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Record W3099095520 · doi:10.1051/0004-6361/201424955

<i>Planck</i>intermediate results

2015· article· en· W3099095520 on OpenAlexaff
P. A. R. Ade, N. Aghanim, G. Aniano, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A. J. Banday, R. B. Barreiro, N. Bartolo, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, A. Bonaldi, L. Bonavera, J. R. Bond, J. Borrill, F. R. Bouchet, F. Boulanger, C. Burigana, R. C. Butler, E. Calabrese, J.-F. Cardoso, J. M. Casandjian, A. Catalano, A. Chamballu, H. C. Chiang, P. R. Christensen, L. P. L. Colombo, C. Combet, F. Couchot, B. P. Crill, A. Curto, F. Cuttaia, L. Danese, R. D. Davies, R. J. Davis, P. de Bernardis, A. de Rosa, G. de Zotti, J. Delabrouille, F.–X. Désert, C. Dickinson, J. M. Diego, S. W. Digel, H. Dole, S. Donzelli, O. Doré, M. Douspis, A. Ducout, X. Dupac, G. Efstathiou, F. Elsner, T. A. Enßlin, H. K. Eriksen, E. Falgarone, F. Finelli⋆, O. Forni, M. Frailis, A. A. Fraisse, E. Franceschi, A. Frejsel, Y. Fukui, S. Galeotta, S. Galli, K. Ganga, T. Ghosh, M. Giard, E. Gjerløw, J. González-Nuevo, K. M. Górski, A. Gregorio, I. A. Grenier, A. Gruppuso, F. K. Hansen, D. Hanson, D. L. Harrison, S. Henrot–Versillé, C. Hernández-Monteagudo, D. Herranz, S. R. Hildebrandt, E. Hivon, W. A. Holmes, W. Hovest, K. M. Huffenberger, G. Hurier, A. H. Jaffe, T. R. Jaffe, W. C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, T. S. Kisner, R. Kneißl, J. Knoche, M. Kunz, H. Kurki‐Suonio, G. Lagache, J.–M. Lamarre, A. Lasenby, M. Lattanzi, C. R. Lawrence, R. Leonardi, F. Levrier, M. Liguori, P. B. Lilje, M. Linden-Vørnle, M. López-Caniego, P. M. Lubin, J. F. Macías–Pérez, B. Maffei, D. Maino, N. Mandolesi, M. Maris, D. J. Marshall, P. G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, A. Melchiorri, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J. A. Murphy, P. Naselsky, P. Natoli, H. U. Nørgaard-Nielsen, D. Novikov, I. Novikov, C. A. Oxborrow, L. Pagano, F. Pajot, R. Paladini, D. Paoletti, F. Pasian, O. Perdereau, L. Perotto, F. Perrotta, V. Pettorino, F. Piacentini, M. Piat, S. Plaszczynski, É. Pointecouteau, G. Polenta, L. Popa, G. W. Pratt, S. Prunet, J.‐L. Puget, J. P. Rachen, W. T. Reach, R. Rébolo, M. Reinecke, M. Remazeilles, C. Renault, I. Ristorcelli, G. Rocha, G. Roudier, B. Rusholme, M. Sandri, D. Santos, D. Scott, L. D. Spencer, V. Stolyarov, A. W. Strong, R. Sudiwala, R. Sunyaev, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J. A. Tauber, L. Terenzi, L. Tibaldo, L. Toffolatti, M. Tomasi, M. Tristram, G. Umana, L. Valenziano, J. Väliviita, B. Van Tent, P. Vielva, F. Villa, L. A. Wade, B. D. Wandelt, I. K. Wehus, D. Yvon, A. Zacchei, A. Zonca

Bibliographic record

VenueAstronomy and Astrophysics · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsUniversity of British ColumbiaMcGill UniversityUniversity of Toronto
FundersCentre National d’Etudes SpatialesFundação para a Ciência e a TecnologiaIstituto Nazionale di Fisica NucleareAgenzia Spaziale ItalianaCommissariat à l'Énergie Atomique et aux Énergies AlternativesIstituto Nazionale di AstrofisicaMinistério da Ciência, Tecnologia e Ensino SuperiorUK Space AgencyHigh Energy Accelerator Research OrganizationMinisterio de Ciencia e InnovaciónCentre National de la Recherche ScientifiqueInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilTekesNational Aeronautics and Space AdministrationPartnership for Advanced Computing in Europe AISBLChina Scholarship CouncilMinistry of Education, Culture, Sports, Science and TechnologyMax-Planck-GesellschaftInstitut Universitaire de FranceU.S. Department of EnergyVetenskapsrådetScience Foundation IrelandJapan Aerospace Exploration Agency
KeywordsPhysicsPlanckAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

The nearby Chamaeleon clouds have been observed in rays by the Fermi Large Area Telescope (LAT) and in thermal dust emission by Planck and IRAS. Cosmic rays and large dust grains, if smoothly mixed with gas, can jointly serve with the H and 12 CO radio data to (i) map the hydrogen column densities, N H , in the different gas phases, in particular at the dark neutral medium (DNM) transition between the H -bright and CO-bright media; (ii) constrain the CO-to-H 2 conversion factor, X CO ; and (iii) probe the dust properties per gas nucleon in each phase and map their spatial variations across the clouds. We have separated clouds at local, intermediate, and Galactic velocities in H and 12 CO line emission to model in parallel the -ray intensity recorded between 0.4 and 100 GeV; the dust optical depth at 353 GHz, 353 ; the thermal radiance of the large grains; and an estimate of the dust extinction, A VQ , empirically corrected for the starlight intensity. The dust and -ray models have been coupled to account for the DNM gas. The consistent -ray emissivity spectra recorded in the different phases confirm that the GeV-TeV cosmic rays probed by the LAT uniformly permeate all gas phases up to the 12 CO cores. The dust and cosmic rays both reveal large amounts of DNM gas, with comparable spatial distributions and twice as much mass as in the CO-bright clouds. We give constraints on the H -DNM-CO transitions for five separate clouds. CO-dark H 2 dominates the molecular columns up to A V 0.9 and its mass often exceeds the one-third of the molecular mass expected by theory. The corrected A VQ extinction largely provides the best fit to the total gas traced by the rays. Nevertheless, we find evidence for a marked rise in A VQ /N H with increasing N H and molecular fraction, and with decreasing dust temperature. The rise in 353 /N H is even steeper. We observe variations of lesser amplitude and orderliness for the specific power of the grains, except for a coherent decline by half in the CO cores. This combined information suggests grain evolution. We provide average values for the dust properties per gas nucleon in the different phases. The rays and dust radiance yield consistent X CO estimates near 0.7 10 20 cm -2 K -1 km -1 s. The A VQ and 353 tracers yield biased values because of the large rise in grain opacity in the CO clouds. These results clarify a recurrent disparity in the -ray versus dust calibration of X CO , but they confirm the factor of 2 difference found between the X CO estimates in nearby clouds and in the neighbouring spiral arms.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.208
Teacher spread0.198 · 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 teacher head, not a consensus.

Study designOther design
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".

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Citations76
Published2015
Admission routes1
Has abstractyes

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