title: Computation of Two-Dimensional Spectra Assisted by Compressed Sampling.
abstract: The computation of scientific data can be very time-consuming, even if they are ultimately determined by a small number of parameters. The principle of compressed sampling suggests that for typical data we can achieve a considerable decrease in the computation time by avoiding the need to sample the full data set. We demonstrate the usefulness of this approach at the hand of two-dimensional (2-D) spectra in the context of ultrafast nonlinear spectroscopy of biological systems where numerical calculations are highly challenging due to the considerable computational effort involved in obtaining individual data points.
authors: †Institute for Theoretical Physics, University Ulm, Albert-Einstein-Allee 11, D-89069 Ulm, Germany.|§Institute for Integrated Quantum Science and Technology, University Ulm, Albert-Einstein-Allee 11, D-89069 Ulm, Germany.
authors: J
authors: J
authors: Almeida
authors: ‡Departamento de Física Aplicada, Universidad Politécnica de Cartagena, Cartagena 30202, Spain.
authors: J
authors: J
authors: Prior
authors: †Institute for Theoretical Physics, University Ulm, Albert-Einstein-Allee 11, D-89069 Ulm, Germany.|§Institute for Integrated Quantum Science and Technology, University Ulm, Albert-Einstein-Allee 11, D-89069 Ulm, Germany.
authors: M B
authors: MB
authors: Plenio
keywords: FMO; compressed sampling; nonlinear spectroscopy; numerical methods; protein-pigment complex; third order electric response function