The yield and fuel compression trends for the NIF indirect-drive cryogenically-layered DT implosions is empirically examined across all ablators (CH, C and Be) and design in-flight adiabats between 1.5 and 3. Higher compression is observed for a lower design adiabat. Within a design adiabat, compression increases for shorter coast implosions but only if have optimized shock timing. The sensitivity of compression to coast time appears less for higher adiabat designs. Across all designs and ablators, the best DT neutron yields follow the same 1D theoretical curve versus peak velocity, but only if normalize by capsule scale rather than fuel mass and thickness. Shots with reduced yields can be explained by having long coast time, high hot spot mix or know capsule imperfections. Repeat “Standard Candle” shock timing and gas implosions, and DT layered implosions normalized for scale and velocity, reveal adequate reproducibility in shock timing, implosion drive symmetry, compression and yield for the majority of shots. The level of reproducibility is also consistent with known uncertainties and imperfections in initial laser and capsule parameters and outputs. We thus conclude there is no evidence of a significant random unknown variable in these NIF implosions. The scaled yield reproducibility is such that the effect of design improvements increasing yield on any given shot by at least 40% can be deemed statistically significant.

NIF间接驱动低温分层DT爆破的产量和燃料压缩趋势已在所有消融器（CH，C和Be）和1.5到3的设计飞行绝热体中进行了经验检验。观察到较低设计绝热体的较高压缩率。在设计绝热材料中，压缩会增加以实现更短的海岸内爆，但前提是必须优化冲击时机。对于较高的绝热设计，压缩对滑行时间的敏感性显得较小。在所有设计和烧蚀器中，最好的DT中子产率遵循相同的一维理论曲线与峰值速度的关系，但前提是要通过胶囊规模而不是燃料质量和厚度进行归一化。产量下降的原因可能是海岸时间长，热点混合量高或已知胶囊缺陷。重复“标准蜡烛”的冲击时间和气体内爆，DT分层内爆按比例和速度进行了归一化，显示出在大多数击球时的冲击时间，内爆驱动对称性，压缩和屈服具有足够的可重复性。可再现性的水平也与初始激光和胶囊参数和输出中的已知不确定性和缺陷一致。因此，我们得出结论，在这些NIF内爆中没有证据表明存在明显的随机未知变量。缩放的产量可再现性使得设计改进的效果可以使任何给定注射量的产量提高至少40％，可以认为具有统计学意义。可再现性的水平还与初始激光和胶囊参数和输出中的已知不确定性和缺陷一致。因此，我们得出结论，在这些NIF内爆中没有证据表明存在明显的随机未知变量。缩放的产量可再现性使得设计改进的效果可以使任何给定注射量的产量提高至少40％，可以认为具有统计学意义。可再现性的水平还与初始激光和胶囊参数和输出中的已知不确定性和缺陷一致。因此，我们得出结论，在这些NIF内爆中没有证据表明存在明显的随机未知变量。缩放的产量可再现性使得设计改进的效果可以使任何给定注射量的产量提高至少40％，可以认为具有统计学意义。