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A very luminous jet from the disruption of a star by a massive black hole
Igor Andreoni, M. W. Coughlin, D. A. Perley, Yuhan Yao, Wenbin Lu, S. B. Cenko, Harsh Kumar, Shreya Anand, Anna Y. Q. Ho, M. M. Kasliwal, A. de Ugarte Postigo, Ana Sagués Carracedo, S. Schulze, Д. А. Канн, S. R. Kulkarni, J. Sollerman, N. R. Tanvir, A. Rest, L. Izzo, Jean J. Somalwar, D. L. Kaplan, Tomás Ahumada, G. C. Anupama, Katie Auchettl, Sudhanshu Barway, Eric C. Bellm, V. Bhalerao, J. S. Bloom, Michael Bremer, Mattia Bulla, Eric Burns, S. Campana, P. Chandra, P. Charalampopoulos, Jeff Cooke, V. D’Elia, Kaustav K. Das, Dougal Dobie, J. F. Agüí Fernández, James Freeburn, Cristoffer Fremling, Suvi Gezari, Simon Goode, M. J. Graham, Erica Hammerstein, Viraj Karambelkar, C. D. Kilpatrick, Erik C. Kool, Melanie Krips, Russ R. Laher, G. Leloudas, A. J. Levan, M. Lundquist, A. Mahabal, Michael S. Medford, M. Coleman Miller, A. Möller, K. P. Mooley, A. J. Nayana, Guy Nir, P. T. H. Pang, E. Paraskeva, R. A. Perley, G. Petitpas, M. Pursiainen, Vikram Ravi, Ryan Ridden-Harper, Reed Riddle, M. Rigault, Antonio C. Rodriguez, B. Rusholme, Y. Sharma, I. A. Smith, Robert D. Stein, C. C. Thöne, A. Tohuvavohu, F. Valdés, Jan van Roestel, S. D. Vergani, Qinan Wang, Jielai Zhang
Bibliographic record
VenueNature · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsUniversity of Toronto
FundersDeutsches Elektronen-SynchrotronSmithsonian Astrophysical ObservatoryInstituto de Astrofísica de CanariasStockholms UniversitetJunta de AndalucíaNational Astronomical Observatory of JapanIndian Institute of Technology BombayUniversitetet i OsloMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesKorea Astronomy and Space Science InstituteEuropean Southern ObservatoryMax-Planck-GesellschaftNational Science FoundationLiverpool John Moores UniversityInstituto de Astrofísica de AndalucíaNederlandse Organisatie voor Wetenschappelijk OnderzoekSmithsonian InstitutionNordForskVetenskapsrådetScience and Technology Facilities CouncilTurun YliopistoAarhus UniversitetNational Astronomical Research Institute of ThailandVillum FondenGoddard Space Flight CenterPrinceton UniversityUniversity of WashingtonAcademia SinicaWenner-Gren StiftelsernaEuropean CommissionCalifornia Institute of TechnologyCentre National de la Recherche ScientifiqueAgencia Nacional de Investigación y DesarrolloDepartment of Science and Technology, Ministry of Science and Technology, IndiaGordon and Betty Moore FoundationNational Aeronautics and Space AdministrationHáskóli ÍslandsKnut och Alice Wallenbergs Stiftelse
KeywordsAstrophysicsPhysicsJet (fluid)AstronomyStar (game theory)Black hole (networking)MechanicsComputer science
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.501
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.006
GPT teacher head0.221
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Citations122
Published2022
Admission routes1
Has abstractno