Abstract
We explore the frontier of statistical computaional cosmology using the large imaging data delivered by Subaru Hyper-Suprime-Cam (HSC) Survey. The large sky usrvey is led by an international group and will utilizes the 8.3-meter telescope Subaru for 300 nights during the period of 2014 to 2019. Deep images of a large fraction of sky over one thousand square degrees will be collected. Our objectives here are of two folds: we analyse the images of about a half billion galaxies to reconstruct the distribution of cosmic dark matter, and we detect a few hundred supernovae that can be used as distance indicators. Combined together, these two data will enable us to derive fundamental parameters, the so-called cosmological paramaters, and to predict the evolution of the universe to the future.
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References
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Yoshida, N. (2015). A Large Sky Survey Project and the Related Big Data Analysis. In: Chu, W., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2015. Lecture Notes in Computer Science, vol 8999. Springer, Cham. https://doi.org/10.1007/978-3-319-16313-0_16
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DOI: https://doi.org/10.1007/978-3-319-16313-0_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16312-3
Online ISBN: 978-3-319-16313-0
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