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Academic literature on the topic 'Filter wheel infrared spectrometers'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Filter wheel infrared spectrometers"

1

Sum, Stephen T., and Steven D. Brown. "Standardization of Fiber-Optic Probes for Near-Infrared Multivariate Calibrations." Applied Spectroscopy 52, no. 6 (June 1998): 869–77. http://dx.doi.org/10.1366/0003702981944418.

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The standardization of Fourier transform near-infrared (FT-NIR) spectrometers equipped with fiber-optic probes was investigated. FT-NIR spectra of caustic brines for an industrial process were measured on two different instruments. Calibration transfer across the instruments and probes was studied by employing calibration models built on one instrument to predict properties from spectra measured on the other. The transfer was examined by using spectra without and with preprocessing. The preprocessing methods included a Savitzky–Golay (SG) derivative polynomial filter, a procedure based on a finite impulse response (FIR) filter, and a combination of both. In addition to being a preprocessing technique, the FIR filter is also a standardization method that transforms the instrument response function of one instrument to match that of another. The transformation is performed over a moving processing window without the use of transfer standards. In this study, application of the FIR filter to first-derivative spectra provided the best multivariate calibration models and led to the successful transfer of calibration across different probes and spectrometers.

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2

Hillmer, Hartmut, Carsten Woidt, André Istock, Aliaksei Kobylinskiy, Duc Toan Nguyen, Naureen Ahmed, Robert Brunner, and Thomas Kusserow. "Role of Nanoimprint Lithography for Strongly Miniaturized Optical Spectrometers." Nanomaterials 11, no. 1 (January 11, 2021): 164. http://dx.doi.org/10.3390/nano11010164.

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Optical spectrometers and sensors have gained enormous importance in metrology and information technology, frequently involving the question of size, resolution, sensitivity, spectral range, efficiency, reliability, and cost. Nanomaterials and nanotechnological fabrication technologies have huge potential to enable an optimization between these demands, which in some cases are counteracting each other. This paper focuses on the visible and near infrared spectral range and on five types of optical sensors (optical spectrometers): classical grating-based miniaturized spectrometers, arrayed waveguide grating devices, static Fabry–Pérot (FP) filter arrays on sensor arrays, tunable microelectromechanical systems (MEMS) FP filter arrays, and MEMS tunable photonic crystal filters. The comparison between this selection of concepts concentrates on (i) linewidth and resolution, (ii) required space for a selected spectral range, (iii) efficiency in using available light, and (iv) potential of nanoimprint for cost reduction and yield increase. The main part of this review deals with our own results in the field of static FP filter arrays and MEMS tunable FP filter arrays. In addition, technology for efficiency boosting to get more of the available light is demonstrated.

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3

Hillmer, Hartmut, Carsten Woidt, André Istock, Aliaksei Kobylinskiy, Duc Toan Nguyen, Naureen Ahmed, Robert Brunner, and Thomas Kusserow. "Role of Nanoimprint Lithography for Strongly Miniaturized Optical Spectrometers." Nanomaterials 11, no. 1 (January 11, 2021): 164. http://dx.doi.org/10.3390/nano11010164.

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Optical spectrometers and sensors have gained enormous importance in metrology and information technology, frequently involving the question of size, resolution, sensitivity, spectral range, efficiency, reliability, and cost. Nanomaterials and nanotechnological fabrication technologies have huge potential to enable an optimization between these demands, which in some cases are counteracting each other. This paper focuses on the visible and near infrared spectral range and on five types of optical sensors (optical spectrometers): classical grating-based miniaturized spectrometers, arrayed waveguide grating devices, static Fabry–Pérot (FP) filter arrays on sensor arrays, tunable microelectromechanical systems (MEMS) FP filter arrays, and MEMS tunable photonic crystal filters. The comparison between this selection of concepts concentrates on (i) linewidth and resolution, (ii) required space for a selected spectral range, (iii) efficiency in using available light, and (iv) potential of nanoimprint for cost reduction and yield increase. The main part of this review deals with our own results in the field of static FP filter arrays and MEMS tunable FP filter arrays. In addition, technology for efficiency boosting to get more of the available light is demonstrated.

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4

Anderson, Mark S. "Infrared Spectroscopy with an Atomic Force Microscope." Applied Spectroscopy 54, no. 3 (March 2000): 349–52. http://dx.doi.org/10.1366/0003702001949618.

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An atomic force microscope (AFM) has been used to measure the modulated photothermal displacement of a surface, thus acting as a local detector. This was demonstrated with Fourier transform infrared (FT-IR) and filter spectrometers focused on various samples. Similarly, surface layers were removed by an AFM and analyzed by the photothermal deformation of the coated cantilever. This work shows that the AFM can function as both an infrared detector and a precise surface separation device for spectroscopic analysis. The AFM combined with an FT-IR has the potential to enhance the sensitivity, selectivity, and spatial resolution of infrared spectroscopy.

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5

Kilgus, Jakob, Kristina Duswald, Gregor Langer, and Markus Brandstetter. "Mid-Infrared Standoff Spectroscopy Using a Supercontinuum Laser with Compact Fabry–Pérot Filter Spectrometers." Applied Spectroscopy 72, no. 4 (January 12, 2018): 634–42. http://dx.doi.org/10.1177/0003702817746696.

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Mid-infrared (MIR) supercontinuum (SC) lasers are an attractive new option in the field of IR spectroscopy, especially for standoff detection. Supercontinuum radiation unites high brightness, high spatial coherence, and broadband spectral coverage, thereby surpassing thermal IR sources and challenging quantum cascade lasers. The employed SC source operates in the spectral region of 1.2–4.6 µm, filling the spectral gap where quantum cascade lasers lack broader availability. In this work, the SC radiation was recorded by compact Fabry–Pérot filter spectrometers ideally suited for sensitive standoff detection with real-time capability. The noise performance of the setup and measurements of different substances at standoff distances are presented, e.g., of different paints on a metal surface and an explosive precursor. Furthermore, the real-time capability of the setup is demonstrated by monitoring the evaporation of liquid 2-propanol.

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6

Ayasse, Alana K., Philip E. Dennison, Markus Foote, Andrew K. Thorpe, Sarang Joshi, Robert O. Green, Riley M. Duren, David R. Thompson, and Dar A. Roberts. "Methane Mapping with Future Satellite Imaging Spectrometers." Remote Sensing 11, no. 24 (December 17, 2019): 3054. http://dx.doi.org/10.3390/rs11243054.

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This study evaluates a new generation of satellite imaging spectrometers to measure point source methane emissions from anthropogenic sources. We used the Airborne Visible and Infrared Imaging Spectrometer Next Generation(AVIRIS-NG) images with known methane plumes to create two simulated satellite products. One simulation had a 30 m spatial resolution with ~200 Signal-to-Noise Ratio (SNR) in the Shortwave Infrared (SWIR) and the other had a 60 m spatial resolution with ~400 SNR in the SWIR; both products had a 7.5 nm spectral spacing. We applied a linear matched filter with a sparsity prior and an albedo correction to detect and quantify the methane emission in the original AVIRIS-NG images and in both satellite simulations. We also calculated an emission flux for all images. We found that all methane plumes were detectable in all satellite simulations. The flux calculations for the simulated satellite images correlated well with the calculated flux for the original AVIRIS-NG images. We also found that coarsening spatial resolution had the largest impact on the sensitivity of the results. These results suggest that methane detection and quantification of point sources will be possible with the next generation of satellite imaging spectrometers.

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7

Cadusch, Jasper J., Jiajun Meng, Benjamin J. Craig, Vivek Raj Shrestha, and Kenneth B. Crozier. "Visible to long-wave infrared chip-scale spectrometers based on photodetectors with tailored responsivities and multispectral filters." Nanophotonics 9, no. 10 (June 23, 2020): 3197–208. http://dx.doi.org/10.1515/nanoph-2020-0114.

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AbstractChip-scale microspectrometers, operational across the visible to long-wave infrared spectral region will enable many remote sensing spectroscopy applications in a variety of fields including consumer electronics, process control in manufacturing, as well as environmental and agricultural monitoring. The low weight and small device footprint of such spectrometers could allow for integration into handheld, unattended vehicles or wearable-electronics based systems. This review will focus on recent developments in nanophotonic microspectrometer designs, which fall into two design categories: (i) planar filter-arrays used in conjunction with visible or IR detector arrays and (ii) microspectrometers using filter-free detector designs with tailored responsivities, where spectral filtering and photocurrent generation occur within the same nanostructure.

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8

Levine, Steven P., Ying Li-Shi, Christopher R. Strang, and Xiao Hong-Kui. "Advantages and Disadvantages in the Use of Fourier Transform Infrared (FTIR) and Filter Infrared (FIR) Spectrometers for Monitoring Airborne Gases and Vapors of Industrial Hygiene Concern." Applied Industrial Hygiene 4, no. 7 (July 1989): 180–87. http://dx.doi.org/10.1080/08828032.1989.10390419.

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9

Zhang, Z. M., C. J. Zhu, and L. M. Hanssen. "Absolute Detector Calibration Applied to Nonlinearity Error Correction in FT-IR Measurements." Applied Spectroscopy 51, no. 4 (April 1997): 576–79. http://dx.doi.org/10.1366/0003702971940639.

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A method for correcting the effects of detector nonlinearity in Fourier transform infrared (FT-IR) spectrometers has been developed. The method incorporates directly measured results. No adjustable parameters are used. The absolute responsivity of two HgCdTe (MCT) detector/preamplifier systems as a function of incident photon flux was calibrated against a transfer-standard Ge detector with a diode laser source at 1.32 μm. With the use of the MCT detector, preliminary measurements were made on an FT-IR spectrometer in both the near- and mid-infrared spectral regions. The measured nonlinear interferograms were corrected by using the detector response curve and the measured dc output of the preamplifier. In the resultant spectra, the nonzero values in the spectral region below the detector cutoff frequency were significantly reduced when the corrected interferograms were used. The transmittance spectra of a Si wafer and a neutral-density filter were measured with an MCT detector and a deuterated triglycine sulfate (DTGS) detector. Errors in transmittance caused by detector nonlinearity were greatly reduced with the use of the correction method.

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10

HARTKE, JOHN, NATHAN HAGAN, BRIAN A. KINDER, and EUSTACE L. DERENIAK. "COMPUTED TOMOGRAPHIC IMAGING SPECTROMETER (CTIS) AND A SNAPSHOT HYPERSPECTRAL IMAGER AND POLARIMETER." International Journal of High Speed Electronics and Systems 18, no. 03 (September 2008): 505–17. http://dx.doi.org/10.1142/s0129156408005527.

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A Computed Tomographic Imagining Spectrometer (CTIS) is an imaging spectrometer system that acquires all the information required to reconstruct the data cube in a single integration time. This is compared to conventional systems such as whiskbroom systems, pushbroom systems, and filter wheel systems that requiring scanning in one or more coordinate direction. CTIS systems have been designed and tested in several different singular spectral bands as well as a dual band system. In addition to hyperspectral imaging spectrometers, CTIS systems have been used as an imaging spectropolarimeter and as a ranging imaging spectrometer. An imaging spectropolarimeter not only reconstructs the spectral content at every point in the scene of interest, but also provides the Stokes parameters at every point. So instead of just one data cube, we get four data cubes, one for each element of the Stokes vector. The ranging CTIS incorporates a LADAR system with the CTIS to provide the range information to targets in scene as well as the reconstructed data cube. The physical principles behind the CTIS system are presented as well as some of representative data from single band systems, the dual band proof of concept, the spectropolarimeter, and the ranging imaging spectrometer.

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Books on the topic "Filter wheel infrared spectrometers"

1

A portable spectrometer for use from 5 to 15 micrometers. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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2

B, Kahle Anne, and Jet Propulsion Laboratory (U.S.), eds. A portable spectrometer for use from 5 to 15 micrometers. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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Conference papers on the topic "Filter wheel infrared spectrometers"

1

Azcue, Joaquín, Carlos Villanueva, Antonio Sánchez, Cristina Polo, Manuel Reina, Angel Carretero, Josefina Torres, et al. "Cryogenic filter wheel design for an infrared instrument." In SPIE Optical Engineering + Applications, edited by Marija Strojnik Scholl and Gonzalo Páez. SPIE, 2014. http://dx.doi.org/10.1117/12.2060969.

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2

Pascual Laguna, Alejandro, Kenichi Karatsu, Juan Bueno, Shahab O. Dabironezare, David J. Thoen, Vignesh Murugesan, Akira Endo, and Jochem J. A. Baselmans. "Filter-bank for broadband sub-mm wave superconducting on-chip spectrometers." In Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy X, edited by Jonas Zmuidzinas and Jian-Rong Gao. SPIE, 2020. http://dx.doi.org/10.1117/12.2560483.

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3

Lemke, D., A. Böhm, F. de Bonis, M. Ebert, T. Gross, U. Grözinger, T. Henning, et al. "Cryogenic filter- and spectrometer wheels for the Mid Infrared Instrument (MIRI) of the James Webb Space Telescope (JWST)." In SPIE Astronomical Telescopes + Instrumentation, edited by Eli Atad-Ettedgui, Joseph Antebi, and Dietrich Lemke. SPIE, 2006. http://dx.doi.org/10.1117/12.671230.

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4

Holmes, Rory, Ulrich Grözinger, Oliver Krause, and Mario Schweitzer. "A filter wheel mechanism for the Euclid near-infrared imaging photometer." In SPIE Astronomical Telescopes + Instrumentation. SPIE, 2010. http://dx.doi.org/10.1117/12.856941.

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5

Glimsdal, Eirik, Erik Brendhagen, Jan Brede Thomassen, Arthur D. van Rheenen, and Lars T. Heen. "Obtaining spectral information from infrared scenarios using hyper-spectral cameras and cameras with spinning filter wheel." In SPIE Security + Defence, edited by Gary Kamerman, Ove Steinvall, Gary J. Bishop, Ainsley Killey, and John D. Gonglewski. SPIE, 2014. http://dx.doi.org/10.1117/12.2066849.

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6

Trigg, A. D. "A Combined Infrared/Visible Photoemission Microscope." In ISTFA 1999. ASM International, 1999. http://dx.doi.org/10.31399/asm.cp.istfa1999p0457.

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Abstract The photoemission microscope (PEM) is a powerful and widely used tool for location and identification of failure sites on integrated circuit (IC) chip and wafers. A PEM operating in the infrared (IRPEM) offers several advantages over systems operating in the visible part of the spectrum.. A combined PEM/IRPEM has been built having a cooled (77K) mercury cadmium telluride (MCT) focal plane array (FPA) sensitive in the range 800 to 2500 nm, an intensified charge coupled device (CCD) camera sensitive in the range 350 to 900 nm and a conventional, colour CCD camera. A cooled filter wheel enables the user to select the spectral range of the FPA. Direct comparison of photoemission images obtained in the IR and visible parts of the spectrum is straightforward, while the colour camera permits easy navigation around the device and facilitates probing of wafers. Comparing the sensitivity of the IRPEM with a conventional PEM camera (GEN III intensifier) indicates that for forward bias emission and NMOS emission the IRPEM is approximately 500 times more sensitive. Applications of the system to failure analysis in ICs, sensor devices and electronics packaging are described.

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7

Ajay, Vibhute Akash, Adi P. Suherlan, Gim Song Soh, Shaohui Foong, Kristin Wood, and Kevin Otto. "Localization and Trajectory Tracking of an Autonomous Spherical Rolling Robot Using IMU and Odometry." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47223.

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Pose estimation and trajectory tracking of a spherical rolling robot is a complex problem owing to kinematics and dynamics of the system and the constraint of not being able to add range sensors like ultrasonic or infrared distance sensors on the robot. The pose estimate for the robot under study, needs to be derived purely using inertial measurement unit (IMU) and odometry from analog wheel encoders, which in turn include high uncertainties. Adding to this, the system kinematic and dynamic model to accurately predict the behavior is quite complex. In this paper we present a simplified kinematic model, sensor filtering techniques and the control strategy adopted to locate and navigate the robot to a desired waypoint autonomously. A filter block provides clean heading output from the IMU and incremental pulses from an analog wheel encoder; the pose estimator uses heading and incremental pulses to calculate its position according to the system kinematic model. A pure-pursuit algorithm generates left & right wheel velocities to keep the robot on a commanded waypoint, using the robot kinematic model and localization data. The validity of our kinematic model and performance of our waypoint tracking are verified with the ground truth using a motion capture system and onboard sensors, where the application domain is bio-inspired, micro (small scale) robotics.

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8

Montironi, Maria Alessandra, and Harry H. Cheng. "An Attention-Based Framework for Context Identification in Autonomous Robots." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68184.

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Being able to correctly assess the context it is currently acting in is a very important ability for every autonomous robot performing a task in a real world scenario such as navigating, manipulating an object or interacting with a user. Sensors are the primary interface with the external world and the means through which contextual knowledge is generated. Humans and animals use cognitive processes such as attention to selectively process perceived task-relevant information and to recognize the context they are currently acting in. Biologically inspired computational models of attention have been developed in recent years to be used as interpretation keys of mainly visual sensor data. This paper presents a new framework for situation assessment that expands existing computational models of attention by providing a unified methodology to interpret and combine data from different sources. The method utilizes probabilistic state estimation techniques such as Bayesian recursive estimation, Kalman filter, and hidden Markov models to interpret features extracted from sensor data and formulate hypotheses about different aspects of the task the robot is performing or of the environment it is currently acting in. The concept of Bayesian surprise is also used to mark the information content of each new hypothesis. A weight that takes into account the confidence in the estimate that generated the hypothesis, its information content, and the quality of the data is then calculated. The methodology presented in this paper is general and allows to consistently apply the framework to data from different types of sensors and to then combine their hypotheses. Once formulated, hypotheses can then be used for context-based reasoning and plan adaptation. The framework was implemented on a small two-wheel differential drive robot equipped with a camera, an ultrasonic and two infrared range sensors. Three different sets of results that evaluate the performance of different features of the framework are presented. First, the method has been applied to detect a target object and to distinguish it from similar objects. Second, the hypotheses strength calculation method has been characterized by isolating the effect of belief, surprise, and of the quality of the data. Third, the combination of hypotheses from different modules has been evaluated in the context of environment classification.

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