Hierarchical Modeling and Statistical Calibration for Photometric Redshifts
نویسندگان
چکیده
منابع مشابه
A Bayesian Hierarchical Model for Photometric Redshifts
The Sloan Digital Sky Survey (SDSS) is an extremely large astronomical survey conducted with the intention of mapping more than a quarter of the sky (http://www.sdss.org/). Among the data it is generating are spectroscopic and photometric measurements, both allowing estimation of the redshift of galaxies. The former is precise but expensive to gather, the latter is far cheaper but corresponding...
متن کاملSize of spectroscopic calibration samples for cosmic shear photometric redshifts
Weak gravitational lensing surveys using photometric redshifts can have their cosmological constraints severely degraded by errors in the photo-z scale. We explore the cosmological degradation vs the size of the spectroscopic survey required to calibrate the photo-z probability distribution. Previous work has assumed a simple Gaussian distribution of photo-z errors; here we describe a method fo...
متن کاملTowards More Precise Photometric Redshifts: Calibration Via CCD Photometry
We present the initial results from a deep, multi-band photometric survey of selected high Galactic latitude redshift fields. Previous work using the photographic data of Koo and Kron demonstrated that the distribution of galaxies in the multi-dimensional flux space U,B,R,& I is nearly planar. The position of a galaxy within this plane is determined by its redshift, luminosity and spectral type...
متن کاملPhotometric Redshifts and Photometry Errors
We examine the impact of non-Gaussian photometry errors on photometric redshift performance. We find that they greatly increase the scatter, but this can be mitigated to some extent by incorporating the correct noise model into the photometric redshift estimation process. However, the remaining scatter is still equivalent to that of a much shallower survey with Gaussian photometry errors. We al...
متن کاملA Unified Framework for Photometric Redshifts
We present a rigorous mathematical solution to photometric redshift estimation and the more general inversion problem. The challenge we address is to meaningfully constrain unknown properties of astronomical sources based on given observables, usually multicolor photometry, with the help of a training set that provides an empirical relation between the measurements and the desired quantities. W...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Astrophysical Journal
سال: 2019
ISSN: 1538-4357
DOI: 10.3847/1538-4357/ab2d29