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Record W1640419559

Technique for Concentration of Carbonaceous Material from Aerogel Collectors Using HF-Vapor Etching

2004· article· en· W1640419559 on OpenAlexaboutno aff
A. J. Westphal, A. L. Butterworth, C. J. Snead, G. Domínguez, Peter Weber, I. D. Hutcheon, G. R. Huss, Cuong V. Nguyen, G. A. Graham, Frederick J. Ryerson, J. P. Bradley

Bibliographic record

VenueLPI · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsnot available
Fundersnot available
KeywordsNational laboratoryAerogelHypervelocityMeteoriteAstrobiologyMars Exploration ProgramNanotechnologyMineralogyChemistryGeologyMaterials sciencePhysicsEngineering physics
DOInot available

Abstract

fetched live from OpenAlex

COLLECTORS USING HF-VAPOR ETCHING. A. J. Westphal, A. L. Butterworth, C. J. Snead, G. Dominguez, P. K. Weber, I. D. Hutcheon, G. R. Huss, C. V. Nguyen, G. A. Graham, F. Ryerson, and J. P. Bradley. Space Sciences Laboratory, University of California at Berkeley, Berkeley, CA 94720, USA (westphal@ssl.berkeley.edu), Lawrence Livermore National Laboratory, 7000 East Avenue, L-395, Livermore, CA 94550, USA, 3 Department of Geological Sciences and Center for Meteorite Studies, Arizona State University, P. O. Box 871404, Tempe, AZ 85287-1404, ELORET, NASA Ames Research Center, MS 229-1, Moffett Field, CA 94035-1000, Institute for Geophysics and Planetary Physics, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, USA. Introduction: Extraction of fine residues of hypervelocity impacts in aerogel collectors is a major challenge. The problem is likely to be especially severe for the Stardust mission. If cometary dust particles are similar to IDPs, they are unlikely to survive as structurally intact particles, but will instead break up into their fine-grained (micron to sub-micron) constituents. Large, refractory grains (e.g., olivines) that can be extracted relatively easily are likely to survive completely intact. But recovery of fine-grained material, distributed along the impact tracks[1,2], is required for comprehensive analysis of cometary material. The recovery and analysis of organics and carbonaceous material is a particular priority for Stardust. Etching in HF liquid has been used for many years to remove silicates and to isolate organics and carbon from chondritic materials[3-6]. Etching of aerogel collectors to remove silicate aerogel has been suggested previously[7], but the large background of contaminants and inclusions in the aerogel collectors has discouraged this approach. Here we describe our first steps in the development of a technique for isolating certain types of non-silicate chondritic grains, and, potentially, partially etched larger silicate grains from aerogel collectors. This technique may be a useful addition to the analytical toolbox available to the Stardust community. Specifically, we describe two key innovations. First, the use of HF vapor instead of liquid for removing the aerogel matrix takes advantage of the enormous contrast (at least two orders of magnitude) in surface area, and thus etch-rate, between aerogel and ordinary silicates, and the rate can be readily controlled and monitored. Second, etching extracted aerogel keystones minimizes the volume of aerogel matrix and therefore the background of terrestrial organics and particulates. Technique: For this development effort, we used particle impacts from the “chondritic swarm” population from the ODCE aerogel collector, which was deployed externally on the Russian space station Mir for 18 months in 1996-1997[8]. First, we extracted complete particle impact tracks in aerogel keystones with total volume ~0.01 mm. We describe this technique in detail elsewhere [1]. We placed the aerogel keystone on a graphite disk, then placed the disk in a small (~25 cm) closed polystyrene box with a optically clear and flat CR-39 plastic window so that the keystone could be optically imaged.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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