A spectral stacking analysis to search for faint outflow signatures in z~6 quasars
F. Stanley, J. B. Jolly, S. K\"onig, K. K. Knudsen (Department of, Space, Earth, Environment, Chalmers University of Technology)

TL;DR
This study employs spectral stacking of ALMA data to search for faint high-velocity outflow signatures in z~6 quasars, providing tentative evidence of broad emission components indicative of outflows.
Contribution
It introduces a spectral stacking method tailored for interferometric data to detect faint outflow signals in high-redshift quasars, a novel approach in this context.
Findings
Tentative detection of broad emission line component in stacked spectra.
Broad component characterized by FWHM > 700 km/s.
Sub-sample stacking enhances outflow signal detection.
Abstract
Outflows in quasars during the early epochs of galaxy evolution are an important part of the feedback mechanisms potentially affecting the evolution of the host galaxy. However, systematic observations of outflows are only now becoming possible with the advent of sensitive mm telescopes. In this study we use spectral stacking methods to search for faint high velocity outflow signal in a sample of [C II] detected, z ~ 6 quasars. We search for broad emission line signatures from high-velocity outflows for a sample of 26 z ~ 6 quasars observed with ALMA, with a detection of the [C II] line. The observed emission lines of the sources are dominated by the host galaxy, and outflow emission is not detected for the individual sources. We use a spectral line stacking analysis developed for interferometric data to search for outflow emission. We stack both extracted spectra and the full spectral…
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.
