Testing LSST dither strategies for survey uniformity and large-scale structure systematics

The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022-2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the effects of telescope-pointing offsets (called dithers) on the r-band coadded 5σ depth yielded after the...

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Autores principales: Awan, Humna, Gawiser, Eric, Kurczynski, Peter, Jones, R. Lynne, Zhan, Hu, Padilla, Nelson D., Muñoz Arancibia, Alejandra M., Orsi, Álvaro, Cora, Sofía Alejandra, Yoachim, Peter
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/85923
Aporte de:
id I19-R120-10915-85923
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
Física
dark energy
large-scale structure of universe
surveys
spellingShingle Ciencias Astronómicas
Física
dark energy
large-scale structure of universe
surveys
Awan, Humna
Gawiser, Eric
Kurczynski, Peter
Jones, R. Lynne
Zhan, Hu
Padilla, Nelson D.
Muñoz Arancibia, Alejandra M.
Orsi, Álvaro
Cora, Sofía Alejandra
Yoachim, Peter
Testing LSST dither strategies for survey uniformity and large-scale structure systematics
topic_facet Ciencias Astronómicas
Física
dark energy
large-scale structure of universe
surveys
description The Large Synoptic Survey Telescope (LSST) will survey the southern sky from 2022-2032 with unprecedented detail. Since the observing strategy can lead to artifacts in the data, we investigate the effects of telescope-pointing offsets (called dithers) on the r-band coadded 5σ depth yielded after the 10-year survey. We analyze this survey depth for several geometric patterns of dithers (e.g., random, hexagonal lattice, spiral) with amplitudes as large as the radius of the LSST field of view, implemented on different timescales (per season, per night, per visit). Our results illustrate that per night and per visit dither assignments are more effective than per season assignments. Also, we find that some dither geometries (e.g., hexagonal lattice) are particularly sensitive to the timescale on which the dithers are implemented, while others like random dithers perform well on all timescales. We then model the propagation of depth variations to artificial fluctuations in galaxy counts, which are a systematic for LSS studies. We calculate the bias in galaxy counts caused by the observing strategy accounting for photometric calibration uncertainties, dust extinction, and magnitude cuts; uncertainties in this bias limit our ability to account for structure induced by the observing strategy. We find that after 10 years of the LSST survey, the best dither strategies lead to uncertainties in this bias that are smaller than the minimum statistical floor for a galaxy catalog as deep as r < 27.5. A few of these strategies bring the uncertainties close to the statistical floor for r < 25.7 after the first year of survey.
format Articulo
Articulo
author Awan, Humna
Gawiser, Eric
Kurczynski, Peter
Jones, R. Lynne
Zhan, Hu
Padilla, Nelson D.
Muñoz Arancibia, Alejandra M.
Orsi, Álvaro
Cora, Sofía Alejandra
Yoachim, Peter
author_facet Awan, Humna
Gawiser, Eric
Kurczynski, Peter
Jones, R. Lynne
Zhan, Hu
Padilla, Nelson D.
Muñoz Arancibia, Alejandra M.
Orsi, Álvaro
Cora, Sofía Alejandra
Yoachim, Peter
author_sort Awan, Humna
title Testing LSST dither strategies for survey uniformity and large-scale structure systematics
title_short Testing LSST dither strategies for survey uniformity and large-scale structure systematics
title_full Testing LSST dither strategies for survey uniformity and large-scale structure systematics
title_fullStr Testing LSST dither strategies for survey uniformity and large-scale structure systematics
title_full_unstemmed Testing LSST dither strategies for survey uniformity and large-scale structure systematics
title_sort testing lsst dither strategies for survey uniformity and large-scale structure systematics
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/85923
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