NOAO >   Observing Info >   Approved Programs >   2016B-0148

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Program Information for 2016B-0148


PI: Marjorie Decleir, Ghent University, marjorie.decleir@ugent.be
Address: Physics Department, Krijgslaan 281, S9, Gent 9000 Belgium

CoI: Ilse De Looze, University College London
CoI: Maarten Baes, Ghent University
CoI: Robert C Kennicutt, Jr, University of Cambridge
CoI: Daniela Calzetti, U. Mass
CoI: Daniel A Dale, U. of Wyoming
CoI: Mederic Boquien, Universidad de Antofagasta

Title: Optical ugriz mapping of SINGS/KINGFISH galaxies

Abstract: We propose a detailed study of the variation in the dust attenuation curve in the SINGS/KINGFISH sample, one of the best studied samples of local galaxies. We will model the ultraviolet to near-infrared spectrum with our stellar population synthesis code to constrain the dust attenuation curve on resolved scales of 100 pc. The variations in the shape of the dust attenuation law for this sample of resolved regions will allow us to better understand the variation of dust properties with galactic environment, metal abundance and galaxy type. Knowledge on the dust component is vital to recover the intrinsic stellar spectrum of galaxies across the Universe. Due to the lack of a complete dataset for all sample galaxies, spectral energy distribution (SED) models are incapable of characterizing the star formation history and retrieving the shape of the dust attenuation curve due to model degeneracies. To have a homogeneous and uniform dataset for all SINGS/KINGFISH galaxies, we apply for optical ugriz observations for 16 galaxies and u-band data for 12 galaxies. Such a complete dataset for the SINGS/KINGFISH sample will have a great legacy value.

Program Type: Long Term/Extragalactic

Scheduled Nights:
Run 1 (2016B):  CT-0.9m/CFIM -- 3n on Oct 08 - Oct 10 2016
Run 1 (2017A):  CT-0.9m/CFIM -- 3n on Mar 22 - Mar 24 2017
Run 2 (2016B):  KP-0.9m/HDI -- 3n on Dec 26 - Dec 28 2016
Run 2 (2017A):  KP-0.9m/HDI -- 4n on Mar 31 2017, Apr 04 - Apr 06 2017


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NOAO >   Observing Info >   Approved Programs >   2016B-0148

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