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Record W4311816095 · doi:10.1051/0004-6361/202244684

Forbidden hugs in pandemic times

2022· article· en· W4311816095 on OpenAlexfundno aff
A. Pastorello, G. Valerin, M. Fraser, A. Reguitti, N. Elias–Rosa, A. V. Filippenko, C. Rojas-Bravo, L. Tartaglia, T. Reynolds, S. Valenti, Jennifer E. Andrews, C. Ashall, K. Azalee Bostroem, Thomas G. Brink, J. Burke, Yongzhi Cai, E. Cappellaro, D. A. Coulter, Raya Dastidar, Kyle W. Davis, G. Dimitriadis, A. Fiore, R. J. Foley, D. Fugazza, L. Galbany, Anjasha Gangopadhyay, Stefan Geier, C. P. Gutiérrez, J. B. Haislip, D. Hiramatsu, S. Holmbo, D. A. Howell, E. Y. Hsiao, T. Hung, Saurabh W. Jha, E. Kankare, E. Karamehmetoglu, C. D. Kilpatrick, R. Kotak, Vladimir Kouprianov, T. Kravtsov, Sahana Kumar, Z.-T. Li, M. Lundquist, Peter Lundqvist, K. Matilainen, P. A. Mazzali, C. McCully, Kuntal Misra, A. Morales-Garoffolo, S. Moran, N. Morrell, Megan Newsome, Estefania Padilla Gonzalez, Y. C. Pan, C. Pellegrino, M. M. Phillips, G. Pignata, Anthony L. Piro, D. Reichart, A. Rest, I. Salmaso, David J. Sand, M. R. Siebert, S. J. Smartt, K. Smith, Shubham Srivastav, M. Stritzinger, K. Taggart, Samaporn Tinyanont, Shengyu Yan, Lingzhi Wang, Xiaofeng Wang, S. C. Williams, S. Wyatt, T.-M. Zhang, Thomas de Boer, K. C. Chambers, Hua Gao, E. A. Magnier

Bibliographic record

VenueAstronomy and Astrophysics · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsnot available
FundersLos Alamos National LaboratoryEuropean Social FundPlanetary Science DivisionAgencia Estatal de InvestigaciónDeutsches Elektronen-SynchrotronScience and Technology Facilities CouncilScience Mission DirectorateTurun YliopistoSmithsonian Astrophysical ObservatoryJet Propulsion LaboratoryHeising-Simons FoundationInstituto de Astrofísica de CanariasEötvös Loránd TudományegyetemInstitute for Data Intensive Research in Astrophysics and Cosmology, University of WashingtonAgencia Nacional de Investigación y DesarrolloStockholms UniversitetJohns Hopkins UniversityUniversitetet i OsloMinisterio de Ciencia e InnovaciónNational Central UniversityHáskóli ÍslandsMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesNuclear Safety and Security CommissionChinese Academy of SciencesAarhus UniversitetLiverpool John Moores UniversityChina Postdoctoral Science FoundationNational Science FoundationScience Foundation IrelandMinistero dell’Istruzione, dell’Università e della RicercaGordon and Betty Moore FoundationQueen's University BelfastMax-Planck-Institut für AstronomieEuropean Regional Development FundAcademy of FinlandQueen's UniversityVillum FondenUniversity of EdinburghUniversity of California ObservatoriesChinese Academy of Sciences South America Center for AstronomyUniversity of ArizonaUniversity of WashingtonTencentNational Astronomical Observatories, Chinese Academy of SciencesCalifornia Institute of TechnologyNASA Exoplanet Science InstituteAdolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California BerkeleyW. M. Keck FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaKorea Astronomy and Space Science InstituteSpace Telescope Science InstituteNational Aeronautics and Space AdministrationWashington Research FoundationIstituto Nazionale di AstrofisicaDurham UniversityNational Natural Science Foundation of ChinaSmithsonian Institution
KeywordsPhysicsAstrophysicsPandemicAstronomyCoronavirus disease 2019 (COVID-19)Medicine

Abstract

fetched live from OpenAlex

We present photometric and spectroscopic data on three extragalactic luminous red novae (LRNe): AT 2018bwo , AT 2021afy , and AT 2021blu . AT 2018bwo was discovered in NGC 45 (at about 6.8 Mpc) a few weeks after the outburst onset. During the monitoring period, the transient reached a peak luminosity of 10 40 erg s −1 . AT 2021afy , hosted by UGC 10043 (∼49.2 Mpc), showed a double-peaked light curve, with the two peaks reaching a similar luminosity of 2.1(±0.6)×10 41 erg s −1 . Finally, for AT 2021blu in UGC 5829 (∼8.6 Mpc), the pre-outburst phase was well-monitored by several photometric surveys, and the object showed a slow luminosity rise before the outburst. The light curve of AT 2021blu was sampled with an unprecedented cadence until the object disappeared behind the Sun, and it was then recovered at late phases. The light curve of LRN AT 2021blu shows a double peak, with a prominent early maximum reaching a luminosity of 6.5 × 10 40 erg s −1 , which is half of that of AT 2021afy . The spectra of AT 2021afy and AT 2021blu display the expected evolution for LRNe: a blue continuum dominated by prominent Balmer lines in emission during the first peak, and a redder continuum consistent with that of a K-type star with narrow absorption metal lines during the second, broad maximum. The spectra of AT 2018bwo are markedly different, with a very red continuum dominated by broad molecular features in absorption. As these spectra closely resemble those of LRNe after the second peak, AT 2018bwo was probably discovered at the very late evolutionary stages. This would explain its fast evolution and the spectral properties compatible with that of an M-type star. From the analysis of deep frames of the LRN sites years before the outburst, and considerations of the light curves, the quiescent progenitor systems of the three LRNe were likely massive, with primaries ranging from about 13 M ⊙ for AT 2018bwo , to 14 −1 +4 M ⊙ for AT 2021blu , and over 40 M ⊙ for AT 2021afy .

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0450.004

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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