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Photometric redshift accuracy in AKARI deep surveys
Author(s)
M. Negrello
S. Serjeant
C. Pearson
T. Takagi
T. Goto
D. Burgarella
W.-S. Jeong
M. Im
H. M. Lee
H. Matsuhara
S. Oyabu
T. Wada
G. White
Abstract
We investigate the photometric redshift accuracy achievable with the AKARI infrared data in deep multiband surveys, such as in the North Ecliptic Pole field. We demonstrate that the passage of redshifted polycyclic aromatic hydrocarbons (PAH) and silicate features into the mid-infrared wavelength window covered by AKARI is a valuable means to recover the redshifts of starburst galaxies. To this end, we have collected a sample of ∼60 galaxies drawn from the Great Observatories Origins Deep Survey-North Field with spectroscopic redshift 0.5 ≲ zspec ≲ 1.5 and photometry from 3.6 to 24 μm, provided by the Spitzer, Infrared Space Observatory and AKARI satellites. The infrared spectra are fitted using synthetic galaxy spectral energy distributions which account for starburst and active nuclei emission. For ∼90 per cent of the sources in our sample, the redshift is recovered with an accuracy |zphot - zspec|/(1 + zspec) ≲ 10 per cent. A similar analysis performed on a set of simulated spectra shows that the AKARI infrared data alone can provide photometric redshifts accurate to |zphot - zspec|/(1 + zspec) ∼ 10 per cent (1σ) at z ≲ 2. At higher redshifts, the PAH features are shifted outside the wavelength range covered by AKARI and the photo-z estimates rely on the less prominent 1.6 μm stellar bump; the accuracy achievable in this case on (1 + z) is ∼10-15 per cent, provided that the active galactic nuclei contribution to the infrared emission is subdominant. Our technique is no more prone to redshift aliasing than optical-ultraviolet photo-z, and it may be possible to reduce this aliasing further with the addition of submillimetre and/or radio data.
Part Of
Monthly Notices of the Royal Astronomical Society
Journal or Serie
Monthly Notices of the Royal Astronomical Society
Issue
1
Volume
394
Start Page
375
End Page
397
ISSN
00358711
Date Issued
2009
DOI
10.1111/j.1365-2966.2008.14293.x
School
c
Publisher
Oxford University Press
File(s)
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Name
mnras0394-0375 (1).pdf
Type
main article
Size
7.67 MB
Format
Checksum