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We quantify the detectability of stellar Milky Way satellites in the Sloan Digital Sky Survey (SDSS) Data Release 5. We show that the effective search volumes for the recently discovered SDSS--satellites depend strongly on their luminosity,…

[Abridged] A specialized data mining algorithm has been developed using wide-field photometry catalogues, enabling systematic and efficient searches for resolved, extremely low surface brightness satellite galaxies in the halo of the Milky…

Astrophysics · Physics 2009-11-13 Shane Walsh , Beth Willman , Helmut Jerjen

In this paper, we limit the stellar content of 13 high-velocity clouds (HVCs; including 1 compact HVC) using the detection limits of a new survey for resolved Milky Way satellite galaxies in the Sloan Digital Sky Survey Early Data Release…

Galaxy clusters can be detected as surface brightness enhancements in smoothed optical surveys. This method does not require individual galaxies to be identifiable, and enables clusters to be detected out to surprisingly high redshifts, as…

Astrophysics · Physics 2009-11-07 Matthias Bartelmann , Simon D. M. White

The Sloan Digital Sky Survey (SDSS) is collecting photometry and intermediate resolution spectra for ~ 10**5 stars in the thick-disk and stellar halo of the Milky Way. This massive dataset can be used to infer the properties of the stars…

Astrophysics · Physics 2007-05-23 C. Allende Prieto , T. C. Beers , Y. Li , H. J. Newberg , R. Wilhelm , B. Yanny

We report on a search for new low-surface-brightness galaxies (LSBGs) using Sloan Digital Sky Survey (SDSS) data within the GAMA equatorial fields. The search method consisted of masking objects detected with SDSS photo, combining gri…

In this paper we present results of a pilot study to use imaging data from the Sloan Digital Sky Survey (SDSS) to search for low-surface-brightness (LSB) galaxies. For our pilot study we use a test sample of 92 galaxies from the catalog of…

We study the luminosity function of satellite galaxies around isolated primaries using the Sloan Digital Sky Survey (SDSS) spectroscopic and photometric galaxy samples. We select isolated primaries from the spectroscopic sample and search…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Quan Guo , Shaun Cole , Vincent Eke , Carlos Frenk

We correct the observed Milky Way satellite luminosity function for luminosity bias using published completeness limits for the Sloan Digital Sky Survey DR5. Assuming that the spatial distribution of Milky Way satellites tracks the subhalos…

Astrophysics · Physics 2009-11-13 Erik J. Tollerud , James S. Bullock , Louis E. Strigari , Beth Willman

Ultra-faint dwarf galaxies, which can be detected as resolved satellite systems of the Milky Way, are critical to understanding galaxy formation, evolution, and the nature of dark matter, as they are the oldest, smallest, most metal-poor,…

Low surface brightness (LSB) galaxies are galaxies with central surface brightness fainter than the night sky. Due to the faint nature of LSB galaxies and the comparable sky background, it is difficult to search LSB galaxies automatically…

Instrumentation and Methods for Astrophysics · Physics 2022-06-01 Zhenping Yi , Jia Li , Wei Du , Meng Liu , Zengxu Liang , Yongguang Xing , Jingchang Pan , Yude Bu , Xiaoming Kong , Hong Wu

We present an overview of the LIGHTS (LBT Imaging of Galactic Halos and Tidal Structures) survey, which currently includes 25 nearby galaxies that are on average $\sim$ 1 mag fainter than the Milky Way, and a catalog of 54 low central…

This study reports on photometric results of a search for LSB galaxies in a 0.76deg^2 field centered on the HDF-S. We present results from photometric analysis of the derived sample galaxies and compare number densities to results of former…

Astrophysics · Physics 2009-11-13 L. Haberzettl , D. J. Bomans , R. -J. Dettmar , M. Pohlen

A large sample of low surface brightness (LSB) disk galaxies is selected from SDSS with B-band central surface brightness mu_0(B) from 22 to 24.5 mag arcsec^(-2). Some of their properties are studied, such as magnitudes, surface brightness,…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-14 Y. C. Liang , G. H. Zhong , X. Y. Chen , D. Gao , F. Hammer , F. S. Liu , J. Y. Hu , L. C. Deng , B. Zhang

Recent large-scale galaxy spectroscopic surveys, such as the Sloan Digital Sky Survey (SDSS), enable us to execute a systematic, relatively-unbiased search for galaxy clusters. Such surveys make it possible to measure the 3-d distribution…

Astrophysics · Physics 2009-11-13 Joo H. Yoon , Kevin Schawinski , Yun-Kyeong Sheen , Chang H. Ree , Sukyoung K. Yi

Compact disc galaxies (CDGs) with high surface brightness were identified in the Sloan Digital Sky Survey (SDSS) data. We determined the surface profiles of the CDGs and compared them to those of normal-sized disk galaxies (NDGs). The CDGs…

Astrophysics of Galaxies · Physics 2023-09-04 Cheng-Yu Chen , Chorng-Yuan Hwang

The population of Low Surface Brightness (LSB) galaxies is crucial for understanding the extremes of galaxy formation and evolution of the universe. As LSB galaxies are mostly rich in gas (HI), the alpha.40-SDSS DR7 sample is absolutely one…

Astrophysics of Galaxies · Physics 2015-06-03 Wei Du , Hong Wu , Man I Lam , Yinan Zhu , Fengjie Lei , Zhimin Zhou

The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter. However, the population of Milky Way satellites includes the faintest known galaxies,…

We present new results of our program to systematically search for strongly lensed galaxies in the Sloan Digital Sky Survey (SDSS) imaging data. In this study six strong lens systems are presented which we have confirmed with follow-up…

With galaxy groups constructed from the Sloan Digital Sky Survey (SDSS), we analyze the expected galaxy-galaxy lensing signals around satellite galaxies residing in different host haloes and located at different halo-centric distances. We…

Cosmology and Nongalactic Astrophysics · Physics 2013-03-04 Ran Li , Houjun Mo , Zuhui Fan , Xiaohu Yang , Frank C. van den Bosch
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