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Record W4288417067 · doi:10.48550/arxiv.1903.04944

"SZ spectroscopy" in the coming decade: Galaxy cluster cosmology and\n astrophysics in the submillimeter

2019· preprint· W4288417067 on OpenAlexaff
Kaustuv Basu, Jens Erler, Jens Chluba, Jacques Delabrouille, J. Colin Hill, Tony Mroczkowski, Michael D. Niemack, M. Remazeilles, Jack Sayers, D. Scott, Eve M. Vavagiakis, M. Zemcov, Manuel Aravena, James G. Bartlett, Nicholas Battaglia, F. Bertoldi, Maude Charmetant, S. R. Golwala, T. Herter, Pamela Klaassen, Eiichiro Komatsu, B. Magnelli, A. Mantz, P. Daniel Meerburg, Jean-Baptiste Melin, Daisuke Nagai, Stephen C. Parshley, É. Pointecouteau, M. E. Ramos-Ceja, Mateusz Ruszkowski, Neelima Sehgal, Gordon Stacey, R. A. Sunyaev

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Language
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsMcGill University
Fundersnot available
KeywordsCosmic microwave backgroundPlanckPhysicsAstrophysicsGalaxy clusterAstronomyGalaxyCosmologySatelliteMillimeterCOSMIC cancer databaseCluster (spacecraft)Computer scienceOptics

Abstract

fetched live from OpenAlex

Sunyaev-Zeldovich (SZ) effects were first proposed in the 1970s as tools to\nidentify the X-ray emitting hot gas inside massive clusters of galaxies and\nobtain their velocities relative to the cosmic microwave background (CMB). Yet\nit is only within the last decade that they have begun to significantly impact\nastronomical research. Thanks to the rapid developments in CMB instrumentation,\nmeasurement of the dominant thermal signature of the SZ effects has become a\nroutine tool to find and characterize large samples of galaxy clusters and to\nseek deeper understanding of several important astrophysical processes via\nhigh-resolution imaging studies of many targets. With the notable exception of\nthe Planck satellite and a few combinations of ground-based observatories, much\nof this "SZ revolution" has happened in the photometric mode, where\nobservations are made at one or two frequencies in the millimeter regime to\nmaximize the cluster detection significance and minimize the foregrounds.\nStill, there is much more to learn from detailed and systematic analyses of the\nSZ spectra across multiple wavelengths, specifically in the submillimeter (>300\nGHz) domain. The goal of this Science White Paper is to highlight this\nparticular aspect of SZ research, point out what new and potentially\ngroundbreaking insights can be obtained from these studies, and emphasize why\nthe coming decade can be a golden era for SZ spectral measurements.\n

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
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 head0.047
GPT teacher head0.205
Teacher spread0.159 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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