GEO600分束器热补偿系统：新设计与调试运行
GEO600 beam splitter thermal compensation system: new design and commissioning
AI总结：
本文针对GEO600分束器因功率循环腔高功率积累和极小束腰导致的热透镜效应，设计并调试了新型空间可调谐热补偿系统，以抵消热透镜、恢复探测器理想工作状态，并分析了其对应变灵敏度的改善效果及后续升级计划。
摘要：
引力波通过为科学家提供一种观测宇宙并更好理解黑洞等奇异天体的新方式，已经彻底改变了天文学领域。世界各地已建造了多台大型激光干涉引力波探测器（GWD），其重点是尽可能实现最佳灵敏度。然而，为了使探测器能够在其设计灵敏度下运行，其光学元件必须避免热透镜效应等缺陷。在GEO 600引力波探测器中，由于功率循环腔（PRC）内的高功率积累以及极小的束腰，分束器（BS）会经历显著的热透镜效应。这会导致基模被转换为高阶模（HOMs），进而影响探测器的性能。为解决这一问题，GEO 600探测器配备了应用于分束器的热补偿系统（TCS）。该系统通过一套光学系统将空间可调谐的加热图案投射到分束器上。TCS的主要目标是抵消分束器处的热透镜效应，使探测器恢复到理想的工作状态。本文介绍了GEO 600中新的分束器TCS、其调试运行过程以及对应变灵敏度的影响，并概述了为进一步提升TCS性能而计划进行的升级。
英文摘要：
Gravitational waves have revolutionised the field of astronomy by providing scientists with a new way to observe the universe and gain a better understanding of exotic objects like black holes. Several large-scale laser interferometric gravitational wave detectors (GWDs) have been constructed worldwide, with a focus on achieving the best sensitivity possible. However, in order for a detector to operate at its intended sensitivity, its optics must be free from imperfections such as thermal lensing effects. In the GEO\,600 gravitational wave detector, the beam splitter (BS) experiences a significant thermal lensing effect due to the high power build-up in the Power Recycling Cavity (PRC) combined with a very small beam waist. This causes the fundamental mode to be converted into higher order modes (HOMs), subsequently impacting the detector's performance. To address this issue, the GEO\,600 detector is equipped with a thermal compensation system (TCS) applied to the BS. This involves projecting a spatially tunable heating pattern through an optical system onto the beam splitter. The main objective of the TCS is to counteract the thermal lens at the BS and restore the detector to its ideal operating condition. This paper presents the new beam splitter TCS in GEO\,600, its commissioning, and its effect on strain sensitivity. It also outlines the planned upgrade to further enhance the performance of the TCS.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
