# Clustering of the AKARI NEP Deep Field 24 μm Selected Galaxies

@article{Solarz2015ClusteringOT,
title={Clustering of the AKARI NEP Deep Field 24 $\mu$m Selected Galaxies},
author={A. Solarz and Agnieszka Pollo and Tsutomu T. Takeuchi and Katarzyna Małek and Hideo Matsuhara and Glenn J. White and A. Pcepiak and Tomotsugu Goto and Takehiko Wada and Shinki Oyabu and Toshinobu Takagi and Youichi Ohyama and Chris Pearson and Hitoshi Hanami and Tsuyoshi Ishigaki and Matthew A. Malkan},
journal={Astronomy and Astrophysics},
year={2015},
volume={582}
}
• A. Solarz, M. Malkan
• Published 1 September 2015
• Physics
• Astronomy and Astrophysics
Aims. We present a method of selection of 24 μ m galaxies from the AKARI north ecliptic pole (NEP) deep field down to 150 μ Jy and measurements of their two-point correlation function. We aim to associate various 24 μ m selected galaxy populations with present day galaxies and to investigate the impact of their environment on the direction of their subsequent evolution. Methods. We discuss using of Support Vector Machines (SVM) algorithm applied to infrared photometric data to perform star…

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## References

SHOWING 1-10 OF 95 REFERENCES
Star-galaxy separation in the AKARI NEP deep field
Context. It is crucial to develop a method for classifying objects detected in deep surveys at infrared wavelengths. We specifically need a method to separate galaxies from stars using only the
On the evolution of clustering of 24-μm-selected galaxies
This paper investigates the clustering properties of a complete sample of 1041 24-μm-selected sources brighter than F24 μm= 400 μJy in the overlapping region between the Spitzer WideArea Infrared
Properties of star forming galaxies in AKARI Deep Field-South
Aims. The main aim of this work is the characterization of physical properties of galaxies detected in the far-infrared (FIR) in the AKARI Deep Field-South (ADF-S) survey. Methods. Starting from a
The GALEX Ultraviolet Virgo Cluster Survey (GUViCS). IV: The role of the cluster environment on galaxy evolution
We study the role of the environment on galaxy evolution using a sample of 868 galaxies in the Virgo cluster and in its surrounding regions that are selected from the GALEX Ultraviolet Virgo Cluster
Spitzer 70 and 160 μm Observations of the Extragalactic First Look Survey
We present 70 and 160 μm observations from the Spitzer extragalactic First Look Survey (xFLS). The data reduction techniques and the methods for producing co-added mosaics and source catalogs are
Spatial Clustering from GALEX-SDSS samples: Star Formation History and large-scale clustering
We measure the projected spatial correlation function wp(rp) from a large sample combining Galaxy Evolution Explorer ultraviolet imaging with the Sloan Digital Sky Survey spectroscopic sample. We
The VIMOS-VLT Deep Survey - The evolution of galaxy clustering per spectral type to z~1.5
We measure the evolution of clustering for galaxies with different spectral types from 6495 galaxies with 17.5 1.2, due to the growth in clustering of the star-forming population. We find similar
Redshift Distribution of Extragalactic 24 μm Sources
We present the redshift distribution of a complete, unbiased sample of 24 μm sources down to fν(24 μ m) = 300 μ Jy (5 σ). The sample consists of 591 sources detected in the Boötes field of the NOAO
Clustering Properties of Rest-Frame UV-Selected Galaxies. I. the Correlation Length Derived from GALEX Data in the Local Universe
We present the first measurements of the angular correlation function of galaxies selected in the far (1530 Å) and near (2310 Å) ultraviolet from the GALEX survey fields overlapping SDSS DR5 in low
CLUSTERING OF STAR-FORMING GALAXIES DETECTED IN MID-INFRARED WITH THE SPITZER WIDE-AREA SURVEY
We discuss the clustering properties of galaxies with signs of ongoing star formation detected by the Spitzer Space Telescope at the 24 μm band in the SWIRE Lockman Hole field. The sample of
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