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Related papers: Selection functions of large spectroscopic surveys

200 papers

Galaxy redshift surveys are outstanding tools for observational cosmology. Mapping the universe as outlined by galaxies leads to fundamental measurements which refine our knowledge of its structure and evolution. Redshift acquisition has…

Astrophysics · Physics 2007-05-23 L. Tresse

The Chinese Space Station Survey Telescope (CSST) is a flagship space mission, designed to carry out a large-area sky survey to explore the nature of dark matter and dark energy in the Universe. The onboard multi-band imaging and slitless…

Instrumentation and Methods for Astrophysics · Physics 2025-11-17 Cheng-Liang Wei , Yu Luo , Hao Tian , Ming Li , Yi-Sheng Qiu , Guo-Liang Li , Yue-Dong Fang , Xin Zhang , De-Zi Liu , Nan Li , Ran Li , Huan-Yuan Shan , Lin Nie , Zizhao He , Lei Wang , Xi Kang , Dongwei Fan , Yang Chen , Xiaoting Fu , Chao Liu

Knowledge of the scatter in the mass-observable relation is a key ingredient for a cosmological analysis based on galaxy clusters in a photometric survey. In this paper we aim to quantify the capability of the correlation function of galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2017-03-15 Julia Campa , Brenna Flaugher , Juan Estrada

We introduce a new method to determine galaxy cluster membership based solely on photometric properties. We adopt a machine learning approach to recover a cluster membership probability from galaxy photometric parameters and finally derive…

Cosmology and Nongalactic Astrophysics · Physics 2020-02-26 P. A. A. Lopes , A. L. B. Ribeiro

The large number of microlensing events discovered towards the Galactic Bulge bears the promise to reconstruct the stellar mass function. The more interesting issue concerning the mass function is certainly to probe its low mass end.…

Astrophysics · Physics 2009-10-31 C. Alard

The abundance and mass distribution of galaxy clusters is a sensitive probe of cosmological parameters, through the sensitivity of the high-mass end of the halo mass function to $\Omega_m$ and $\sigma_8$. While galaxy cluster surveys have…

Cosmology and Nongalactic Astrophysics · Physics 2026-04-15 M. Regamey , D. Eckert , R. Seppi , W. Hartley , K. Umetsu , S. Tam , D. Gerolymatou

Modern redshift surveys such as the 2 degree field Galaxy Redshift Survey (2dFGRS) and the Sloan Digital Sky Survey (SDSS) reveal the fully 3 dimensional distribution of a million or so galaxies over a large cosmological volume. Visually…

Astrophysics · Physics 2009-09-29 Jatush V. Sheth , Varun Sahni

Strong gravitational lensing observations can provide extremely valuable information on the structure of galaxies, but their interpretation is made difficult by selection effects, which, if not accounted for, introduce a bias between the…

Astrophysics of Galaxies · Physics 2024-10-23 Alessandro Sonnenfeld

We describe the construction of catalogues of galaxy clusters from the APM Galaxy survey using an automated algorithm based on Abell-like selection criteria. We investigate the effects of varying several parameters in our selection…

Astrophysics · Physics 2015-06-24 Gavin Dalton , Steve Maddox , Will Sutherland , George Efstathiou

The Six Degree Field Galaxy Survey (6dFGS) is a spectroscopic survey of the southern sky, which aims to provide positions and velocities of galaxies in the nearby Universe. We present here the adaptive tiling algorithm developed to place…

Astrophysics · Physics 2011-03-10 Lachlan Campbell , Will Saunders , Matthew Colless

We identify and study a previously unknown systematic effect on cosmic shear measurements, caused by the selection of galaxies used for shape measurement, in particular the rejection of close (blended) galaxy pairs. We use ray-tracing…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Jan Hartlap , Stefan Hilbert , Peter Schneider , Hendrik Hildebrandt

Over the last decades, evolutionary population synthesis models have powered an unmatched leap forward in our understanding of galaxies. From dating the age of the first galaxies in the Universe to detailed measurements of the chemical…

Astrophysics of Galaxies · Physics 2024-11-13 I. Martín-Navarro , A. Vazdekis

To analyse stellar populations in galaxies a widely used method is to apply theoretically derived responses of stellar spectra and line indices to element abundance variations, hereafter referred to as response functions. These are applied…

Solar and Stellar Astrophysics · Physics 2015-06-16 A. E. Sansom , A. de Castro Milone , A. Vazdekis , P. Sanchez-Blazquez

The spatial distribution of Galactic stars with different chemical abundances encodes information on the processes that drove the formation and evolution of the Milky Way. Survey selection functions are indispensable for analysing…

The binary fraction of a stellar population can have pronounced effects on its properties, and in particular the number counts of different massive star types, and the relative subtype rates of the supernovae which end their lives. Here we…

Solar and Stellar Astrophysics · Physics 2020-07-29 E. R. Stanway , J. J. Eldridge , A. A. Chrimes

With the advent of JWST, we can probe the rest-frame optical emission of galaxies at $z>3$ with high sensitivity and spatial resolution, making it possible to accurately characterise red, optically-faint galaxies and thus move towards a…

We constrain the mass distribution in nearby, star-forming galaxies with the Star Formation Reference Survey (SFRS), a galaxy sample constructed to be representative of all known combinations of star formation rate (SFR), dust temperature,…

Full spectrum fitting is a powerful tool for estimating the stellar populations of galaxies, but the fitting results are often significantly influenced by internal dust attenuation. For understanding how the choice of the internal dust…

Astrophysics of Galaxies · Physics 2024-06-21 Joon Hyeop Lee , Hyunjin Jeong , Jiwon Chung , Mina Pak , Sree Oh

Most existing star-galaxy classifiers use the reduced summary information from catalogs, requiring careful feature extraction and selection. The latest advances in machine learning that use deep convolutional neural networks allow a machine…

Instrumentation and Methods for Astrophysics · Physics 2016-10-20 Edward J. Kim , Robert J. Brunner