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Record W4417277130 · doi:10.1093/mnras/staf2200

A unified Maxwell–Bloch framework for multiperiodic 6.7 GHz methanol flaring in G9.62 + 0.20E

2025· article· en· W4417277130 on OpenAlexafffund
T. Rashidi, V. Anari, O. Powles, Gordon MacLeod, Yoshihiro Tanabe, Yoshinori Yonekura, Fereshteh Rajabi

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsWestern UniversityMcMaster University
FundersJapan Society for the Promotion of ScienceMinistry of Colleges and UniversitiesInstitut Périmètre de physique théoriqueNatural Sciences and Engineering Research Council of CanadaNational Astronomical Observatory of JapanGovernment of Canada
KeywordsSuperradianceYield (engineering)Transient (computer programming)MethanolSolar flare

Abstract

fetched live from OpenAlex

ABSTRACT We analyse a decade of 6.7 GHz methanol monitoring data in G9.62 + 0.20E, confirming the known periodicities of $p_{1} = 241.3 \pm 2.3$ d and $p_{2} = 52.5 \pm 0.3$ d, and identifying three new cycles at $p_{3} = 127.0 \pm 1.6$ d, $p_{4} = 163.9 \pm 2.9$ d, and $p_{5} = 204.1 \pm 1.5$ d. The 241.3-d and 204.1-d periods occur in multiple velocity channels, while the others are confined to single components. Despite their diverse morphologies and time-scales, all flares can be reproduced within a unified Maxwell–Bloch framework operating in the fast-transient superradiance regime, driven by narrow periodic pump excitations. Model fits yield consistent environmental parameters across periodicities (temperatures, collisional time-scales), pointing to broadly uniform physical conditions in the masing region. The discovery of new periodicities and their unified Maxwell–Bloch modelling provide a consistent picture of multiperiodic flaring in G9.62 + 0.20E and support superradiance as a general framework for flaring in maser-hosting regions.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.243
Teacher spread0.234 · 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 designSimulation or modeling
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
Published2025
Admission routes2
Has abstractyes

Explore more

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