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Record W3004014367 · doi:10.1017/pasa.2019.42

Fundamental physics with the Square Kilometre Array

2020· article· en· W3004014367 on OpenAlexafffund
Amanda Weltman, Philip Bull, S. Camera, Katharine Kelley, Hamsa Padmanabhan, Joshua Pritchard, Alvise Raccanelli, Signe Riemer–Sørensen, Lijing Shao, Sambatra Andrianomena, E. Athanassoula, David Bacon, Rennan Barkana, Gianfranco Bertone, Céline Bœhm, Camille Bonvin, A. Bosma, M. Brüggen, C. Burigana, Francesca Calore, José A. R. Cembranos, Chris Clarkson, Riley Connors, Álvaro de la Cruz-Dombriz, Peter K. S. Dunsby, José Fonseca, N. Fornengo, Daniele Gaggero, I. Harrison, Julien Larena, Yin-Zhe Ma, Roy Maartens, Miguel Méndez-Isla, Soumya D. Mohanty, Steven Murray, David Parkinson, Alkistis Pourtsidou, Peter J. Quinn, Marco Regis, Prasenjit Saha, M Sahlén, Mairi Sakellariadou, Joseph Silk, T. Trombetti, F. Vazza, Tejaswi Venumadhav, F. Vidotto, Francisco Villaescusa-Navarro, Y. Wang, Christoph Weniger, Laura Wolz, F. Zhang, B. M. Gaensler

Bibliographic record

VenuePublications of the Astronomical Society of Australia · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersInstitut de Ciències del CosmosErasmus+European Regional Development FundAustralian Research CouncilNatural Sciences and Engineering Research Council of CanadaScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeJet Propulsion LaboratoryFundamental Research Funds for the Central UniversitiesCentro Svizzero di Calcolo ScientificoARC Centre of Excellence for All-Sky AstrophysicsUniversity of Cape TownCentre National de la Recherche ScientifiqueNederlandse Organisatie voor Wetenschappelijk OnderzoekForschungszentrum JülichCanada Research ChairsIstituto Nazionale di Fisica NucleareDepartment of Science and Technology, Ministry of Science and Technology, IndiaJohn Templeton FoundationNational Natural Science Foundation of ChinaUniversità degli Studi di TorinoAgencia Estatal de InvestigaciónUniversity of TorontoMinistero dell’Istruzione, dell’Università e della RicercaNational Research FoundationCalifornia Institute of TechnologyCompagnia di San PaoloEuropean CommissionSimons FoundationUniversities Space Research AssociationEusko JaurlaritzaUniversity of PortsmouthFlatiron HealthNational Aeronautics and Space AdministrationNational Supercomputing Centre SingaporeDipartimenti di EccellenzaNational Science Foundation
KeywordsPhysicsAstroparticle physicsDark energyDark matterCosmologyAstronomyGalaxyGravitationRadio telescopeAstrophysicsPlanetObservational cosmologyCOSMIC cancer database

Abstract

fetched live from OpenAlex

Abstract The Square Kilometre Array (SKA) is a planned large radio interferometer designed to operate over a wide range of frequencies, and with an order of magnitude greater sensitivity and survey speed than any current radio telescope. The SKA will address many important topics in astronomy, ranging from planet formation to distant galaxies. However, in this work, we consider the perspective of the SKA as a facility for studying physics. We review four areas in which the SKA is expected to make major contributions to our understanding of fundamental physics: cosmic dawn and reionisation; gravity and gravitational radiation; cosmology and dark energy; and dark matter and astroparticle physics. These discussions demonstrate that the SKA will be a spectacular physics machine, which will provide many new breakthroughs and novel insights on matter, energy, and spacetime.

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 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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.037
GPT teacher head0.249
Teacher spread0.212 · 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 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

Citations370
Published2020
Admission routes2
Has abstractyes

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