In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications
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DOI:
10.1088/1475-7516/2022/01/039
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发表时间:
2021-11
影响因子:
6.4
通讯作者:
N. Krachmalnicoff;T. Matsumura;E. de la Hoz;S. Basak;A. Gruppuso;Y. Minami;C. Baccigalupi;E. Komatsu;E. Martínez-González;P. Vielva;J. Aumont;R. Aurlien;S. Azzoni;A. Banday;R. B. Barreiro;N. Bartolo;M. Bersanelli;E. Calabrese;A. Carones;F. Casas;K. Cheung;Y. Chinone;F. Columbro;P. De Bernardis;P. Diego-Palazuelos;J. Errard;F. Finelli;U. Fuskeland;M. Galloway;R. Génova-Santos;M. Gerbino;Tommaso Ghigna;S. Giardiello;E. Gjerløw;M. Hazumi;S. Henrot-Versillé;T. Kisner;L. Lamagna;M. Lattanzi;F. Levrier;G. Luzzi;D. Maino;S. Masi;M. Migliaccio;L. Montier;G. Morgante;B. Mot;R. Nagata;F. Nati;P. Natoli;L. Pagano;A. Paiella;D. Paoletti;G. Patanchon;F. Piacentini;G. Polenta;D. Poletti;G. Puglisi;M. Remazeilles;J. Rubiño-Martín;M. Sasaki;M. Shiraishi;G. Signorelli;S. Stever;A. Tartari;M. Tristram;M. Tsuji;L. Vacher;I. Wehus;M. Zannoni
N. Krachmalnicoff;T. Matsumura;E. de la Hoz;S. Basak;A. Gruppuso;Y. Minami;C. Baccigalupi;E. Komatsu;E. Martínez-González;P. Vielva;J. Aumont;R. Aurlien;S. Azzoni;A. Banday;R. B. Barreiro;N. Bartolo;M. Bersanelli;E. Calabrese;A. Carones;F. Casas;K. Cheung;Y. Chinone;F. Columbro;P. De Bernardis;P. Diego-Palazuelos;J. Errard;F. Finelli;U. Fuskeland;M. Galloway;R. Génova-Santos;M. Gerbino;Tommaso Ghigna;S. Giardiello;E. Gjerløw;M. Hazumi;S. Henrot-Versillé;T. Kisner;L. Lamagna;M. Lattanzi;F. Levrier;G. Luzzi;D. Maino;S. Masi;M. Migliaccio;L. Montier;G. Morgante;B. Mot;R. Nagata;F. Nati;P. Natoli;L. Pagano;A. Paiella;D. Paoletti;G. Patanchon;F. Piacentini;G. Polenta;D. Poletti;G. Puglisi;M. Remazeilles;J. Rubiño-Martín;M. Sasaki;M. Shiraishi;G. Signorelli;S. Stever;A. Tartari;M. Tristram;M. Tsuji;L. Vacher;I. Wehus;M. Zannoni
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
N. Krachmalnicoff;T. Matsumura;E. de la Hoz;S. Basak;A. Gruppuso;Y. Minami;C. Baccigalupi;E. Komatsu;E. Martínez-González;P. Vielva;J. Aumont;R. Aurlien;S. Azzoni;A. Banday;R. B. Barreiro;N. Bartolo;M. Bersanelli;E. Calabrese;A. Carones;F. Casas;K. Cheung;Y. Chinone;F. Columbro;P. De Bernardis;P. Diego-Palazuelos;J. Errard;F. Finelli;U. Fuskeland;M. Galloway;R. Génova-Santos;M. Gerbino;Tommaso Ghigna;S. Giardiello;E. Gjerløw;M. Hazumi;S. Henrot-Versillé;T. Kisner;L. Lamagna;M. Lattanzi;F. Levrier;G. Luzzi;D. Maino;S. Masi;M. Migliaccio;L. Montier;G. Morgante;B. Mot;R. Nagata;F. Nati;P. Natoli;L. Pagano;A. Paiella;D. Paoletti;G. Patanchon;F. Piacentini;G. Polenta;D. Poletti;G. Puglisi;M. Remazeilles;J. Rubiño-Martín;M. Sasaki;M. Shiraishi;G. Signorelli;S. Stever;A. Tartari;M. Tristram;M. Tsuji;L. Vacher;I. Wehus;M. Zannoni

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我们提出了一个演示的飞行中的偏振角校准的JAXA/ISAS的第二个战略大类使命,LiteBIRD,并估计其影响的测量的张量-标量比参数,r,使用模拟数据。我们生成一组模拟的天空图与CMB和偏振前景发射,并注入仪器噪声和偏振角偏移的22(部分重叠)LiteBIRD频率通道。我们的飞行中角度校准依赖于使每个通道中偏振信号的EB互相关为零。该校准步骤已经由两个独立的组进行盲分析,允许在角度偏移的估计上达到几弧分的量级的精度。校正的和未校正的多频图都通过前台清理步骤传播,目的是计算干净的CMB图。我们采用两个组件分离算法,贝叶斯分离组件和Resistance估计工具(B-SeCRET),和针内部线性组合(NILC)。我们发现,恢复CMB地图与算法,不作任何假设的前景属性,如NILC,只轻微的角度失调的影响。然而,偏振角偏移强烈的偏差与参数拟合方法得到的结果。一旦在分量分离之前通过EB归零校正了误校准角度,两种分量分离算法都会导致r参数的无偏估计。虽然这项工作的动机是LiteBIRD的概念设计研究,其框架可以广泛应用于任何CMB偏振实验。特别是,模拟加盲分析的组合提供了一个强大的预测,不仅考虑到检测器的灵敏度,但也系统的影响。
We present a demonstration of the in-flight polarization angle calibration for the JAXA/ISAS second strategic large class mission, LiteBIRD, and estimate its impact on the measurement of the tensor-to-scalar ratio parameter, r, using simulated data. We generate a set of simulated sky maps with CMB and polarized foreground emission, and inject instrumental noise and polarization angle offsets to the 22 (partially overlapping) LiteBIRD frequency channels. Our in-flight angle calibration relies on nulling the EB cross correlation of the polarized signal in each channel. This calibration step has been carried out by two independent groups with a blind analysis, allowing an accuracy of the order of a few arc-minutes to be reached on the estimate of the angle offsets. Both the corrected and uncorrected multi-frequency maps are propagated through the foreground cleaning step, with the goal of computing clean CMB maps. We employ two component separation algorithms, the Bayesian-Separation of Components and Residuals Estimate Tool (B-SeCRET), and the Needlet Internal Linear Combination (NILC). We find that the recovered CMB maps obtained with algorithms that do not make any assumptions about the foreground properties, such as NILC, are only mildly affected by the angle miscalibration. However, polarization angle offsets strongly bias results obtained with the parametric fitting method. Once the miscalibration angles are corrected by EB nulling prior to the component separation, both component separation algorithms result in an unbiased estimation of the r parameter. While this work is motivated by the conceptual design study for LiteBIRD, its framework can be broadly applied to any CMB polarization experiment. In particular, the combination of simulation plus blind analysis provides a robust forecast by taking into account not only detector sensitivity but also systematic effects.