Amos Yahil
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Amos Yahil has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Alexander S. Szalay
The Johns Hopkins University
2 shared publications - Bahram Mobasher
Astrophysics Group Imperial College Prince Consort Road SW7 2BZ Blackett Laboratory London UK
2 shared publications - David W. Hogg
New York University
2 shared publications - F. D. A. Hartwick
Dept. of Physics & Astronomy University of Victoria Victoria P.O. Box 3055 B.C. V8W 3P6 Canada
2 shared publications - Howard K. C. Yee
Department of Astronomy and Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada
2 shared publications - István Csabai
Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, 1117, Hungary
2 shared publications
Latest Publications
- 1 April 1998
- Published by American Astronomical Society in The Astronomical Journal
- Vol. 115 (4) , 1418-1422
A Blind Test of Photometric Redshift Prediction
Results of a blind test of photometric redshift predictions against spectroscopic galaxy redshifts obtained in the Hubble Deep Field with the Keck Telescope are presented. The best photometric redshift schemes predict spectroscopic redshifts with a redshift accuracy of |Delta-z|<0.1 for more than 68 percent of sources and with |Delta-z|<0.3 for 100 percent, when single-feature spectroscopic redshifts are removed from consideration. This test shows that photometric redshift schemes work well at least when the photometric data are of high quality and when the sources are at moderate redshifts.Comment: 14 pp., accepted for publication in A
- 1 April 1998
- Published by American Astronomical Society in The Astronomical Journal
- Vol. 115 (4) , 1418-1422
A Blind Test of Photometric Redshift Prediction
Results of a blind test of photometric redshift predictions against spectroscopic galaxy redshifts obtained in the Hubble Deep Field with the Keck Telescope are presented. The best photometric redshift schemes predict spectroscopic redshifts with a redshift accuracy of |Delta-z|<0.1 for more than 68 percent of sources and with |Delta-z|<0.3 for 100 percent, when single-feature spectroscopic redshifts are removed from consideration. This test shows that photometric redshift schemes work well at least when the photometric data are of high quality and when the sources are at moderate redshifts.Comment: 14 pp., accepted for publication in A
- Open Access
A blind test of photometric redshift prediction
Results of a blind test of photometric redshift predictions against spectroscopic galaxy redshifts obtained in the Hubble Deep Field with the Keck Telescope are presented. The best photometric redshift schemes predict spectroscopic redshifts with a redshift accuracy of |Delta-z|<0.1 for more than 68 percent of sources and with |Delta-z|<0.3 for 100 percent, when single-feature spectroscopic redshifts are removed from consideration. This test shows that photometric redshift schemes work well at least when the photometric data are of high quality and when the sources are at moderate redshifts.
Open AccessA blind test of photometric redshift prediction
Results of a blind test of photometric redshift predictions against spectroscopic galaxy redshifts obtained in the Hubble Deep Field with the Keck Telescope are presented. The best photometric redshift schemes predict spectroscopic redshifts with a redshift accuracy of |Delta-z|<0.1 for more than 68 percent of sources and with |Delta-z|<0.3 for 100 percent, when single-feature spectroscopic redshifts are removed from consideration. This test shows that photometric redshift schemes work well at least when the photometric data are of high quality and when the sources are at moderate redshifts.