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Galaxy And Mass Assembly : accurate panchromatic photometry from optical priors using LAMBDAR

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Driver_2016_MNRAS_LAMBDAR_FinalPubVersion.pdf (29.24Mb)
Date
21/07/2016
Author
Wright, A. H.
Robotham, A. S G
Bourne, N.
Driver, S. P.
Dunne, L.
Maddox, S. J.
Alpaslan, M.
Andrews, S. K.
Bauer, A. E.
Bland-Hawthorn, J.
Brough, S.
Brown, M. J. I.
Clarke, C.
Cluver, M.
Davies, L. J. M.
Grootes, M. W.
Holwerda, B. W.
Hopkins, A. M.
Jarrett, T. H.
Kafle, P. R.
Lange, R.
Liske, J.
Loveday, J.
Moffett, A. J.
Norberg, P.
Popescu, C. C.
Smith, M.
Taylor, E. N.
Tuffs, R. J.
Wang, L.
Wilkins, S. M.
Keywords
Astronomical data bases: miscellaneous
Galaxies: evolution
Galaxies: general
Galaxies: photometry
Techniques: photometric
QB Astronomy
Space and Planetary Science
Astronomy and Astrophysics
DAS
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Abstract
We present the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR), a novel code for calculating matched aperture photometry across images that are neither pixel- nor PSF-matched, using prior aperture definitions derived from high-resolution optical imaging. The development of this program is motivated by the desire for consistent photometry and uncertainties across large ranges of photometric imaging, for use in calculating spectral energy distributions. We describe the program, specifically key features required for robust determination of panchromatic photometry: propagation of apertures to images with arbitrary resolution, local background estimation, aperture normalization, uncertainty determination and propagation, and object deblending. Using simulated images, we demonstrate that the program is able to recover accurate photometric measurements in both high-resolution, low-confusion, and low-resolution, high-confusion, regimes. We apply the program to the 21-band photometric data set from the Galaxy And Mass Assembly (GAMA) Panchromatic Data Release (PDR; Driver et al. 2016), which contains imaging spanning the far-UV to the far-IR. We compare photometry derived from LAMBDAR with that presented in Driver et al. (2016), finding broad agreement between the data sets. None the less, we demonstrate that the photometry from LAMBDAR is superior to that from the GAMA PDR, as determined by a reduction in the outlier rate and intrinsic scatter of colours in the LAMBDAR data set. We similarly find a decrease in the outlier rate of stellar masses and star formation rates using LAMBDAR photometry. Finally, we note an exceptional increase in the number of UV and mid-IR sources able to be constrained, which is accompanied by a significant increase in the mid-IR colour-colour parameter-space able to be explored.
Citation
Wright , A H , Robotham , A S G , Bourne , N , Driver , S P , Dunne , L , Maddox , S J , Alpaslan , M , Andrews , S K , Bauer , A E , Bland-Hawthorn , J , Brough , S , Brown , M J I , Clarke , C , Cluver , M , Davies , L J M , Grootes , M W , Holwerda , B W , Hopkins , A M , Jarrett , T H , Kafle , P R , Lange , R , Liske , J , Loveday , J , Moffett , A J , Norberg , P , Popescu , C C , Smith , M , Taylor , E N , Tuffs , R J , Wang , L & Wilkins , S M 2016 , ' Galaxy And Mass Assembly : accurate panchromatic photometry from optical priors using LAMBDAR ' , Monthly Notices of the Royal Astronomical Society , vol. 460 , no. 1 , pp. 765-801 . https://doi.org/10.1093/mnras/stw832
Publication
Monthly Notices of the Royal Astronomical Society
Status
Peer reviewed
DOI
https://doi.org/10.1093/mnras/stw832
ISSN
0035-8711
Type
Journal article
Rights
© 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://dx.doi.org/10.1093/mnras/stw832
Description
AHW and SKA are supported by the Australian Government’s Department of Industry Australian Postgraduate Award (APA). SB acknowledges funding support from the Australian Research Council through a Future Fellowship (FT140101166). LD and SJM acknowledge support from the ERC in the form of the Advanced Investigator Program, COSMICISM, and the ERC Consolidator Grant CosmicDust. NB acknowledges funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 312725.
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  • University of St Andrews Research
URL
http://www.scopus.com/inward/record.url?scp=84979059335&partnerID=8YFLogxK
https://arxiv.org/abs/1604.01923v2
URI
http://hdl.handle.net/10023/9260

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