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Searching for a second excitation in the inelastic neutron scattering spectrum of a liquid metal: a Bayesian analysis.
De Francesco, Alessio; Bafile, Ubaldo; Cunsolo, Alessandro; Scaccia, Luisa; Guarini, Eleonora.
Afiliación
  • De Francesco A; CNR-IOM & INSIDE@ILL c/o Operative Group in Grenoble (OGG), F-38042, Grenoble, France.
  • Bafile U; Institut Laue-Langevin (ILL), F-38042, Grenoble, France.
  • Cunsolo A; Consiglio Nazionale delle Ricerche, Istituto di Fisica Applicata "Nello Carrara", Via Madonna del Piano 10, I-50019, Sesto Fiorentino, Italy.
  • Scaccia L; Department of Physics, University of Wisconsin at Madison, 1150 University Avenue, Madison, WI, USA.
  • Guarini E; Dipartimento di Economia e Diritto, Università di Macerata, Via Crescimbeni 20, I-62100, Macerata, Italy.
Sci Rep ; 11(1): 13974, 2021 Jul 07.
Article en En | MEDLINE | ID: mdl-34234260
ABSTRACT
When probed at nanometer and picosecond scales, the properties of a liquid present striking analogies with the ones of the corresponding solid, one of the most surprising is the ability of supporting shear wave propagation, as a rigid medium. Although this evidence is being reported by a growing number of terahertz scattering measurements, it remains an open question whether it is universal or rather typical of some liquids only. Furthermore, given its elusive signatures in the scattering signal, the detection of this effect appears as a typical case where an unintentional "bias of confirmation" can mislead experimentalists. We thus decided to use a Bayesian inference approach to achieve a probabilistically grounded and evidence-based lineshape modeling of the inelastic neutron scattering spectra from liquid silver, whose simulated density autocorrelations bear evidence of a shear mode propagation over very short distances. The result of our analysis indicates that the observation of any additional, non-longitudinal, acoustic modes in this simple system goes beyond the accuracy of the used scattering method.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Francia