  Spectroscopy detected in the time domain entails many techniques, such as
FTIR, pump-probe, FT-Raman, and 2DES, and applications, such as molecule
characterization, excited state dynamics studies, or spectra classifications.
Surprisingly, all these techniques use sampling schemes that rarely exploit the
a priori knowledge the scientist has before the experiment. Indeed, not all the
sampling coordinates carry the same amount of information. In this work, we
rationalize with examples the various advantages of a smart sampling scheme
tailored to the specific experiment characteristics and/or the expected
results. The application of a Fisher information approach allows for finding
the best sampling scheme to minimize the variance of a desired observable,
greatly improving, for example, spectral classifications and multidimensional
spectroscopy. In general, we demonstrate how a smart sampling allows reducing
by one to two orders of magnitude the acquisition time of an experiment while
still providing a similar level of information.
