Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

被引：0

作者：

Aamir, M. ^{[40
]}

Adamov, G. ^{[59
]}

Adams, T. ^{[23
]}

Adloff, C. ^{[18
]}

Afanasiev, S. ^{[66
]}

Agrawal, C. ^{[50
,61
]}

Ahmad, A. ^{[30
,62
]}

Ahmed, H. A. ^{[30
]}

Akbar, S. ^{[30
]}

Akchurin, N. ^{[58
]}

Akgul, B. ^{[64
]}

Akgun, B. ^{[10
]}

Akpinar, R. O. ^{[10
]}

Aktas, E. ^{[31
]}

Al Kadhim, A. ^{[23
]}

Alexakhin, V. ^{[66
]}

Alimena, J. ^{[20
]}

Alison, J. ^{[16
]}

Alpana, A. ^{[50
]}

Alshehri, W. ^{[34
]}

Dominguez, P. Alvarez ^{[17
]}

Alyari, M. ^{[22
]}

Amendola, C. ^{[17
]}

Amir, R. B. ^{[30
]}

Andersen, S. B. ^{[17
]}

Andreev, Y. ^{[66
]}

Antoszczuk, P. D. ^{[17
]}

Aras, U. ^{[10
]}

Ardila, L. ^{[33
]}

Aspell, P. ^{[17
]}

Avila, M. ^{[19
]}

Awad, I. ^{[9
]}

Aydilek, O. ^{[31
]}

Azimi, Z. ^{[2
]}

Pretel, A. Aznar ^{[17
]}

Bach, O. A. ^{[20
]}

Bainbridge, R. ^{[27
]}

Bakshi, A. ^{[22
]}

Bam, B. ^{[3
]}

Banerjee, S. ^{[63
]}

Barney, D. ^{[17
]}

Bayraktar, O. ^{[31
]}

Beaudette, F. ^{[49
]}

Beaujean, F. ^{[49
]}

Becheva, E. ^{[49
]}

Behera, P. K. ^{[28
]}

Belloni, A. ^{[40
]}

Bergauer, T. ^{[26
]}

Besancon, M. ^{[53
]}

机构：

[1] Rhein Westfal TH Aachen, Phys Inst A 3, Aachen, Germany

[2] Cukurova Univ, TR-01250 Adana, Turkiye

[3] Univ Alabama, 500 Univ Blvd East, Tuscaloosa, AL 35401 USA

[4] Natl Tech Univ Athens, 28 Oktovriou,Patis 42, Athens 10682, Greece

[5] Baylor Univ, Waco, TX 76706 USA

[6] Chinese Acad Sci, Inst High Energy Phys, 19B Yuruanlu, Being 100049, Peoples R China

[7] Tsinghua Univ, Beijing 100084, Peoples R China

[8] Univ Bahrain, POB 32038, Zallaq, Bahrain

[9] Lebanese Univ, Museum, 14 Badaro, Beirut, Lebanon

[10] Bogazici Univ, TR-34342 Bebek, Turkiye

[11] Boston Univ, Boston, MA 02215 USA

[12] Univ Bristol, Beacon House,Queens Rd, Bristol BS8 1QU, Avon, England

[13] Brown Univ, 182 Hope St, Providence, RI 02912 USA

[14] Univ Libre Bruxelles, Blvd Triomphe, B-1050 Brussels, Belgium

[15] CALTECH, Pasadena, CA 91125 USA

[16] Carnegie Mellon Univ, 5000 Forbes Ave, Pittsburgh, PA 15213 USA

[17] CERN, Espl Particules 1, CH-1211 Geneva 23, Switzerland

[18] Natl Cent Univ, Chungli, Taiwan

[19] Northern Illinois Univ, 1425 W Lincoln Hwy, De Kalb, IL 60115 USA

[20] Deutsch Elektronen Synchrotron DESY, Notkestr 85, D-22607 Hamburg, Germany

[21] Univ Dundee, Dundee DD1 4HN, Scotland

[22] Fermilab Natl Accelerator Lab, Wilson Rd, Batavia, IL 60510 USA

[23] Florida State Univ, 600 W Coll Ave, Tallahassee, FL 32306 USA

[24] Univ Hamburg, Inst Expt Phys, Luruper Chaussee 149, D-22761 Hamburg, Germany

[25] Univ Helsinki, Gustaf Hallstrominkatu 2, Helsinki 00560, Finland

[26] Inst Hochenergiephys, Nikolsdorfer Gasse 18, A-1050 Vienna, Austria

[27] Imperial Coll, Prince Consort Rd, London SW7 2AZ, England

[28] Indian Inst Technol Madras, Chennai 60036, Tamil Nadu, India

[29] Univ Iowa, 203 Van Allen Hall, Iowa City, IA 52242 USA

[30] Quaid I Azam Univ, Natl Ctr Phys, Islamabad 44000, Pakistan

[31] Istanbul Tech Univ, TR-80625 Istanbul, Turkiye

[32] Kansas State Univ, 116 Cardwell Hall, Manhattan, KS 66506 USA

[33] Karlsruher Inst Technol, Inst Expt Teilchenphys, Wolfgang Gaedestr 1, D-76131 Karlsruhe, Germany

[34] King Abdullah Univ Sci & Technol, Thuwal 239556900, Saudi Arabia

[35] Natl Acad Sci Ukraine, Inst Scintillat Mat, 60 Lenina Ave, UA-61001 Kharkiv, Ukraine

[36] NSC Kharkiv Inst Phys & Technol, 1 Akad St, UA-61108 Kharkiv, Ukraine

[37] HBNI, Saha Inst Nucl Phys, Bidhan Nagar, Kolkata 700064, India

[38] LIP, Ave Prof Gama Pinto 2, P-1649003 Lisbon, Portugal

[39] Univ Malaya, Natl Ctr Particle Phys, Kuala Lumpur 50603, Malaysia

[40] Univ Maryland, College Pk, MD 20742 USA

[41] Univ Milano Bicocca, INFN, Piazza Sci 3, I-20126 Milan, Italy

[42] Univ Minnesota, 116 Church St SE, Minneapolis, MN 55405 USA

[43] MIT, Nucl Sci Lab, 77 Mass Ave, Cambridge, MA 02139 USA

[44] Nanjing Normal Univ, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China

[45] Northwestern Univ, 2145 Sheridan Rd, Evanston, IL 60208 USA

[46] Univ Notre Dame, Notre Dame, IN 46556 USA

[47] Ecole Polytech, Lab OMEGA, CNRS, IN2P3, Route Saclay, F-91128 Palaiseau, France

[48] Univ Montenegro, Cetinjska Br 2, Podgorica 81000, Crna Gora, Montenegro

[49] Ecole Polytech, Lab Leprince Ringuet, CNRS, IN2P3, Route Saclay, F-91128 Palaiseau, France

[50] Indian Inst Sci Educ & Res, Dr Homi Bhabha Rd, Pune 411008, Maharashtra, India

来源：

JOURNAL OF INSTRUMENTATION | 2024年 / 19卷 / 11期

关键词：

Calorimeters; Pattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Si microstrip and pad detectors;

D O I：

10.1088/1748-0221/19/11/P11025

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transverse and longitudinal granularity. The active media are silicon sensors and scintillator tiles readout by SiPMs and the absorbers are a combination of lead and Cu/CuW in the electromagnetic section, and steel in the hadronic section. The shower reconstruction method is based on graph neural networks and it makes use of a dynamic reduction network architecture. It is shown that the algorithm is able to capture and mitigate the main effects that normally hinder the reconstruction of hadronic showers using classical reconstruction methods, by compensating for fluctuations in the multiplicity, energy, and spatial distributions of the shower's constituents. The performance of the algorithm is evaluated using test beam data collected in 2018 prototype of the CMS HGCAL accompanied by a section of the CALICE AHCAL prototype. The capability of the method to mitigate the impact of energy leakage from the calorimeter is also demonstrated.

引用

页数：23

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