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The ACS Virgo Cluster Survey. II. Data Reduction Procedures
Author(s) -
Andrés Jordán,
John P. Blakeslee,
Eric W. Peng,
S. Mei,
Patrick Côté,
Laura Ferrarese,
J. Tonry,
David Merritt,
Miloš Milosavljević,
Michael J. West
Publication year - 2004
Publication title -
the astrophysical journal supplement series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.546
H-Index - 277
eISSN - 1538-4365
pISSN - 0067-0049
DOI - 10.1086/422977
Subject(s) - virgo cluster , globular cluster , hubble space telescope , cluster (spacecraft) , galaxy , data reduction , advanced camera for surveys , physics , computation , computer science , galaxy cluster , astronomy , algorithm , data mining , programming language
The ACS Virgo Cluster Survey is a large program to carry out multi-colorimaging of 100 early-type members of the Virgo Cluster using the AdvancedCamera for Surveys (ACS) on the Hubble Space Telescope. Deep F475W and F850LPimages (~ SDSS g and z) are being used to study the central regions of theprogram galaxies, their globular cluster systems, and the three-dimensionalstructure of Virgo itself. In this paper, we describe in detail the datareduction procedures used for the survey, including image registration,drizzling strategies, the computation of weight images, object detection, theidentification of globular cluster candidates, and the measurement of theirphotometric and structural parameters.

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