19 December 2019 Photoinduced opaque effect model for light down-converter of dynamic infrared scene projection
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Abstract

Dynamic infrared scene projection is a technology for converting infrared (IR) digital image sequences into IR radiating image sequences. One of the most promising technologies is light down-conversion technology based on photoinduced opaque (PIO) effect. A parametric end-to-end steady-state model was proposed to describe the PIO mechanism. It consisted of three submodels such as the silicon parameter model, the photoinduced free carrier model, and the constitutive relation model. Furthermore, the parametric full-link from pump photons’ power density, photoinduced free carrier concentration, complex dielectric constant, and complex refractive index to the emissivity was constructed and mathematically analyzed by the above model. In order to verify the model, an intrinsic silicon wafer was pumped by a continuous-wave running Nd:YAG laser when the wafer was heated up to 321, 423, 459, and 498 K, respectively. Correspondingly, the emissivity integrated from 3 to 5  μm, with the increase of the pump power density measured by an IR camera. The measurement result agreed well with the theoretical result computed by the parametric end-to-end steady-state model. The maximum apparent temperature of the region illuminated by the laser with a pump power density of 407  W cm  −  2 is up to 453 K when the silicon wafer was kept at 498 K. At the same time, the background temperature was elevated to 330 K owing to the initial free-carrier absorption enhancement.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2019/$28.00 © 2019 SPIE
Tian Yi, Shuaihao Wang, Yanhong Li, Li Qi, Yang Yang, Juanfang Chai, and Li Zhang "Photoinduced opaque effect model for light down-converter of dynamic infrared scene projection," Optical Engineering 58(12), 127101 (19 December 2019). https://doi.org/10.1117/1.OE.58.12.127101
Received: 29 September 2019; Accepted: 25 November 2019; Published: 19 December 2019
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KEYWORDS
Silicon

Infrared radiation

Infrared imaging

Opacity

Photons

Semiconducting wafers

Thermography

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