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Record W3104491377

[no title]

2019· article· en· W3104491377 on OpenAlex
Jia-Wei Wang, S. Lai, Chakali Eswaraiah, Kate Pattle, James Di Francesco, Doug Johnstone, Patrick M. Koch, Tie Liu, Motohide Tamura, Ray S. Furuya, Takashi Onaka, D. Ward–Thompson, Archana Soam, Kee‐Tae Kim, Chang Won Lee, Chin‐Fei Lee, Steve Mairs, D. Arzoumanian, Gwanjeong Kim, Thiem Hoang, Jihye Hwang, Sheng‐Yuan Liu, David Berry, Pierre Bastien, Tetsuo Hasegawa, Woojin Kwon, Keping Qiu, P. André, Yusuke Aso, Do‐Young Byun, Huei-Ru Vivien Chen, Michael Chun-Yuan Chen, Tao-Chung Ching, Jungyeon Cho, Minho Choi, A. Chrysostomou, Eun Jung Chung, Simon Coudé, Yasuo Doi, C. D. Dowell, E. Drabek-Maunder, Hao-Yuan Duan, S. P. S. Eyres, S. A. E. G. Falle, Lapo Fanciullo, Jason Fiege, Erica Franzmann, Per Friberg, Rachel Friesen, G. A. Fuller, T. M. Gledhill, Sarah Graves, J. S. Greaves, M. J. Griffin, Qilao Gu, Ilseung Han, J. Hatchell, Saeko S. Hayashi, W. S. Holland, Martin Houde, Tsuyoshi Inoue, Shu‐ichiro Inutsuka, Kazunari Iwasaki, Il-Gyo Jeong, Yoshihiro Kanamori, Ji‐hyun Kang, Miju Kang, Sung-Ju Kang, Akimasa Kataoka, Koji S. Kawabata, F. Kemper, Jongsoo Kim, Kyoung Hee Kim, Mi-Ryang Kim, Shinyoung Kim, J. M. Kirk, Masato I. N. Kobayashi, V. Könyves, Jungmi Kwon, Kevin Lacaille, Hyeseung Lee, Jeong‐Eun Lee, Sang-Sung Lee, Yong-Hee Lee, Di Li, Hua-bai Li, Hongli Liu, Junhao Liu, A-Ran Lyo, M. Matsumura, Brenda C. Matthews, G. H. Moriarty‐Schieven, Tetsuya Nagata, Fumitaka Nakamura, Hiroyuki Nakanishi, Nagayoshi Ohashi, Geumsook Park, Harriet Parsons, E. Pascale, N. Peretto, Andy Pon, Tae‐Soo Pyo, Lei Qian, Ramprasad Rao, Mark G. Rawlings, Brendan Retter, John Richer, A. J. Rigby, Jean‐François Robitaille, Sarah Sadavoy, Hiro Saito, G. Savini, Anna M. M. Scaife, Masumichi Seta, Hiroko Shinnaga, Ya‐Wen Tang, Kohji Tomisaka, Yusuke Tsukamoto, S. Van Loo, Hongchi Wang, A. P. Whitworth, Hsi-Wei Yen, Hyunju Yoo, Jinghua Yuan, Hyeong-Sik Yun, Tetsuya Zenko, Chuan-Peng Zhang, Guoyin Zhang, Yapeng Zhang, Jianjun Zhou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsMcMaster UniversityDalhousie UniversityUniversity of ManitobaWestern UniversityNational Research Council CanadaUniversité de MontréalCentre for Research in Astrophysics of QuébecUniversity of VictoriaHerzberg Institute of Astrophysics
FundersMinistry of Science and Technology, Taiwan
KeywordsJames Clerk Maxwell TelescopePhysicsMagnetic fieldProtein filamentAstrophysicsPolarization (electrochemistry)PolarimeterStar formationPolarimetryGalaxyOpticsMaterials science
DOInot available

Abstract

fetched live from OpenAlex

We present the 850 μm polarization observations toward the IC 5146 filamentary cloud taken using the Submillimetre Common-User Bolometer Array 2 (SCUBA-2) and its associated polarimeter (POL-2), mounted on the James Clerk Maxwell Telescope, as part of the B-fields In STar forming Regions Observations. This work is aimed at revealing the magnetic field morphology within a core-scale (lesssim1.0 pc) hub-filament structure (HFS) located at the end of a parsec-scale filament. To investigate whether the observed polarization traces the magnetic field in the HFS, we analyze the dependence between the observed polarization fraction and total intensity using a Bayesian approach with the polarization fraction described by the Rice likelihood function, which can correctly describe the probability density function of the observed polarization fraction for low signal-to-noise ratio data. We find a power-law dependence between the polarization fraction and total intensity with an index of 0.56 in A V ~ 20–300 mag regions, suggesting that the dust grains in these dense regions can still be aligned with magnetic fields in the IC 5146 regions. Our polarization maps reveal a curved magnetic field, possibly dragged by the contraction along the parsec-scale filament. We further obtain a magnetic field strength of 0.5 ± 0.2 mG toward the central hub using the Davis–Chandrasekhar–Fermi method, corresponding to a mass-to-flux criticality of ~1.3 ± 0.4 and an Alfvénic Mach number of <0.6. These results suggest that gravity and magnetic field are currently of comparable importance in the HFS and that turbulence is less important.

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.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.001
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 head0.026
GPT teacher head0.242
Teacher spread0.216 · 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