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| Paper: |
AMAZED: Algorithm for Massive Automated Z Evaluation and Determination |
| Volume: |
521, Astronomical Data Analysis Software and Systems XXVI |
| Page: |
398 |
| Authors: |
Schmitt, A.; Arnouts, S.; Borges, R.; Chabaud, P.; Fauchier, F.; Jamal, S.; Brun, V. L.; Févre, O. L.; Surace, C.; Vibert, D.; Vidal, C. |
| Abstract: |
As of today, at z>1, accurate redshift estimation is done by human operators. Next generation of cosmological surveys targeting millions of galaxies require fully automated processing pipelines without human intervention. The goal of AMAZED is to automatically measure the redshift of any celestial object and its associated redshift reliability flag, thus requiring a
new generation of redshift measurement algorithms.
The AMAZED project aims at providing a fully automated and versatile (instrument type, resolution, etc.) redshift estimation tool.
AMAZED focuses on future all-sky surveys in a low-noise regime as the upcoming NISP slitless spectrographic data of the ESA-Euclid mission (also applicable to NASA-WFIRST), and on
and on upcoming massive deep surveys like the Subaru Prime Focus Spectrograph (PFS). In this article, the presented work focused on a subset of new
algorithmic and results obtained with simulated and real data. |
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