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

机译:在Atacama宇宙望远镜上对TES辐射热计的千像素阵列进行自动SQUID调整程序

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The Atacama Cosmology Telescope observes the Cosmic Microwave Background with arcminute resolution from the Atacama desert in Chile. For the first observing season one array of 32 × 32 Transition Edge Sensor (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 in MBAC. The three bolometer arrays are each coupled to a time-domain multiplexer developed at the National Institute of Standard and Technology, Boulder, which comprises three stages of superconducting quantum interference devices (SQUIDs). The arrays and multiplexers are read-out and controlled by the Multi Channel Electronics (MCE) developed at the University of British Columbia, Vancouver.rnA number of experiments plan to use the MCE as read-out electronics and thus the procedure for tuning the three stage SQUID system is of general interest. Here we describe the automated array tuning procedures and algorithms we have developed. During array tuning, the SQUIDs are biased near their critical currents. SQUID feedback currents and lock points are selected to maximize linearity, dynamic range, and gain of the SQUID response curves. Our automatic array characterization optimizes the tuning of all three stages of SQUIDs by selecting over 1100 parameters per array during the first observing season and over 2100 parameters during the second observing season. We discuss the timing, performance, and reliability of this array tuning procedure as well as planned and recently implemented improvements.
机译:阿塔卡马宇宙望远镜从智利的阿塔卡马沙漠观察到的弧光分辨率为宇宙微波背景。在第一个观测季节,主要的ACT接收器即毫米波阵列相机(MBAC)中安装了32个32×32过渡边缘传感器(TES)辐射热计阵列。在下一个季节,将在MBAC中安装三个独立的阵列,分别工作在145、220和280 GHz。这三个辐射热测量计阵列分别耦合到Boulder国家标准技术研究院开发的时域多路复用器,该多路复用器包括三级超导量子干扰设备(SQUID)。阵列和多路复用器由温哥华不列颠哥伦比亚大学开发的多通道电子设备(MCE)进行读取和控制。rn许多实验计划将MCE用作读取电子设备,从而调整这三个阵列。阶段SQUID系统引起了广泛关注。在这里,我们描述了我们开发的自动阵列调整程序和算法。在阵列调谐期间,SQUID的偏置电流接近其临界电流。选择SQUID反馈电流和锁定点以最大化线性,动态范围和SQUID响应曲线的增益。通过在第一个观测季节为每个阵列选择1100多个参数,在第二个观测季节选择2100多个参数,我们的自动阵列特性优化了SQUID的所有三个阶段的优化。我们将讨论此阵列调整过程的时序,性能和可靠性,以及计划中和最近实施的改进。

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