Alignment of the CLAS12 central hybrid tracker with a Kalman Filter
Abstract
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~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.
Keywords
Cite
@article{arxiv.2208.05054,
title = {Alignment of the CLAS12 central hybrid tracker with a Kalman Filter},
author = {S. J. Paul and A. Peck and M. Arratia and Y. Gotra and V. Ziegler and R. De Vita and F. Bossu and M. Defurne and H. Atac and C. Ayerbe Gayoso and L. Baashen and N. A. Baltzell and L. Barion and M. Bashkanov and M. Battaglieri and I. Bedlinskiy and B. Benkel and F. Benmokhtar and A. Bianconi and L. Biondo and A. S. Biselli and M. Bondi and S. Boiarinov and K. Th. Brinkmann and W. J. Briscoe and W. K. Brooks and D. Bulumulla and V. D. Burkert and R. Capobianco and D. S. Carman and J. C. Carvajal and P. Chatagnon and V. Chesnokov and T. Chetry and G. Ciullo and P. L. Cole and G. Costantini and A. D Angelo and N. Dashyan and A. Deur and S. Diehl and C. Djalali and R. Dupre and A. El Alaoui and L. El Fassi and L. Elouadrhiri and A. Filippi and K. Gates and G. Gavalian and Y. Ghandilyan and G. P. Gilfoyle and A. A. Golubenko and G. Gosta and R. W. Gothe and K. Griffioen and M. Guidal and H. Hakobyan and M. Hattawy and F. Hauenstein and T. B. Hayward and D. Heddle and A. Hobart and M. Holtrop and Y. Ilieva and D. G. Ireland and E. L. Isupov and H. S. Jo and R. Johnston and K. Joo and D. Keller and M. Khachatryan and A. Khanal and A. Kim and W. Kim and V. Klimenko and A. Kripko and L. Lanza and M. Leali and P. Lenisa and X. Li and I. J. D. MacGregor and D. Marchand and L. Marsicano and V. Mascagna and B. McKinnon and C. McLauchlin and S. Migliorati and T. Mineeva and M. Mirazita and V. Mokeev and C. Munoz Camacho and P. Nadel-Turonski and P. Naidoo and K. Neupane and D. Nguyen and S. Niccolai and M. Nicol and G. Niculescu and M. Osipenko and P. Pandey and M. Paolone and R. Paremuzyan and N. Pilleux and O. Pogorelko and M. Pokhrel and J. Poudel and J. W. Price and Y. Prok and T. Reed and M. Ripani and J. Ritman and F. Sabatie and S. Schadmand and A. Schmidt and E. V. Shirokov and U. Shrestha and P. Simmerling and M. Spreafico and D. Sokhan and N. Sparveris and I. I. Strakovsky and S. Strauch and J. A. Tan and R. Tyson and M. Ungaro and S. Vallarino and L. Venturelli and H. Voskanyan and E. Voutier and D. P. Watts and X. Wei and R. Wishart and M. H. Wood and N. Zachariou},
journal= {arXiv preprint arXiv:2208.05054},
year = {2024}
}