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Automated SQUID tuning procedure for kilo-pixel arrays of TES bolometers on the Atacama Cosmology Telescope

机译:Atacama宇宙望远镜上的TES电荷仪千柱阵列的自动鱿鱼调谐程序

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The Atacama Cosmology Telescope observes the Cosmic Microwave Background with arcminute resolutionfrom the Atacama desert in Chile. For the first observing season one array of 32 x 32 Transition EdgeSensor (TES) bolometers was installed in the primary ACT receiver, the Millimeter Bolometer Array Camera(MBAC). In the next season, three independent arrays working at 145, 220 and 280 GHz will be installed inMBAC. The three bolometer arrays are each coupled to a time-domain multiplexer developed at the NationalInstitute of Standard and Technology, Boulder, which comprises three stages of superconducting quantuminterference devices (SQUIDs). The arrays and multiplexers are read-out and controlled by the Multi ChannelElectronics (MCE) developed at the University of British Columbia, Vancouver. A number of experiments plan to use the MCE as read-out electronics and thus the procedure for tuning thethree stage SQUID system is of general interest. Here we describe the automated array tuning procedures andalgorithms we have developed. During array tuning, the SQUIDs are biased near their critical currents. SQUIDfeedback currents and lock points are selected to maximize linearity, dynamic range, and gain of the SQUIDresponse curves. Our automatic array characterization optimizes the tuning of all three stages of SQUIDs byselecting over 1100 parameters per array during the first observing season and over 2100 parameters during thesecond observing season. We discuss the timing, performance, and reliability of this array tuning procedureas well as planned and recently implemented improvements.
机译:Atacama宇宙学望远镜在智利阿塔卡马沙漠的ArcMinute Restautions附近观察宇宙微波背景。对于第一个观察季节,一个阵列32×32过渡EDUSENSOR(TES)钻孔器安装在主要的ACT PORTIVER中,毫米电压计阵列相机(MBAC)。在下一个赛季,三个独立的阵列在145,220和280 GHz上运行。三个钻头阵列各自耦合到在国家标准和技术研究所开发的时域多路复用器,巨石机包括三个超导量子干扰装置(鱿鱼)。阵列和多路复用器被读出并由在不列颠哥伦比亚省大学温哥华开发的多通道电子设备(MCE)控制。许多实验计划使用MCE作为读出电子器件,因此调整Thethree Stage Squid系统的程序是一般的兴趣。在这里,我们描述了我们开发的自动化阵列调整过程。在阵列调谐期间,鱿鱼靠近其关键电流。选择SquidBack电流和锁定点以最大化线性,动态范围和SquridResponse曲线的增益。我们的自动阵列表征优化了在第一个观察季节期间每阵列超过1100个参数的所有三个阶段的调整,并且在第一个观察季节中超过2100个参数。我们讨论此阵列调谐程序的定时,性能和可靠性,如计划,最近实施的改进。

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