Francesca Intini
Francesca Intini | |
|---|---|
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| Residence | 70126 Bari, Italy |
| Nationality | Italian |
| Known for | Relativity, Cosmology, Atmospheric Physics |
| Scientific career | |
| Fields | Physicist |
Francesca Intini is an Italian physicist based in Bari, Italy. A student of the theoretical physicist Franco Selleri at the University of Bari, she carried out early work on the Sagnac effect and its relevance to the interpretation of relativity. Her later research has focused on meteorological modelling, forest fire modelling and environmental risk analysis.
Biography
Intini studied physics under Franco Selleri at the University of Bari, where her thesis addressed the Sagnac effect. Working within Selleri's circle of researchers, who critically examined the conventional interpretation of special relativity, she analysed the way the "Sagnac correction" is applied to the Global Positioning System and questioned whether it can properly be regarded as a confirmation of relativity.
She is resident in Bari, Italy, and has subsequently worked in applied environmental physics, concentrating on meteorological modelling, forest fire modelling and environmental risk analysis.
Work
Intini contributed the chapter "Il tempo sui satelliti del GPS e l'effetto Sagnac" ("Time on GPS satellites and the Sagnac effect") to La natura del tempo, a collection edited by Franco Selleri and published by Edizioni Dedalo in Bari in 2002 (pp. 185–211). In it she examined the Sagnac effect and the operation of the GPS system, two phenomena often presented as empirical confirmations of special relativity, and discussed whether the correction applied to satellite clocks is best understood in terms of special or general relativity.
In her applied work, Intini has developed methodologies for assessing forest fire risk using Geographic Information Systems (GIS). She co-authored a GIS-based methodology for fire risk assessment in the Alta Murgia National Park in the Puglia region of southern Italy, integrating cartographic data on morphological factors, vegetation cover and human land use to produce mapped levels of static fire risk.