BISPECTRUM OF THE SUNYAEV-ZEL'DOVICH EFFECT
Bibliographic record
Abstract
We perform a detailed study of the bispectrum of the Sunyaev–Zel'dovich (SZ) effect. Using an analytical model for the pressure profiles of the intracluster medium, we demonstrate the SZ bispectrum to be a sensitive probe of the amplitude of the matter power spectrum parameter σ 8 . We find that the bispectrum amplitude scales as B tSZ ∝σ 11–12 8 , compared to that of the power spectrum, which scales as A tSZ ∝σ 7–9 8 . We show that the SZ bispectrum is principally sourced by massive clusters at redshifts around z ∼ 0.4, which have been well studied observationally. This is in contrast to the SZ power spectrum, which receives a significant contribution from less well understood low-mass and high-redshift groups and clusters. Therefore, the amplitude of the bispectrum at ℓ ∼ 3000 is less sensitive to astrophysical uncertainties than the SZ power spectrum. We show that current high-resolution cosmic microwave background (CMB) experiments should be able to detect the SZ bispectrum amplitude with high significance, in part due to the low contamination from extragalactic foregrounds. A combination of the SZ bispectrum and the power spectrum can sharpen the measurements of thermal and kinetic SZ components and help distinguish cosmological and astrophysical information from high-resolution CMB maps.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".