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

LOFAR is a new and innovative effort to build a radio-telescope operating atthe multi-meter wavelength spectral window. One of the most excitingapplications of LOFAR will be the search for redshifted 21-cm line emissionfrom the Epoch of Reionization (EoR). It is currently believed that the DarkAges, the period after recombination when the Universe turned neutral, lasteduntil around the Universe was 400,000 years old. During the EoR, objectsstarted to form in the early universe and they were energetic enough to ionizeneutral hydrogen. The precision and accuracy required to achieve thisscientific goal, can be essentially translated into accumulating large amountsof data. The data model describing the response of the LOFAR telescope to theintensity distribution of the sky is characterized by the non-linearity of theparameters and the large level of noise compared to the desired cosmologicalsignal. In this poster, we present the implementation of a statisticallyoptimal map-making process and its properties. The basic assumptions of thismethod are that the noise is Gaussian and independent between the stations andfrequency channels and that the dynamic range of the data can been enhancedsignificantly during the off-line LOFAR processing. These assumptions match ourexpectations for the LOFAR Epoch of Reionization Experiment.

Statistical inversion of the LOFAR Epoch of Reionization experiment data model