The Hyper Suprime-Cam Software Pipeline

By James F. Bosch, R. Armstrong, S. Bickerton, H. Furusawa, H. Ikeda, Michitaro Koike, Robert Lupton, S. Mineo, P. Price, T. Takata and 25 more. 2017

409 citations recorded by the source corpus.

In this paper, we describe the optical imaging data processing pipeline developed for the Subaru Telescope's Hyper Suprime-Cam (HSC) instrument. The HSC Pipeline builds on the prototype pipeline being developed by the Large Synoptic Survey Telescope's Data Management system, adding customizations for HSC, large-scale processing capabilities, and novel algorithms that have since been reincorporated into the LSST codebase. While designed primarily to reduce HSC Subaru Strategic Program (SSP) data, it is also the recommended pipeline for reducing general-observer HSC data. The HSC pipeline includes high level processing steps that generate coadded images and science-ready catalogs as well as low-level detrending and image characterizations.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Instrumentation

View Paper: https://www.semanticscholar.org/paper/80439b1fee2eb176ac6fc4e840837d0c9e549800

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Citations in the corpus

• Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey (2017, methodology): “As described in Bosch et al. (2018), hscPipe estimates the sky on a CCD-by-CCD basis by averaging pixels in 128 × 128 pixel grids, where pixels belonging to detected objects are ignored.”
• The SUrvey for Pulsars and Extragalactic Radio Bursts – II. New FRB discoveries and their follow-up. (2017, methodology): “The images taken on January 13 were used as the reference images and were subtracted from the images of January 7 and 10 using the HSC pipeline (Bosch et al. 2017).”
• Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data (2018, methodology): “The details of the software pipeline used to reduce the data are given in Bosch et al. (2018), and particulars about the accuracy of the photometry and the performance of the deblender are characterized using a synthetic imaging pipeline in Huang et al. (2018) and Murata et al. (in prep.)”
• Cosmological constraints from cosmic shear two-point correlation functions with HSC survey first-year data (2019, methodology): “Those TPCFs are computed using stars that were reserved from the PSF estimation (see Bosch et al. 2018, for details).”
• Systematic Identification of LAEs for Visible Exploration and Reionization Research Using Subaru HSC (SILVERRUSH). I. Program strategy and clustering properties of ∼2000 Lyα emitters at z = 6–7 over the 0.3–0.5 Gpc2 survey area (2017, methodology): “The data are reduced with the HSC pipeline software, hscPipe version 4.0.2 (Bosch et al. 2018).”