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Record W2788005928 · doi:10.1116/1.5013613

ToF-SIMS and other surface spectroscopies applied to the study of ancient artifacts: Preliminary investigation of a tetradrachm of Claudius

2018· article· en· W2788005928 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena · 2018
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsEmperorSecondary ion mass spectrometryX-ray photoelectron spectroscopyQueen (butterfly)WifeAnalytical Chemistry (journal)Ancient historyMaterials scienceArtArchaeologyMineralogyMass spectrometryChemistryGeographyHistoryEnvironmental chemistryEngineeringChemical engineeringTheology

Abstract

fetched live from OpenAlex

A group of ancient coins is among the Diniacopoulos collection of Central and Eastern Mediterranean antiquities housed at Queen's University. At first glance, nine coins in the collection appear to be billon tetradrachms minted in Alexandria, Egypt, dating to the period of the Emperor Claudius (41–54 AD). On the obverse, there is a portrait of the Emperor Claudius, on the reverse his wife Messalina is holding their two children. A closer examination reveals, however, that each of these coins weighs substantially less than the majority of specimens belonging to the same issues. All of the coins appear to have silver-rich plated surfaces with copper-rich cores. Questions are raised, therefore, about their authenticity and methods of manufacture. The surfaces display a variety of corrosion products, some of which may also indicate past restoration treatments. A single coin was selected for time-of-flight secondary ion mass spectrometry (ToF-SIMS), X-ray photoelectron spectroscopy (XPS), and energy dispersive x-ray analysis (EDX) analyses to investigate the viability of utilizing these combined techniques in the study of ancient coins. In order to gain information on the composition and distribution of the various chemical components present at the surface and into the bulk, it is necessary to profile into the sample, which by definition is destructive. Thus, it is important to identify areas of interest for further analysis so that the amount of damage can be minimized while maximizing the information obtained. To accomplish this, large area imaging ToF-SIMS has been performed using the stage-raster option in an IonTOF ToF-SIMS V. Bi3++ primary ions were used to map the surface and the positive secondary ion distribution images were obtained. Because of the varying topography of the sample, delayed onset of the generated secondary ion had to be used. Four areas were identified for further analysis, namely: (1) a Ag rich (minimal Cu content) area; (2) an area showing the presence of both Cu and Ag; (3) an area displaying visibly different surface characteristics, and finally, (4) a Cu rich (minimal Ag content) area. Chemical composition was obtained from these areas using XPS. To obtain further (nondestructive) depth information, EDX images were obtained, which would arise from a deeper sampling depth. In this case Ag was seen to be more dominant except for region (4). This implies a Cu enrichment at the surface as observed by the ToF-SIMS except for region (1). In this paper, the results of depth profiles in the bulk of the chosen areas are presented in order to ascertain the distribution of the various chemical components. This will allow future investigation on how the coins were manufactured.

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.

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 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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.230
Teacher spread0.217 · 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