LiteBIRD 偏振数据增益校准需求：基于盲分量分离方法
宇宙学与河外天体物理
2024-11-05 v1
摘要
未来的宇宙微波背景（CMB）实验主要目标是探测原初 模偏振。该信号的微弱性要求对可能偏倚测量的系统效应进行精确控制。在本工作中，我们通过应用盲 Needlet 内部线性组合（NILC）前景去除方法，推导了 LiteBIRD 实验中总体偏振增益的相对校准精度需求（）。我们发现，最小方差技术（如 NILC）受增益校准不确定性的影响小于参数化方法，后者需要对这些仪器效应进行适当的建模。在 CMB 信号相对较强的频率通道（166 GHz 通道，）中获得了最紧的约束，而使用参数化方法时，最严格的要求则在前景主导的通道上。然后，我们将与推导出的需求相对应的增益校准不确定性同时传播到所有频率通道。我们发现， 的估计所受总体影响比 LiteBIRD 的需求预算低近 5 倍。推导需求所采用的程序假设了一个简单的银河系模型。因此，我们通过将与需求相对应的增益校准不确定性注入 LiteBIRD 模拟地图，并假设中等复杂度和高复杂度天空模型，来评估所得结果对更现实场景的鲁棒性。在这种情况下，我们采用了所谓的多团簇 NILC（MC-NILC）前景去除流程，并得出增益校准不确定性对 的影响对于中等复杂度天空模型低于 LiteBIRD 增益系统误差预算。对于高复杂度情况，则需要将需求收紧 1.8 倍。
引用
@article{arxiv.2411.02080,
title = {Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation},
author = {F. Carralot and A. Carones and N. Krachmalnicoff and T. Ghigna and A. Novelli and L. Pagano and F. Piacentini and C. Baccigalupi and D. Adak and A. Anand and J. Aumont and S. Azzoni and M. Ballardini and A. J. Banday and R. B. Barreiro and N. Bartolo and S. Basak and A. Basyrov and M. Bersanelli and M. Bortolami and T. Brinckmann and F. Cacciotti and P. Campeti and E. Carinos and F. J. Casas and K. Cheung and L. Clermont and F. Columbro and G. Conenna and G. Coppi and A. Coppolecchia and F. Cuttaia and P. de Bernardis and M. De Lucia and S. Della Torre and E. Di Giorgi and P. Diego-Palazuelos and T. Essinger-Hileman and E. Ferreira and F. Finelli and C. Franceschet and G. Galloni and M. Galloway and M. Gervasi and R. T. Génova-Santos and S. Giardiello and C. Gimeno-Amo and E. Gjerløw and A. Gruppuso and M. Hazumi and S. Henrot-Versillé and L. T. Hergt and E. Hivon and H. Ishino and B. Jost and K. Kohri and L. Lamagna and C. Leloup and M. Lembo and F. Levrier and A. I. Lonappan and M. López-Caniego and G. Luzzi and J. Macias-Perez and E. Martínez-González and S. Masi and S. Matarrese and T. Matsumura and S. Micheli and M. Monelli and L. Montier and G. Morgante and B. Mot and L. Mousset and Y. Nagano and R. Nagata and T. Namikawa and P. Natoli and I. Obata and A. Occhiuzzi and A. Paiella and D. Paoletti and G. Pascual-Cisneros and G. Patanchon and V. Pavlidou and G. Pisano and G. Polenta and L. Porcelli and G. Puglisi and N. Raffuzzi and M. Remazeilles and J. A. Rubiño-Martín and M. Ruiz-Granda and J. Sanghavi and D. Scott and M. Shiraishi and R. M. Sullivan and Y. Takase and K. Tassis and L. Terenzi and M. Tomasi and M. Tristram and L. Vacher and B. van Tent and P. Vielva and G. Weymann-Despres and E. J. Wollack and M. Zannoni and Y. Zhou},
journal= {arXiv preprint arXiv:2411.02080},
year = {2024}
}
备注
29 pages, 11 figures