Experimental Astronomy

, Volume 35, Issue 1–2, pp 337–344 | Cite as

Implementation of PhotoZ under Astro-WISE

A photometric redshift code for large datasets
  • Roberto P. SagliaEmail author
  • Jan Snigula
  • Robert Senger
  • Ralf Bender
Original Article


We describe the implementation of the PhotoZ code in the framework of the Astro-WISE package and as part of the Photometric Classification Server of the PanSTARRS pipeline. Both systems allow the automatic measurement of photometric redshifts for the millions of objects being observed in the PanSTARRS project or expected to be observed by future surveys like KIDS, DES or EUCLID.


Astronomy databases Properties of galaxies Red shift 


  1. 1.
    Abazajian, K. N., et al.: The 7th data release of the Sloan digital sky survey. Astrophys. J. Suppl. Ser. 182, 543 (2009)ADSCrossRefGoogle Scholar
  2. 2.
    Kaiser, N.: Pan-STARRS: a wide-field optical survey telescope array. SPIE 5489, 11–12 (2004)ADSCrossRefGoogle Scholar
  3. 3.
    Csabai, I. et al.: The application of photometric redshifts to the SDSS early data release. Astron. J. 125, 580 (2003)ADSCrossRefGoogle Scholar
  4. 4.
    Collister, A.A., Lahav, O.: ANNz: estimating photometric redshifts using artificial neural networks. Publ. Astron. Soc. Pac. 116, 345 (2004)ADSCrossRefGoogle Scholar
  5. 5.
    Padmanabhan, N. et al.: Calibrating photometric redshifts of luminous red galaxies. Mon. Not. R. Astron. Soc. 359, 237 (2005)ADSCrossRefGoogle Scholar
  6. 6.
    Ilbert, O. et al.: Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey. Astron. Astrophys. 457, 841 (2006)ADSCrossRefGoogle Scholar
  7. 7.
    Mobasher, B., et al.: Photometric redshifts of galaxies in COSMOS. Astrophys. J. Suppl. Ser. 172, 117 (2007)ADSCrossRefGoogle Scholar
  8. 8.
    Pello, R., et al.: Photometric redshifts and cluster tomography in the ESO distant cluster survey. Astron. Astrophys. 508, 1173 (2009)ADSCrossRefGoogle Scholar
  9. 9.
    Bender, R., et al.: The FORS Deep Field: Photometric Data and Photometric Redshifts. In: Cristiani, S., Renzini, A., Williams, R.E. (eds.) Deep Fields, pp. 96–101. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  10. 10.
    Saglia, R.P., et al.: The photometric classification server for Pan-STARRS. ApJ (submitted, 2011). arXiv:1109.5080
  11. 11.
    Gabasch, A., et al.: The evolution of the luminosity functions in the FORS deep field from low to high redshift: I. The blue bands. Astron. Astrophys. 421, 41–58 (2004)ADSCrossRefGoogle Scholar
  12. 12.
    Feulner, G., et al.: Specific star formation rates to redshift 5 from the FORS deep field and the GOODS-S field. Astrophys. J. 633, L9–L12 (2005)ADSCrossRefGoogle Scholar
  13. 13.
    Gabasch, A., et al.: A deep i-selected multiwaveband galaxy catalogue in the COSMOS field. Mon. Not. R. Astron. Soc. 383, 1319–1335 (2008)ADSCrossRefGoogle Scholar
  14. 14.
    Greisel, N.: Elliptical Galaxies as Traces of Large Scale Structure. Master Thesis, Ludwig Maximilian University, Munich (2010)Google Scholar
  15. 15.
    Hildebrandt, H., et al.: PHAT: PHoto-z accuracy testing. Astron. Astrophys. 523, A31 (2010)ADSCrossRefGoogle Scholar
  16. 16.
    Saglia, R.P.: The photometric classification server of PanSTARRS1. In: Bailer-Jones, C.A.L. (ed.) Proc. of the Conference “Classification and Discovery in Large Astronomical Surveys”, Ringberg Castle, 14–17 October 2008, AIP Conference Proceedings vol. 1082, pp. 366–372. AIP, Melville, New York (2008)Google Scholar
  17. 17.
    Snigula, J.M., Bender, R., Saglia, R., Drory, N.: The photometric classification client for Pan-STARRS-1. In: Lewis, J., Argyle, R., Bunclarck, P., Evans, D., Gonzales-Solares, E. (eds.) ASP Conference Series, vol. 421, pp. 268–271 (2009)Google Scholar
  18. 18.
    Heasley, J.N.: The Pan-STARRS data processing and science analysis software systems. In: Bailer-Jones, C.A.L. (ed.) Proc. of the Conference Classification and Discovery in Large Astronomical Surveys, Ringberg Castle, 14–17 October 2008, AIP Conference Proceedings vol. 1082, AIP (Melville, New York), pp. 352–358 (2008)Google Scholar
  19. 19.
    Laureijs, R.: Euclid assessment study report for the ESA cosmic visions. astro-ph/0921.0914 (2009)Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Roberto P. Saglia
    • 1
    • 2
    Email author
  • Jan Snigula
    • 1
    • 2
  • Robert Senger
    • 1
    • 2
  • Ralf Bender
    • 1
    • 2
  1. 1.Max-Planck Institute for Extraterrestrial PhysicsGarchingGermany
  2. 2.UniversitätssternwarteMünchenGermany

Personalised recommendations