MApping the Most Massive Overdensities Through Hydrogen (MAMMOTH) I: Methodology
Zheng Cai, Xiaohui Fan, Sebastien Peirani, Fuyan Bian, Brenda Frye,, Ian McGreer, J. Xavier Prochaska, Marie Wingyee Lau, Nicolas Tejos, Shirley, Ho, Donald P. Schneider

TL;DR
This paper introduces a methodology to identify and study the most massive cosmic overdensities at high redshift by analyzing strong Lyα absorption systems, linking intergalactic gas reservoirs to galaxy clustering.
Contribution
The paper develops a new technique to differentiate between strong Lyα absorption systems caused by overdensities and high column density absorbers, validated with simulations and applied to SDSS data.
Findings
Identified five CoSLA candidates with high optical depth at z=2.6-3.3.
Established a strong correlation between Lyα optical depth and mass overdensities in simulations.
Demonstrated the potential of using Lyα forest surveys to trace massive cosmic structures.
Abstract
Modern cosmology predicts that a galaxy overdensity is associated to a large reservoir of the intergalactic gas, which can be traced by the Ly forest absorption. We have undertaken a systematic study of the relation between Coherently Strong intergalactic Ly Absorption systems (CoSLAs), which have highest optical depth () in distribution, and mass overdensities on the scales of 10 - 20 comoving Mpc. On such large scales, our cosmological simulations show a strong correlation between the effective optical depth () of the CoSLAs and the 3-D mass overdensities. In moderate signal-to-noise spectra, however, the profiles of CoSLAs can be confused with high column density absorbers. For , where the corresponding Ly is redshifted to the optical, we have developed the technique to differentiate between these two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
