Literature DB >> 27370481

Understanding and eliminating artifact signals from diffusely scattered pump beam in measurements of rough samples by time-domain thermoreflectance (TDTR).

Bo Sun1, Yee Kan Koh1.   

Abstract

Time-domain thermoreflectance (TDTR) is a pump-probe technique frequently applied to measure the thermal transport properties of bulk materials, nanostructures, and interfaces. One of the limitations of TDTR is that it can only be employed to samples with a fairly smooth surface. For rough samples, artifact signals are collected when the pump beam in TDTR measurements is diffusely scattered by the rough surface into the photodetector, rendering the TDTR measurements invalid. In this paper, we systemically studied the factors affecting the artifact signals due to the pump beam leaked into the photodetector and thus established the origin of the artifact signals. We find that signals from the leaked pump beam are modulated by the probe beam due to the phase rotation induced in the photodetector by the illumination of the probe beam. As a result of the modulation, artifact signals due to the leaked pump beam are registered in TDTR measurements as the out-of-phase signals. We then developed a simple approach to eliminate the artifact signals due to the leaked pump beam. We verify our leak-pump correction approach by measuring the thermal conductivity of a rough InN sample, when the signals from the leaked pump beam are significant. We also discuss the advantages of our new method over the two-tint approach and its limitations. Our new approach enables measurements of the thermal conductivity of rough samples using TDTR.

Year:  2016        PMID: 27370481     DOI: 10.1063/1.4952579

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  Inelastic phonon transport across atomically sharp metal/semiconductor interfaces.

Authors:  Qinshu Li; Fang Liu; Song Hu; Houfu Song; Susu Yang; Hailing Jiang; Tao Wang; Yee Kan Koh; Changying Zhao; Feiyu Kang; Junqiao Wu; Xiaokun Gu; Bo Sun; Xinqiang Wang
Journal:  Nat Commun       Date:  2022-08-20       Impact factor: 17.694

  1 in total

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