LiteBIRD空间任务扫描策略的多维优化
Multi-dimensional optimisation of the scanning strategy for the LiteBIRD space mission
AI总结：
针对LiteBIRD任务测量CMB原初B模式信号微弱且易受系统效应干扰的问题，研究了扫描策略参数对在轨校准和系统效应抑制的影响，并开发了快速航天器扫描模拟器Falcons以确定最优扫描策略。
摘要：
在无大气环境下进行大角度尺度巡天，对于测量宇宙微波背景（CMB）的原初$B$-模式功率谱至关重要。由于这一拟议的测量信号比CMB的温度各向异性微弱约三到四个数量级，因此仪器的在轨校准与系统效应的主动抑制至关重要。我们研究了改变扫描策略参数对在轨校准有效性、系统效应本身的抑制，以及通过零检验区分系统能力的影响。像LiteBIRD这样由半波片（HWP）调制的下一代任务，将能够使用单一探测器观测偏振，从而无需像以往许多实验那样组合多个探测器来测量偏振，进而避免了由此产生的系统效应。尽管HWP有望抑制许多系统效应，但部分效应仍将残留。我们采用解析方法来全面解决这些系统效应的缓解问题，并在常见航天器扫描参数的多维空间中，确定出对于实施各种校准策略最有效的扫描策略特征。我们还介绍了Falcons，这是我们为研究该扫描参数空间而开发的一款快速航天器扫描模拟器。
英文摘要：
Large angular scale surveys in the absence of atmosphere are essential for measuring the primordial $B$-mode power spectrum of the Cosmic Microwave Background (CMB). Since this proposed measurement is about three to four orders of magnitude fainter than the temperature anisotropies of the CMB, in-flight calibration of the instruments and active suppression of systematic effects are crucial. We investigate the effect of changing the parameters of the scanning strategy on the in-flight calibration effectiveness, the suppression of the systematic effects themselves, and the ability to distinguish systematic effects by null-tests. Next-generation missions such as LiteBIRD, modulated by a Half-Wave Plate (HWP), will be able to observe polarisation using a single detector, eliminating the need to combine several detectors to measure polarisation, as done in many previous experiments and hence avoiding the consequent systematic effects. While the HWP is expected to suppress many systematic effects, some of them will remain. We use an analytical approach to comprehensively address the mitigation of these systematic effects and identify the characteristics of scanning strategies that are the most effective for implementing a variety of calibration strategies in the multi-dimensional space of common spacecraft scan parameters. We also present Falcons, a fast spacecraft scanning simulator that we developed to investigate this scanning parameter space.
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。
