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Record W4402099961 · doi:10.1093/mnras/stae2035

The 3D Lyman-<i>α</i> forest power spectrum from eBOSS DR16

2024· article· en· W4402099961 on OpenAlexfundno aff
Roger de Belsunce, Oliver H. E. Philcox, Vid Iršič, Patrick McDonald, Julien Guy, N. Palanque‐Delabrouille

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersOffice of ScienceMax-Planck-Institut für AstronomieUniversity of Colorado BoulderMinistério da Ciência, Tecnologia e InovaçãoUniversity of OxfordYork UniversityNational Energy Research Scientific Computing CenterLeibniz-GemeinschaftUniversity of Notre DameSimons Society of FellowsCarnegie Mellon UniversityAlfred P. Sloan FoundationUniversity of WashingtonJohns Hopkins UniversityCarnegie Institution of WashingtonUniversity of UtahOhio State UniversityU.S. Department of EnergyKavli FoundationSmithsonian InstitutionNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityYale University
KeywordsPhysicsSpectral densityRedshiftAstrophysicsSpectral lineGalaxyStatisticsQuantum mechanics

Abstract

ABSTRACT We measure the three-dimensional power spectrum (P3D) of the transmitted flux in the Lyman-$\alpha$ (Ly $\alpha$) forest using the complete extended Baryon Oscillation Spectroscopic Survey data release 16 (eBOSS DR16). This sample consists of $\sim$205 000 quasar spectra in the redshift range $2\le z \le 4$ at an effective redshift $z=2.334$. We propose a pair-count spectral estimator in configuration space, weighting each pair by $\exp (i\mathbf {k}\cdot \mathbf {r})$, for wave vector $\mathbf {k}$ and pixel pair separation $\mathbf {r}$, effectively measuring the anisotropic power spectrum without the need for fast Fourier transforms. This accounts for the window matrix in a tractable way, avoiding artefacts found in Fourier-transform based power spectrum estimators due to the sparse sampling transverse to the line of sight of Ly $\alpha$ skewers. We extensively test our pipeline on two sets of mocks: (i) idealized Gaussian random fields with a sparse sampling of Ly $\alpha$ skewers, and (ii) log-normal LyaCoLoRe mocks including realistic noise levels, the eBOSS survey geometry and contaminants. On eBOSS DR16 data, the Kaiser formula with a non-linear correction term obtained from hydrodynamic simulations yields a good fit to the power spectrum data in the range $(0.02 \le k \le 0.35)\, h\, {\rm Mpc}^{-1}\,$ at the 1–2σ level with a covariance matrix derived from LyaCoLoRe mocks. We demonstrate a promising new approach for full-shape cosmological analyses of Ly $\alpha$ forest data from cosmological surveys such as eBOSS, the currently observing Dark Energy Spectroscopic Instrument and future surveys such as the Prime Focus Spectrograph, WEAVE-QSO, and 4MOST.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: fund_new · design weight: 1678.90 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Cosmology measurement of the 3D Lyman-alpha forest power spectrum from eBOSS; the object is large-scale structure.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The paper measures a cosmological power spectrum and evaluates its modeling pipeline.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Cosmology measurement of the 3D Lyman-alpha forest power spectrum.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.004
GPT teacher head0.187
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMonthly Notices of the Royal Astronomical SocietySame topicGalaxies: Formation, Evolution, PhenomenaFrench-language works237,207