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Record W4383047557 · doi:10.3847/1538-4357/ace327

Multiwavelength Observations of the Blazar PKS 0735+178 in Spatial and Temporal Coincidence with an Astrophysical Neutrino Candidate IceCube-211208A

2023· preprint· en· W4383047557 on OpenAlexafffund
A. Acharyya, C. B. Adams, A. Archer, P. Bangale, J. T. Bartkoske, W. Benbow, A. Brill, J. H. Buckley, J.L Christiansen, A. J. Chromey, M. Errando, A. Falcone, Q. Feng, G. M. Foote, L. Fortson, A. Furniss, George Gallagher, W. Hanlon, D. Hanna, O. Hervet, C. E. Hinrichs, John Hoang, J. Holder, T. B. Humensky, W. Jin, P. Kaaret, M. Kertzman, M. Kherlakian, D. Kieda, T. K. Kleiner, N. Korzoun, M. J. Lang, M. Lundy, G. Maier, Conor McGrath, J. Millis, C. L. Mooney, P. Moriarty, R. Mukherjee, S. O’Brien, R. A. Ong, M. Pohl, E. Pueschel, J. Quinn, K. Ragan, P. T. Reynolds, D. Ribeiro, E. Roache, I. Sadeh, A. C. Sadun, L. Saha, M. Santander, G. H. Sembroski, M. Splettstoesser, Anjana Talluri, J. V. Tucci, V. V. Vassiliev, A. J. Weinstein, D. A. Williams, S. L. Wong, Jooyun Woo, F Aharonian, J. Aschersleben, Michael Backes, V. Barbosa Martins, R. Batzofin, Y. Becherini, D. Berge, K. Bernlöhr, Baiyang Bi, M Bottcher, C. Boisson, J. Bolmont, Mathieu de Bony de Lavergne, Jowita Borowska, M. Bouyahiaoui, Federica Bradascio, M. Breuhaus, Robert Brose, F. Brun, B. Bruno, T. Bulik, C. Burger-Scheidlin, Sami Caroff, S. Casanova, R. Cecil, J. Celic, M. Cerruti, T. Chand, S. Chandra, A. Chen, James O. Chibueze, O. Chibueze, Garret Cotter, Shi Dai, J. Damascene Mbarubucyeye, A. Djannati-Ataı̈, A. Dmytriiev, Victor Doroshenko, S. Einecke, J.-P. Ernenwein, Gaëtan Fichet de Clairfontaine, M. D. Filipović, G. Fontaine, M. Fussling, S. Funk, S. Gabici, S. Ghafourizadeh, G. Giavitto, D. Glawion, J. F. Glicenstein, P. Goswami, G. Grolleron, L. Haerer, J. A. Hinton, T. L. Holch, M. Holler, D. Horns, M. Jamrozy, F. Jankowsky, Vikas Joshi, I. Jung-Richardt, E. Kasai, K. Katarzyński, R Khatoon, B. Khélifi, S. Klepser, W. Kluźniak, K. Kosack, D. Kostunin, Rodrigo Guedes Lang, S. Le Stum, A. Lemière, J.-P. Lenain, Fabian Leuschner, T. Lohse, Anna Luashvili, I. Lypova, Jonathan Mackey, D. Malyshev, V. Marandon, ¶. Marchegiani, Alexandre Marcowith, G. Martí-Devesa, R. Marx, Adam Mitchell, R. Moderski, L. Mohrmann, Alessandro Montanari, E. Moulin, T. Murach, Kaori Nakashima, J. Niemiec, A. Priyana Noel, P. T. O’Brien, Laura Olivera-Nieto, E. de Oña Wilhelmi, M. Ostrowski, Sebastian Panny, M. Panter, Giada Peron, D. A. Prokhorov, G. Pühlhofer, M. Punch, A. Quirrenbach, Patrick Reichherzer, A. Reimer, O. Reimer, H. Ren, M. Renaud, Frank Rieger, B. Rudak, E. Ruiz-Velasco, V. Sahakian, A. Santangelo, M. Sasaki, Jan Schäfer, F. Schüßler, H. M. Schutte, U. Schwanke, J. N. S. Shapopi, Andreas Specovius, S. Spencer, Ł. Stawarz, R. Steenkamp, S. Steinmassl, I. Sushch, Hiromasa Suzuki, Tadayuki Takahashi, T. Tanaka, R. Terrier, C. van Eldik, M. Vecchi, J. Veh, C. Venter, Jacco Vink, R. White, A. Wierzcholska, Yu Wun Wong, M. Zacharias, D. Zargaryan, A. A. Zdziarski, A. Zech, Samuël Zouari, Natalia Żywucka, Kaya Mori

Bibliographic record

VenueThe Astrophysical Journal · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsMcGill University
FundersJapan Society for the Promotion of ScienceInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaOffice of ScienceAustralian Research CouncilSpace Telescope Science InstituteNational Commission on Research, Science and TechnologyCentre National de la Recherche ScientifiqueUniversity of LeicesterMax-Planck-GesellschaftNational Research FoundationAustrian Science FundBundesministerium für Bildung und ForschungBundesministerium für Bildung, Wissenschaft und ForschungIrish Research CouncilKnut och Alice Wallenbergs StiftelseNuclear Safety and Security CommissionUniversiteit van AmsterdamDeutsche ForschungsgemeinschaftUniversity of NamibiaEGI FederationNational Science FoundationScience Foundation IrelandNational Energy Research Scientific Computing CenterU.S. Department of EnergySmithsonian InstitutionAlexander von Humboldt-StiftungNational Aeronautics and Space Administration
KeywordsPhysicsBlazarFermi Gamma-ray Space TelescopeAstrophysicsNeutrinoSpectral energy distributionPhotonHadronGamma rayAstronomyNuclear physicsGalaxy

Abstract

fetched live from OpenAlex

Abstract We report on multiwavelength target-of-opportunity observations of the blazar PKS 0735+178, located 2.°2 away from the best-fit position of the IceCube neutrino event IceCube-211208A detected on 2021 December 8. The source was in a high-flux state in the optical, ultraviolet, X-ray, and GeV γ-ray bands around the time of the neutrino event, exhibiting daily variability in the soft X-ray flux. The X-ray data from Swift-XRT and NuSTAR characterize the transition between the low-energy and high-energy components of the broadband spectral energy distribution (SED), and the γ-ray data from Fermi-LAT, VERITAS, and H.E.S.S. require a spectral cutoff near 100 GeV. Both the X-ray and γ-ray measurements provide strong constraints on the leptonic and hadronic models. We analytically explore a synchrotron self-Compton model, an external Compton model, and a lepto-hadronic model. Models that are entirely based on internal photon fields face serious difficulties in matching the observed SED. The existence of an external photon field in the source would instead explain the observed γ-ray spectral cutoff in both the leptonic and lepto-hadronic models and allow a proton jet power that marginally agrees with the Eddington limit in the lepto-hadronic model. We show a numerical lepto-hadronic model with external target photons that reproduces the observed SED and is reasonably consistent with the neutrino event despite requiring a high jet power.

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 score0.008
Threshold uncertainty score0.015

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 communication0.0000.000
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 head0.023
GPT teacher head0.246
Teacher spread0.222 · 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

Citations30
Published2023
Admission routes2
Has abstractyes

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