Proposed parameter-free model for interpreting the measured positron annihilation spectra of materials using a generalized gradient approximation

TL;DR

This paper introduces a parameter-free gradient correction scheme for positron annihilation spectroscopy, enhancing the accuracy of interpreting spectra and advancing material characterization techniques.

Contribution

It presents a novel, parameter-free gradient correction method based on quantum Monte Carlo data for improved analysis of positron spectra.

Findings

Results align well with experimental measurements

Enables more precise positron-based material analysis

Opens new possibilities for advanced material characterization

Abstract

Positron annihilation spectroscopy is often used to analyze the local electronic structure of materials of technological interest. Reliable theoretical tools are crucial to interpret the measured spectra. Here, we propose a parameter-free gradient correction scheme for a local-density approximation obtained from high quality quantum Monte Carlo data. The results of our calculations compare favorably with positron affinity and lifetime measurements opening new avenues for highly precise and advanced positron characterization of materials.