AI 中文总结
研究针对ILD探测器概念中的SDHCAL，用粒子流算法APRIL比较多种强子能量重建公式，探讨角度校正。结果显示分裂方法和多项式回归在不同能量范围表现最佳，还指出将T-SDHCAL精确计时信息集成到APRIL可改进下一代轻子对撞机的强子能量重建。
AI 中文摘要
我们使用粒子流算法APRIL，对ILD探测器概念中的半数字强子量能器（SDHCAL）的强子簇射能量重建方法进行了详细研究。利用单\(K^0_L\)和双喷注（\(u,d,s\)）事件样本，比较了基于线性、二次、分裂和多项式回归的重建公式，重点关注它们对线性度和分辨率的影响。该研究还探讨了桶区因粒子非垂直入射所需的角度校正。结果表明，虽然所有方法都具有良好的整体性能，但分裂方法和多项式回归在不同能量范围提供了最佳折衷，在低能量下提高了分辨率，在高能量下不影响线性度。对于双喷注，在高能量下对PFA混淆的敏感性主导了分辨率。这些发现突出了未来改进的潜力，特别是将来自T-SDHCAL的精确计时信息集成到APRIL中，以进一步减少混淆并增强下一代轻子对撞机的强子能量重建。
英文摘要
We present a detailed study of hadronic shower energy reconstruction methods for the Semi-Digital Hadronic Calorimeter (SDHCAL) within the ILD detector concept, using the Particle Flow Algorithm (PFA) APRIL. Using samples of single $K^0_L$ and dijet ($u,d,s$) events, we compare linear, quadratic, split, and polynomial regression-based reconstruction formulas, focusing on their impact on linearity and resolution. The study also addresses angular corrections required in the barrel region due to non-perpendicular particle incidence. Results show that while all methods achieve good overall performance, the split method and the polynomial regression provide the best compromise across different energy regimes, offering improved resolution at low energies without compromising linearity at higher energies. For dijets, sensitivity to PFA confusion dominates the resolution at high energies. These findings highlight the potential of future improvements, notably the integration of precise timing information from the T-SDHCAL into APRIL, to further reduce confusion and enhance hadronic energy reconstruction for next-generation lepton colliders.
Comments20 pages, 14 figures, 4 tables
