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Accurate redshift calibration is required to obtain unbiased cosmological information from large-scale galaxy surveys. In a forward modelling approach, the redshift distribution n(z) of a galaxy sample is measured using a parametric galaxy…

宇宙学与河外天体物理 · 物理学 2024-05-13 Beatrice Moser , Tomasz Kacprzak , Silvan Fischbacher , Alexandre Refregier , Dominic Grimm , Luca Tortorelli

A method of obtaining approximate redshifts and spectral types of galaxies using a photometric system of six broad-bandpass filters is developed. The technique utilizes a smallest maximum difference approach rather than a least-squares…

天体物理学 · 物理学 2009-10-30 Charles T. Liu , Richard F. Green

We propose a new method to estimate the photometric redshift of galaxies by using the full galaxy image in each measured band. This method draws from the latest techniques and advances in machine learning, in particular Deep Neural…

天体物理仪器与方法 · 物理学 2016-06-16 Ben Hoyle

We use gravitational lenses from the Cosmic Lens All-Sky Survey (CLASS) to constrain the evolution of galaxies since redshift $z \sim 1$ in the current $\LCDM$ cosmology. This constraint is unique as it is based on a mass-selected lens…

天体物理学 · 物理学 2009-11-10 Kyu-Hyun Chae , Shude Mao

The Next Generation Space Telescope (NGST) will gather unprecedented spectro-photometric data on galaxies out to the highest redshifts. It is therefore crucial to identify the spectro-photometric diagnostics within reach of NGST, which will…

天体物理学 · 物理学 2009-09-25 S. Charlot

We present a robust method to estimate the redshift of galaxies using Pan-STARRS1 photometric data. Our method is an adaptation of the one proposed by Beck et al. (2016) for the SDSS Data Release 12. It uses a training set of 2313724…

星系天体物理 · 物理学 2020-10-14 Paula Tarrío , Stefano Zarattini

I outline a quantitative method for characterizing galaxies both by photometric `form' and indices of spectral-type, applicable to both nearby and distant galaxies. Such a characterization provides insight on galaxy evolution because there…

天体物理学 · 物理学 2009-10-31 Matthew A. Bershady

We investigate how well the redshift distributions of galaxies sorted into photometric redshift bins can be determined from the galaxy angular two-point correlation functions. We find that the uncertainty in the reconstructed redshift…

天体物理学 · 物理学 2008-11-26 M. Schneider , L. Knox , H. Zhan , A. Connolly

The next generation of proposed galaxy surveys will increase the number of galaxies with photometric redshifts by two orders of magnitude, drastically expanding both redshift range and detection threshold from the current state of the art.…

宇宙学与河外天体物理 · 物理学 2011-02-11 A. E. Schulz

We investigate the potential and accuracy of clustering-based redshift estimation using the method proposed by M\'enard et al. (2013). This technique enables the inference of redshift distributions from measurements of the spatial…

星系天体物理 · 物理学 2015-06-22 Mubdi Rahman , Brice Ménard , Ryan Scranton , Samuel J. Schmidt , Christopher B. Morrison

Measuring the evolution in the clustering of galaxies over a large redshift range is a challenging problem. For a two-dimensional galaxy catalog, however, we can measure the galaxy-galaxy angular correlation function which provides…

天体物理学 · 物理学 2009-10-31 Robert J. Brunner , Andrew J. Connolly , Alex S. Szalay

In the modern galaxy surveys photometric redshifts play a central role in a broad range of studies, from gravitational lensing and dark matter distribution to galaxy evolution. Using a dataset of about 25,000 galaxies from the second data…

In addition to the maximum likelihood approach, there are two other methods which are commonly used to reconstruct the true redshift distribution from photometric redshift datasets: one uses a deconvolution method, and the other a…

宇宙学与河外天体物理 · 物理学 2015-05-14 Ravi K. Sheth , Graziano Rossi

Estimating redshifts from broadband photometry is often limited by how accurately we can map the colors of galaxies to an underlying spectral template. Current techniques utilize spectrophotometric samples of galaxies or spectra derived…

天体物理仪器与方法 · 物理学 2025-03-11 John Franklin Crenshaw , Andrew J. Connolly

The redshift distribution of galaxy lenses in known gravitational lens systems provides a powerful test that can potentially discriminate amongst cosmological models. However, applications of this elegant test have been curtailed by two…

天体物理学 · 物理学 2009-06-23 Pedro R. Capelo , Priyamvada Natarajan

Photometric redshifts (photo-$z$'s) are crucial for the cosmology, galaxy evolution, and transient science drivers of next-generation imaging facilities like the Euclid Mission, the Rubin Observatory, and the Nancy Grace Roman Space…

星系天体物理 · 物理学 2025-12-03 Emma R. Moran , Brett H. Andrews , Jeffrey A. Newman , Biprateep Dey

We present a forward modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: a detailed population model describing the intrinsic distribution of physical characteristics…

宇宙学与河外天体物理 · 物理学 2023-02-01 Justin Alsing , Hiranya Peiris , Daniel Mortlock , Joel Leja , Boris Leistedt

Comparing galaxies across redshifts at fixed cumulative number density is a popular way to estimate the evolution of specific galaxy populations. This method ignores scatter in mass accretion histories and galaxy-galaxy mergers, which can…

宇宙学与河外天体物理 · 物理学 2025-08-12 Peter Behroozi , Danilo Marchesini , Risa Wechsler , Adam Muzzin , Casey Papovich , Mauro Stefanon

Knowing the redshift of galaxies is one of the first requirements of many cosmological experiments, and as it's impossible to perform spectroscopy for every galaxy being observed, photometric redshift (photo-z) estimations are still of…

天体物理仪器与方法 · 物理学 2022-03-09 Ben Henghes , Connor Pettitt , Jeyan Thiyagalingam , Tony Hey , Ofer Lahav

The DEEP2 Galaxy Redshift Survey is now well underway, having already measured the redshifts to ~5600 galaxies in its first season of observations. Here I briefly review the survey itself, before discussing in more detail some of the…

天体物理学 · 物理学 2007-05-23 Darren S. Madgwick