Discovering Large-Scale Structure at $2<z<5$ in the C3VO Survey
Denise Hung, Brian C. Lemaux, Olga Cucciati, Ben Forrest, Ekta A., Shah, Roy R. Gal, Finn Giddings, Derek Sikorski, Emmet Golden-Marx, Lori M., Lubin, Nimish Hathi, Giovanni Zamorani, Lu Shen, Sandro Bardelli, Letizia P., Cassara, Gabriella De Lucia, Fabio Fontanot

TL;DR
This paper presents a method for detecting large-scale galaxy structures at redshifts 2 to 5 using Voronoi tessellation Monte Carlo mapping, demonstrating its effectiveness on survey data and simulations.
Contribution
The study introduces an application of VMC mapping to the C3VO survey for high-redshift structure detection and evaluates its performance with simulated data.
Findings
Achieved 30-50% completeness and purity for massive structures at 2<z<4.
Recovered known structures and identified hundreds of new overdensities.
Demonstrated VMC mapping's effectiveness for high-redshift galaxy surveys.
Abstract
The Charting Cluster Construction with VUDS and ORELSE (C3VO) survey is an ongoing imaging and spectroscopic campaign aiming to map out the growth of structure up to and was born from the combination of the Visible Multi-Object Spectrograph Ultra Deep Survey and the Observations of Redshift Evolution in Large-Scale Environments (ORELSE) survey. As we previously accomplished with the ORELSE survey, we apply our technique known as Voronoi tessellation Monte Carlo (VMC) mapping to search for serendipitous galaxy overdensities at in the three C3VO fields. We also apply the same technique to mock observations of simulated galaxies with properties derived from the GAlaxy Evolution and Assembly semianalytic model in order to judge the effectiveness of our search algorithm as a function of redshift, total mass, and fraction of spectroscopic redshifts. We find completeness and…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Astronomy and Astrophysical Research · Atmospheric and Environmental Gas Dynamics
