CLAS12中央混合动力跟踪器与卡尔曼滤波器的对齐

论文标题

CLAS12中央混合动力跟踪器与卡尔曼滤波器的对齐

Alignment of the CLAS12 central hybrid tracker with a Kalman Filter

论文作者

Paul, S. J., Peck, A., Arratia, M., Gotra, Y., Ziegler, V., De Vita, R., Bossu, F., Defurne, M., Atac, H., Gayoso, C. Ayerbe, Baashen, L., Baltzell, N. A., Barion, L., Bashkanov, M., Battaglieri, M., Bedlinskiy, I., Benkel, B., Benmokhtar, F., Bianconi, A., Biondo, L., Biselli, A. S., Bondi, M., Boiarinov, S., Brinkmann, K. Th., Briscoe, W. J., Brooks, W. K., Bulumulla, D., Burkert, V. D., Capobianco, R., Carman, D. S., Carvajal, J. C., Chatagnon, P., Chesnokov, V., Chetry, T., Ciullo, G., Cole, P. L., Costantini, G., Angelo, A. D, Dashyan, N., Deur, A., Diehl, S., Djalali, C., Dupre, R., Alaoui, A. El, Fassi, L. El, Elouadrhiri, L., Filippi, A., Gates, K., Gavalian, G., Ghandilyan, Y., Gilfoyle, G. P., Golubenko, A. A., Gosta, G., Gothe, R. W., Griffioen, K., Guidal, M., Hakobyan, H., Hattawy, M., Hauenstein, F., Hayward, T. B., Heddle, D., Hobart, A., Holtrop, M., Ilieva, Y., Ireland, D. G., Isupov, E. L., Jo, H. S., Johnston, R., Joo, K., Keller, D., Khachatryan, M., Khanal, A., Kim, A., Kim, W., Klimenko, V., Kripko, A., Lanza, L., Leali, M., Lenisa, P., Li, X., MacGregor, I. J. D., Marchand, D., Marsicano, L., Mascagna, V., McKinnon, B., McLauchlin, C., Migliorati, S., Mineeva, T., Mirazita, M., Mokeev, V., Camacho, C. Munoz, Nadel-Turonski, P., Naidoo, P., Neupane, K., Nguyen, D., Niccolai, S., Nicol, M., Niculescu, G., Osipenko, M., Pandey, P., Paolone, M., Paremuzyan, R., Pilleux, N., Pogorelko, O., Pokhrel, M., Poudel, J., Price, J. W., Prok, Y., Reed, T., Ripani, M., Ritman, J., Sabatie, F., Schadmand, S., Schmidt, A., Shirokov, E. V., Shrestha, U., Simmerling, P., Spreafico, M., Sokhan, D., Sparveris, N., Strakovsky, I. I., Strauch, S., Tan, J. A., Tyson, R., Ungaro, M., Vallarino, S., Venturelli, L., Voskanyan, H., Voutier, E., Watts, D. P., Wei, X., Wishart, R., Wood, M. H., Zachariou, N.

论文摘要

几个因素可能导致难以对齐跟踪探测器的传感器，包括大量模块，多种类型的探测器技术和传感器上的非线性带状图案。所有这三个因素都适用于CLAS12 CVT，该CLAS12 CVT是由带有非平行条带的平面硅传感器组成的杂化探测器，以及位于5〜T超导螺旋杆的纵向和弧形的圆柱形微羊皮传感器。为了使该检测器对齐，我们使用了Kalman对齐算法，该算法解释了对齐参数之间的相关性，而无需耗时倒置大型矩阵。这是该算法首次适用于混合技术，非并行条和弯曲传感器。我们介绍了使用宇宙射线和磁场关闭目标的直轨和来自目标的直接轨道的首次对齐CLAS12 CVT的结果。运行此过程后，我们在10〜 $ $ m的水平上实现了对齐，并且残留光谱的宽度大大降低了。这些结果证明了该算法的灵活性及其在CLAS12 CVT和其他混合或弯曲跟踪器中的适用性，例如为将来的电子离子撞机提出的那些。

Several factors can contribute to the difficulty of aligning the sensors of tracking detectors, including a large number of modules, multiple types of detector technologies, and non-linear strip patterns on the sensors. All three of these factors apply to the CLAS12 CVT, which is a hybrid detector consisting of planar silicon sensors with non-parallel strips, and cylindrical micromegas sensors with longitudinal and arc-shaped strips located within a 5~T superconducting solenoid. To align this detector, we used the Kalman Alignment Algorithm, which accounts for correlations between the alignment parameters without requiring the time-consuming inversion of large matrices. This is the first time that this algorithm has been adapted for use with hybrid technologies, non-parallel strips, and curved sensors. We present the results for the first alignment of the CLAS12 CVT using straight tracks from cosmic rays and from a target with the magnetic field turned off. After running this procedure, we achieved alignment at the level of 10~$μ$m, and the widths of the residual spectra were greatly reduced. These results attest to the flexibility of this algorithm and its applicability to future use in the CLAS12 CVT and other hybrid or curved trackers, such as those proposed for the future Electron-Ion Collider.

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