Agnostic Stacking of Intergalactic Doublet Absorption: Measuring the NeVIII Population
Stephan Frank (1), Matthew M. Pieri (2), Smita Mathur (1), Charles W., Danforth (3), J. Michael Shull (3) ((1) The Ohio State University, (2), Laboratoire d'Astrophysique de Marseille, (3) CASA, University of Colorado)

TL;DR
This paper introduces an agnostic stacking method to detect intergalactic NeVIII absorption, finds no significant detections, and estimates the NeVIII cosmic mass density, which is lower than recent simulations predict.
Contribution
The paper presents a novel agnostic stacking approach for detecting intergalactic metal absorption without source knowledge, applied to NeVIII, providing new constraints on its population.
Findings
No NeVIII absorption detected in stacked spectra.
NeVIII population follows a power-law column density distribution.
Estimated NeVIII cosmic mass density is lower than simulation predictions.
Abstract
We present a blind search for doublet intergalactic metal absorption with a method dubbed `agnostic stacking'. Using a forward-modelling framework we combine this with direct detections in the literature to measure the overall metal population. We apply this novel approach to the search for NeVIII absorption in a set of 26 high-quality COS spectra. We probe to an unprecedented low limit of log N12.3 at 0.471.34 over a pathlength z = 7.36. This method selects apparent absorption without requiring knowledge of its source. Stacking this mixed population dilutes doublet features in composite spectra in a deterministic manner, allowing us to measure the proportion corresponding to NeVIII absorption. We stack potential NeVIII absorption in two regimes: absorption too weak to be significant in direct line studies (12.3 log N 13.7), and strong absorbers (log N…
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.
