Comparison of temperature measurement by noise thermometry and radiation thermometry

Neuer, G.; Fischer, Joachim; Edler, Frank; Thomas, R.

doi:10.1016/s0263-2241(01)00006-9

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…Because the gain and bandwidth of the noise thermometer can be difficult to quanti fy precisely, it is usual to make two measurements, one with a resistor at the unknown temperature, and another with a reference noise source. Usually the reference noise source is a resistor at a known temperature as in figure 1, but shot noise from diodes [36,37], multi-resistor and thermistor networks [38,39], and synthetic noise sources [40,41] have also been used. The temper ature T is calculated from the ratio of the measured noise powers, which is ideally independent of the amplifier gain and bandwidth:…”

Section: Basic Measurement Principlesmentioning

confidence: 99%

“…The dithering effect of the noise significantly attenuates the effects of ADC non-linearities so that quantization effects are practically zero, and the effects of non-linearity are substantially reduced. Brixy et al demonstrated total uncertainties of 0.002% in measurements of the freezing point of zinc [63], and Edler et al, using one of Brixy's thermometers, measured thermodynamic temperatures of the freezing points of indium (~156 °C), gold (~1064 °C), copper (~1085 °C) and palladium (~1555 °C) [38,[74][75][76].…”

Section: The Switched Cross-correlatormentioning

confidence: 99%

“…Spietz et al also describe several of the major sources of error and means by which accuracies of better than 0.1% might be readily achieved. Later measurements by Spietz et al [130] demonstrated the need to consider the photon energies, (38), when measuring near 10 mK. Sayer et al [132] investigated the effects of departures of the current noise from the simple shot noise model including 1/f noise and non-Poisson shot noise.…”

Section: Shot Noise Thermometermentioning

confidence: 99%

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Johnson noise thermometry

Benz

Rogalla

et al. 2019

Meas. Sci. Technol.

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Johnson noise thermometers infer thermodynamic temperature from measurements of the thermally-induced current fluctuations that occur in all electrical conductors. This paper reviews the status of Johnson noise thermometry and its prospects for both metrological measurements and for practical applications in industry. The review begins with a brief description of the foundations and principles of Johnson noise thermometry before outlining the many different techniques and technological breakthroughs that have enabled the application of Johnson noise thermometry to high-accuracy, cryogenic, and industrial thermometry. Finally, the future of noise thermometry is considered. As the only purely electronic approach to thermodynamic temperature measurement, Johnson noise thermometry has appeal for metrological applications at temperatures ranging from below 1 mK up to 800 K. With the rapid advances in digital technologies, there are also expectations that noise thermometry will become a practical option for some industrial applications, perhaps reaching temperatures above 2000 K.

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Section: Basic Measurement Principlesmentioning

confidence: 99%

Section: The Switched Cross-correlatormentioning

confidence: 99%

Section: Shot Noise Thermometermentioning

confidence: 99%

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Johnson noise thermometry

Benz

Rogalla

et al. 2019

Meas. Sci. Technol.

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“…Due to the shortcomings of thermocouple and other contact temperature measurement, such as slow dynamic response, interference with combustion field, narrow temperature measurement range, only point measurement, hightemperature oxidation, etc., it is not suitable for cutting-edge combustion chambers under high temperature, high pressure, and high-speed conditions (Yang et al, 2015;Jenkins et al, 2020;Zhang et al, 2016;Lian et al, 2017). In recent years, the flame temperature distribution reconstruction technology based on radiation images has received extensive attention from researchers all over the world (Neuer et al, 2001;Sun et al, 2018;Qi et al, 2019;Zhao et al, 2017;Hossain et al, 2013;Niu et al, 2015). It has the advantages of non-invasiveness and no need for external excitation sources and is more suitable for the measurement of the exit temperature distribution of the combustion chamber of aero engines.…”

Section: Introductionmentioning

confidence: 99%

A Fast Tomographic Reconstruction Method for Flame Temperature Distribution Measurement Based on Direct Solution Algorithm

Zhang

Peng

et al. 2021

Front. Energy Res.

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The rapid and accurate measurement of the flame temperature distribution is of great significance to the structural design and health diagnosis of the engine. Aiming at the low reconstruction efficiency of traditional flame temperature distribution reconstruction algorithms, a Direct Solution algorithm for flame temperature distribution reconstruction is proposed in this paper based on the structural characteristics of the reconstruction equations. By setting several numerical cases, the performance of the Direct Solution algorithm and some commonly used traditional algorithms, such as Simultaneous Algebraic Reconstruction Technique (SART), Least Squares QR-factorization (LSQR) algorithm, Non-Negative Least Squares QR-factorization (NNLS) algorithm, is compared in the reconstruction of the flame temperature distribution. The results show that the efficiency of the Direct Solution method is 169.4, 7.4, and 3483.3 times higher than that of the SART, LSQR, and NNLS algorithms under the condition of 40 × 40 grids. In addition, with the increase of the number of grids, the growth rate of the reconstruction time of the Direct Solution algorithm is much lower than that of other algorithms. The overall reconstruction accuracy of the Direct Solution algorithm is better than that of SART and LSQR algorithms. This shows that it has an excellent comprehensive performance and has a great application prospect in the rapid reconstruction of the temperature distribution.

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“…Power spectral analysis tests demonstrated that the singlefrequency EMI was possibly decreased to an extremely low level, 0.3 mK, by applying the cross correlation, a vigorous EMI shield, high performance filters of an appropriate measurement bandwidth, extreme low noise preamplifiers of sufficiently high common mode rejection ratio and a proper grounding for the electronic parts [1][2][3][4][5]. Nevertheless, White and Mason [6] observed these procedures to be ineffective for the interference of broadband EMI.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the imperfection effect of correlation on Johnson noise thermometry

Zhang¹,

Xue²

2008

Metrologia

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Johnson noise thermometry comes with many imperfection effects that arise primarily from electromagnetic interference, the non-linearity of the electronic system, the transmission line error, etc. Current Johnson noise thermometers (JNTs) operate according to the principle of correlation by which interference noises would be rejected completely. Unfortunately, correlators of JNTs are observed to perform imperfectly in the elimination of these imperfection effects. This paper presents the direct imperfection effect measurements of the JNT of the National Institute of Metrology at the melting point of gallium. The result of these measurements implied that the imperfection effect of correlation acted as an equivalent input noise equally distributed on both probes of the JNT. A relation was derived in this paper to treat this equivalent input noise as a systematic error to Johnson noise thermometry. As a result, the systematic error arising from the measured imperfection effect was corrected from the measured thermodynamic temperature of the melting point of gallium.

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Comparison of temperature measurement by noise thermometry and radiation thermometry

Cited by 10 publications

References 3 publications

Johnson noise thermometry

Johnson noise thermometry

A Fast Tomographic Reconstruction Method for Flame Temperature Distribution Measurement Based on Direct Solution Algorithm

Investigation of the imperfection effect of correlation on Johnson noise thermometry

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