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Journal articles on the topic 'Sensitivity calibration'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Peiman, Reihaneh, and Keith Clarke. "The Impact of Data Time Span on Forecast Accuracy through Calibrating the SLEUTH Urban Growth Model." International Journal of Applied Geospatial Research 5, no. 3 (July 2014): 21–35. http://dx.doi.org/10.4018/ijagr.2014070102.

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Does the spacing of time intervals used for model input data have an impact on the model's subsequent calibration and so projections of land use change and urban growth? This study evaluated the performance of the SLEUTH urban growth and land use change model through two independent model calibrations with different temporal extents (1972 to 2006 vs. 2000 to 2006) for the historical Italian cities of Pisa Province and their surroundings. The goal in performing two calibrations was to investigate the sensitivity of SLEUTH forecasts to longer or shorter calibration timelines, that is does calibrating the model over a longer time period produce better model fits and therefore forecasts? The best fit parameters from each calibration were then used in forecasting urban growth in the area up to the year 2027. The authors findings show that the spatial growth estimated by the model was strongly influenced by the physical landscape and road networks. The forecast outputs over 100 Monte Carlo trials reflect the start of newly formed detached settlements towards and along existing roads, i.e., classic urban sprawl. The authors conclude that the short term calibration was a better model fit compared to the long term calibration. Nevertheless, the absolute preference for the short-term calibration over long-term implies that time-sensitivity in calibration remains a challenge for SLEUTH applications.

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2

Paans, Anne M. J., and Daniel W. Lamotte. "Sensitivity and cross calibration." European Journal of Nuclear Medicine 15, no. 11 (1989): 756–60. http://dx.doi.org/10.1007/bf00631771.

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3

Kaizerman, S., G. Zak, B. Benhabib, and R. G. Fenton. "A Sensitivity Analysis Based Method for Robot Calibration." Journal of Mechanical Design 116, no. 2 (June 1, 1994): 607–13. http://dx.doi.org/10.1115/1.2919421.

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A new robot kinematic calibration procedure is presented. The parameters of the kinematic model are estimated through a relationship established between the deviations in the joint variables and the deviations in the model parameters. Thus, the new method can be classified as an inverse calibration procedure. Using suitable sensitivity analysis methods, the matrix of the partial derivatives of joint variables with respect to robot parameters is calculated without having explicit expressions of joint variables as a function of task space coordinates (closed inverse kinematic solution). This matrix provides the relationship between the changes in the joint variables and the changes in the parameter values required for the calibration. Two deterministic sensitivity analysis methods are applied, namely the Direct Sensitivity Approach and the Adjoint Sensitivity Method. The new calibration procedure was successfully tested by the simulated calibrations of a two-degree-of-freedom revolute-joint planar manipulator.

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4

Piedehierro, A. A., M. L. Cancillo, J. M. Vilaplana, and A. Serrano. "Long-Term Global Irradiance Calibration of Multifilter UV Radiometers." Journal of Atmospheric and Oceanic Technology 36, no. 12 (December 2019): 2415–27. http://dx.doi.org/10.1175/jtech-d-18-0132.1.

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AbstractMultifilter instruments such as the Norwegian Institute for Air Research (NILU)-UV Irradiance Meter (NILU-UV) are suitable for long-term monitoring of UV radiation, as long as their irradiance scale is maintained. The sensitivity of these instruments varies with time; thus, periodic standard absolute calibrations are required. However, standard calibrations may be insufficient to characterize the short-term variations of channels sensitivity. Therefore, results from standard calibrations have to be combined with the information derived from frequent relative calibrations, leading to a stable irradiance scale. This paper focuses on the long-term application of three calibration methods, hereinafter referred to as CC, CC2, and CC2(ϕ), as applied to the NILU-UV 119 multifilter radiometer. Here a generalization is proposed, consisting of using empirical functions in order to guarantee the accurate calibration of multifilter instruments over long time periods. These function-based methods need to be updated regularly to account for changes on instrument sensitivity. The changes in sensitivity of the NILU-UV 119 were found to be channel dependent. The detected drifts range from 23% to 42% for a 4-yr period of study. Time series of calibrated irradiance are obtained by applying the proposed methods. Results suggest that calibration methods using empirical functions perform better than classic calibration approaches that use constant calibration factors. When methods CC2 and CC2(ϕ) are applied, calibrated irradiances agree with the measurements of reference within ±5% for channel 305 and within ±3% for channels 312, 320, and 340.

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Kouyama, Kato, Kikuchi, Sakuma, Miura, Tachikawa, Tsuchida, Obata, and Nakamura. "Lunar Calibration for ASTER VNIR and TIR with Observations of the Moon in 2003 and 2017." Remote Sensing 11, no. 22 (November 19, 2019): 2712. http://dx.doi.org/10.3390/rs11222712.

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which is a multiband pushbroom sensor suite onboard Terra, has successfully provided valuable multiband images for approximately 20 years since Terra’s launch in 1999. Since the launch, sensitivity degradations in ASTER’s visible and near infrared (VNIR) and thermal infrared (TIR) bands have been monitored and corrected with various calibration methods. However, a unignorable discrepancy between different calibration methods has been confirmed for the VNIR bands that should be assessed with another reliable calibration method. In April 2003 and August 2017, ASTER observed the Moon (and deepspace) for conducting a radiometric calibration (called as lunar calibration), which can measure the temporal variation in the sensor sensitivity of the VNIR bands enough accurately (better than 1%). From the lunar calibration, 3–6% sensitivity degradations were confirmed in the VNIR bands from 2003 to 2017. Since the measured degradations from the other methods showed different trends from the lunar calibration, the lunar calibration suggests a further improvement is needed for the VNIR calibration. Sensitivity degradations in the TIR bands were also confirmed by monitoring the variation in the number of saturated pixels, which were qualitatively consistent with the onboard and vicarious calibrations.

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6

Wit, J. C., L. J. de Nooijer, C. Barras, F. J. Jorissen, and G. J. Reichart. "A reappraisal of the vital effect in cultured benthic foraminifer <I>Bulimina marginata</I> on Mg/Ca values: assessing temperature uncertainty relationships." Biogeosciences 9, no. 9 (September 27, 2012): 3693–704. http://dx.doi.org/10.5194/bg-9-3693-2012.

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Abstract. The reconstruction of past temperatures is often achieved through measuring the Mg/Ca value of foraminiferal test carbonate. The diversity in foraminiferal Mg/Ca–temperature calibrations suggests that there is also a biological control on this proxy. This study presents a new Mg/Ca–temperature calibration for the benthic foraminifer Bulimina marginata, based on cultures under a range of temperatures (4–14 °C). Measured Mg/Ca values for B. marginata correlate with temperature (Mg/Ca = (1.10 ± 0.10) e(0.045±0.009)T, R2 = 0.28 p < 0.01). The inter-individual variability is, however, also significant (standard deviation is 10–35% of the average). Before applying this or any calibration, the effect of the inter-individual variability on the accuracy of the Mg/Ca–temperature calibration has to be evaluated. The inter-individual variability is quantified and split into three components, namely (1) an analytical error, (2) an environmental effect and (3) a vital effect. The effect of inter-individual variability on the accuracy of Mg/Ca–temperature calibrations depends on the sensitivity of the calibration used and the number of individuals measured (temperature uncertainty = (0.33 · N−0.50)/sensitivity). The less sensitive a calibration, the greater is the impact of inter-individual variability, which can partly be circumvented by measuring more individuals. This study shows the link between inter-individual variability and sensitivity and quantifies their influence on the accuracy of Mg/Ca–temperature calibrations. Differences in the sensitivity of the Mg/Ca–temperature calibration of foraminifera may depend on the environmental conditions in which foraminifera live and their concurring ecological strategies.

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7

Hinz, Martin. "Sensitivity of Radiocarbon Sum Calibration." Journal of Computer Applications in Archaeology 3, no. 1 (August 12, 2020): 238. http://dx.doi.org/10.5334/jcaa.53.

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8

Wit, J. C., L. J. de Nooijer, C. Barras, F. Jorissen, and G. J. Reichart. "A reappraisal of the vital effect in benthic foraminifera on Mg/Ca ratios: species specific uncertainty relationships." Biogeosciences Discussions 9, no. 4 (April 24, 2012): 4947–77. http://dx.doi.org/10.5194/bgd-9-4947-2012.

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Abstract. The reconstruction of past temperatures is often achieved through measuring the Mg/Ca value of foraminiferal test carbonate. The diversity in foraminiferal Mg/Ca-temperature calibrations suggests that there is also a biological control on this proxy. This study presents a new Mg/Ca-temperature calibration for the benthic foraminifer Bulimina marginata, based on cultures under a range of temperatures (4–14 ° C). Measured Mg/Ca values for B. marginata correlate well with temperature (Mg/Ca = 1.10 ± 0.10e0.045 ± 0.009T, R2=0.28, p<0.01). The inter-individual variability is, however, also significant (standard deviation is 10–35 % of the average). Before applying this or any calibration, the effect of the inter-individual variability on the accuracy of the Mg/Ca-temperature calibration has to be evaluated. The inter-individual variability is quantified and split in three components, namely (1) an analytical error; (2) an environmental effect and (3) a vital effect. The effect of inter-individual variability on the accuracy of Mg/Ca-temperature calibrations is depending on the sensitivity of the used calibration and the number of individuals measured (Temperature uncertainty = (0.33 · N−0.50)/sensitivity). The less sensitive a calibration, the greater is the impact of inter-individual variability. This can partly be circumvented by measuring more individuals. Differences in sensitivity may depend on the stability of the environment in which the foraminifera live and the concurring ecological strategy. This study shows the link between inter-individual variability en sensitivity and their influence on the accuracy of \\Mg/Ca-temperature calibrations.

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9

Pesto, S., A. Koratkar, E. Blitz, and I. N. Evans. "Complete Atlases of Recalibrated Archival HST FOS Spectra of Quasars and AGN." International Astronomical Union Colloquium 159 (1997): 134–35. http://dx.doi.org/10.1017/s0252921100039816.

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The ionization structures of AGNs are determined by the specific ionization mechanisms and the shapes of the ionizing continua. The technique of using emission-line intensity ratios to classify objects and investigate their ionization mechanisms is enhanced significantly by combining high-quality UV and optical spectrophotometry. The HST archive is an excellent source of such data.The FOS spectra are recalibrated using the latest ‘average inverse sensitivity’ (AIS) calibration. This new method for flux calibrating FOS data (1) normalizes count data from all apertures to the 4”.3 aperture to account for changes of aperture throughput as a function of the Optical Telescope Assembly focus; (2) corrects the data for time-dependent detector sensitivity degradation; and (3) scales the data to the white-dwarf reference scale. The AIS calibration method has been developed over a period of several years, with improvements applied progressively based on observed deficiencies and/or discrepancies of the existing calibrations. Indeed, the final AIS calibration incorporates corrections in the wavelength overlap regions of adjacent gratings derived based on inconsistencies discovered as a result of this study of over 1000 FOS spectra.

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10

IWATA, Koichi, and Hiro-o. HAMAGUCHI. "Sensitivity calibration of multichannel raman spectrometers." Journal of the Spectroscopical Society of Japan 37, no. 2 (1988): 129–30. http://dx.doi.org/10.5111/bunkou.37.129.

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11

Tarasenko, V. V. "Sensitivity calibration in intracavity laser spectroscopy." Optics and Spectroscopy 101, no. 6 (December 2006): 839–42. http://dx.doi.org/10.1134/s0030400x06120046.

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12

Jim ZC, Lai. "On the sensitivity of camera calibration." Image and Vision Computing 11, no. 10 (December 1993): 656–64. http://dx.doi.org/10.1016/0262-8856(93)90061-k.

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13

Yapo, Patrice O., Hoshin Vijai Gupta, and Soroosh Sorooshian. "Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data." Journal of Hydrology 181, no. 1-4 (June 1996): 23–48. http://dx.doi.org/10.1016/0022-1694(95)02918-4.

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14

O'Brien, D. M., I. N. Polonsky, and J. B. Kumer. "Sensitivity of remotely sensed trace gas concentrations to polarisation." Atmospheric Measurement Techniques 8, no. 11 (November 23, 2015): 4917–30. http://dx.doi.org/10.5194/amt-8-4917-2015.

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Abstract. Current and proposed space missions estimate column-averaged concentrations of trace gases (CO2, CH4 and CO) from high resolution spectra of reflected sunlight in absorption bands of the gases. The radiance leaving the top of the atmosphere is partially polarised by both reflection at the surface and scattering within the atmosphere. Generally, the polarisation state is unknown and could degrade the accuracy of the concentration measurements. The sensitivity to polarisation is modelled for the proposed geoCARB instrument, which will include neither polarisers nor polarisation scramblers to select particular polarisation states from the incident radiation. The radiometric and polarimetric calibrations proposed for geoCARB are outlined, and a model is developed for the polarisation properties of the geoCARB spectrographs. This model depends principally upon the efficiencies of the gratings to polarisations parallel and perpendicular to the rulings of the gratings. Next, an ensemble of polarised spectra is simulated for geoCARB observing targets in India, China and Australia from geostationary orbit at longitude 110° E. The spectra are analysed to recover the trace gas concentrations in two modes, the first denied access to the polarimetric calibration and the second with access. The retrieved concentrations using the calibration data are almost identical to those that would be obtained with polarisation scramblers, while the retrievals without calibration data contain outliers that do not meet the accuracies demanded by the mission.

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15

O'Brien, D. M., I. N. Polonsky, and J. B. Kumer. "Sensitivity of remotely-sensed trace gas concentrations to polarisation." Atmospheric Measurement Techniques Discussions 8, no. 8 (August 24, 2015): 8779–816. http://dx.doi.org/10.5194/amtd-8-8779-2015.

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Abstract. Current and proposed space missions estimate column-averaged concentrations of trace gases (CO2, CH4 and CO) from high resolution spectra of reflected sunlight in absorption bands of the gases. The radiance leaving the top of the atmosphere is partially polarised by both reflection at the surface and scattering within the atmosphere. Generally the polarisation state is unknown, and could degrade the accuracy of the concentration measurements. The sensitivity to polarisation is modelled for the proposed geoCARB instrument, which will include neither polarisers nor polarisation scramblers to select particular polarisation states from the incident radiation. The radiometric and polarimetric calibrations proposed for geoCARB are outlined, and a model is developed for the polarisation properties of the geoCARB spectrographs. This model depends principally upon the efficiencies of the gratings to polarisations parallel and perpendicular to the rulings of the gratings. Next an ensemble of polarised spectra is simulated for geoCARB observing targets in India, China and Australia from geostationary orbit at longitude 110° E. The spectra are analysed to recover the trace gas concentrations in two modes, the first denied access to the polarimetric calibration and the second with access. The retrieved concentrations using the calibration data are almost identical to those that would be obtained with polarisation scramblers, while the retrievals without calibration data contain outliers that do not meet the accuracies demanded by the mission.

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16

Bateman, Vesta I., William B. Leisher, Fred A. Brown, and Neil T. Davie. "Calibration of a Hopkinson Bar with a Transfer Standard." Shock and Vibration 1, no. 2 (1993): 145–52. http://dx.doi.org/10.1155/1993/354290.

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A program requirement for field test temperatures that are beyond the test accelerometer operational limits of −30° F and +150° F required the calibration of accelerometers at high shock levels and at the temperature extremes of −50° F and +160° F. The purposes of these calibrations were to insure that the accelerometers operated at the field test temperatures and to provide an accelerometer sensitivity at each test temperature. Because there is no National Institute of Standards and Technology traceable calibration capability at shock levels of 5,000–15,000 g for the temperature extremes of −50° F and +160° F, a method for calibrating and certifying the Hopkinson bar with a transfer standard was developed. Time domain and frequency domain results are given that characterize the Hopkinson bar. The National Institute of Standards and Technology traceable accuracy for the standard accelerometer in shock is ±5%. The Hopkinson bar has been certified with an uncertainty of 6%.

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17

Liebing, Patricia, Matthijs Krijger, Ralph Snel, Klaus Bramstedt, Stefan Noël, Heinrich Bovensmann, and John P. Burrows. "In-flight calibration of SCIAMACHY's polarization sensitivity." Atmospheric Measurement Techniques 11, no. 1 (January 15, 2018): 265–89. http://dx.doi.org/10.5194/amt-11-265-2018.

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Abstract. This paper describes the in-flight calibration of the polarization response of the SCIAMACHY polarization measurement devices (PMDs) and a selected region of its science channels. With the lack of polarized calibration sources it is not possible to obtain such a calibration from dedicated calibration measurements. Instead, the earthshine itself, together with a simplified radiative transfer model (RTM), is used to derive time-dependent and measurement-configuration-dependent polarization sensitivities. The results are compared to an instrument model that describes the degradation of the instrument as a result of a slow buildup of contaminant layers on its elevation and azimuth scan mirrors. This comparison reveals significant differences between the model prediction and the data, suggesting an unforeseen change between on-ground and in-flight calibration in at least one of the polarization-sensitive components of the optical bench. The possibility of mechanisms other than scan mirror contamination contributing to the degradation of the instrument will be discussed. The data are consistent with a polarization phase shift occurring in the beam split prism used to divert the light coming from the telescope to the different channels and polarization measurement devices. The extension of the instrument degradation model with a linear retarder enables the determination of the relevant parameters to describe this phase shift and ultimately results in a significant improvement of the polarization measurements as well as the polarization response correction of measured radiances.

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18

Trucano, T. G., L. P. Swiler, T. Igusa, W. L. Oberkampf, and M. Pilch. "Calibration, validation, and sensitivity analysis: What's what." Reliability Engineering & System Safety 91, no. 10-11 (October 2006): 1331–57. http://dx.doi.org/10.1016/j.ress.2005.11.031.

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Chesler, D. A., and C. W. Stearns. "Calibration of detector sensitivity in positron cameras." IEEE Transactions on Nuclear Science 37, no. 2 (April 1990): 768–72. http://dx.doi.org/10.1109/23.106712.

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20

Barbera, M., G. Micela, A. Collura, S. S. Murray, and M. V. Zombeck. "In‐Flight Calibration of theROSATHRI Ultraviolet Sensitivity." Astrophysical Journal 545, no. 1 (December 10, 2000): 449–53. http://dx.doi.org/10.1086/317780.

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21

Mourad, M., J. L. Bertrand-Krajewski, and G. Chebbo. "Stormwater quality models: sensitivity to calibration data." Water Science and Technology 52, no. 5 (September 1, 2005): 61–68. http://dx.doi.org/10.2166/wst.2005.0110.

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Stormwater quality modelling is a useful tool in sewer systems management. Available models range from simple to detailed complex ones. The models need local data to be calibrated. In practice, calibration data are rather lacking. Only few measured events are commonly used. In this paper, the effect of the number and the variability of calibration data on models of various levels of complexity are investigated. The study is carried out on “Le Marais” catchment for suspended solids where 40 reliable measured events and good knowledge of the sewer system are available. The method used is based on resampling subsets of measured events among the 40 available ones. Three types of models were calibrated using subsets of events of different sizes and characteristics resampled among the 40 available ones. For each calibration, the model was validated against the remaining events to stand upon the quality of the model. It was found that the models are quite sensitive to calibration data, a problem neglected in practical studies. The use of more complex models does not necessarily improve modelling results since more problems and error sources are to be expected. The findings are specific to “Le Marais” catchment and the models used.

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22

Zhu, LiMin, HongGen Luo, and Xu Zhang. "Uncertainty and sensitivity analysis for camera calibration." Industrial Robot: An International Journal 36, no. 3 (May 2009): 238–43. http://dx.doi.org/10.1108/01439910910950496.

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23

Zhao, Yiming, Antonella Boselli, Libera Nasti, Giaunluca Pisani, Nicola Spinelli, and Xuan Wang. "Polarization Lidar Calibration Techniques and Sensitivity Analysis." International Journal of Remote Sensing Applications 3, no. 4 (2013): 251. http://dx.doi.org/10.14355/ijrsa.2013.0304.12.

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24

Losby, Joseph, Jacob A. J. Burgess, Zhu Diao, David C. Fortin, Wayne K. Hiebert, and Mark R. Freeman. "Thermo-mechanical sensitivity calibration of nanotorsional magnetometers." Journal of Applied Physics 111, no. 7 (April 2012): 07D305. http://dx.doi.org/10.1063/1.3676231.

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25

Naulleau, Patrick P., Eric M. Gullikson, Andy Aquila, Simi George, and Dimitra Niakoula. "Absolute sensitivity calibration of extreme ultraviolet photoresists." Optics Express 16, no. 15 (July 18, 2008): 11519. http://dx.doi.org/10.1364/oe.16.011519.

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Kim, I. J., K. I. Seon, I. S. Yuk, U. W. Nam, H. Jin, J. H. Park, K. S. Ryu, et al. "SENSITIVITY CALIBRATION OF FAR-ULTRAVIOLET IMAGING SPECTROGRAPH." Journal of Astronomy and Space Sciences 21, no. 4 (December 1, 2004): 383–90. http://dx.doi.org/10.5140/jass.2004.21.4.383.

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Fiedler, R., and D. Donohue. "Pocket sensitivity calibration of multicollector mass spectrometers." Fresenius Zeitschrift f�r Analytische Chemie 331, no. 2 (1988): 209–13. http://dx.doi.org/10.1007/bf01105169.

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Tillmann, Peter, and Christian Paul. "The Repeatability File—A Tool for Reducing the Sensitivity of near Infrared Spectroscopy Calibrations to Moisture Variation." Journal of Near Infrared Spectroscopy 6, no. 1 (January 1998): 61–68. http://dx.doi.org/10.1255/jnirs.122.

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The study presented here demonstrates the benefits of using a repeatability file for near infrared (NIR) spectroscopy calibration development. Calibrations were developed from rapeseed samples of a narrow moisture content (2.5–6.0%) and used on a validation set with an extended moisture content (3.6–13.0%). The elevated moisture content of the validation samples led to increased standard errors of prediction ( SEP) for the calibrations predicting oil, protein, GSL and C18:1 content. Two methods were investigated to reduce the moisture sensitivity of the NIR spectroscopy calibrations: (a) the exclusion of water bands in the NIR spectral region during calibration development and (b) the use of a repeatability file as proposed by Westerhaus (1990). The increased SEPs could be decreased by up to 66% by either the exclusion of the water bands or the use of a repeatability file containing spectra of moist and dry samples. The best results were obtained with a repeatability file using spectra from a single sample. A spectral interpretation is given.

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Zhang, Fan, Di Liu, Aibing Liu, Xianyue Gang, and Lijun Li. "Numerical Study on the Phase Sensitivity Variation in Low Frequency Primary Microphone Calibrations." Applied Sciences 10, no. 11 (May 29, 2020): 3799. http://dx.doi.org/10.3390/app10113799.

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The low frequency phase characteristics of microphones in a monitoring system are crucial for characterizing large-scale natural and artificial activities—e.g., earthquakes, nuclear explosions, or rocket launchings. At present, microphones are simultaneously calibrated using in-situ or calibrator methods to get their phase consistency. However, the essential primary calibration, which traces their phase sensitivity to basic physical quantities, is grossly overlooked. Recently, we speculated that the microphone phase sensitivity is acoustically controlled by the pressure leakage and heat conduction effects in its back chamber, which will vary at low frequencies. Therefore, by means of the FEA (Finite Element Analysis) technique, simulations of laser pistonphone-based primary microphone calibrations are conducted both in the frequency and time domains. The frequency domain simulation quantifies the phase variation, while the time domain analysis helps us to understand the variation mechanism. It is found that the low frequency phase sensitivity is greatly influenced by its geometries and the venting state and should be pre-calibrated before serving.

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Xing, Li, Zhi Xiong, Jian-ye Liu, Wei Luo, and Ya-zhou Yue. "Offline Calibration for MEMS Gyroscope G-sensitivity Error Coefficients Based on the Newton Iteration and Least Square Methods." Journal of Navigation 71, no. 2 (October 11, 2017): 352–70. http://dx.doi.org/10.1017/s0373463317000625.

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With the improvement of the bias instability of Micro-Electromechanical Systems (MEMS) gyroscopes, the g-sensitivity error is gradually becoming one of the more important factors that affects the dynamic accuracy of a MEMS gyroscope. Hence there is a need for correcting the g-sensitivity error. However, the traditional calibration of g-sensitivity error uses a centrifuge. The calibration conditions are harsh, the process is complex and the cost is relatively high. In this paper, a fast and simple method of g-sensitivity error calibration for MEMS gyroscopes is proposed. With respect to the bias and random noise of a MEMS gyroscope, the g-sensitivity error magnitude is relatively small and it is simultaneously coupled with the Earth's rotation rate. Therefore, in order to correct the g-sensitivity error, this work models the calibration for g-sensitivity error coefficients, designs an (8+N)-position calibration scheme, and then proposes a fitting method for g-sensitivity error coefficients based on the Newton iteration and least squares methods. Multi-group calibration experiments designed on a MEMS Inertial Measurement Unit (MEMS IMU) product demonstrate that the proposed method can calibrate g-sensitivity error coefficients and correct the g-sensitivity error effectively and simply.

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Blagau, A., I. Dandouras, A. Barthe, S. Brunato, G. Facskó, and V. Constantinescu. "In-flight calibration of Hot Ion Analyser onboard Cluster." Geoscientific Instrumentation, Methods and Data Systems Discussions 3, no. 2 (July 26, 2013): 407–35. http://dx.doi.org/10.5194/gid-3-407-2013.

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Abstract. The Hot Ion Analyser (HIA), part of the Cluster Ion Spectrometry experiment, has the objective to measure the three-dimensional velocity distributions of ions. Due to a variety of factors (exposure to radiation, detector fatigue and aging, changes in the operating parameters etc.), the particles detection efficiency changes over time, prompting for continuous in-flight calibration. This is achieved by comparing the HIA data with the data provided by the WHISPER experiment on magnetosheath intervals, for the high sensitivity section of the instrument, or solar wind intervals, for the low sensitivity section. The paper presents in detail the in-flight calibration methodology, reports on the work carried out for calibrating HIA and discusses plans to extend this activity in order to ensure the instrument highest data accuracy.

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Sao, Davy, Tasuku Kato, Le Hoang Tu, Panha Thouk, Atiqotun Fitriyah, and Chantha Oeurng. "Evaluation of Different Objective Functions Used in the SUFI-2 Calibration Process of SWAT-CUP on Water Balance Analysis: A Case Study of the Pursat River Basin, Cambodia." Water 12, no. 10 (October 17, 2020): 2901. http://dx.doi.org/10.3390/w12102901.

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Many calibration techniques have been developed for the Soil and Water Assessment Tool (SWAT). Among them, the SWAT calibration and uncertainty program (SWAT-CUP) with sequential uncertainty fitting 2 (SUFI-2) algorithm is widely used and several objective functions have been implemented in its calibration process. In this study, eight different objective functions were used in a calibration of stream flow of the Pursat River Basin of Cambodia, a tropical monsoon and forested watershed, to examine their influences on the calibration results, parameter optimizations, and water resources estimations. As results, many objective functions performed better than satisfactory in calibrating the SWAT model. However, different objective functions defined different fitted values and sensitivity rank of the calibrated parameters, except Nash–Sutcliffe efficiency (NSE) and ratio of standard deviation of observations to root mean square error (RSR) which are equivalent and produced quite identical simulation results including parameter sensitivity and fitted parameter values, leading to the same water balance components and water yields estimations. As they generated reasonable fitted parameter values, either NSE or RSR gave better estimation results of annual average water yield and other water balance components such as annual average evapotranspiration, groundwater flow, surface runoff, and lateral flow according to the characteristics of the river basin and the results and data of previous studies. Moreover, either of them was also better in calibrating base flow, falling limb, and overall the entire flow phases of the hydrograph in this area.

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He Xiaoan, 何小安, 杜华冰 Du Huabing, 李朝光 Li Chaoguang, 易荣清 Yi Rongqing, and 肖体乔 Xiao Tiqiao. "Scintillator’s sensitivity calibration method in synchrotron radiation facility." High Power Laser and Particle Beams 24, no. 7 (2012): 1575–80. http://dx.doi.org/10.3788/hplpb20122407.1575.

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Chung, Sang-Ok, Ki-Jung Park, and Seung-Ho Son. "Calibration and Sensitivity Analysis of the RICEWQ Model." Journal of The Korean Society of Agricultural Engineers 50, no. 2 (March 31, 2008): 3–10. http://dx.doi.org/10.5389/ksae.2008.50.2.003.

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Veldman, Christiaan Smith. "Accelerometer transverse sensitivity calibration; validation and uncertainty estimation." ACTA IMEKO 4, no. 2 (June 29, 2015): 52. http://dx.doi.org/10.21014/acta_imeko.v4i2.209.

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The National Metrology Institute of South Africa (NMISA) has implemented a system to measure the transverse sensitivity of vibration transducers. As a mechanical device, the principle sensing axis of an accelerometer is not 100 % perpendicular to the mounting axis. This gives rise to the effect that the accelerometer will produce an electrical output even when a mechanical input perpendicular to the principle measurement axis is applied. The quantification of this "defect" parameter is of importance when high accuracy acceleration measurements are performed using accelerometers. This paper gives a brief overview of the system developed by the NMISA to measure the transverse sensitivity of vibration transducers. The paper then explores the validation of the system along with the uncertainty of measurement associated with the calibration system.

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Ngeontae, Wittaya, Yida Xu, Chao Xu, Wanlapa Aeungmaitrepirom, Thawatchai Tuntulani, Ernö Pretsch, and Eric Bakker. "Sensitivity and Working Range of Backside Calibration Potentiometry." Analytical Chemistry 79, no. 22 (November 2007): 8705–11. http://dx.doi.org/10.1021/ac071248a.

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Figueiro, Thiago, Mohamed Saib, Jean-Herve Tortai, and Patrick Schiavone. "PSF calibration patterns selection based on sensitivity analysis." Microelectronic Engineering 112 (December 2013): 282–86. http://dx.doi.org/10.1016/j.mee.2013.03.113.

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Ratto, M., S. Tarantola, and A. Saltelli. "Sensitivity analysis in model calibration: GSA-GLUE approach." Computer Physics Communications 136, no. 3 (May 2001): 212–24. http://dx.doi.org/10.1016/s0010-4655(01)00159-x.

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Zhu, G., X. W. Yang, and X. Liu. "Calibration of Accelerometer Temperature Sensitivity by Laser Interferometer." Journal of Physics: Conference Series 1065 (August 2018): 222003. http://dx.doi.org/10.1088/1742-6596/1065/22/222003.

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Jackett, R. J., and R. G. Barham. "Phase sensitivity uncertainty in microphone pressure reciprocity calibration." Metrologia 50, no. 2 (April 1, 2013): 170–79. http://dx.doi.org/10.1088/0026-1394/50/2/170.

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Hall, J. W., S. Tarantola, P. D. Bates, and M. S. Horritt. "Distributed Sensitivity Analysis of Flood Inundation Model Calibration." Journal of Hydraulic Engineering 131, no. 2 (February 2005): 117–26. http://dx.doi.org/10.1061/(asce)0733-9429(2005)131:2(117).

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ZHANG, Shizhou, and Satoshi KIYONO. "Fast Calibration of Mean Sensitivity of Angle Sensor." Journal of the Japan Society for Precision Engineering 65, no. 5 (1999): 725–29. http://dx.doi.org/10.2493/jjspe.65.725.

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Nakata, Narutoshi, Billie F. Spencer, and Amr S. Elnashai. "Sensitivity-Based External Calibration of Multiaxial Loading System." Journal of Engineering Mechanics 136, no. 2 (February 2010): 189–98. http://dx.doi.org/10.1061/(asce)0733-9399(2010)136:2(189).

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Ebert, Niklas, Jan-Christoph Goos, Frank Kirschbaum, Ergin Yildiz, and Thomas Koch. "Methods of sensitivity analysis in model-based calibration." Automotive and Engine Technology 5, no. 1-2 (March 14, 2020): 45–56. http://dx.doi.org/10.1007/s41104-020-00058-x.

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Kemball, A. J., and P. J. Diamond. "Continuum VLBI Polarimetry of 3C454.3 at 43 GHz." Symposium - International Astronomical Union 175 (1996): 33–34. http://dx.doi.org/10.1017/s0074180900079900.

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Polarization VLBI calibration at high frequencies has traditionally been difficult due to poor sensitivity and high antenna instrumental polarization across inhomogeneous networks. The higher observing frequency and increased spatial resolution diminishes the chances of finding ideal VLBI polarization calibrators. The advent of the Very Long Baseline Array (VLBA), which has standardized feeds with low instrumental polarization, has minimized these observational difficulties. Recent work in polarization calibration has suggested that somewhat resolved sources may be used in an iterative polarization calibration scheme (Cotton 1993). A full generalization of this method has been developed by Leppanen, Zensus and Diamond (1995) in calibrating 22 GHz polarization observations with the VLBA.

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Diarra, Abdoullah, Claire Sheldon, and John Church. "In situ calibration and [H+] sensitivity of the fluorescent Na+indicator SBFI." American Journal of Physiology-Cell Physiology 280, no. 6 (June 1, 2001): C1623—C1633. http://dx.doi.org/10.1152/ajpcell.2001.280.6.c1623.

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Despite the popularity of Na+-binding benzofuran isophthalate (SBFI) to measure intracellular free Na+ concentrations ([Na+]i), the in situ calibration techniques described to date do not favor the straightforward determination of all of the constants required by the standard equation (Grynkiewicz G, Poenie M, and Tsien RY. J Biol Chem 260: 3440–3450, 1985) to convert the ratiometric signal into [Na+]. We describe a simple method in which SBFI ratio values obtained during a “full” in situ calibration are fit by a three-parameter hyperbolic equation; the apparent dissociation constant ( K d) of SBFI for Na+ can then be resolved by means of a three-parameter hyperbolic decay equation. We also developed and tested a “one-point” technique for calibrating SBFI ratios in which the ratio value obtained in a neuron at the end of an experiment during exposure to gramicidin D and 10 mM Na+is used as a normalization factor for ratios obtained during the experiment; each normalized ratio is converted to [Na+]i using a modification of the standard equation and parameters obtained from a full calibration. Finally, we extended the characterization of the pH dependence of SBFI in situ. Although the K d of SBFI for Na+ was relatively insensitive to changes in pH in the range 6.8–7.8, acidification resulted in an apparent decrease, and alkalinization in an apparent increase, in [Na+]i values. The magnitudes of the apparent changes in [Na+]ivaried with absolute [Na+]i, and a method was developed for correcting [Na+]i values measured with SBFI for changes in intracellular pH.

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Lumetti, Stefano, Perla Malagò, Dietmar Spitzer, Sigmund Zaruba, and Michael Ortner. "Computationally Efficient Magnetic Position System Calibration." Engineering Proceedings 2, no. 1 (November 14, 2020): 72. http://dx.doi.org/10.3390/ecsa-7-08219.

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Properties such as high resolution, contactless (and thus wear-free) measurement, low power consumption, robustness against temperature and contamination as well as low cost make magnetic position and orientation systems appealing for a large number of industrial applications. Nevertheless, one major practical challenge is their sensitivity to fabrication tolerances. In this work, we propose a novel method for magnetic position system calibration based on the analytical computation of the magnetic field and on the application of an evolutionary optimization algorithm. This scheme enables the calibration of more than 10 degrees of freedom within a few seconds on standard quad-core ×86 processors, and is demonstrated by calibrating a highly cost-efficient 3D-printed 3-axis magnetic joystick.

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Jia, Guanghui, Yi Chen, Zihong Ping, and Teng Fei. "Low frequency absolute calibration of complex sensitivity of vector receivers in free-field." MATEC Web of Conferences 283 (2019): 05003. http://dx.doi.org/10.1051/matecconf/201928305003.

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Three-transducers spherical wave reciprocity method in free-field is demonstrated effectively for absolute calibration of the complex sensitivity of underwater sound pressure gradient of vector receiver in the frequency range 250 Hz to 4 kHz. The regularity of underwater sound pressure gradient distribution in the spherical wave, the theory of three-transducers reciprocity calibration method and the technique of complex moving weighted average (CMWA) are studied and reviewed. The VHS90 vector receiver manufactured by Hangzhou Applied Acoustics Research Institute (HAARI) is calibrated using underwater sound pressure gradient calibration facility in a 50 m×15 m×10 m anechoic tank. To verify the results of measurements, the VHS90 vector receiver is also calibrated using low frequency vector receiver calibration facility and the underwater sound pressure calibration facility. The calibration results and the comparisons with these facilities prove the accuracy of the calibration method and facilities described in this paper. The max deviation of modulus of complex sensitivity is 0.7 dB and max deviation of phase congruency of three channels is 1.6°.

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Blagau, A., I. Dandouras, A. Barthe, S. Brunato, G. Facskó, and V. Constantinescu. "In-flight calibration of the Hot Ion Analyser on board Cluster." Geoscientific Instrumentation, Methods and Data Systems 3, no. 1 (April 23, 2014): 49–58. http://dx.doi.org/10.5194/gi-3-49-2014.

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Abstract. The Hot Ion Analyser (HIA), part of the Cluster Ion Spectrometry experiment, has the objective to measure the three-dimensional velocity distributions of ions. Due to a variety of factors (exposure to radiation, detector fatigue and aging, changes in the operating parameters, etc.), the particles' detection efficiency changes over time, prompting for continuous in-flight calibration. This is achieved by comparing the HIA data with the data provided by the WHISPER (Waves of HIgh frequency and Sounder for Probing of Electron density by Relaxation) experiment on magnetosheath intervals, for the high-sensitivity section of the instrument, or solar wind intervals, for the low-sensitivity section. The paper presents in detail the in-flight calibration methodology, reports on the work carried out for calibrating HIA and discusses plans to extend this activity in order to ensure the instrument's highest data accuracy.

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Jackel, Brian J., Craig Unick, Fokke Creutzberg, Greg Baker, Eric Davis, Eric F. Donovan, Martin Connors, et al. "Auroral meridian scanning photometer calibration using Jupiter." Geoscientific Instrumentation, Methods and Data Systems 5, no. 2 (October 6, 2016): 493–512. http://dx.doi.org/10.5194/gi-5-493-2016.

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Abstract. Observations of astronomical sources provide information that can significantly enhance the utility of auroral data for scientific studies. This report presents results obtained by using Jupiter for field cross calibration of four multispectral auroral meridian scanning photometers during the 2011–2015 Northern Hemisphere winters. Seasonal average optical field-of-view and local orientation estimates are obtained with uncertainties of 0.01 and 0.1°, respectively. Estimates of absolute sensitivity are repeatable to roughly 5 % from one month to the next, while the relative response between different wavelength channels is stable to better than 1 %. Astronomical field calibrations and darkroom calibration differences are on the order of 10 %. Atmospheric variability is the primary source of uncertainty; this may be reduced with complementary data from co-located instruments.

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