An Automated Software Package for the KISS Objective-Prism Survey for Emission-Line Galaxies. II. Recent Additions and Project Status

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We present an update on the KPNO International Spectroscopic Survey (KISS) project. KISS is a wide-field survey for extragalactic emission-line objects being carried out with the Burrell Schmidt at Kitt Peak. While we are utilizing the classical objective-prism technique to find strong-lined star-forming galaxies and AGNs, the use of CCD detectors and automated reduction software promise to make KISS a powerful tool for the study of activity in galaxies. We are currently completing our first survey strip (100 square degrees). The data consist of deep (to B = 20) objective-prism images, deep direct images in both B and V, and small-format photometric calibration images of each field. The KISS reduction package was designed to run under the IRAF image processing environment, and will eventually grow to be a complete IRAF package. Tasks added to the package over the past year include precise astrometry and photometry modules. The astrometry routines utilize the HST Guide Star Catalog to perform a full plate solution on the direct image of each Schmidt field, and then assign accurate equatorial coordinates to each object in the field. The photometry module performs aperture photometry on the direct images for all objects in the KISS database catalog, and provides routines to transfer the photometry calibration from the small-format images taken under photometric conditions to the large-format survey images. Extensive tests and modifications have also been carried out on the pre-existing software described by Herrero & Salzer (1995) in order to better fine-tune the reduction procedures and parameter settings. In addition to presenting a complete description of the new software, we describe the current status of the survey and present some preliminary characteristics of the sample. Other members of the KISS project include V. Lipovetsky & A. Kniazev (S.A.O.), T. Boroson (NOAO/USGP), T. Thuan (U. Virginia), J. Moody (BYU), Y. Izotov (Ukrainian Acad. Sci.), and J. Herrero (CfA).

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