Abstract
A method based on a combination of Monte Carlo and gradient descent algorithms is presented for calculating the spectral density from the Green’s function. The method does not contain systematic errors and, in principle, can be used to parameterize any spectral function with a given accuracy. The application of the method is illustrated by the restoration of the spectral density of iron-based superconductors. The method can be used to study properties of metal nanoclusters and other systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
