New insights on the accuracy of photometric redshift measurements
M. Massarotti, A. Iovino, A. Buzzoni, D. Valls‐Gabaud
Abstract
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M. Massarotti, A. Iovino, A. Buzzoni, D. Valls‐Gabaud
Abstract
Open-access reader
We use the deepest and most complete redshift catalog currently available (the Hubble Deep Field (HDF) North supplemented by new HDF South redshift data) to minimize residuals between photometric and spectroscopic redshift estimates. The good agreement at shows that model libraries provide a good description of the galaxy population. At , the systematic shift between photometric and spectroscopic redshifts decreases when the modeling of the absorption by the interstellar and intergalactic media is refined. As a result, in the entire redshift range , residuals between photometric and spectroscopic redshifts are roughly halved. For objects fainter than the spectroscopic limit, the main source of uncertainty in photometric redshifts is related to photometric errors, and can be assessed with Monte Carlo simulations.
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We use the deepest and most complete redshift catalog currently available (the Hubble Deep Field (HDF) North supplemented by new HDF South redshift data) to minimize residuals between photometric and spectroscopic redshift estimates. The good agreement at shows that model libraries provide a good description of the galaxy population. At , the systematic shift between photometric and spectroscopic redshifts decreases when the modeling of the absorption by the interstellar and intergalactic media is refined. As a result, in the entire redshift range , residuals between photometric and spectroscopic redshifts are roughly halved. For objects fainter than the spectroscopic limit, the main source of uncertainty in photometric redshifts is related to photometric errors, and can be assessed with Monte Carlo simulations.
Key concepts: Redshift, Physics, Photometric redshift, Astrophysics, Galaxy, Intergalactic travel, Photometry (optics), Population