Cédric Carteret

TL;DR: In this paper, the problem of estimating the background of a spectrum is addressed by fitting this background to a low-order polynomial, but rather than determining the polynomials that minimise a least-squares criterion (i.e., a quadratic cost function), non-quadratic cost functions well adapted to the problem are proposed.

TL;DR: A Markov chain Monte Carlo (MCMC) sampling procedure is proposed to simulate the resulting joint posterior density from which marginal posterior mean estimates of the source signals and mixing coefficients are obtained.

TL;DR: Simulation permits to clearly distinguish between calcite and aragonite in the cases of powder spectra, and among different polarization directions of each compound in the case of single crystal spectra.

TL;DR: In this article, the surface properties of organosilane-modified smectite-type clays were examined by various physico-chemical techniques, including thermal gravimetric analysis (TGA), surface area measurements from N2 adsorption/desorption experiments (BET method), Fourier transform infrared spectroscopy (FTIR), chemical stability measurements in aqueous medium, and elemental analysis.

TL;DR: The vibrational properties of CaCO(3) aragonite have been investigated both theoretically, by using a quantum mechanical approach and experimentally, by collecting polarized infrared (IR) reflectance and Raman spectra.