Design and fabrication of large-area tunable MOEMS-based shortwave infrared Fabry-Pérot filters

2019 ◽  
Vol 37 (3) ◽  
pp. 032002
Author(s):  
Jyun-Hao Liao ◽  
Wen Wang ◽  
Chien-Ju Chen ◽  
Chia-Jui Yu ◽  
Meng-Chyi Wu
Keyword(s):  
Large Area ◽  
Fabry Perot ◽  
Shortwave Infrared

Highly sensitive refractive index sensor for detection of Hg2+ based on Fano-like resonance in metal-dielectric-metal meta-structure

2021 ◽  
Author(s):  
Shuangxiu Yuan ◽  
Xuebo Sun ◽  
Jing Li ◽  
Yan Li ◽  
Fufang Su ◽  
...  
Keyword(s):  
Refractive Index ◽  
Limit Of Detection ◽  
Wavelength Shift ◽  
Refractive Index Sensor ◽  
Large Area ◽  
Amount Of Substance ◽  
Resonance Modes ◽  
Dipole Resonance ◽  
Highly Sensitive ◽  
Fabry Perot

Abstract We experimentally and theoretically investigate Fano-like resonance in large-area Au/SiO2/Au nano-patches meta-structure, which is originating from the coupling between Fabry Perot resonance and magnetic dipole resonance modes. A highly sensitive refractive index sensor based on the lineshape analysis is obtained. The extracted wavelength shift with the amount of substance of Hg2+ changing from 10-3 pmol to 1 nmol has a linear dependence, and the sensitivity can reach to ultra-low limit of detection (LOD) as 10-3 pmol. This study may provide an approach for the development and modification in sensing.

Large-Area MEMS Tunable Fabry–Perot Filters for Multi/Hyperspectral Infrared Imaging

2017 ◽  
Vol 23 (2) ◽  
pp. 45-52 ◽  
Author(s):  
Haifeng Mao ◽  
Dhirendra Kumar Tripathi ◽  
Yongling Ren ◽  
K. K. M. B. Dilusha Silva ◽  
Mariusz Martyniuk ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Large Area ◽  
Fabry Perot

Extrinsic Fabry-Perot fiber acoustic pressure sensor based on large-area silver diaphragm

2016 ◽  
Vol 166 ◽  
pp. 50-54 ◽  
Author(s):  
Bin Liu ◽  
Jie Lin ◽  
Huan Liu ◽  
An Jin ◽  
Peng Jin
Keyword(s):  
Pressure Sensor ◽  
Acoustic Pressure ◽  
Large Area ◽  
Fabry Perot

Large-area, flexible, full-color printings based on asymmetry Fabry–Perot cavity resonances

2020 ◽  
Vol 464 ◽  
pp. 125483
Author(s):  
Yanfeng Su ◽  
Xinyue Tang ◽  
Guanhua Huang ◽  
Peng Zhang
Keyword(s):  
Large Area ◽  
Full Color ◽  
Fabry Perot ◽  
Cavity Resonances

scholarly journals In situ measurement of CO<sub>2</sub> and CH<sub>4</sub> from aircraft over northeast China and comparison with OCO-2 data

2019 ◽  
Author(s):  
Xiaoyu Sun ◽  
Minzheng Duan ◽  
Yang Gao ◽  
Rui Han ◽  
Denghui Ji ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Northeast China ◽  
In Situ Measurements ◽  
Vertical Profiles ◽  
Large Area ◽  
Mixing Ratios ◽  
Swir Band ◽  
Shortwave Infrared ◽  
The Vertical Distribution

Abstract. Several satellites have been launched to monitor the increasing concentrations of greenhouse gases, especially CO2 and CH4 in the atmosphere, through back-scattered hyperspectral radiance in the shortwave infrared (SWIR) band. The vertical profiles of greenhouse gases and aerosol could strongly affect the results from these instruments. To investigate the effects of the vertical distribution of CO2 on uncertainty in SWIR satellite retrieval results, we conducted observations of the vertical profiles of CO2, CH4, and aerosol particles at 0.6–7 km above sea level using a Beechcraft King Air 350ER in Jiansanjiang (46.77° N, 131.99° E), Heilongjiang province, Northeast China, on August 7–12, 2018. The profiles from this aircraft captured a decrease in CO2 from 2 km to the minimum altitude due to uptake from vegetation at the surface in summer. CH4 measurements showed an average 0.5 ppm increase from 2.0 to 0.6 km, which may result from emissions from the large area of paddy fields below, and a constant mole fraction between 1.951 and 1.976 ppm was recorded at 2 km and above. Comparison of CO2 profiles from a new version of the carbon cycle data assimilation system Tan-Tracker (v1), retrievals from OCO-2 and aircraft measurements was conducted. The results from OCO-2 and the assimilation model system Tan-Tracker captured the vertical structure of CO2 above 3 km, whereas below 3 km, the values from OCO-2 and Tan-Tracker model were lower than those from in situ measurements. Column-averaged CO2 volume mixing ratios calculated from in situ measurements showed biases of −2.39 ± 2.02 ppm and −0.61 ± 0.49 % compared to OCO-2 retrievals.

A Large-Area, Mushroom-Capped Plasmonic Perfect Absorber: Refractive Index Sensing and Fabry-Perot Cavity Mechanism

2015 ◽  
Vol 3 (12) ◽  
pp. 1779-1786 ◽  
Author(s):  
Khagendra Bhattarai ◽  
Zahyun Ku ◽  
Sinhara Silva ◽  
Jiyeon Jeon ◽  
Jun Oh Kim ◽  
...  
Keyword(s):  
Refractive Index ◽  
Perfect Absorber ◽  
Large Area ◽  
Refractive Index Sensing ◽  
Fabry Perot

Large-area Fabry–Perot modulator based on electro-optic polymers

2005 ◽  
Vol 44 (29) ◽  
pp. 6235 ◽  
Author(s):  
Nils Benter ◽  
Ralph Peter Bertram ◽  
Elisabeth Soergel ◽  
Karsten Buse ◽  
Dirk Apitz ◽  
...  
Keyword(s):  
Large Area ◽  
Electro Optic ◽  
Fabry Perot

scholarly journals The GHGSat-D imaging spectrometer

2020 ◽  
Author(s):  
Dylan Jervis ◽  
Jason McKeever ◽  
Berke O. A. Durak ◽  
James J. Sloan ◽  
David Gains ◽  
...  
Keyword(s):  
Gas Sensing ◽  
Methane Emissions ◽  
Instrument Design ◽  
Imaging Spectrometer ◽  
Industrial Facilities ◽  
Small Satellites ◽  
Prompt Corrective Action ◽  
Fabry Perot ◽  
Shortwave Infrared ◽  
Methane Concentrations

Abstract. The demonstration satellite GHGSat-D or “Claire”, launched on June 21, 2016, is the first in a planned constellation of small satellites designed and operated by GHGSat, Inc. to measure greenhouse gas emissions at the facility scale from space. Its instrument measures methane concentrations by collecting and spectrally decomposing solar backscattered radiation in the shortwave infrared using a compact fixed-cavity Fabry-Perot imaging spectrometer. The effective spatial resolution of 50 × 50 m2 over targeted 12 × 12 km2 scenes is unprecedented for a space-based gas sensing spectrometer. Here we report on the instrument design, forward model and retrieval procedure, and present several examples of retrieved methane emissions observed over industrial facilities. We discuss the sources of error limiting the performance of GHGSat-D and identify improvements for our follow-on satellites. Claire's mission has proven that small satellites can be used to identify and quantify methane emissions from industrial facilities, enabling operators to take prompt corrective action.

scholarly journals In situ measurement of CO<sub>2</sub> and CH<sub>4</sub> from aircraft over northeast China and comparison with OCO-2 data

2020 ◽  
Vol 13 (7) ◽  
pp. 3595-3607
Author(s):  
Xiaoyu Sun ◽  
Minzheng Duan ◽  
Yang Gao ◽  
Rui Han ◽  
Denghui Ji ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Northeast China ◽  
In Situ Measurements ◽  
Vertical Profiles ◽  
Large Area ◽  
Swir Band ◽  
Shortwave Infrared ◽  
The Vertical Distribution ◽  
Data Assimilation System

Abstract. Several satellites have been launched to monitor the increasing concentrations of greenhouse gases, especially CO2 and CH4 in the atmosphere, through backscattered hyperspectral radiance in the shortwave infrared (SWIR) band. The vertical profiles of greenhouse gases and aerosols could strongly affect the results from these instruments. To investigate the effects of the vertical distribution of CO2 on the uncertainty of SWIR satellite retrieval results, we conducted observations of the vertical profiles of CO2, CH4 and aerosol particles at 0.6–7 km above sea level using a Beechcraft King Air 350ER in Jiansanjiang (46.77∘ N, 131.99∘ E), Heilongjiang Province, northeast China, on 7–12 August 2018. The profiles from this aircraft captured a decrease in CO2 from 2 km to the minimum altitude due to the absorption of vegetation at the surface in summer. CH4 measurements showed about a 0.2 ppm increase from 2.0 to 0.6 km on 10 August, which may result from emissions from the large area of paddy fields below, and a constant mole fraction between 1.951 and 1.976 ppm was recorded at 2 km and above. Comparison of CO2 profiles from a new version of the carbon cycle data assimilation system Tan-Tracker (v1), retrievals from OCO-2 and aircraft measurements was conducted. The results from OCO-2 and the assimilation model system Tan-Tracker captured the vertical structure of CO2 above 3 km, whereas below 3 km the values from OCO-2 and the Tan-Tracker model were lower than those from in situ measurements. Column-averaged CO2 volume mole fractions calculated from in situ measurements showed biases of -4.68±0.44 ppm (-1.18±0.11%) compared to OCO-2 retrievals.

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