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Updated: Jan 19, 2026

Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−
Published on: July 27, 2018
Probing gaseous molecular structure by molecular-frame photoelectron angular distributions.
Hironobu Fukuzawa1, Syuhei Yamada1, Yuta Sakakibara1
1Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Sendai 980-8577, Japan.
We measured carbon 1s photoelectron angular distributions for iodomethane molecules. These results, analyzed using time-dependent density functional theory, show potential for determining 3D molecular structures.
Area of Science:
- Physical Chemistry
- Chemical Physics
- Molecular Spectroscopy
Background:
- Understanding molecular structure is crucial in chemistry and physics.
- Photoelectron angular distributions provide insights into molecular electronic structure and dynamics.
- Previous studies have explored molecular frame photoelectron spectroscopy for structural determination.
Purpose of the Study:
- To measure and analyze the carbon 1s photoelectron angular distributions of iodomethane.
- To investigate the energy-dependent behavior of these distributions relative to the molecular recoil frame.
- To explore the application of these measurements for three-dimensional molecular structure determination.
Main Methods:
- Experimental measurement of carbon 1s photoelectron angular distributions for iodomethane.
- Determination of the recoil frame using momentum correlation between I+ and CH3+ ions.
- Theoretical calculations using time-dependent density functional theory with B-spline methods.
Main Results:
- Measured photoelectron angular distributions at specific electron energies (3, 6.1, and 12 eV).
- Demonstrated that time-dependent density functional theory with B-spline methods reasonably reproduces the energy-dependent behavior.
- Established a correlation between photoelectron angular distributions and molecular structure.
Conclusions:
- Recoil-frame photoelectron angular distributions are sensitive to molecular structure.
- Theoretical methods can accurately predict these distributions.
- This technique holds promise for precise 3D molecular structure determination.
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