English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Galaxy clusters are a promising probe of late-time structure growth, butconstraints on cosmology from cluster abundances are currently limited bysystematics in their inferred masses. One unmitigated systematic effect inweak-lensing mass inference is ignoring the presence of baryons and treatingthe entire cluster as a dark matter halo. In this work we present a newflexible model for cluster densities that captures both the baryonic and darkmatter profiles, a new general technique for calculating the lensing signal ofan arbitrary density profile, and a methodology for stacking those lensingsignal to appropriately model stacked weak-lensing measurements of galaxycluster catalogues. We test this model on 1400 simulated clusters. Similarly toprevious studies, we find that a dark matter-only model overestimates theaverage mass by $7.5\%$, but including our baryonic term reduces that to$0.7\%$. Additionally, to mitigate the computational complexity of our model,we construct an emulator (surrogate model) which accurately interpolates ourmodel for parameter inference, while being much faster to use than the rawmodel. We also provide an open-source software framework for our model andemulator, called maszcal, which will serve as a platform for continued effortsto improve these mass-calibration techniques. In this work, we detail ourmodel, the construction of the emulator, and the tests which we used tovalidate that our model does mitigate bias. Lastly, we describe tests of theemulator's accuracy

Towards 1% accurate galaxy cluster masses: Including baryons in weak-lensing mass inference