Speaker
Description
Observing the Epoch of Reionization(EoR) through the redshifted 21-cm line of Hl will revolutionize the study of the first stars, galaxies, and intergalactic medium in the early Universe. This signal carries the information on the fraction of neutral hydrogen, spin temperature, CMB temperature, and cosmological parameters. The redshifted 21-cm line is, however buried under foregrounds that are many orders of magnitude brighter. We must eliminate the foreground signals accurately.
One of the methods to remove foregrounds is Gaussian Process Regression(GPR). This method will statistically separate the 21cm line from most foregrounds and other contaminants. Mertens et al. 2020 show that GPR is capable for removing foregrounds on Low-Frequency Array (LOFAR).
In this talk, we show the result of foreground removal using GPR to Murchison Widefield Array (MWA) observation data.
| Presentation length | 20 |
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