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Measurement of the Boltzmann constant by Johnson noise thermometry using a superconducting integrated circuit

机译:利用超导集成电路测量Johnson噪声温度测量的Boltzmann常数

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We report on our measurement of the Boltzmann constant by Johnson noise thermometry (JNT) using an integrated quantum voltage noise source (IQVNS) that is fully implemented with superconducting integrated circuit technology. The IQVNS generates calculable pseudo white noise voltages to calibrate the JNT system. The thermal noise of a sensing resistor placed at the temperature of the triple point of water was measured precisely by the IQVNS-based JNT. We accumulated data of more than 429 200 s in total (over 6 d) and used the Akaike information criterion to estimate the fitting frequency range for the quadratic model to calculate the Boltzmann constant. Upon detailed evaluation of the uncertainty components, the experimentally obtained Boltzmann constant was k = 1.380 6436 x 10(-23) J K-1 with a relative combined uncertainty of 10.22 x 10(-6). The value of k is relatively -3.56 x 10(-6) lower than the CODATA 2014 value
机译:我们使用通过超导集成电路技术完全实现的集成量子电压噪声源(IQVNS)来报告Johnson噪声温度(JNT)的Boltzmann常数的测量。 IQVNS产生可计算的伪白噪声电压以校准JNT系统。 基于IQVNS的JNT精确地测量放置在三重水的温度下的感测电阻的热噪声。 我们总共累计超过429秒的数据(超过6 d),并使用Akaike信息标准来估算二次模型的拟合频率范围来计算Boltzmann常数。 在详细评估不确定性组分时,实验获得的玻璃杆菌恒定是k = 1.3806436×10(-23)J K-1,其相对组合的不确定度为10.22×10(-6)。 K的值比Codata 2014值低相对-3.56 x 10(-6)

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