Galaxy And Mass Assembly (GAMA) : the galaxy luminosity function within the cosmic web
MetadataShow full item record
We investigate the dependence of the galaxy luminosity function on geometric environment within the Galaxy And Mass Assembly (GAMA) survey. The tidal tensor prescription, based on the Hessian of the pseudo-gravitational potential, is used to classify the cosmic web and define the geometric environments: for a given smoothing scale, we classify every position of the surveyed region, 0.04 < z < 0.26, as either a void, a sheet, a filament or a knot. We consider how to choose appropriate thresholds in the eigenvalues of the Hessian in order to partition the galaxies approximately evenly between environments. We find a significant variation in the luminosity function of galaxies between different geometric environments; the normalization, characterized by phi* in a Schechter function fit, increases by an order of magnitude from voids to knots. The turnover magnitude, characterized by M*, brightens by approximately 0.5 mag from voids to knots. However, we show that the observed modulation can be entirely attributed to the indirect local-density dependence. We therefore find no evidence of a direct influence of the cosmic web on the galaxy luminosity function.
Eardley , E , Peacock , J A , McNaught-Roberts , T , Heymans , C , Norberg , P , Alpaslan , M , Baldry , I , Bland-Hawthorn , J , Brough , S , Cluver , M E , Driver , S P , Farrow , D J , Liske , J , Loveday , J & Robotham , A S G 2015 , ' Galaxy And Mass Assembly (GAMA) : the galaxy luminosity function within the cosmic web ' Monthly Notices of the Royal Astronomical Society , vol 448 , no. 4 , pp. 3665-3678 . DOI: 10.1093/mnras/stv237
Monthly Notices of the Royal Astronomical Society
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society, © 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
EE acknowledges support from the Science and Technology Facilities Council. TMR acknowledges support from a ERC Starting Grant (DEGAS-259586). CH acknowledges support from the ERC under the EC FP7 grant number 240185. PN acknowledges the support of the Royal Society through the award of a University Research Fellowship and the ERC, through receipt of a Starting Grant (DEGAS- 259586).
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.