Negrello, Mattia; Serjeant, Stephen; Pearson, Chris; Takagi, T.; Efstathiou, A.; Goto, T.; Burgarella, D.; Jeaon, W-S; Im, M.; Lee, H.; Matsuhar, H.; Oyabu, S.; Wada, T. and White, Glenn (2010). AKARI photometric redshift accuracy. MNRAS.
| URL: | http://vizier.cfa.harvard.edu/viz-bin/VizieR?-sour... |
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| Dataset Google Scholar: | Look up in Google Scholar |
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 24um, 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%. 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% (1sigma) 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 1.6um stellar bump; the accuracy achievable in this case on (1+z) is ~10-15%, 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.
| Item Type: | Research Dataset Record |
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| Dataset Status: | Finalised |
| Dataset Access: | http://vizier.cfa.harvard.edu/viz-bin/VizieR?-source=J/MNRAS/394/375 |
| Retention Rule: | Indefinitely |
| Retention Action: | Archive |
| Copyright Holders: | © 2010 MNRAS |
| Academic Unit or School: | Physical Sciences Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ORO ID: | 32888 |
| Depositing User: | G. J. White |
| Date Deposited: | 08 Mar 2012 11:21 |
| Last Modified: | 22 May 2024 06:30 |
| URI: | https://oro.open.ac.uk/id/eprint/32888 |
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