The goal of this work was to produce accurate data for use as a ‘gold standard’ and a valid tool for measurements in reference dosimetry for standard/small static field sizes from 0.5 × 0.5 to 10 × 10 cm². It is based on the accuracy of the phase space files (PSFs) as a key quantity. Because the IAEA general public database provides few PSFs for the Varian iX, we simulated the head through Monte Carlo (MC) simulations and calculated validated PSFs for 12 square field sizes including seven for small static fields. The resulting dosimetric calculations allowed us to reach a good level of agreement in comparison to our relative and absolute dose measurements performed on a Varian iX in water phantom. Measured and MC calculated output factors were investigated for different detectors. Based on the TRS 483 formalism and MC (PENELOPE/penEasy), we calculated output correction factors for the unshielded Diode-E (T60017) and the PinPoint-3D (T31016) micro-chamber according to manufacturers' blueprints. Our MC results were in agreement with the recommended data; they compete with recent measurements and MC simulations and in particular the TRS 483 MC data obtained from similar simulations. Moreover, our MC results provide supplemental data in comparison to TRS 483 data in particular for the PinPoint-3D (T31016). We suggest our MC output correction factors as new datasets for future TRS compilations. The work was substantial, used different robust MC strategies depending on the scoring regions, and led in most cases to uncertainties of less than 1%.

这项工作的目的是产生准确的数据，以用作“金标准”，并且是在标准剂量/小静电场尺寸为0.5×0.5至10×10 cm ^2的参考剂量学中进行测量的有效工具。。它基于相空间文件（PSF）的准确性作为关键指标。由于IAEA通用公共数据库为Varian iX提供的PSF很少，因此我们通过蒙特卡洛（MC）模拟来模拟机头，并针对12个正方形场尺寸（包括七个用于小型静态场）计算出经过验证的PSF。与在瓦里幻影中的Varian iX上进行的相对和绝对剂量测量相比，由此产生的剂量学计算使我们能够达到良好的一致性。研究了针对不同检测器的测量值和MC计算得出的输出因子。基于TRS 483形式和MC（PENELOPE / penEasy），我们根据制造商的蓝图计算了非屏蔽Diode-E（T60017）和PinPoint-3D（T31016）微腔的输出校正因子。我们的MC结果与推荐数据一致；它们与最新的测量和MC模拟，尤其是从类似模拟获得的TRS 483 MC数据竞争。此外，与TRS 483数据相比，我们的MC结果提供了补充数据，特别是针对PinPoint-3D（T31016）。我们建议将MC输出校正因子作为将来TRS编译的新数据集。这项工作是实质性的，根据得分区域使用了不同的鲁棒MC策略，并且在大多数情况下导致不确定度小于1％。我们建议将MC输出校正因子作为将来TRS编译的新数据集。这项工作是实质性的，根据得分区域使用了不同的鲁棒MC策略，并且在大多数情况下导致不确定度小于1％。我们建议将MC输出校正因子作为将来TRS编译的新数据集。这项工作是实质性的，根据得分区域使用了不同的鲁棒MC策略，并且在大多数情况下导致不确定度小于1％。