Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis

Mehmet Alpaslan; Aaron S. G. Robotham; Simon Driver; Peder Norberg; John A. Peacock; Ivan Baldry; Joss Bland-hawthorn; Sarah Brough; Andrew M. Hopkins; Lee S. Kelvin; Jochen Liske; Jon Loveday; Alexander Merson; Robert C. Nichol; Kevin Pimbblet

doi:10.1111/j.1365-2966.2012.21020.x

Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis

Mehmet Alpaslan, Aaron S. G. Robotham, Simon Driver, Peder Norberg, John A. Peacock, Ivan Baldry, Joss Bland-hawthorn, Sarah Brough, Andrew M. Hopkins, Lee S. Kelvin, Jochen Liske, Jon Loveday, Alexander Merson, Robert C. Nichol, Kevin Pimbblet

Institute of Cosmology & Gravitation

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

Abstract

We have generated complementary halo mass estimates for all the groups in the Galaxy And Mass Assembly Galaxy Group Catalogue (GAMA G3Cv1) using a modified caustic mass estimation algorithm, originally developed by Diaferio & Geller. We calibrate the algorithm by applying it on a series of nine GAMA mock galaxy light cones and investigate the effects of using different definitions for group centre and size. We select the set of parameters that provide median-unbiased mass estimates when tested on mocks, and generate mass estimates for the real group catalogue. We find that on average, the caustic mass estimates agree with dynamical mass estimates within a factor of 2 in 90.8 ± 6.1 per cent groups and compare equally well to velocity dispersion based mass estimates for both high- and low-multiplicity groups over the full range of masses probed by the G3Cv1.

Original language	English
Pages (from-to)	2832-2846
Journal	Monthly Notices of the Royal Astronomical Society
Volume	426
Issue number	4
DOIs	https://doi.org/10.1111/j.1365-2966.2012.21020.x
Publication status	Published - 11 Nov 2012

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https://academic.oup.com/mnras/article-lookup/doi/10.1111/j.1365-2966.2012.21020.x

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Alpaslan, M., Robotham, A. S. G., Driver, S., Norberg, P., Peacock, J. A., Baldry, I., Bland-hawthorn, J., Brough, S., Hopkins, A. M., Kelvin, L. S., Liske, J., Loveday, J., Merson, A., Nichol, R. C., & Pimbblet, K. (2012). Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis. Monthly Notices of the Royal Astronomical Society, 426(4), 2832-2846. https://doi.org/10.1111/j.1365-2966.2012.21020.x

@article{e082a65039a347e783ea0128fe33d404,

title = "Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis",

abstract = "We have generated complementary halo mass estimates for all the groups in the Galaxy And Mass Assembly Galaxy Group Catalogue (GAMA G3Cv1) using a modified caustic mass estimation algorithm, originally developed by Diaferio & Geller. We calibrate the algorithm by applying it on a series of nine GAMA mock galaxy light cones and investigate the effects of using different definitions for group centre and size. We select the set of parameters that provide median-unbiased mass estimates when tested on mocks, and generate mass estimates for the real group catalogue. We find that on average, the caustic mass estimates agree with dynamical mass estimates within a factor of 2 in 90.8 ± 6.1 per cent groups and compare equally well to velocity dispersion based mass estimates for both high- and low-multiplicity groups over the full range of masses probed by the G3Cv1.",

author = "Mehmet Alpaslan and Robotham, {Aaron S. G.} and Simon Driver and Peder Norberg and Peacock, {John A.} and Ivan Baldry and Joss Bland-hawthorn and Sarah Brough and Hopkins, {Andrew M.} and Kelvin, {Lee S.} and Jochen Liske and Jon Loveday and Alexander Merson and Nichol, {Robert C.} and Kevin Pimbblet",

year = "2012",

month = nov,

day = "11",

doi = "10.1111/j.1365-2966.2012.21020.x",

language = "English",

volume = "426",

pages = "2832--2846",

journal = "Monthly Notices of the Royal Astronomical Society",

issn = "0035-8711",

publisher = "Oxford University Press",

number = "4",

}

Alpaslan, M, Robotham, ASG, Driver, S, Norberg, P, Peacock, JA, Baldry, I, Bland-hawthorn, J, Brough, S, Hopkins, AM, Kelvin, LS, Liske, J, Loveday, J, Merson, A, Nichol, RC & Pimbblet, K 2012, 'Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis', Monthly Notices of the Royal Astronomical Society, vol. 426, no. 4, pp. 2832-2846. https://doi.org/10.1111/j.1365-2966.2012.21020.x

TY - JOUR

T1 - Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis

T2 - Galaxy group masses via caustic analysis

AU - Alpaslan, Mehmet

AU - Robotham, Aaron S. G.

AU - Driver, Simon

AU - Norberg, Peder

AU - Peacock, John A.

AU - Baldry, Ivan

AU - Bland-hawthorn, Joss

AU - Brough, Sarah

AU - Hopkins, Andrew M.

AU - Kelvin, Lee S.

AU - Liske, Jochen

AU - Loveday, Jon

AU - Merson, Alexander

AU - Nichol, Robert C.

AU - Pimbblet, Kevin

PY - 2012/11/11

Y1 - 2012/11/11

N2 - We have generated complementary halo mass estimates for all the groups in the Galaxy And Mass Assembly Galaxy Group Catalogue (GAMA G3Cv1) using a modified caustic mass estimation algorithm, originally developed by Diaferio & Geller. We calibrate the algorithm by applying it on a series of nine GAMA mock galaxy light cones and investigate the effects of using different definitions for group centre and size. We select the set of parameters that provide median-unbiased mass estimates when tested on mocks, and generate mass estimates for the real group catalogue. We find that on average, the caustic mass estimates agree with dynamical mass estimates within a factor of 2 in 90.8 ± 6.1 per cent groups and compare equally well to velocity dispersion based mass estimates for both high- and low-multiplicity groups over the full range of masses probed by the G3Cv1.

AB - We have generated complementary halo mass estimates for all the groups in the Galaxy And Mass Assembly Galaxy Group Catalogue (GAMA G3Cv1) using a modified caustic mass estimation algorithm, originally developed by Diaferio & Geller. We calibrate the algorithm by applying it on a series of nine GAMA mock galaxy light cones and investigate the effects of using different definitions for group centre and size. We select the set of parameters that provide median-unbiased mass estimates when tested on mocks, and generate mass estimates for the real group catalogue. We find that on average, the caustic mass estimates agree with dynamical mass estimates within a factor of 2 in 90.8 ± 6.1 per cent groups and compare equally well to velocity dispersion based mass estimates for both high- and low-multiplicity groups over the full range of masses probed by the G3Cv1.

U2 - 10.1111/j.1365-2966.2012.21020.x

DO - 10.1111/j.1365-2966.2012.21020.x

M3 - Article

SN - 0035-8711

VL - 426

SP - 2832

EP - 2846

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 4

ER -

Galaxy And Mass Assembly (GAMA): estimating galaxy group masses via caustic analysis: Galaxy group masses via caustic analysis

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