2019A&A...621A.133B


Query : 2019A&A...621A.133B

2019A&A...621A.133B - Astronomy and Astrophysics, volume 621A, 133-133 (2019/1-1)

The missing light of the Hubble Ultra Deep Field.

BORLAFF A., TRUJILLO I., ROMAN J., BECKMAN J.E., ELICHE-MORAL M.C., INFANTE-SAINZ R., LUMBRERAS-CALLE A., DE ALMAGRO R.T.S.M., GOMEZ-GUIJARRO C., CEBRIAN M., DORTA A., CARDIEL N., AKHLAGHI M. and MARTINEZ-LOMBILLA C.

Abstract (from CDS):


Context. The Hubble Ultra Deep field (HUDF) is the deepest region ever observed with the Hubble Space Telescope. With the main objective of unveiling the nature of galaxies up to z∼7-8, the observing and reduction strategy have focused on the properties of small and unresolved objects, rather than the outskirts of the largest objects, which are usually over-subtracted.
Aims. We aim to create a new set of WFC3 IR mosaics of the HUDF using novel techniques to preserve the properties of the low surface brightness regions.
Methods. We created ABYSS: a pipeline that optimises the estimate and modelling of low-level systematic effects to obtain a robust background subtraction. We have improved four key points in the reduction: 1) creation of new absolute sky flat fields, 2) extended persistence models, 3) dedicated sky background subtraction and 4) robust co-adding.
Results. The new mosaics successfully recover the low surface brightness structure removed on the previous HUDF published reductions. The amount of light recovered with a mean surface brightness dimmer than µ-=26mag/arcsec2 is equivalent to a m=19mag source when compared to the XDF and a m=20mag compared to the HUDF12.
Conclusions. We present a set of techniques to reduce ultra-deep images (µ>32.5mag/arcsec2, 3σ in 10x10-arcsec boxes), that successfully allow us to detect the low surface brightness structure of extended sources on ultra deep surveys. The developed procedures are applicable to HST, JWST, EUCLID and many other space and ground-based observatories.

Abstract Copyright: © ESO 2019

Journal keyword(s): techniques: image processing - techniques: photometric - methods: observational - galaxies: evolution - galaxies: structure - galaxies: high-redshift

VizieR on-line data: <Available at CDS (J/A+A/621/A133): list.dat fits/*>

Simbad objects: 12

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Number of rows : 12
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2022
#notes
1 NGC 104 GlC 00 24 05.359 -72 04 53.20   5.78 4.09     ~ 3737 0
2 NAME GOODS Southern Field reg 03 32 28.0 -27 48 30           ~ 1201 1
3 NAME Chandra Deep Field-South reg 03 32 28.0 -27 48 30           ~ 1962 1
4 [SWM2014] GOODS-S 24622 G 03 32 37.308 -27 47 29.36 24.9177 23.7978 21.795 21.146 20.041 ~ 34 0
5 [IBB2017] 7 EmG 03 32 37.962 -27 46 51.94 22.9458 22.8494 22.410 22.130 21.9282 ~ 28 0
6 NAME Hubble Ultra Deep Field reg 03 32 39.0 -27 47 29           ~ 1485 0
7 EIS-DEEP CDFS-2 Ks 1 1460 EmG 03 32 40.782 -27 46 15.69 22.4840 22.0376 21.168 20.756 20.3797 ~ 33 0
8 [SWM2014] GOODS-S 25053 G 03 32 41.405 -27 47 17.17 26.0967 24.2186 22.359 21.656 21.1531 ~ 38 0
9 [IBB2017] 916 G 03 32 42.252 -27 46 25.33 23.9739 23.7965 23.582   23.1367 ~ 21 0
10 NGC 5139 GlC 13 26 47.28 -47 28 46.1   6.12 5.33     ~ 3252 0
11 NAME Local Group GrG ~ ~           ~ 7720 0
12 NAME Galactic Bulge reg ~ ~           ~ 3896 0

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2022.08.10-19:21:06

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