A new method to measure galaxy bias by combining the density and weak lensing fields

Arnau Pujol, Chihway Chang, Enrique Gaztañaga, Adam Amara, Alexandre Refregier, David J. Bacon, Jorge Carretero, Francisco J. Castander, Martin Crocce, Pablo Fosalba, Marc Manera, Vinu Vikram

Research output: Contribution to journalArticlepeer-review

136 Downloads (Pure)


We present a new method to measure the redshift-dependent galaxy bias by combining information from the galaxy density field and the weak lensing field. This method is based on Amara et al. (2012), where they use the galaxy density field to construct a bias-weighted convergence field kg. The main difference between Amara et al. (2012) and our new implementation is that here we present another way to measure galaxy bias using tomography instead of bias parameterizations. The correlation between kg and the true lensing field k allows us to measure galaxy bias using different zero-lag correlations, such as / or / . Our method measures the linear bias factor on linear scales under the assumption of no stochasticity between galaxies and matter. We use the MICE simulation to measure the linear galaxy bias for a flux-limited sample (i
Original languageEnglish
Pages (from-to)35-47
JournalMonthly Notices of the Royal Astronomical Society
Issue number1
Early online date29 Jul 2016
Publication statusPublished - Oct 2016


  • astro-ph.CO
  • large-scale structure of Universe
  • gravitational lensing: weak
  • survey


Dive into the research topics of 'A new method to measure galaxy bias by combining the density and weak lensing fields'. Together they form a unique fingerprint.

Cite this