Related Experiment Video
Updated: Apr 3, 2026

08:48
Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy
Published on: November 22, 2019
8.1K
Optimization of pump size in a solid-state laser considering the temperature distribution in a laser medium
Applied Optics
|September 26, 2015
Summary
This study reveals that laser diffraction losses decrease with larger pump beam radii. Optimizing pump size in diode-end-pumped lasers enhances output power, aligning theory with experiments.
Area of Science:
- Laser Physics
- Optics
- Materials Science
Background:
- Thermal effects in laser media significantly impact performance.
- Thermally induced diffraction losses are a critical factor in laser efficiency.
- Understanding temperature distribution is key to optimizing laser output.
Purpose of the Study:
- To investigate the influence of laser medium temperature distribution on thermal effects.
- To analyze the relationship between pump beam radius and thermally induced diffraction losses.
- To optimize pump size for enhanced output power in diode-end-pumped lasers.
Main Methods:
- Theoretical modeling of temperature distribution and thermal effects in laser media.
- Analysis of thermally induced diffraction losses as a function of pump beam radius.
- Experimental validation using a diode-end-pumped Neodymium-doped Gadolinium Vanadate (Nd:GdVO4) laser at 1342 nm.
Main Results:
- Thermally induced diffraction losses decrease with increasing pump beam radius for constant mode-to-pump ratios.
- Neglecting real temperature effects leads to an approximation of constant diffraction losses.
- Optimized pump size successfully scaled the output power of the Nd:GdVO4 laser.
Conclusions:
- The theoretical model accurately predicts the behavior of thermally induced diffraction losses.
- Pump beam radius optimization is crucial for maximizing output power in diode-end-pumped lasers.
- Experimental results confirm the theoretical findings, validating the model's applicability.

