Forecasting the potential of weak lensing magnification to enhance LSST large-scale structure analyses

Constance Mahony, Maria Cristina Fortuna, Benjamin Joachimi, Andreas Korn, Henk Hoekstra, Samuel J. Schmidt, David Alonso, Sukhdeep Singh, Marina Ricci, Hendrik Hildebrandt, Christopher Duncan, Harry Johnston

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Recent works have shown that weak lensing magnification must be included in upcoming large-scale structure analyses, such as for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), to avoid biasing the cosmological results. In this work, we investigate whether including magnification has a positive impact on the precision of the cosmological constraints, as well as being necessary to avoid bias. We forecast this using an LSST mock catalogue and a halo model to calculate the galaxy power spectra. We find that including magnification has little effect on the precision of the cosmological parameter constraints for an LSST galaxy clustering analysis, where the halo model parameters are additionally constrained by the galaxy luminosity function. In particular, we find that for the LSST gold sample (i < 25.3) including weak lensing magnification only improves the galaxy clustering constraint on.

Original languageEnglish
Pages (from-to)1210-1228
Number of pages19
JournalMonthly Notices of the Royal Astronomical Society
Volume513
Issue number1
DOIs
Publication statusPublished - 1 Jun 2022

Bibliographical note

Publisher Copyright:
©m by a factor of 1.03, and when using a very deep LSST mock sample (i < 26.5) by a factor of 1.3. Since magnification predominantly contributes to the clustering measurement and provides similar information to that of cosmic shear, this improvement would be reduced for a combined galaxy clustering and shear analysis. We also confirm that not modelling weak lensing magnification will catastrophically bias the cosmological results from LSST. Magnification must therefore be included in LSST large-scale structure analyses even though it does not significantly enhance the precision of the cosmological constraints.

Keywords

  • (cosmology:) cosmological parameters
  • (cosmology:) large-scale structure of Universe
  • gravitational lensing: Weak
  • methods: Analytical
  • methods: Statistical

Fingerprint

Dive into the research topics of 'Forecasting the potential of weak lensing magnification to enhance LSST large-scale structure analyses'. Together they form a unique fingerprint.

Cite this