MétaCan
Menu
← Back to cohort
Record W4378465039 · doi:10.48550/arxiv.2305.13754

Long-lasting high state of the high-field polar AR UMa

2023· preprint· en· W4378465039 on OpenAlexfundno aff
Taichi Kato

Bibliographic record

VenuearXiv (Cornell University) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsnot available
FundersDeutsches Elektronen-SynchrotronStockholms UniversitetScience and Technology Facilities CouncilQueen's UniversityCalifornia Institute of TechnologyEuropean CommissionNuclear Safety and Security CommissionSpace Telescope Science InstituteNational Science FoundationUniversity of WashingtonJapan Society for the Promotion of ScienceQueen's University BelfastNational Aeronautics and Space Administration
KeywordsWhite dwarfState (computer science)PhysicsSkyPolarIntermediate polarAstronomyAstrobiologyGeographyAstrophysicsGeologyComputer scienceStars

Abstract

fetched live from OpenAlex

Using ASAS-SN Sky Patrol Photometic Database and Asteroid Terrestrial-impact Last Alert System (ATLAS) data, I found that the high-field polar AR UMa entered a long-lasting high state in 2022 October. This object is renowned for its small duty cycle, and short-lived high states have only been occasionally seen since the discovery. It appears that the present long-lasting high state is the first recorded one at least in the last 30 years and probably even more. Before entering the current long-lasting high state, this object showed three short-lived high states, which might have been precursors to the current state. Before these short-lived high states, the object had been in a low state for 8 years and probably more. I refined the orbital period to be 0.08050066(1) d. The object is still bright and current phenomenon provides a unique opportunity to study accretion processes onto a strongly magnetized white dwarf and to study the mechanism of maintaining the long-lasting high state.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.181
Teacher spread0.139 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuearXiv (Cornell University)→Same topicGamma-ray bursts and supernovae→French-language works237,207→