Planck 2013 results. X. HFI energetic particle effects: characterization, removal, and simulation
Planck 2013 results. X. HFI energetic particle effects: characterization, removal, and simulation
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普朗克 2013 年结果。
DOI：
10.1051/0004-6361/201321577
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发表时间：
2013
影响因子：
6.5
通讯作者：
A. Zonca
中科院分区：
文献类型：
--
作者：
P. Ade;N. Aghanim;C. Armitage;M. Arnaud;M. Ashdown;F. Atrio;J. Aumont;C. Baccigalupi;A. Banday;R. B. Barreiro;E. Battaner;K. Benabed;A. Benoit;A. Benoit;J. Bernard;M. Bersanelli;P. Bielewicz;J. Bobin;J. Bock;J. Bond;J. Borrill;F. Bouchet;M. Bridges;M. Bucher;C. Burigana;J. Cardoso;A. Catalano;A. Challinor;A. Chamballu;L. Chiang;H. Chiang;P. Christensen;S. Church;D. Clements;S. Colombi;L. Colombo;F. Couchot;A. Coulais;B. Crill;A. Curto;F. Cuttaia;L. Danese;R. Davies;P. Bernardis;A. Rosa;G. Zotti;J. Delabrouille;J. Delouis;F. D'esert;J. Diego;H. Dole;S. Donzelli;O. Dor'e;M. Douspis;X. Dupac;G. Efstathiou;T. Ensslin;H. Eriksen;F. Finelli;O. Forni;M. Frailis;E. Franceschi;S. Galeotta;K. Ganga;M. Giard;D. Girard;Y. Giraud;J. Gonz'alez;K. M. G'orski;S. Gratton;A. Gregorio;A. Gruppuso;F. Hansen;D. Hanson;D. Harrison;S. Henrot;C. Hern'andez;D. Herranz;S. Hildebrandt;E. Hivon;M. Hobson;W. Holmes;A. Hornstrup;W. Hovest;K. Huffenberger;T. Jaffe;A. Jaffe;W. Jones;M. Juvela;E. Keihanen;R. Keskitalo;T. Kisner;R. Kneissl;J. Knoche;L. Knox;M. Kunz;H. Kurki;G. Lagache;J. Lamarre;A. Lasenby;R. Laureijs;C. Lawrence;R. Leonardi;C. Leroy;J. Lesgourgues;M. Liguori;P. Lilje;M. Linden;M. L'opez;P. Lubin;J. Mac'ias;N. Mandolesi;M. Maris;D. Marshall;P. Martin;E. Mart'inez;S. Masi;S. Matarrese;F. Matthai;P. Mazzotta;P. McGehee;A. Melchiorri;L. Mendes;A. Mennella;M. Migliaccio;A. Miniussi;S. Mitra;M. Miville;A. Moneti;L. Montier;G. Morgante;D. Mortlock;S. Mottet;D. Munshi;J. Murphy;P. Naselsky;F. Nati;P. Natoli;C. Netterfield;H. Nørgaard;F. Noviello;D. Novikov;I. Novikov;S. Osborne;C. A. Oxborrow;F. Paci;L. Pagano;F. Pajot;D. Paoletti;F. Pasian;G. Patanchon;O. Perdereau;L. Perotto;F. Perrotta;F. Piacentini;M. Piat;E. Pierpaoli;D. Pietrobon;S. Plaszczynski;E. Pointecouteau;G. Polenta;N. Ponthieu;L. Popa;T. Poutanen;G. Pratt;G. Pr'ezeau;S. Prunet;J. Puget;J. Rachen;B. Racine;M. Reinecke;M. Remazeilles;C. Renault;S. Ricciardi;T. Riller;I. Ristorcelli;G. Rocha;C. Rosset;G. Roudier;B. Rusholme;L. Sanselme;D. Santos;A. Sauv'e;G. Savini;E. Shellard;L. Spencer;J. Starck;V. Stolyarov;R. Stompor;R. Sudiwala;F. Sureau;D. Sutton;A.;J. Sygnet;J. Tauber;D. Tavagnacco;L. Terenzi;L. Toffolatti;M. Tomasi;M. Tristram;M. Tucci;G. Umana;L. Valenziano;J. Valiviita;B. Tent;P. Vielva;F. Villa;N. Vittorio;L. Wade;B. Wandelt;D. Yvon;A. Zacchei;A. Zonca
本文介绍了普朗克高频仪器（HFI）对高能粒子相互作用信号的探测、解释和消除。这些相互作用分为两类，加热0.1 K测辐射热计板和每个探测器时间流中的毛刺。毛刺形状不是简单的单极指数衰减，而是分为三个家族。每个系列的毛刺形状已在飞行数据中根据经验进行了表征，并从探测器时间流中删除。计算每个族的计数率/单位能量的谱，并对应于粒子撞击探测器的位置。大多数检测到的毛刺是从银河质子入射到硅模具框架支持微机械测辐射热探测器。在高通量电离层，粒子通量约为每秒每平方厘米5个，主要是入射到航天器上的能量大于39兆电子伏的质子，导致通常每秒每个探测器一个事件的速率。不同类别的毛刺在时间流中具有不同的特征。其中两种毛刺类型具有在近1秒内衰减的低幅度分量。如果没有从时间排序的数据中适当地去除，则该分量产生过量的噪声。我们使用了一个毛刺检测和减法的基础上人口模板的联合拟合方法。这种新的毛刺去除方法的应用程序去除毛刺多余的噪声。使用现实的模拟，我们发现这种方法不会引入信号偏置。
This paper presents the detection, interpretation and removal of the signal resulting from interactions of high energy particles with the Planck High Frequency Instrument (HFI). These interactions fall into two categories, heating the 0.1 K bolometer plate and glitches in each detector time stream. Glitch shapes are not simple single pole exponential decays and fall into a three families. The glitch shape for each family has been characterized empirically in flight data and removed from the detector time streams. The spectrum of the count rate/unit energy is computed for each family and a correspondence to where on the detector the particle hit is made. Most of the detected glitches are from galactic protons incident on the Si die frame supporting the micromachined bolometric detectors. At HFI, the particle flux is ~ 5 per square cm and per second and is dominated by protons incident on the spacecraft with an energy >39 MeV, leading to a rate of typically one event per second and per detector. Different categories of glitches have different signature in timestreams. Two of the glitch types have a low amplitude component that decays over nearly 1 second. This component produces an excess noise if not properly removed from the time ordered data. We have used a glitch detection and subtraction method based on the joint fit of population templates. The application of this novel glitch removal method removes excess noise from glitches. Using realistic simulations, we find this method does not introduce signal bias.
辐射热偏振测量的仪器和分析方法
影响因子：
6.5
作者：
Jones W
通讯作者：
Jones W