Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey

被引:1339
作者
Ilbert, O.
Arnouts, S.
McCracken, H. J.
Bolzonella, M.
Bertin, E.
Le Fevre, O.
Mellier, Y.
Zamorani, G.
Pello, R.
Iovino, A.
Tresse, L.
Le Brun, V.
Bottini, D.
Garilli, B.
Maccagni, D.
Picat, J. P.
Scaramella, R.
Scodeggio, M.
Vettolani, G.
Zanichelli, A.
Adami, C.
Bardelli, S.
Cappi, A.
Charlot, S.
Ciliegi, P.
Contini, T.
Cucciati, O.
Foucaud, S.
Franzetti, P.
Gavignaud, I.
Guzzo, L.
Marano, B.
Marinoni, C.
Mazure, A.
Meneux, B.
Merighi, R.
Paltani, S.
Pollo, A.
Pozzetti, L.
Radovich, M.
Zucca, E.
Bondi, M.
Bongiorno, A.
Busarello, G.
De La Torre, S.
Gregorini, L.
Lamareille, F.
Mathez, G.
Merluzzi, P.
Ripepi, V.
机构
[1] Univ Bologna, Dipartimento Astron, I-40127 Bologna, Italy
[2] Univ Aix Marseille 1, CNRS, UMR 6110, Lab Astrophys Marseille, F-13376 Marseille 12, France
[3] Univ Paris 06, CNRS, UMR 7095, Inst Astrophys Paris, F-75014 Paris, France
[4] Observ Paris, LERMA, F-75014 Paris, France
[5] Osservatorio Astron Bologna, INAF, I-40127 Bologna, Italy
[6] Observ Midi Pyrenees, Astrophys Lab, F-31400 Toulouse, France
[7] Osserv Astron Brera, INAF, Milan, Italy
[8] IASF INAF, I-20133 Milan, Italy
[9] Osserv Astron Roma, INAF, I-00040 Monte Porzio Catone, Italy
[10] IRA INAF, I-40129 Bologna, Italy
[11] Univ Nottingham, Sch Phys & Astron, Nottingham NG7 2RD, England
[12] European So Observ, D-8046 Garching, Germany
[13] Ctr Phys Theor, Marseille, France
[14] Integral Sci Datat Ctr, CH-1290 Versoix, Switzerland
[15] Observ Geneva, CH-1290 Sauverny, Switzerland
[16] Osserv Astron Capodimonte, INAF, I-80131 Naples, Italy
关键词
galaxies : distances and redshifts; galaxies : photometry; methods : data analysis;
D O I
10.1051/0004-6361:20065138
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Aims. We present and release photometric redshifts for a uniquely large and deep sample of 522286 objects with i'(AB) <= 25 in the Canada-France Hawaii Telescope Legacy Survey (CFHTLS) "Deep Survey" fields D1, D2, D3, and D4, which cover a total effective area of 3.2 deg(2). Methods: We use 3241 spectroscopic redshifts with 0 <= z <= 5 from the VIMOS VLT Deep Survey (VVDS) as a calibration and training set to derive these photometric redshifts. Using the "Le Phare" photometric redshift code, we developed a robust calibration method based on an iterative zero-point refinement combined with a template optimisation procedure and the application of a Bayesian approach. This method removes systematic trends in the photometric redshifts and significantly reduces the fraction of catastrophic errors ( by a factor of 2), a significant improvement over traditional methods. We use our unique spectroscopic sample to present a detailed assessment of the robustness of the photometric redshift sample. Results. For a sample selected at i'(AB) = 24, we reach a redshift accuracy of sigma(Delta z/(1+ z)) = 0.029 with eta = 3.8% of catastrophic errors (eta is defined strictly as those objects with |Delta z|/(1 + z) > 0.15). The reliability of our photometric redshifts decreases for faint objects: we find sigma(Delta z/(1+ z)) = 0.025, 0.034 and. = 1.9%, 5.5% for samples selected at i'(AB) = 17.5 - 22.5 and 22.5 - 24 respectively. We find that the photometric redshifts of starburst galaxies are less reliable: although these galaxies represent only 22% of the spectroscopic sample, they are responsible for 50% of the catastrophic errors. An analysis as a function of redshift demonstrates that our photometric redshifts work best in the redshift range 0.2 <= z <= 1.5. We find an excellent agreement between the photometric and the VVDS spectroscopic redshift distributions at i'(AB) <= 24. Finally, we compare the redshift distributions of i' selected galaxies on the four CFHTLS deep fields, showing that cosmic variance is still present on fields of 0.7-0.9 deg(2). These photometric redshifts are made publicly available at http://terapix.iap.fr(complete ascii catalogues) and http://cencos. oamp.fr/cencos/CFHTLS/(searchable database interface).
引用
收藏
页码:841 / 856
页数:16
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