论文标题

电磁环境中基于RPC的量热仪的描述和稳定性

Description and stability of a RPC-based calorimeter in electromagnetic and hadronic shower environments

论文作者

Boumediene, D., Francais, V., Apostolakis, J., Folger, G., Ribon, A., Sicking, E., Goto, K., Kawagoe, K., Kuhara, M., Suehara, T., Yoshioka, T., Pingault, A., Tytgat, M., Garillot, G., Grenier, G., Kurca, T., Laktineh, I., Liu, B., Li, B., Mirabito, L., Alamillo, E. Calvo, Carrillo, C., Fouz, M. C., Cabrera, H. Garcia, Marin, J., Navarrete, J., Pelayo, J. Puerta, Verdugo, A., Steen, A., Été, R., Krüger, K., Sefkow, F., Corriveau, F., Emberger, L., Graf, C., Simon, F., Pöschl, R., Kim, D. W., Park, S. W.

论文摘要

Calice半数字强体量骑热计技术原型于2011年完成的是使用玻璃电阻板室(GRPC)检测器作为活性培养基的采样量热仪。这项技术是国际线性对撞机国际大型探测器的强子量子量训练仪提出的两种选择之一。该原型在2015年暴露于Cern Super Proton同步加速器上不同能量的im,电子和乳头的光束。将该技术用于未来的实验需要对其响应进行可靠的模拟,以预测其性能。 GEANT4与数字化算法结合使用来模拟原型。它描述了信号的完整路径:淋浴,气雪崩,电荷感应和触发触发。使用MUON轨道和电磁淋浴来调整模拟,以解释检测器不均匀性,并对在测试梁中收集的Hadroonic阵雨进行了测试。该出版物描述了数字化算法的发展。它用于预测检测器性能在数据摄取条件下的各种变化(包括温度,压力,磁场,GRPC宽度变化和气体混合物变化)中的稳定性。这些预测面对测试梁数据,并尝试解释检测器的特性。诸如温度和潜在探测器不均匀性等数据的条件会影响能量密度测量,但对检测器效率的影响很小。

The CALICE Semi-Digital Hadron Calorimeter technological prototype completed in 2011 is a sampling calorimeter using Glass Resistive Plate Chamber (GRPC) detectors as the active medium. This technology is one of the two options proposed for the hadron calorimeter of the International Large Detector for the International Linear Collider. The prototype was exposed in 2015 to beams of muons, electrons, and pions of different energies at the CERN Super Proton Synchrotron. The use of this technology for future experiments requires a reliable simulation of its response that can predict its performance. GEANT4 combined with a digitization algorithm was used to simulate the prototype. It describes the full path of the signal: showering, gas avalanches, charge induction, and hit triggering. The simulation was tuned using muon tracks and electromagnetic showers for accounting for detector inhomogeneity and tested on hadronic showers collected in the test beam. This publication describes developments of the digitization algorithm. It is used to predict the stability of the detector performance against various changes in the data-taking conditions, including temperature, pressure, magnetic field, GRPC width variations, and gas mixture variations. These predictions are confronted with test beam data and provide an attempt to explain the detector properties. The data-taking conditions such as temperature and potential detector inhomogeneities affect energy density measurements but have a small impact on detector efficiency.

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