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

Upcoming 21 cm intensity mapping experiments like the Square Kilometer Array(SKA) hold significant potential to constrain the properties of dark matter. Inthis work, we model neutral hydrogen (HI) distributions using high-resolutionhydrodynamical $N$-body simulations of both cold dark matter (CDM) and fuzzydark matter (FDM) cosmologies in the post-reionization redshift range of$z=3.42-4.94$. We show that the HI abundance decreases in FDM-like cosmologies.Extreme FDM models with $m\sim 10^{-22}$ eV are at odds with a range ofmeasurements. Due to the increased halo bias, the HI bias increases, paralleledby the damped Lyman-$\alpha$ (DLA) bias which we infer from the cross-sectionof DLAs. The distribution of the latter in extreme FDM models has a high medianat the low-mass end, which can be traced to the high column density of cosmicfilaments. FDM models exhibit a very similar abundance of DLAs compared to CDMwhile sub-DLAs are already less abundant. We study the prospects of detectingthe brightest HI peaks with SKA1-Low at $z=4.94$, indicating moderatesignal-to-noise ratios (SNR) at angular resolution $\theta_A = 2^{\prime}$ witha rapidly declining SNR for lower values of $\theta_{A}$. After training theconditional normalizing flow network HIGlow on 2D HI maps, we interpolate itslatent space of axion masses to predict the peak flux for a new, synthetic FDMcosmology, finding good agreement with expectations. This work thus underscoresthe potential of normalizing flows in capturing complex, non-linear structureswithin HI maps, offering a versatile tool for conditional sample generation andprediction tasks.

Modeling Post-Reionization HI Distributions in Fuzzy Dark Matter Cosmologies Using Conditional Normalizing Flows