About me

I am a multidisciplinary Earth scientist working in Switzerland at the Institute of Geological Sciences of the Un iversity of Bern. This website contains research material such as articles and links to computer programs I developed.

Twitter: @PierreLanari | Links: XMapToolsPetrology-UniBe

Research Group

I will soon be leading the ERC-funded group Computational Petrology and Geochemistry at the Institute of Geological Sciences, University of Bern.

ERC Starting Grant project PROMOTING (2020-2025)

PROgrade metamorphism MOdeling: a new petrochronological and compuTING framework – PROMOTING

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Publications

Statistics

Google stats: > 1’100 citations; h = 16; i10 = 31

Articles: 53 peer-reviewed papers published or in press; c. 15 papers in review/prep. Underlined names are students. ** Work done by a PhD student that is first author; I was the lead advisor for these papers. # = ≥ 25 citations; ## = ≥ 50 citations ; ### = ≥ 100 citations (source: GS).

Books: 2 co-edited book published; 4 book chapters published 

Google Scholar

ORCID | ScopusResearcher ID  

Highlighted recent papers(s)

  • Lanari, P. & Duesterhoeft, E. (2019). Modelling metamorphic rocks using equilibrium thermodynamics and internally consistent databases: past achievements, problems and perspectives. Journal of Petrology, 60, 19-56.  Free access
  • Airaghi, L., Janots, E., Lanari, P., de Sigoyer, J., Magin, V. (2019). Allanite petrochronology in fresh and retrogressed garnet-biotite metapelites from the Longmen Shan (eastern Tibet). Journal of Petrology, 60, 151-176.  Download pdf 
  • Lanari, P., Vho, A., Bovay, T., Airaghi, L., Centrella, S., (2019). Quantitative compositional mapping of mineral phases by electron probe micro-analyser. Geological Society of London, Special Publication, 478, 39-63 , Download pdf
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Research interests & CV

Expertise

I am a a multidisciplinary geologist who has developed a strong two-folds expertise in petrology/mineralogy and analytical geochemistry. I  pursue research in the area of fundamental petrochronology and its applications.

My current research involves (not limited to):

  • Modelling fluid-rock interactions at depth (ERC-project PROMOTING)
  • Petrogenesis and scale of equilibrium in metamorphic rocks. Development of iterative thermodynamic models (programs: Bingo-Antidote & GRTMOD)
  • Quantitative compositional mapping to analyse the compositional variability of major and trace elements in rocks by EPMA and LA-ICP-MS. Development and improvement of XMapTools software
  • Thermodynamic properties and models of complex solid solutions; kinetics and phase equilibria; oxygen fractionation modelling
  • Micro-dating techniques: LA-ICP-MS and SIMS measurements (U-Th-Pb, allanite, monazite and zircon)
  • Geodynamic and structural evolution of orogenic belts: Internal western Alps (Briançonnais, Sesia and Liguro-Piémontais zones) and Himalaya (Western syntaxe)
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Computer programs

Software development has become a critical part of modern research, especially in petrology and analytical geochemistry. This is the reason why I got involved in the development of several computer models and software solutions and I decided to share them for free with scientists working in universities and public research agencies worldwide. This page lists my main contributions and provides links to the website of each project.

XMapTools – Quantitative compositional mapping

Quantitative compositional maps are used to depict the spatial distribution and compositional variability of mineral phases in thin sections of rock. I developed and I am improving XMapTools (Lanari et al., 2014; Lanari et al., 2019), a software solution for processing X-ray and trace element LA-ICPMS maps as well as to determine local bulk composition and perform thermobarometry analysis. The data reduction involves several steps such as (i) analytical standardization, (ii) classification, (iii) structural formulas calculation and (iv) determination of P-T conditions of formation or re-quilibration. XMapTools provides advanced numerical tools in a guided environment to explore and visualize your data in your own way. It incorporates a large variety of options for data processing, data calibration and data visualisation via single and multi-channel maps or via binary, ternary and spider diagrams

More information: XMapTools website

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