Gamma/hadron separation with the HAWC observatory
Gamma/hadron separation with the HAWC observatory
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DOI：
10.1016/j.nima.2022.166984
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发表时间：
2022-05
期刊：
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通讯作者：
R. Alfaro;C. Álvarez;J. Álvarez;J. Camacho;J. C. Arteaga-Velázquez;D. Rojas;H. Solares;R. Babu;E. Belmont-Moreno;C. Brisbois;K. Caballero-Mora;T. Capistr'an;A. Carramiñana;S. Casanova;O. Chaparro-Amaro;U. Cotti;J. Cotzomi;S. C. D. Le'on;E. D. L. Fuente;C. Le'on;R. Hernández;B. Dingus;M. DuVernois;M. Durocher;J. C. Díaz-Vélez;R. Ellsworth;K. Engel;C. Espinoza;K. Fan;M. F. Alonso;N. Fraija;D. García;J. García-González;F. Garfias;M. González;J. Goodman;J. P. Harding;S. Hernández;B. Hona;D. Huang;F. Hueyotl-Zahuantitla;P. Hüntemeyer;A. Iriarte;A. Jardin-Blicq;V. Joshi;S. Kaufmann;G. Kunde;A. Lara;W.H. Lee;J. Lee;H. L. Vargas;J. Linnemann;G. Luis-Raya;J. Lundeen;K. Malone;V. Marandon;O. Martinez;J. Mart'inez-Castro;J. Matthews;P. Miranda-Romagnoli;J. Morales-Soto;A. Nayerhoda;L. Nellen;M. Nisa;R. Noriega-Papaqui;L. Olivera-Nieto;N. Omodei;A. Peisker;Y. Araujo;E. Pérez-Pérez-E.-Pérez-Pérez-1431205495;C. Rho;D. Rosa-Gonz'alez;E. Ruiz-Velasco;H. Salazar;F. Greus;A. Sandoval;P. Parkinson;J. Serna-Franco;A.J. Smith;R. Springer;O. Tibolla;K. Tollefson;I. Torres;R. Torres-Escobedo;R. Turner;F. Ureña-Mena;L. Villaseñor;X. Wang;I. Watson;F. Werner;E. Willox;J. Wood;A. Zepeda;H. Zhou
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文献类型：
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作者：
R. Alfaro;C. Álvarez;J. Álvarez;J. Camacho;J. C. Arteaga-Velázquez;D. Rojas;H. Solares;R. Babu;E. Belmont-Moreno;C. Brisbois;K. Caballero-Mora;T. Capistr'an;A. Carramiñana;S. Casanova;O. Chaparro-Amaro;U. Cotti;J. Cotzomi;S. C. D. Le'on;E. D. L. Fuente;C. Le'on;R. Hernández;B. Dingus;M. DuVernois;M. Durocher;J. C. Díaz-Vélez;R. Ellsworth;K. Engel;C. Espinoza;K. Fan;M. F. Alonso;N. Fraija;D. García;J. García-González;F. Garfias;M. González;J. Goodman;J. P. Harding;S. Hernández;B. Hona;D. Huang;F. Hueyotl-Zahuantitla;P. Hüntemeyer;A. Iriarte;A. Jardin-Blicq;V. Joshi;S. Kaufmann;G. Kunde;A. Lara;W.H. Lee;J. Lee;H. L. Vargas;J. Linnemann;G. Luis-Raya;J. Lundeen;K. Malone;V. Marandon;O. Martinez;J. Mart'inez-Castro;J. Matthews;P. Miranda-Romagnoli;J. Morales-Soto;A. Nayerhoda;L. Nellen;M. Nisa;R. Noriega-Papaqui;L. Olivera-Nieto;N. Omodei;A. Peisker;Y. Araujo;E. Pérez-Pérez-E.-Pérez-Pérez-1431205495;C. Rho;D. Rosa-Gonz'alez;E. Ruiz-Velasco;H. Salazar;F. Greus;A. Sandoval;P. Parkinson;J. Serna-Franco;A.J. Smith;R. Springer;O. Tibolla;K. Tollefson;I. Torres;R. Torres-Escobedo;R. Turner;F. Ureña-Mena;L. Villaseñor;X. Wang;I. Watson;F. Werner;E. Willox;J. Wood;A. Zepeda;H. Zhou
高空水切伦科夫（HAWC）伽玛射线观测站观测能量从300 GeV到100 TeV以上的入射伽玛射线和宇宙射线产生的大气阵雨。使用地面伽玛射线探测器（如HAWC）分析伽玛射线源的一个关键阶段是识别伽玛射线或强子产生的阵雨。HAWC天文台每秒记录大约25,000次事件，其中强子占绝大多数（bbbb99）。9%)。HAWC中标准的伽马/强子分离技术使用一个简单的矩形切割，只涉及两个参数。这项工作描述了通过机器学习方法（增强决策树和神经网络）实现更复杂的伽马/强子分离技术，并总结了在HAWC中获得的伽马/强子分离的改进结果。
Abstract The High Altitude Water Cherenkov (HAWC) gamma-ray observatory observes atmospheric showers produced by incident gamma rays and cosmic rays with energy from 300 GeV to more than 100 TeV. A crucial phase in analyzing gamma-ray sources using ground-based gamma-ray detectors like HAWC is to identify the showers produced by gamma rays or hadrons. The HAWC observatory records roughly 25,000 events per second, with hadrons representing the vast majority (> 99. 9%) of these events. The standard gamma/hadron separation technique in HAWC uses a simple rectangular cut involving only two parameters. This work describes the implementation of more sophisticated gamma/hadron separation techniques, via machine learning methods (boosted decision trees and neural networks), and summarizes the resulting improvements in gamma/hadron separation obtained in HAWC.