论文标题

普朗克中级结果。 lvii。联合Planck LFI和HFI数据处理

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

论文作者

Planck Collaboration, Akrami, Y., Andersen, K. J., Ashdown, M., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Benabed, K., Bernard, J. -P., Bersanelli, M., Bielewicz, P., Bond, J. R., Borrill, J., Burigana, C., Butler, R. C., Calabrese, E., Casaponsa, B., Chiang, H. C., Colombo, L. P. L., Combet, C., Crill, B. P., Cuttaia, F., de Bernardis, P., de Rosa, A., de Zotti, G., Delabrouille, J., Di Valentino, E., Diego, J. M., Doré, O., Douspis, M., Dupac, X., Eriksen, H. K., Fernandez-Cobos, R., Finelli, F., Frailis, M., Fraisse, A. A., Franceschi, E., Frolov, A., Galeotta, S., Galli, S., Ganga, K., Gerbino, M., Ghosh, T., González-Nuevo, J., Górski, K. M., Gruppuso, A., Gudmundsson, J. E., Handley, W., Helou, G., Herranz, D., Hildebrandt, S. R., Hivon, E., Huang, Z., Jaffe, A. H., Jones, W. C., Keihänen, E., Keskitalo, R., Kiiveri, K., Kim, J., Kisner, T. S., Krachmalnicoff, N., Kunz, M., Kurki-Suonio, H., Lasenby, A., Lattanzi, M., Lawrence, C. R., Jeune, M. Le, Levrier, F., Liguori, M., Lilje, P. B., Lilley, M., Lindholm, V., López-Caniego, M., Lubin, P. M., Macías-Pérez, J. F., Maino, D., Mandolesi, N., Marcos-Caballero, A., Maris, M., Martin, P. G., Martínez-González, E., Matarrese, S., Mauri, N., McEwen, J. D., Meinhold, P. R., Mennella, A., Migliaccio, M., Mitra, S., Molinari, D., Montier, L., Morgante, G., Moss, A., Natoli, P., Paoletti, D., Partridge, B., Patanchon, G., Pearson, D., Pearson, T. J., Perrotta, F., Piacentini, F., Polenta, G., Rachen, J. P., Reinecke, M., Remazeilles, M., Renzi, A., Rocha, G., Rosset, C., Roudier, G., Rubiño-Martín, J. A., Ruiz-Granados, B., Salvati, L., Savelainen, M., Scott, D., Sirignano, C., Sirri, G., Spencer, L. D., Suur-Uski, A. -S., Svalheim, T. L., Tauber, J. A., Tavagnacco, D., Tenti, M., Terenzi, L., Thommesen, H., Toffolatti, L., Tomasi, M., Tristram, M., Trombetti, T., Valiviita, J., Van Tent, B., Vielva, P., Villa, F., Vittorio, N., Wandelt, B. D., Wehus, I. K., Zacchei, A., Zonca, A.

论文摘要

我们介绍NPIPE处理管道,该管道使用高性能计算机从Planck低频仪器(LFI)和高频仪器(HFI)的数据中产生校准的频率图和极化。 Npipe代表了以前的Planck分析工作的自然演变,并结合了单独的LFI和HFI分析管道的一些最强大的功能。改进的净效应是在所有角度尺度上都在频率和组件图中的噪声和系统水平较低,以及各种频道之间的内部一致性显着改善。基于NPIPE图,我们提出了通过在所有九个Planck频率上分离的太阳偶极子的第一个估计值。幅度为($ 3366.6 \ pm 2.7 $)$μ$ K,尽管略高于早期估计。从大规模的极化数据中,我们得出了$τ= 0.051 \ pm 0.006 $的光学深度的更新估计值,这在数据和天空切割方面似乎很强大。有600个完整的信号,噪声和系统模拟的全频和检测器图。首先,这些模拟包括对梁卷入的CMB各向异性的全日制处理。 NPIPE地图和仿真的发布伴随着完整的原始和处理的时间订购的数据以及软件,脚本,辅助数据以及参数文件,以进一步改进分析并运行匹配模拟。

We present the NPIPE processing pipeline, which produces calibrated frequency maps in temperature and polarization from data from the Planck Low Frequency Instrument (LFI) and High Frequency Instrument (HFI) using high-performance computers. NPIPE represents a natural evolution of previous Planck analysis efforts, and combines some of the most powerful features of the separate LFI and HFI analysis pipelines. The net effect of the improvements is lower levels of noise and systematics in both frequency and component maps at essentially all angular scales, as well as notably improved internal consistency between the various frequency channels. Based on the NPIPE maps, we present the first estimate of the Solar dipole determined through component separation across all nine Planck frequencies. The amplitude is ($3366.6 \pm 2.7$)$μ$K, consistent with, albeit slightly higher than, earlier estimates. From the large-scale polarization data, we derive an updated estimate of the optical depth of reionization of $τ= 0.051 \pm 0.006$, which appears robust with respect to data and sky cuts. There are 600 complete signal, noise and systematics simulations of the full-frequency and detector-set maps. As a Planck first, these simulations include full time-domain processing of the beam-convolved CMB anisotropies. The release of NPIPE maps and simulations is accompanied with a complete suite of raw and processed time-ordered data and the software, scripts, auxiliary data, and parameter files needed to improve further on the analysis and to run matching simulations.

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