Metalens arrays for high-operating-temperature HgCdTe MWIR detectors: design and modelling

We present the design and modelling of metalens arrays integrated with mid-wave infrared (MWIR, 3–5 µm) HgCdTe (MCT) focal plane arrays (FPAs). Silicon and germanium micro-metalens structures were modelled using rigorous coupled-wave analysis (RCWA). By concentrating incident light into reduced junction areas, microlenses suppress dark current and enable high-operating-temperature (HOT) detectors. Two application cases are considered: (i) high-resolution imaging, quantified by the noise-equivalent temperature difference (NETD) as a function of temperature, and (ii) subpixel bushfire detection, assessed via radiometric contrast as a function of source distance. Simulations indicate that microlens-enhanced FPAs maintain NETD ≤ 35 mK at temperatures compatible with thermoelectric coolers (TECs), eliminating the need for bulky cryogenic cooling systems. For bushfire detection, a 5 × 5 m<sup>2</sup> hotspot at 1000 K remains detectable beyond 9 km with microlenses, compared to only ~1.5 km without microlenses at elevated temperatures. These results suggest the potential of microlens-integrated FPAs to deliver compact, low-SWaP-C (Size, Weight, Power consumption, and Cost) MWIR systems for high-performance imaging and scalable civilian monitoring applications.

Authors

Institutions

Publication Details

Published
2025-10-28
DOI
https://doi.org/10.1117/12.3069715
Primary Topic
Advanced Semiconductor Detectors and Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metalens arrays for high-operating-temperature HgCdTe MWIR detectors: design and modelling

Nima Dehdashti Akhavan, Gilberto A. Umana‐Membreno, Tuomas Haggrén, Lukas Wesemann et al.
Advanced Semiconductor Detectors and Materials
article

Metalens arrays for high-operating-temperature HgCdTe MWIR detectors: design and modelling

Nima Dehdashti Akhavan, Gilberto A. Umana‐Membreno, Tuomas Haggrén, Lukas Wesemann, L. Faraone, P.O. Leslie, Hark Hoe Tan, Dragomir N. Neshev, Wenwu Pan, Ronald G. Driggers
article en

Abstract

We present the design and modelling of metalens arrays integrated with mid-wave infrared (MWIR, 3–5 µm) HgCdTe (MCT) focal plane arrays (FPAs). Silicon and germanium micro-metalens structures were modelled using rigorous coupled-wave analysis (RCWA). By concentrating incident light into reduced junction areas, microlenses suppress dark current and enable high-operating-temperature (HOT) detectors. Two application cases are considered: (i) high-resolution imaging, quantified by the noise-equivalent temperature difference (NETD) as a function of temperature, and (ii) subpixel bushfire detection, assessed via radiometric contrast as a function of source distance. Simulations indicate that microlens-enhanced FPAs maintain NETD ≤ 35 mK at temperatures compatible with thermoelectric coolers (TECs), eliminating the need for bulky cryogenic cooling systems. For bushfire detection, a 5 × 5 m<sup>2</sup> hotspot at 1000 K remains detectable beyond 9 km with microlenses, compared to only ~1.5 km without microlenses at elevated temperatures. These results suggest the potential of microlens-integrated FPAs to deliver compact, low-SWaP-C (Size, Weight, Power consumption, and Cost) MWIR systems for high-performance imaging and scalable civilian monitoring applications.

Australian National University (AU), University of Arizona (US), The University of Melbourne (AU), The University of Western Australia (AU)
Openalex Percentile: Top 69%
Advanced Semiconductor Detectors and Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.