More details on this talk
We employ Maple’s ability to compute symbolic Fourier transforms of
continuous curves to extract essential chemical information from
interferograms produced with contemporary laboratory instruments. An
interferogram is a function in the distance or time domain produced from
the interference of waves, of which Fourier transformation into the
wavenumber or frequency domain yields a distribution or spectrum that
contains precise information about molecular structure and properties.
We describe in turn each of four prototypical applications of continuous
Fourier transforms – applied to diverse signals from coherent electron
scattering, coherent xray scattering, microwave emission and infrared
absorption – and then demonstrate how the capabilities of software for
computer algebra enable the derivation of information in a chemically
meaningful form. We distinguish between Fourier exponential, cosine and
sine transforms that yield novel complementary information about
molecular properties. |