Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey

Mohammadjavad Vakili; Henk Hoekstra; MacIej Bilicki; Maria Cristina Fortuna; Konrad Kuijken; Angus H. Wright; Marika Asgari; Michael Brown; Elisabeth Dombrovskij; Thomas Erben; Benjamin Giblin; Catherine Heymans; Hendrik Hildebrandt; Harry Johnston; Shahab Joudaki; Arun Kannawadi

doi:10.1051/0004-6361/202039293

Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey

Mohammadjavad Vakili, Henk Hoekstra, MacIej Bilicki, Maria Cristina Fortuna, Konrad Kuijken, Angus H. Wright, Marika Asgari, Michael Brown, Elisabeth Dombrovskij, Thomas Erben, Benjamin Giblin, Catherine Heymans, Hendrik Hildebrandt, Harry Johnston, Shahab Joudaki, Arun Kannawadi

School of Physics and Astronomy

Research output: Contribution to journal › Article › Research › peer-review

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Abstract

We present a sample of luminous red sequence galaxies as the basis for a study of the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red sequence template was built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involved estimating the red sequence redshifts, assessing the purity of the sample and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigated the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measured the angular two-point correlation function of the red galaxies in four redshift bins and constrain the large-scale bias of our red sequence sample assuming a fixed I CDM cosmology. We find consistent linear biases for two luminosity-threshold samples (densea'and luminous). We find that our constraints are well characterised by the passive evolution model.

Original language	English
Article number	A202
Number of pages	21
Journal	Astronomy & Astrophysics
Volume	675
DOIs	https://doi.org/10.1051/0004-6361/202039293
Publication status	Published - Jul 2023

Keywords

Galaxies: distances and redshifts
Large-scale structure of Universe
Methods: data analysis
Methods: statistical

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10.1051/0004-6361/202039293Licence: CC BY

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Vakili, M., Hoekstra, H., Bilicki, M., Fortuna, M. C., Kuijken, K., Wright, A. H., Asgari, M., Brown, M., Dombrovskij, E., Erben, T., Giblin, B., Heymans, C., Hildebrandt, H., Johnston, H., Joudaki, S., & Kannawadi, A. (2023). Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey. Astronomy & Astrophysics, 675, Article A202. https://doi.org/10.1051/0004-6361/202039293

@article{c9d79ddd7986427ca21c96da4dbf8703,

title = "Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey",

abstract = "We present a sample of luminous red sequence galaxies as the basis for a study of the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red sequence template was built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involved estimating the red sequence redshifts, assessing the purity of the sample and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigated the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measured the angular two-point correlation function of the red galaxies in four redshift bins and constrain the large-scale bias of our red sequence sample assuming a fixed I CDM cosmology. We find consistent linear biases for two luminosity-threshold samples (densea'and luminous). We find that our constraints are well characterised by the passive evolution model.",

keywords = "Galaxies: distances and redshifts, Large-scale structure of Universe, Methods: data analysis, Methods: statistical",

author = "Mohammadjavad Vakili and Henk Hoekstra and MacIej Bilicki and Fortuna, {Maria Cristina} and Konrad Kuijken and Wright, {Angus H.} and Marika Asgari and Michael Brown and Elisabeth Dombrovskij and Thomas Erben and Benjamin Giblin and Catherine Heymans and Hendrik Hildebrandt and Harry Johnston and Shahab Joudaki and Arun Kannawadi",

note = "Funding Information: M.V., H.Ho. and M.C.F. acknowledge support from Vici grant 639.043.512 from the Netherlands Organization of Scientific Research (NWO). M. Bilicki is supported by the Polish National Science Center through grants no. 2020/38/E/ST9/00395, 2018/30/E/ST9/00698, 2018/31/G/ST9/03388 and 2020/39/B/ST9/03494, and by the Polish Ministry of Science and Higher Education through grant DIR/WK/2018/12. H.J. acknowledges support from a UK Science and Technology Facilities Council (STFC) Studentship. A.H.W. is supported by an European Research Council Consolidator Grant (No. 770935). M.A. acknowledges support from the European Research Council under grant number 647112. B.G. acknowledges support from the European Research Council under grant number 647112 and from the Royal Society through an Enhancement Award (RGF/EA/181006). C.H. acknowledges support from the European Research Council under grant number 647112, and support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. H. Hildebrandt is supported by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) as well as an ERC Consolidator Grant (No. 770935). S.J. acknowledges support from the Beecroft Trust and ERC 693024. GAMA is a joint European-Australasian project based around a spectroscopic campaign using the Anglo Australian Telescope. The GAMA input catalogue is based on data taken from the Sloan Digital Sky Survey and the UKIRT Infrared Deep Sky Survey. Complementary imaging of the GAMA regions is being obtained by a number of independent survey programs including GALEX MIS, VST KiDS, VISTA VIKING, WISE, Herschel-ATLAS, GMRT and ASKAP providing UV to radio coverage. GAMA is funded by the STFC (UK), the ARC (Australia), the AAO, and the participating institutions. The GAMA website is http://www.gama-survey.org . Funding for SDSS-III was provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the US Department of Energy Office of Science. The SDSS-III website is http://www.sdss3.org/ . SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/NotreDame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. This work has made use of python (http://www.python.org/), including the packages numpy (http://www.numpy.org/), scipy (http://www.scipy.org/), pandas ( https://pandas.pydata.org/ ), and scikit-learn ( https://scikit-learn.org/ ). Plots have been produced with matplotlib ( https://matplotlib.org/ ) and seaborn ( https://seaborn.pydata.org/ ). We have used the ChainConsumer package (Hinton 2016) to generate Fig. 14 of the paper. This work has made use of CosmoHub (https://cosmohub.pic.es/). CosmoHub ( cosmohub.pic.es ) has been developed by the Port d{\textquoteright}Informaci{\'o} Cient{\'i}fica (PIC), maintained through a collaboration of the Institut de Fisica d{\textquoteright}Altes Energies (IFAE) and the Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (CIEMAT) and the Institute of Space Sciences (CSIC & IEEC), and was partially funded by the “Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion” program of the Spanish government. Author contributions: All authors contributed to the development and writing of this paper. The authorship list is given in three groups: the lead authors (MV,HHo, MB, MCF) followed by two alphabetical groups. The first alphabetical group includes those who are key contributors to both the scientific analysis and the data products. The second group covers those who have either made a significant contribution to the data products, or to the scientific analysis. Publisher Copyright: {\textcopyright} 2023 EDP Sciences. All rights reserved.",

year = "2023",

month = jul,

doi = "10.1051/0004-6361/202039293",

language = "English",

volume = "675",

journal = "Astronomy & Astrophysics",

issn = "0004-6361",

publisher = "EDP Sciences",

}

Vakili, M, Hoekstra, H, Bilicki, M, Fortuna, MC, Kuijken, K, Wright, AH, Asgari, M, Brown, M, Dombrovskij, E, Erben, T, Giblin, B, Heymans, C, Hildebrandt, H, Johnston, H, Joudaki, S & Kannawadi, A 2023, 'Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey', Astronomy & Astrophysics, vol. 675, A202. https://doi.org/10.1051/0004-6361/202039293

TY - JOUR

T1 - Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey

AU - Vakili, Mohammadjavad

AU - Hoekstra, Henk

AU - Bilicki, MacIej

AU - Fortuna, Maria Cristina

AU - Kuijken, Konrad

AU - Wright, Angus H.

AU - Asgari, Marika

AU - Brown, Michael

AU - Dombrovskij, Elisabeth

AU - Erben, Thomas

AU - Giblin, Benjamin

AU - Heymans, Catherine

AU - Hildebrandt, Hendrik

AU - Johnston, Harry

AU - Joudaki, Shahab

AU - Kannawadi, Arun

N1 - Funding Information: M.V., H.Ho. and M.C.F. acknowledge support from Vici grant 639.043.512 from the Netherlands Organization of Scientific Research (NWO). M. Bilicki is supported by the Polish National Science Center through grants no. 2020/38/E/ST9/00395, 2018/30/E/ST9/00698, 2018/31/G/ST9/03388 and 2020/39/B/ST9/03494, and by the Polish Ministry of Science and Higher Education through grant DIR/WK/2018/12. H.J. acknowledges support from a UK Science and Technology Facilities Council (STFC) Studentship. A.H.W. is supported by an European Research Council Consolidator Grant (No. 770935). M.A. acknowledges support from the European Research Council under grant number 647112. B.G. acknowledges support from the European Research Council under grant number 647112 and from the Royal Society through an Enhancement Award (RGF/EA/181006). C.H. acknowledges support from the European Research Council under grant number 647112, and support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. H. Hildebrandt is supported by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) as well as an ERC Consolidator Grant (No. 770935). S.J. acknowledges support from the Beecroft Trust and ERC 693024. GAMA is a joint European-Australasian project based around a spectroscopic campaign using the Anglo Australian Telescope. The GAMA input catalogue is based on data taken from the Sloan Digital Sky Survey and the UKIRT Infrared Deep Sky Survey. Complementary imaging of the GAMA regions is being obtained by a number of independent survey programs including GALEX MIS, VST KiDS, VISTA VIKING, WISE, Herschel-ATLAS, GMRT and ASKAP providing UV to radio coverage. GAMA is funded by the STFC (UK), the ARC (Australia), the AAO, and the participating institutions. The GAMA website is http://www.gama-survey.org . Funding for SDSS-III was provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the US Department of Energy Office of Science. The SDSS-III website is http://www.sdss3.org/ . SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/NotreDame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. This work has made use of python (http://www.python.org/), including the packages numpy (http://www.numpy.org/), scipy (http://www.scipy.org/), pandas ( https://pandas.pydata.org/ ), and scikit-learn ( https://scikit-learn.org/ ). Plots have been produced with matplotlib ( https://matplotlib.org/ ) and seaborn ( https://seaborn.pydata.org/ ). We have used the ChainConsumer package (Hinton 2016) to generate Fig. 14 of the paper. This work has made use of CosmoHub (https://cosmohub.pic.es/). CosmoHub ( cosmohub.pic.es ) has been developed by the Port d’Informació Científica (PIC), maintained through a collaboration of the Institut de Fisica d’Altes Energies (IFAE) and the Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (CIEMAT) and the Institute of Space Sciences (CSIC & IEEC), and was partially funded by the “Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion” program of the Spanish government. Author contributions: All authors contributed to the development and writing of this paper. The authorship list is given in three groups: the lead authors (MV,HHo, MB, MCF) followed by two alphabetical groups. The first alphabetical group includes those who are key contributors to both the scientific analysis and the data products. The second group covers those who have either made a significant contribution to the data products, or to the scientific analysis. Publisher Copyright: © 2023 EDP Sciences. All rights reserved.

PY - 2023/7

Y1 - 2023/7

N2 - We present a sample of luminous red sequence galaxies as the basis for a study of the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red sequence template was built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involved estimating the red sequence redshifts, assessing the purity of the sample and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigated the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measured the angular two-point correlation function of the red galaxies in four redshift bins and constrain the large-scale bias of our red sequence sample assuming a fixed I CDM cosmology. We find consistent linear biases for two luminosity-threshold samples (densea'and luminous). We find that our constraints are well characterised by the passive evolution model.

AB - We present a sample of luminous red sequence galaxies as the basis for a study of the large-scale structure in the fourth data release of the Kilo-Degree Survey. The selected galaxies are defined by a red sequence template, in the form of a data-driven model of the colour-magnitude relation conditioned on redshift. In this work, the red sequence template was built using the broad-band optical+near infrared photometry of KiDS-VIKING and the overlapping spectroscopic data sets. The selection process involved estimating the red sequence redshifts, assessing the purity of the sample and estimating the underlying redshift distributions of redshift bins. After performing the selection, we mitigated the impact of survey properties on the observed number density of galaxies by assigning photometric weights to the galaxies. We measured the angular two-point correlation function of the red galaxies in four redshift bins and constrain the large-scale bias of our red sequence sample assuming a fixed I CDM cosmology. We find consistent linear biases for two luminosity-threshold samples (densea'and luminous). We find that our constraints are well characterised by the passive evolution model.

KW - Galaxies: distances and redshifts

KW - Large-scale structure of Universe

KW - Methods: data analysis

KW - Methods: statistical

UR - http://www.scopus.com/inward/record.url?scp=85166252157&partnerID=8YFLogxK

U2 - 10.1051/0004-6361/202039293

DO - 10.1051/0004-6361/202039293

M3 - Article

AN - SCOPUS:85166252157

SN - 0004-6361

VL - 675

JO - Astronomy & Astrophysics

JF - Astronomy & Astrophysics

M1 - A202

ER -

Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey

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Keywords

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