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QUBIC TES数据流水线中的通量跳变校正

Flux jump correction in the QUBIC TES data pipeline

Belen Costanza, Lucas Merlo Azzolina, Claudia G. Scoccola, Nahuel Miron Granese, Elia Battistelli, Jean-Christophe Hamilton, Michel Piat, Damien Prele, Steve Torchinsky, Ismail Bekkaoui, Alessandro Coppolecchia, Paolo De Bernardis, Sofia Ferazzoli, Massimo Gervasi, Luca Gomez, Sabrina Marwede, Silvia Masi, Youssef Moulane, Alessandro Paiella, Mathias Regnier, Gustavo Romero, Federico Sanchez, Ivan Queirolo

arXiv 2609.00249首次发表:更新:

发表机构

Facultad de Ciencias Astronómicas y Geofísicas, Universidad Nacional de La Plata; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Universidad de Chile; Departamento de Física, FCFM, Universidad de Chile; Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales; Sapienza Universitá di Roma, Dipartimento di Fisica(拉普拉塔国立大学天体物理与地球物理学院; 国家科学研究委员会; 智利大学; 智利大学理学院物理系; 布宜诺斯艾利斯大学理学院; 罗马智慧大学物理系)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究针对QUBIC仪器TES探测器数据中的通量跳变问题,提出自动校正流水线,成功恢复受影响数据以用于后续CMB分析。

AI 中文摘要

与超导量子干涉器件(SQUID)耦合的过渡边缘传感器(TES)探测器的读出电子设备中会发生通量跳变,这是超导状态下SQUID周期性传递函数导致的结果。这些事件表现为时间序数据(TOD)中的不连续性,会显著降低测量信号的质量。本研究中,我们提出了一种自动流水线,用于识别和校正QUBIC(宇宙学Q与U bolometric干涉仪,Q & U Bolometric Interferometer for Cosmology)仪器校准数据中的通量跳变,该仪器旨在测量宇宙微波背景(CMB)的B模式偏振。我们利用多个观测 campaign 的数据,表征了通量跳变的统计特性,并将其与基于仪器电子配置的预期进行比较。所提出的流水线成功校正了这些事件,使受影响的数据得以恢复,并可用于后续的CMB分析。

英文摘要

Flux jumps occur in the readout electronics of Transition Edge Sensor (TES) detectors coupled to Superconducting Quantum Interference Devices (SQUIDs), as a consequence of the periodic transfer function of SQUIDs in the superconducting regime. These events manifest as discontinuities in the Time Ordered Data (TOD) and can significantly degrade the quality of the measured signals. In this work, we present an automated pipeline to identify and correct flux jumps in the calibration data of the QUBIC (Q \& U Bolometric Interferometer for Cosmology) instrument, designed to measure the B-mode polarization of the Cosmic Microwave Background (CMB). Using data from multiple observation campaigns, we characterize the statistical properties of flux jumps and compare them with expectations based on the electronic configuration of the instrument. The proposed pipeline successfully corrects these events, allowing the recovery of affected data and enabling their use in subsequent CMB analysis.

论文原文

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