Directional iDBSCAN to detect cosmic-ray tracks for the CYGNO experiment

被引:2
|
作者
Amaro, F. D. [1 ]
Antonietti, R. [2 ,3 ]
Baracchini, E. [4 ,5 ]
Benussi, L. [6 ]
Bianco, S. [6 ]
Borra, F. [7 ,8 ]
Capoccia, C. [6 ]
Caponero, M. [6 ,9 ]
Cardoso, D. S. [10 ]
Cavoto, G. [7 ,8 ]
Costa, I. A. [2 ,3 ]
D'Imperio, G. [8 ]
Dane, E. [6 ]
Dho, G. [4 ,5 ]
Di Giambattista, F. [4 ,5 ]
Di Marco, E. [8 ]
Iacoangeli, F. [8 ]
Kemp, E. [4 ,11 ]
Lima Junior, H. P. [10 ]
Lopes, G. S. P. [12 ]
Maccarrone, G. [6 ]
Mano, R. D. P. [1 ]
Marcelo Gregorio, R. R. [13 ]
Marques, D. J. G. [4 ,5 ]
Mazzitelli, G. [6 ]
Mclean, A. G. [13 ]
Meloni, P. [2 ,3 ]
Messina, A. [7 ,8 ]
Monteiro, C. M. B. [1 ]
Nobrega, R. A. [12 ]
Pains, I. F. [12 ]
Paoletti, E. [6 ]
Passamonti, L. [6 ]
Petrucci, F. [2 ,3 ]
Piacentini, S. [7 ,8 ]
Piccolo, D. [6 ]
Pierluigi, D. [6 ]
Pinci, D. [8 ]
Prajapati, A. [4 ,5 ]
Renga, F. [8 ]
Roque, R. J. d C. [1 ]
Rosatelli, F. [6 ]
Russo, A. [6 ]
Saviano, G. [6 ,14 ]
Spooner, N. J. C. [13 ]
Tesauro, R. [6 ]
Tomassini, S. [6 ]
Torelli, S. [4 ,5 ]
Tozzi, D. [7 ,8 ]
dos Santos, J. M. F. [1 ]
机构
[1] Univ Coimbra, Dept Phys, LIBPhys, P-3004516 Coimbra, Portugal
[2] Univ Roma TRE, Dipartimento Matemat & Fis, I-00146 Rome, Italy
[3] Ist Nazl Fis Nucl, Sez Roma Tre, I-00146 Rome, Italy
[4] Gran Sasso Sci Inst, I-67100 Laquila, Italy
[5] Ist Nazl Fis Nucl, Lab Nazl Gran Sasso, I-67100 Assergi, Italy
[6] Ist Nazl Fis Nucl, Lab Nazl Frascati, I-00044 Frascati, Italy
[7] Univ Roma Sapienza, Dipartimento Fis, I-00185 Rome, Italy
[8] Ist Nazl Fis Nucl, Sez Roma, I-00185 Rome, Italy
[9] ENEA Ctr Ric Frascati, I-00044 Frascati, Italy
[10] Ctr Brasileiro Pesquisas Fis, BR-22290180 Rio De Janeiro, RJ, Brazil
[11] Univ Estadual Campinas, BR-13083859 Campinas, Brazil
[12] Univ Fed Juiz De Fora, Fac Engn, BR-36036900 Juiz De Fora, Brazil
[13] Univ Sheffield, Dept Phys & Astron, Sheffield S3 7RH, England
[14] Sapienza Univ Roma, Dipartimento Ingn Chim Mat & Ambiente, I-00185 Rome, Italy
基金
欧洲研究理事会;
关键词
image processing; clustering; directionality; DBSCAN; particle physics; gas detectors;
D O I
10.1088/1361-6501/acf402
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The CYGNO experiment aims to study rare events related to the search for low-mass dark matter and solar neutrino events. One of the main components of background comes from cosmic rays that generate long tracks in the detector's images. The interaction of such particles with the gas releases a variable energy profile along its trajectory to form tracks with multiple cores that can be easily reconstructed erroneously by being split into more than one cluster. Thus, this work offers a newly adapted version of the well-known density-based spatial clustering of applications with noise (DBSCAN) algorithm, called iDDBSCAN, which exploits the directional characteristics of the clusters found by the DBSCAN to improve its clustering efficiency when dealing with multi-core tracks. This paper provides a detailed explanation of this algorithm, covering its parameter validation and evaluating its influence when integrated into the experiment's event selection routine. To generate background events, data acquisition was performed with the detector installed in an overground laboratory, leaving it exposed to natural radiation. To produce signals in the energy range of interest for the experiment, a 55Fe radioactive source was used. The achieved results showed that the iDDBSCAN algorithm is capable of improving the background rejection of the experiment, through a more accurate reconstruction of the tracks produced by natural radiation such as cosmic rays, without deteriorating its signal detection efficiency and energy estimation.
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页数:12
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