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Speed of sound in methane under conditions of planetary interiors

2024· article· en· W4396597813 on OpenAlexafffund
Thomas G. White, Hannah Poole, E. E. McBride, M. Oliver, Adrien Descamps, L. B. Fletcher, William A. Angermeier, Cameron H. Allen, Karen Appel, F. P. Condamine, C. B. Curry, Francesco Dallari, S. Funk, Eric Galtier, E. J. Gamboa, M. Gauthier, P. Graham, Sebastian Goede, Daniel Haden, Jongjin B. Kim, Hae Ja Lee, Benjamin K. Ofori-Okai, Scott Richardson, Alex Rigby, Christopher Schoenwaelder, Peihao Sun, Bastian Witte, T. Tschentscher, U. Zastrau, Bob Nagler, J. B. Hastings, G. Monaco, D. O. Gericke, S. H. Glenzer, G. Gregori

Bibliographic record

VenuePhysical Review Research · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Alberta
FundersSLAC National Accelerator LaboratoryBasic Energy SciencesEngineering and Physical Sciences Research CouncilScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaNational Nuclear Security AdministrationOffice of ScienceMinisterio de Economía y CompetitividadDeutsche ForschungsgemeinschaftFusion Energy SciencesU.S. Department of Energy
KeywordsMethaneAstrobiologySound (geography)Environmental scienceAcousticsSpeed of soundChemistryPhysics

Abstract

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We present direct observations of acoustic waves in warm dense matter. We analyze wave-number- and energy-resolved x-ray spectra taken from warm dense methane created by laser heating a cryogenic liquid jet. X-ray diffraction and inelastic free-electron scattering yield sample conditions of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mn>0.3</a:mn><a:mo>±</a:mo><a:mn>0.1</a:mn></a:mrow></a:math> eV and <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mrow><b:mn>0.8</b:mn><b:mo>±</b:mo><b:mn>0.1</b:mn></b:mrow></b:math> g/<c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:msup><c:mi mathvariant="normal">cm</c:mi><c:mrow><c:mo>−</c:mo><c:mn>3</c:mn></c:mrow></c:msup></c:math>, corresponding to a pressure of <e:math xmlns:e="http://www.w3.org/1998/Math/MathML"><e:mo>∼</e:mo><e:mn>13</e:mn></e:math> GPa. Inelastic x-ray scattering was used to observe the collective oscillations of the ions. With a highly improved energy resolution of <f:math xmlns:f="http://www.w3.org/1998/Math/MathML"><f:mo>∼</f:mo><f:mn>50</f:mn></f:math> meV, we could clearly distinguish the Brillouin peaks from the quasielastic Rayleigh feature. Data at different wave numbers were utilized to derive a sound speed of <g:math xmlns:g="http://www.w3.org/1998/Math/MathML"><g:mrow><g:mn>5.9</g:mn><g:mo>±</g:mo><g:mn>0.5</g:mn></g:mrow></g:math> km/s, marking a high-temperature data point for methane and demonstrating consistency with Birch's law in this parameter regime. Published by the American Physical Society 2024

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.084
GPT teacher head0.430
Teacher spread0.346 · 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 designBench or experimental
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

Citations11
Published2024
Admission routes2
Has abstractyes

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