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Record W4398184418 · doi:10.1051/0004-6361/202449295

PDRs4All

2024· article· en· W4398184418 on OpenAlexaff
Dries Van De Putte, Raphaël Meshaka, Boris Trahin, E. Habart, E. Peeters, Olivier Berné, Felipe Alarcón, Amélie Canin, Ryan Chown, Ilane Schroetter, Ameek Sidhu, Christiaan Boersma, Émeric Bron, E. Dartois, J. R. Goicoechea, Karl D. Gordon, Takashi Onaka, Alexander G. G. M. Tielens, L. Verstraete, Mark G. Wolfire, A. Abergel, Edwin A. Bergin, J. Bernard‐Salas, J. Cami, S. Cuadrado, D. Dicken, M. Elyajouri, A. Fuente, C. Joblin, Baria Khan, Ozan Lacinbala, David Languignon, Romane Le Gal, Alexandros Maragkoudakis, Yoko Okada, Sofia Pasquini, Marc W. Pound, Massimo Robberto, M. Röllig, Bethany Schefter, Thiébaut Schirmer, Benoît Tabone, S. Vicente, Marion Zannese, Sean W. J. Colgan, Jinhua He, Gaël Rouillé, Aditya Togi, Isabel Aleman, Rebecca Auchettl, G. A. Baratta, Salma Bejaoui, Partha P. Bera, J. H. Black, F. Boulanger, Jordy Bouwman, Bernhard R. Brandl, Philippe Bréchignac, Sandra Brünken, Mridusmita Buragohain, Andrew M. Burkhardt, Alessandra Candian, S. Cazaux, J. Cernicharo, M. Chabot, Shubhadip Chakraborty, Jason Champion, Ilsa R. Cooke, A. Coutens, N. L. J. Cox, Karine Demyk, Jennifer L. Donovan, Sacha Foschino, P. García-Lario, Maryvonne Gérin, C. A. Gottlieb, P. Guillard, A. Gusdorf, Patrick Hartigan, Eric Herbst, Liv Hornekær, Lina Issa, C. Jäger, E. Janot-Pacheco, Olga Kannavou, Michael J. Kaufman, F. Kemper, Sarah Kendrew, M. S. Kirsanova, Pamela Klaassen, Sun Kwok, Á. Labiano, Thomas S. -Y. Lai, Bertrand Le Floch, Franck Le Petit, Aigen Li, H. Linz, Cameron J. Mackie, S. C. Madden, Joe̋lle Mascetti, Brett A. McGuire, Pablo Merino, Elisabetta R. Micelotta, Jon A. Morse, G. Mulas, Naslim Neelamkodan, Ryou Ohsawa, A. Omont, R. Paladini, M. E. Palumbo, Amit Pathak, Y. J. Pendleton, Annemieke Petrignani, Thomas Pino, E. Puga, Naseem Rangwala, Mathias Rapacioli, Jeonghee Rho, Alessandra Ricca, Julia Román-Duval, Joseph Roser, E. Roueff, Farid Salama, Dinalva A. Sales, Karin Sandström, P. J. Sarre, Ella Sciamma-O’Brien, K. Sellgren, S. Shenoy, D. Teyssier, Richard Thomas, Adolf N. Witt, A. Wootten, N. Ysard, Henning Zettergren, Yong Zhang, Z. Zhang, Junfeng Zhen

Bibliographic record

VenueAstronomy and Astrophysics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsUniversity of British ColumbiaWestern University
FundersScience and Engineering Research BoardJapan Society for the Promotion of ScienceAmes Research CenterMinisterio de Ciencia e InnovaciónVetenskapsrådetBanaras Hindu UniversityChinese Academy of SciencesEuropean Research CouncilMinisterio de Ciencia, Innovación y UniversidadesNuclear Safety and Security CommissionDepartment of Science and Technology, Ministry of Science and Technology, IndiaChinese Academy of Sciences South America Center for AstronomySan José State UniversityDeutsche ForschungsgemeinschaftSpace Telescope Science InstituteNational Aeronautics and Space Administration
KeywordsPhysicsAstrophysicsInfraredLine (geometry)Bar (unit)AstronomyEmission spectrumInfrared astronomySpectral lineMeteorology

Abstract

fetched live from OpenAlex

Context. Mid-infrared emission features are important probes of the properties of ionized gas and hot or warm molecular gas, which are difficult to probe at other wavelengths. The Orion Bar photodissociation region (PDR) is a bright, nearby, and frequently studied target containing large amounts of gas under these conditions. Under the “PDRs4All” Early Release Science Program for JWST, a part of the Orion Bar was observed with MIRI integral field unit (IFU) spectroscopy, and these high-sensitivity IR spectroscopic images of very high angular resolution (0.2″) provide a rich observational inventory of the mid-infrared (MIR) emission lines, while resolving the H II region, the ionization front, and multiple dissociation fronts. Aims. We list, identify, and measure the most prominent gas emission lines in the Orion Bar using the new MIRI IFU data. An initial analysis summarizes the physical conditions of the gas and demonstrates the potential of these new data and future IFU observations with JWST. Methods. The MIRI IFU mosaic spatially resolves the substructure of the PDR, its footprint cutting perpendicularly across the ionization front and three dissociation fronts. We performed an up-to-date data reduction, and extracted five spectra that represent the ionized, atomic, and molecular gas layers. We identified the observed lines through a comparison with theoretical line lists derived from atomic data and simulated PDR models. The identified species and transitions are summarized in the main table of this work, with measurements of the line intensities and central wavelengths. Results. We identified around 100 lines and report an additional 18 lines that remain unidentified. The majority consists of H I recombination lines arising from the ionized gas layer bordering the PDR. The H I line ratios are well matched by emissivity coefficients from H recombination theory, but deviate by up to 10% because of contamination by He I lines. We report the observed emission lines of various ionization stages of Ne, P, S, Cl, Ar, Fe, and Ni. We show how the Ne III /Ne II , S IV /S III , and Ar III /Ar II ratios trace the conditions in the ionized layer bordering the PDR, while Fe III /Fe II and Ni III /Ni II exhibit a different behavior, as there are significant contributions to Fe II and Ni II from the neutral PDR gas. We observe the pure-rotational H 2 lines in the vibrational ground state from 0–0 S (1) to 0–0 S (8), and in the first vibrationally excited state from 1–1 S (5) to 1–1 S(9). We derive H 2 excitation diagrams, and for the three observed dissociation fronts, the rotational excitation can be approximated with one thermal (~700 K) component representative of an average gas temperature, and one nonthermal component (~2700 K) probing the effect of UV pumping. We compare these results to an existing model of the Orion Bar PDR, and find that the predicted excitation matches the data qualitatively, while adjustments to the parameters of the PDR model are required to reproduce the intensity of the 0–0 S (6) to S (8) lines.

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)0.002
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: none
Teacher disagreement score0.182
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1820.119

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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

Citations20
Published2024
Admission routes1
Has abstractyes

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