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Original methodological research

Research Contents > European research platform for ancient materials IPANEMA > Original methodological research

The heterogeneity characteristic of ancient materials, resulting from their history, requires the use of imaging to analyze samples in order to extract meaningful information. Ancient materials are difficult to create model systems with. Methodology research at IPANEMA is therefore aiming at constructing analytical strategies appropriate for these materials. Two research areas are pursued: the development of imaging methods, and the multivariate data analysis of ancient materials. The research methodology is progressing as needed in relation to the study of ancient materials and their characteristics. It takes advantage of the exceptional expertise available in the laboratories on the Saclay plateau campus.

Spectroscopy and imaging of ancient materials

Synchrotron experiments can provide information that is morphological as well as structural, chemical or elemental because of the energy resolution, low divergence and tunability of the beams produced. These features allow the use of spectro-microscopy and high resolution computed tomography techniques to understand the multi-scale heterogeneity of ancient materials.
This research area focus on:
- The development of new methodologies for 2D and 3D analysis

- The design of specific analytical couplings aimed at complete characterization of the sample;
- Manipulation of the sample and sample populations, and their analysis environments (especially for in situ studies of objects re-created in order to establish model systems);
- The location of a sample using non-invasive techniques.
 


Multivariate data analysis of ancient materials

To fully exploit the large amount of data generated by these experiments, the IPANEMA group is continuing original research on data processing in the areas of:
- Multivariate data analysis resulting from spectro-microscopy, to improve the quality of projections based on these data.
- Systematization and automation of procedures, to enable the characterization of the corpus of objects and reach the required reproducibility for inter-corpus comparisons;
- The combination of a priori information with the results of measurements to improve the quality of models generated, notably in tomography;
- The development of algorithms making it possible to combine measurements carried out using different methods.
 

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