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Record W4366142863 · doi:10.1103/physrevd.107.083515

Cosmology with the galaxy bispectrum multipoles: Optimal estimation and application to BOSS data

2023· article· en· W4366142863 on OpenAlexfundno aff
Mikhail M. Ivanov, Oliver H. E. Philcox, Giovanni Cabass, Takahiro Nishimichi, Marko Simonović, Matías Zaldarriaga

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCosmology and Gravitation Theories
Canadian institutionsnot available
FundersJapan Science and Technology AgencyNational Astronomical Observatory of JapanSpace Telescope Science InstituteCanadian Institute for Advanced ResearchPrinceton UniversityInstitute for Advanced StudySimons Society of FellowsSimons FoundationJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and TechnologyNational Aeronautics and Space Administration
KeywordsBispectrumBossCosmologyGalaxyPhysicsMultipole expansionAstronomyComputer scienceEngineeringSpectral densityTelecommunicationsMechanical engineering

Abstract

fetched live from OpenAlex

We present a framework for self-consistent cosmological analyses of the full-shape anisotropic bispectrum, including the quadrupole ($\ensuremath{\ell}=2$) and hexadecapole ($\ensuremath{\ell}=4$) moments. This features a novel window-free algorithm for extracting the latter quantities from data, derived using a maximum-likelihood prescription. Furthermore, we introduce a theoretical model for the bispectrum multipoles (which does not introduce new free parameters), and test both aspects of the pipeline on several high-fidelity mocks, including the PT Challenge suite of gigantic cumulative volume. This establishes that the systematic error is significantly below the statistical threshold, both for the measurement and modeling. As a realistic example, we extract the large-scale bispectrum multipoles from BOSS DR12 and analyze them in combination with the power spectrum data. Assuming a minimal $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ model, with a BBN prior on the baryon density and a Planck prior on ${n}_{s}$, we can extract the remaining cosmological parameters directly from the clustering data. The inclusion of the unwindowed higher-order ($\ensuremath{\ell}>0$) large-scale bispectrum multipoles is found to moderately improve one-dimensional cosmological parameter posteriors (at the 5%--10% level), though these multipoles are detected only in three out of four BOSS data segments at $\ensuremath{\approx}5\ensuremath{\sigma}$. Combining information from the power spectrum and bispectrum multipoles, the real space power spectrum, and the postreconstructed BAO data, we find ${H}_{0}=68.2\ifmmode\pm\else\textpm\fi{}0.8\text{ }\text{ }\mathrm{km}\text{ }{\mathrm{s}}^{\ensuremath{-}1}\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$, ${\mathrm{\ensuremath{\Omega}}}_{m}=0.33\ifmmode\pm\else\textpm\fi{}0.01$ and ${\ensuremath{\sigma}}_{8}=0.736\ifmmode\pm\else\textpm\fi{}0.033$ (the tightest yet found in perturbative full-shape analyses). Our estimate of the growth parameter ${S}_{8}=0.77\ifmmode\pm\else\textpm\fi{}0.04$ agrees with both weak lensing and CMB results. The estimators and data used in this work have been made publicly available.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.415
Teacher spread0.400 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations83
Published2023
Admission routes1
Has abstractyes

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