate 5 yr of the planned 10 yr survey. The DC2 sky survey has multiple purposes. First, the LSST DESC working groups can use the data set to develop a range of DESC analysis pipelines to prepare for the advent of actual data. Second, it serves as a realistic test bed for the image processing software under development for LSST by the Rubin Observatory. In particular, simulated data provide a controlled way to investigate certain image-level systematic effects. Finally, the DC2 sky survey enables the exploration of new scientific ideas in both static and time domain cosmology.\n\n

  • Third data release of the Hyper Suprime-Cam Subaru Strategic Program

    Publications of the Astronomical Society of Japan · 2021 · 330 citations

    • Physics
    • Astronomy
    • Astrophysics

    Abstract This paper presents the third data release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP), a wide-field multi-band imaging survey with the Subaru 8.2 m telescope. HSC-SSP has three survey layers (Wide, Deep, and UltraDeep) with different area coverages and depths, designed to address a wide array of astrophysical questions. This third release from HSC-SSP includes data from 278 nights of observing time and covers about 670 deg2 in all five broad-band filters (grizy) at the full depth (∼26 mag at 5σ depending on filter) in the Wide layer. If we include partially observed areas, the release covers 1470 deg2. The Deep and UltraDeep layers have $\sim\! 80\%$ of the originally planned integration times, and are considered done, as we have slightly changed the observing strategy in order to compensate for various time losses. There are a number of updates in the image processing pipeline. Of particular importance is the change in the sky subtraction algorithm; we subtract the sky on small scales before the detection and measurement stages, which has significantly reduced the number of false detections. Thanks to this and other updates, the overall quality of the processed data has improved since the previous release. However, there are limitations in the data (for example, the pipeline is not optimized for crowded fields), and we encourage the user to check the quality assurance plots as well as a list of known issues before exploiting the data. The data release website is 〈https://hsc-release.mtk.nao.ac.jp〉.

Frequent coauthors

Education

  • PhD

    Princeton University

    1985
  • ba

    University of Cambridge

    1979
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