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Application of metasurface-based low-pass filters for improving THz-TDS characteristics. / Nikolaev, N. A.; Rybak, A. A.; Kuznetsov, S. A.

в: Journal of Physics: Conference Series, Том 1461, № 1, 012118, 23.04.2020.

Результаты исследований: Научные публикации в периодических изданияхстатья по материалам конференцииРецензирование

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Nikolaev NA, Rybak AA, Kuznetsov SA. Application of metasurface-based low-pass filters for improving THz-TDS characteristics. Journal of Physics: Conference Series. 2020 апр. 23;1461(1):012118. doi: 10.1088/1742-6596/1461/1/012118

Author

Nikolaev, N. A. ; Rybak, A. A. ; Kuznetsov, S. A. / Application of metasurface-based low-pass filters for improving THz-TDS characteristics. в: Journal of Physics: Conference Series. 2020 ; Том 1461, № 1.

BibTeX

@article{cb44e1025e5e48eb87cd45813e111665,
title = "Application of metasurface-based low-pass filters for improving THz-TDS characteristics",
abstract = "We propose an approach to improve the technical characteristics of terahertz time-domain spectrometers at low-frequency measurements. The approach is based on applying low-pass THz filters to narrow the frequency band of the THz signal that allows increasing the sampling interval in accordance with the Nyquist-Shannon theorem. This concept was verified by studying the transmission spectra of low-frequency band-pass THz filters centered at 156 and 376 GHz. We confirm that the high-quality low-pass filters can improve accuracy of THz measurements and significantly reduce data acquisition time. The reduction up to 12 times was experimentally demonstrated in our case.",
author = "Nikolaev, {N. A.} and Rybak, {A. A.} and Kuznetsov, {S. A.}",
year = "2020",
month = apr,
day = "23",
doi = "10.1088/1742-6596/1461/1/012118",
language = "English",
volume = "1461",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "4th International Conference on Metamaterials and Nanophotonics, METANANO 2019 ; Conference date: 15-07-2019 Through 19-07-2019",

}

RIS

TY - JOUR

T1 - Application of metasurface-based low-pass filters for improving THz-TDS characteristics

AU - Nikolaev, N. A.

AU - Rybak, A. A.

AU - Kuznetsov, S. A.

PY - 2020/4/23

Y1 - 2020/4/23

N2 - We propose an approach to improve the technical characteristics of terahertz time-domain spectrometers at low-frequency measurements. The approach is based on applying low-pass THz filters to narrow the frequency band of the THz signal that allows increasing the sampling interval in accordance with the Nyquist-Shannon theorem. This concept was verified by studying the transmission spectra of low-frequency band-pass THz filters centered at 156 and 376 GHz. We confirm that the high-quality low-pass filters can improve accuracy of THz measurements and significantly reduce data acquisition time. The reduction up to 12 times was experimentally demonstrated in our case.

AB - We propose an approach to improve the technical characteristics of terahertz time-domain spectrometers at low-frequency measurements. The approach is based on applying low-pass THz filters to narrow the frequency band of the THz signal that allows increasing the sampling interval in accordance with the Nyquist-Shannon theorem. This concept was verified by studying the transmission spectra of low-frequency band-pass THz filters centered at 156 and 376 GHz. We confirm that the high-quality low-pass filters can improve accuracy of THz measurements and significantly reduce data acquisition time. The reduction up to 12 times was experimentally demonstrated in our case.

UR - http://www.scopus.com/inward/record.url?scp=85084149674&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1461/1/012118

DO - 10.1088/1742-6596/1461/1/012118

M3 - Conference article

AN - SCOPUS:85084149674

VL - 1461

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012118

T2 - 4th International Conference on Metamaterials and Nanophotonics, METANANO 2019

Y2 - 15 July 2019 through 19 July 2019

ER -

ID: 24224408