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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We employ realistic constraints on selection effects to model the Gamma-RayBurst (GRB) redshift distribution using {\it Swift} triggered redshift samplesacquired from optical afterglows and the TOUGH survey. Models for the Malmquistbias, redshift desert, and the fraction of afterglows missing because of hostgalaxy dust extinction, are used to show how the "true" GRB redshiftdistribution is distorted to its presently observed biased distribution. Ouranalysis, which accounts for the missing fraction of redshifts in the two datasubsets, shows that a combination of selection effects (both instrumental andastrophysical) can describe the observed GRB redshift distribution. Theobserved distribution supports the case for dust extinction as the dominantastrophysical selection effect that shapes the redshift distribution.

The Swift Gamma-Ray Burst redshift distribution: selection biases or rate evolution at high-z?