Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data
Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data
复制标题
使用 MicroBooNE 数据对液氩 TPC 中的径迹特征进行量热分类
DOI：
10.1007/jhep12(2021)153
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发表时间：
2021
影响因子：
5.4
通讯作者：
Basque, V.
中科院分区：
文献类型：
--
作者：
Abratenko, P.;An, R.;Anthony, J.;Asaadi, J.;Ashkenazi, A.;Balasubramanian, S.;Baller, B.;Barnes, C.;Barr, G.;Basque, V.
位于费米实验室的MicroBooNE液氩时间投影室是一个中微子实验，致力于研究短基线振荡，测量液氩中的中微子截面，并研究和开发这种新的探测器技术。准确和精确的量热测量对于事件重建至关重要，并且通过利用TPC以mm分辨率测量沿粒子轨迹的每单位长度的沉积能量来实现。我们描述了非均匀的量热重建性能的检测器，显示依赖于粒子轨迹的角度。这种非均匀重建直接影响从量热测量推断颗粒类型的颗粒识别算法的性能。这项工作提出了一种新的颗粒识别方法，占，并有效地解决这种不均匀性。与以前的算法相比，新开发的方法显示出更好的性能，质子选择效率为93.7%，μ子错误识别率为10%，对束流数据进行了相当宽松的轨道选择。通过识别ν μ CC相互作用中的排他性最终状态，进一步证明了性能。虽然使用MicroBooNE数据和模拟开发，这种方法很容易适用于未来的LArTPC实验，如SBND，ICARUS和DUNE。
The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affects the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 93.7% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in ν μ CC interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.
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MicroBooNE 探测器稳定性
影响因子：
1.4
作者：
MicroBooNE
通讯作者：
MicroBooNE
影响因子：
5
作者：
K. Nakamura;K. Hagiwara;K. Hikasa;H. Murayama;M. Tanabashi;T. Watari;C. Amsler;M. Antonelli
通讯作者：
K. Nakamura;K. Hagiwara;K. Hikasa;H. Murayama;M. Tanabashi;T. Watari;C. Amsler;M. Antonelli
液态氩测试光束 (LArIAT) 实验
影响因子：
1.3
作者：
R. Acciarri;C. Adams;J. Asaadi;M. Backfish;W. Badgett;B. Baller;O. Rodrigues;F. Blaszczyk;R. Bouabid;C. Bromberg;R. Carey;R. C. Fernández;F. Cavanna;J. Aleman;A. Chatterjee;P. Dedin;M.V. dos Santos;D. Edmunds;M. Elkins;C. Escobar;J. Esquivel;J. Evans;A. Falcone;A. Farbin;W. Flanagan;B. Fleming;W. Foreman;D. Garcia;D. Gastler;T. Ghosh;R. Gomes;E. Gramellini;R. Gran;D. Gratieri;P. Guzowski;A. Habig;A. Hahn;P. Hamilton;C. Hill;J. Ho;A. Holin;J. Hugon;E. Iwai;D. Jensen;R. Johnson;H. Jostlein;H. Kawai;E. Kearns;E. Kemp;M. Kirby;T. Kobilarcik;M. Kordosky;P. Kryczynski;K. Lang;R. Linehan;S. Lockwitz;X. Luo;A. Machado;A. Marchionni;T. Maruyama;L. M. Santos;W. Metcalf;C. Moura;R. Nichol;I. Nutini;A. Olivier;O. Palamara;J. Paley;I. Parmaksiz;B. Gelli;L. Paulucci;D. Phan;G. Pulliam;J. Raaf;B. Rebel;M. Guzzo;M. Ross;M. Nunes;D. Schmitz;E. Segreto;D. Sessumes;S. Shahsavarani;D. Shooltz;D. Smith;M. Soderberg;B. Soubasis;F. Spagliardi;J. John;M. Stancari;D. Stefan;M. Stephens;R. Sulej;A. Szelc;M. Tabata;D. Totani;M. Tzanov;G. Valdiviesso;D. Walker;H. Wenzel;Z. Williams;T. Yang;J. Yu;G. Zeller;S. Zhang;J. Zhu
通讯作者：
J. Zhu
影响因子：
1.3
作者：
Adams, C.;An, R.;Zhang, C.
通讯作者：
Zhang, C.