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Record W6964591736 · doi:10.25919/762j-qh09

ASKAP Project AS103: Prototype Faraday rotation catalogs from the POSSUM pilot observations

2024· dataset· en· W6964591736 on OpenAlexaff

Bibliographic record

VenueCSIRO · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsNational Research Council CanadaUniversity of Toronto
Fundersnot available
KeywordsResolution (logic)Rotation (mathematics)Faraday effectImage resolutionComponent (thermodynamics)Sensitivity (control systems)Intensity (physics)

Abstract

fetched live from OpenAlex

This collection contains post-processed image and catalog data products analyzed in Vanderwoude et al 2024. Stokes IQU full image cubes: POSSUM pilot I low-band observation SB10635, convolved to 21 arcsecond resolution across all frequency channels (cubes image.restored.*.SB10635.contcube.linmos.21arcsec.fits). POSSUM pilot II low-band observation SB43773, convolved to 16.5 arcsecond resolution across all frequency channels (cubes image.restored.*.SB43773.band1.contcube.16.5arcsec.fits. Stokes IQU uniform sensitivity regions: These cubes are cutouts of the full image cubes, that contain the regions of uniform sensitivity in Vanderwoude et al (2024). The cutouts are slightly larger than the define regions to allow for spectrum extaction of components near the edge of the region. These cutouts include the low-band POSSUM pilot I observation SB10635 (cubes SB10635.*.uniform.sens.reg.fits) at 21 arcsecond resolution, the mid-band POSSUM pilot I observation SB10043 at 13 arcsecond resolution (cubes SB10043.*.uniform.sens.reg.13arcsec.fits) and 21 arcsecond resolution (cubes SB10043.i.uniform.sens.reg.21arcsec.fits; these were used to combine the low- and mid-band spectra), and the low-band POSSUM pilot II observation SB43773 at 16.5 arcsecond resolution (cubes SB43773.*.uniform.sens.reg.fits). Multi-frequency synthesis Stokes I images: Zeroth order multi-frequency Taylor series (Taylor 0) images for three observations: SB10635 (image.i.SB10635.cont.taylor.0.restored.conv.fits), SB10043 (image.i.SB10043.cont.taylor.0.restored.fits), and SB43773 (image.i.SB43773.cont.taylor.0.restored.conv.fits). These images were used to produce the total intensity component catalogues (described below). Selavy total intensity component catalogues: Total intensity component catalogues for three observations: SB10635 (selavy-image.i.SB10635.cont.taylor.0.restored.conv.components.xml), SB10043 (selavy-image.i.SB10043.cont.taylor.0.restored.components.xml), and SB43773 (selavy-image.i.EMU_1554-55_band1.SB43773.cont.taylor.0.restored.conv.components.xml). The Selavy source finder was run on the individual Stokes I Taylor 0 images (described above) to produce the respective component catalogues. RM catalogues: Faraday rotation measure (RM) catalogues for three observations (SB10635, SB10043, and SB43773) and a combined observation (SB10635 and SB10043), both with and without a median filter applied. The catalogues are in the RMTable standard format (2023ApJS..267...28V). Median filtered catalogues have "medfilt" in the name and unfiltered catalogues have "nofilt" in the name. The combined low- and mid-band pilot I observations have "combined" in the name.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.040
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.023

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 head0.100
GPT teacher head0.323
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2024
Admission routes1
Has abstractyes

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