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Record W6991468581

Glimpsing at the primordial perturbation field
\n

2018· other· en· W6991468581 on OpenAlexaboutno aff

Bibliographic record

VenuePadua@research (University of Padova) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Power (physics)Spectral densityNoise (video)Filter (signal processing)Ferroresonance in electricity networks
DOInot available

Abstract

fetched live from OpenAlex

In this thesis I will focus on ``non-minimal'' properties of the primordial perturbation field;
\nboth analysing data, and assessing the constraining power of novel probes.
\nIn particular, I will address the problem of finding deviations from a power-law primordial power spectrum, the possibility of better constraining compensated isocurvature perturbations, and detect primordial non-Gaussianity in an ample range of scales.
\n
\nI present a minimally parametric, model independent reconstruction of the shape of the primordial power spectrum. 
\nWe use a comprehensive set of the state-of the art cosmological data:
\n\\Planck observations of the temperature and polarisation anisotropies of the cosmic microwave background (CMB),
\nWiggleZ and Sloan Digital Sky Survey Data Release 7 galaxy power spectra,
\nand the Canada-France-Hawaii Lensing Survey correlation function.
\nThis reconstruction strongly supports the evidence for a power law primordial power spectrum with a red tilt and disfavours deviations from a power law power spectrum including small-scale power suppression such as that induced by significantly massive neutrinos.
\nThis offers a powerful confirmation of the inflationary paradigm, justifying the adoption of the inflationary prior in cosmological analyses.
\n
\nWe develop a linear perturbation theory for the spectral $y$-distortions of the CMB.
\nThe $y$-distortions generated during the recombination epoch are usually negligible because the energy transfer due to the Compton scattering is strongly suppressed at that time, but they can be significant if there is are compensated isocurvature perturbations with large amplitude.
\nSince $y$-distortions explicitly depend on the baryon density fluctuations, they can be used to detect and constrain compensated isocurvature perturbations (CIPs) models.
\nWe compute the cross correlation functions of the $y$-distortions with the CMB temperature and the $E$-mode polarization anisotropies ($T$, $E$ respectively).
\nWe investigate how well measurements of $y$-anisotropies provided by a 
\nPIXIE-like and a PRISM-like survey,
\nLiteBIRD, and a cosmic variance limited (CVL) survey, will constrain $f'=\\Delta^2_{\\zeta \\text{CIP}}/\\Delta^2_{\\zeta \\zeta}$,
\nand find that the degradation in constraining power due to the presence of Sunyaev Zel’dovich effect from galaxy clusters
\nwill prevent detections unless the amplitude of CIP is unnaturally high, with forecasted upper limits of, \\eg
\n$f'<2 \\times 10^5$ (68\\% C.L.) with LiteBIRD, and $f'<2 \\times 10^4$ (68\\% C.L.) with CVL observations.
\n
\nCross-correlations between CMB temperature and $y$-distortions anisotropies have been previously proposed as a way to measure the local bispectrum parameter $\\fnl^\\text{loc}$ in a range of scales much smaller than those accessible to CMB primary anisotropies.
\nUnfortunately, the primordial $y$-$T$ signal is strongly contaminated by the late-time correlation between the Integrated Sachs Wolfe and \\SZ (SZ) effects.
\nMoreover, SZ itself generates a large noise contribution in the $y$-parameter map. 
\nWe consider two original ways to address these issues:
\nTo remove the bias due to the SZ-CMB temperature coupling, while also adding new signal, we include in the analysis the $y$-$E$ cross-correlation.
\nIn order to reduce the noise, we propose to clean the $y$-map by subtracting a SZ template, reconstructed via cross-correlation with external tracers.
\nWe combine this SZ template subtraction with the previously adopted solution of directly masking detected clusters.
\nOur forecasts show that, using $y$-distortions, a PRISM-like survey can achieve $\\fnl^\\text{loc} < 300$ (68\\% C.L.), while an ideal experiment will achieve $\\fnl^\\text{loc} < 130$, with improvements of a factor $\\sim 3$ from adding the $y$-$E$ signal, and a further $20 \\sim 30 \\%$ from template cleaning.
\nThese forecasts are much worse than current $\\fnl^\\text{loc}$ boundaries from Planck, but we stress again that they refer to completely different scales.

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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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0510.022

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 head0.063
GPT teacher head0.320
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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