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Title Alignment of the CLAS12 central hybrid tracker with a Kalman Filter
Authors Sebouh Paul, Alec Peck, Miguel Arratia Munoz, Yuri Gotra, Veronique Ziegler, Raffaella De Vita, Francesco Bossu, Maxime Defurne, Hamza Atac, Carlos Ayerbe Gayoso, Lamya Baashen, Nathan Baltzell, Luca Barion, Mikhail Bashkanov, Marco Battaglieri, Ivan Bedlinskiy, Bruno Benkel, Fatiha Benmokhtar, Andrea Bianconi, Letterio Biondo, Angela Biselli, Mariangela Bondi, Sergey Boyarinov, Kai-Thomas Brinkmann, William Briscoe, William Brooks, Dilini Bulumulla, Volker Burkert, Richard Capobianco, Daniel Carman, Jose Carvajal, Pierre Chatagnon, Vitaly Chesnokov, Taya Chetry, GIUSEPPE CIULLO, Philip Cole, Giovanni Costantini, Annalisa D'Angelo, Natalya Dashyan, Alexandre Deur, Stefan Diehl, Chaden Djalali, Raphael Dupre, Ahmed El Alaoui, Lamiaa El Fassi, Latifa Elouadrhiri, Alessandra Filippi, Kayleigh Gates, Gagik Gavalian, Yeranuhi Ghandilyan, Gerard Gilfoyle, Anna Golubenko, Giulia Gosta, Ralf Gothe, Keith Griffioen, Michel Guidal, Hayk Hakobyan, Mohammad Hattawy, Florian Hauenstein, Timothy Hayward, David Heddle, Adam Hobart, Maurik Holtrop, Yordanka Ilieva, David Ireland, Evgeny Isupov, Hyon-Suk Jo, Robert Johnston, Kyungseon Joo, Dustin Keller, Mariana Khachatryan, Achyut Khanal, Andrey Kim, Wooyoung Kim, Valerii Klimenko, Aron Kripko, Lucilla Lanza, Marco Leali, Paolo Lenisa, Xiaqing Li, Ian MacGregor, Dominique Marchand, Luca Marsicano, Valerio Mascagna, Bryan McKinnon, Christopher McLauchlin, Stefano Migliorati, Taisiya Mineeva, Marco Mirazita, Viktor Mokeev, Carlos Munoz Camacho, Pawel Nadel-Turonski, Paul Naidoo, Krishna Neupane, Dien Nguyen, Silvia Niccolai, Matthew Nicol, Gabriel Niculescu, Mikhail Osipenko, Pushpa Pandey, Michael Paolone, Rafayel Paremuzyan, Noémie Pilleux, Oleg Pogorelko, MADHUSUDHAN Pokhrel, Jiwan Poudel, J. Price, Yelena Prok, Trevor Reed, Marco Ripani, James Ritman, Franck Sabatie, Susan Schadmand, Axel Schmidt, Evgeny Shirokov, Utsav Shrestha, Paul Simmerling, Marco Spreafico, Daria Sokhan, Nikolaos Sparveris, Igor Strakovsky, Steffen Strauch, Joshua Artem Tan, Richard Tyson, Maurizio Ungaro, Simone Vallarino, Luca Venturelli, Hakob Voskanyan, Eric Voutier, Daniel Watts, Xiangdong Wei, Robert Wishart, Micheal Wood, Nicholas Zachariou
JLAB number JLAB-PHY-22-3689
LANL number arXiv:2208.05054
Other number DOE/OR/23177-5568
Document Type(s) (Journal Article) 
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
 

Journal
Compiled for Nuclear Instruments & Methods in Physics Research, Section A
Volume 1049
Page(s) 168032
Refereed
Publication 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 µm, 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.
Experiment Numbers:
Group: Hall B
Document: pdf
DOI: https://doi.org/10.1016/j.nima.2023.168032
Accepted Manuscript:
Supporting Documents:
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