低温传感器读出多音信号的波峰因子优化

L. H. Arnaldi
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引用次数: 0

摘要

微波动力学电感探测器(MKID)是一种新兴的低温探测器技术,在射电天文学和宇宙微波背景(CMB)表征方面具有巨大的潜力。综述了低温探测器大阵列(~ 10,000像素)多路复用实验的读出性能要求。重点是对这些大型探测器阵列的适当激励和读出的波峰因子优化过程。给出了一种优化载波相位产生的算法,以获得低波峰因子,有利于电子链的动态范围使用。
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Crest factor optimization of multi-tone signals generated for low-temperature sensor readout
Microwave kinetic inductance detectors (MKID) are a growing technology of cryogenic detectors and have a great potential in radio-astronomy and cosmic microwave background (CMB) characterization. A review of the general readout performance requirements for experiments requiring the multiplexing of large arrays (~10.000 pixels) of such cryogenic detectors is presented. The focus is on the crest factor optimization process for proper excitation and readout of these large arrays of detectors. It is shown an algorithm to optimize the phase generation of the carriers to obtain a low crest factor, favoring the dynamic range usage of the electronic chain.
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