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Record W2782042575 · doi:10.1088/1475-7516/2018/09/005

Results from the Atacama B-mode Search (ABS) experiment

2018· article· en· W2782042575 on OpenAlexafffund

Bibliographic record

VenueJournal of Cosmology and Astroparticle Physics · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCosmology and Gravitation Theories
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersLawrence Berkeley National LaboratoryHigh Energy PhysicsComisión Nacional de Investigación Científica y TecnológicaJapan Society for the Promotion of ScienceUniversity of TorontoNational Science FoundationCompute CanadaGoddard Space Flight CenterNational Aeronautics and Space AdministrationUniversity of PennsylvaniaNational Defense Science and Engineering GraduateU.S. Department of EnergyPrinceton UniversityOffice of ScienceGovernment of Ontario
KeywordsSkyPolarization (electrochemistry)PlanckCosmic microwave backgroundSystematic errorMeasure (data warehouse)MillimeterLinear polarization

Abstract

fetched live from OpenAlex

The Atacama B-mode Search is an experiment designed to measure the cosmic
\nmicrowave background polarization at large angular scales (` > 40). It observes at 145 GHz
\nfrom a site at 5,190 m elevation in northern Chile. The noise equivalent polarization temperature, or NEQ, is 41 µK
\n√
\ns. One of the unique features of ABS is its use of a rapidly
\nrotating ambient-temperature half-wave plate (HWP) as the first optical element. The HWP
\nspins at 2.55 Hz to modulate the incident polarized signal at frequencies above where instrument white noise dominates over atmospheric fluctuations and other sources of low-frequency
\nnoise. We report here on the analysis of data from a 2,400 deg2
\nregion of sky. We perform a
\nblind analysis to reduce potential bias. After unblinding, we find agreement with the Planck
\nTE and EE measurements on the same region of sky, with a derived calibration factor of
\n0.89 ± 0.10. We marginally detect polarized dust emission (at 3.2 σ for EE and 2.2 σ for
\nBB) and give an upper limit on the tensor-to-scalar ratio of r < 2.3 (95% confidence level)
\nwith the equivalent of 100 on-sky days of observation. We also present a new measurement
\nof the polarization of Tau A and introduce new methods for calibration and data analysis
\nassociated with HWP-based observations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.172
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.019
GPT teacher head0.305
Teacher spread0.287 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations52
Published2018
Admission routes2
Has abstractyes

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