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

Line-intensity mapping (LIM) is an emerging technique to probe thelarge-scale structure of the Universe. By targeting the integrated intensity ofspecific spectral lines, it captures the emission from all sources and issensitive to the astrophysical processes that drive galaxy evolution. Relatingthese processes to the underlying distribution of matter introducesobservational and theoretical challenges, such as observational contaminationand highly non-Gaussian fields, which motivate the use of simulations to bettercharacterize the signal. In this work we present SkyLine, a computationalframework to generate realistic mock LIM observations that includeobservational features and foreground contamination, as well as a variety ofself-consistent tracer catalogs. We apply our framework to generaterealizations of LIM maps from the MultiDark Planck 2 simulations coupled to theUniverseMachine galaxy formation model. We showcase the potential of our schemeby exploring the voxel intensity distribution and the power spectrum ofemission lines such as 21 cm, CO, CII, and Lyman-$\alpha$, their mutualcross-correlations, and cross-correlations with galaxy clustering. Weadditionally present cross-correlations between LIM and sub-millimeterextragalactic tracers of large-scale structure such as the cosmic infraredbackground and the thermal Sunyaev-Zel'dovich effect, as well as quantify theimpact of galactic foregrounds, line interlopers and instrument noise on LIMobservations. These simulated products will be crucial in quantifying the trueinformation content of LIM surveys and their cross-correlations in the comingdecade, and to develop strategies to overcome the impact of contaminants andmaximize the scientific return from LIM experiments.

A multi-tracer empirically-driven approach to line-intensity mapping lightcones