Hambleton, K. and Bianco, F. and Clementini, G. and Dall’Ora, M. and Egeland, R. and Hernitschek, N. and Lund, M. B. and Musella, I. and Prša, A. and Ripepi, V. and Stassun, K. G. and Street, R. A. and Szabó, R. (2020) Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Non-time-critical Science Cases. Research Notes of the AAS, 4 (3). Art. No. 40. ISSN 2515-5172. doi:10.3847/2515-5172/ab8129. https://resolver.caltech.edu/CaltechAUTHORS:20200325-093320785
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Abstract
Vera C. Rubin Observatory Legacy Survey of Space and Time, LSST, will revolutionize modern astronomy by producing an extremely deep (coadded depth ~27 mag) depth-limited survey of the entire southern sky (LSST Science Collaboration et al. 2009). The 8.4 m large-aperture, wide-field telescope, which is based in Cerro Pachón, will image the entire Southern sky every three nights in multiple bands (SDSS-u, g, r, i, z, y) and produce a fire-hose of data, 20 Tb each night, concluding in a 60 petabyte data set as the legacy of the 10 yr survey. Extracting meaningful light curves from variable objects requires difference imaging to both identify variability and calibrate light curve data products. Templates, co-added groups of visits that act as an image of the "static" sky, are a key component of Difference Imaging Analysis (DIA) and as such are of paramount importance for all science that involves variable objects. As the "non-time-critical" science cases discussed here are mostly periodic, they generally do not depend upon the survey alert stream; however, templates are still crucial for performing science and calibrations during the first year. We provide recommendations for observing strategies for template acquisition starting from commissioning and through Year 1 of the survey.
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Additional Information: | © 2020 The American Astronomical Society. Received 2020 March 11; Accepted 2020 March 18; Published 2020 March 24. | ||||||||||||||||||||||||||||
Group: | Infrared Processing and Analysis Center (IPAC) | ||||||||||||||||||||||||||||
Issue or Number: | 3 | ||||||||||||||||||||||||||||
DOI: | 10.3847/2515-5172/ab8129 | ||||||||||||||||||||||||||||
Record Number: | CaltechAUTHORS:20200325-093320785 | ||||||||||||||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200325-093320785 | ||||||||||||||||||||||||||||
Official Citation: | K. Hambleton et al 2020 Res. Notes AAS 4 40 | ||||||||||||||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||||||||||||||
ID Code: | 102104 | ||||||||||||||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||||||||||||||
Deposited By: | Tony Diaz | ||||||||||||||||||||||||||||
Deposited On: | 25 Mar 2020 17:00 | ||||||||||||||||||||||||||||
Last Modified: | 16 Nov 2021 18:08 |
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