Speaker
Description
The cosmic web of galaxies carries information about the growth and expansion history of the universe. Mapping the large-scale structure of the universe is the main goal of several current galaxy surveys, while also providing insights about the nature of dark matter and dark energy, which make up 95% of the universe.
Cosmic voids are huge underdense regions in the galaxy distribution that are especially sensitive to dark energy, but their statistical analysis is challenging due to the sparse sampling of galaxies. Observations of galaxies are less pristine than simulations, due to observational effects such as survey completeness or redshift errors - which can further bias the void statistics and the inferred cosmological parameters, too.
I am focusing on cosmic voids at the time of the cosmic noon (redshift 1<z<2), which refers to the peak of structure formation, right before dark energy begins dominating the dynamics of the universe. Utilizing simulations, I study the effects of different observational errors on cosmic void statistics in this redshift range. Exploring these systematic effects will help us reconstruct more unbiased cosmologies.