Ryukhtin Vasyl, Len Adél, Almásy László, Juszyńska-Gałązka Ewa, Zając Wojciech, Tomchuk Oleksandr
Neutron Physics Laboratory Nuclear Physics Institute ASCR 250 68Řež Czechia.
Neutron Spectroscopy Department, HUN-REN Centre for Energy Research, 1121Budapest, Hungary.
J Appl Crystallogr. 2024 Sep 25;57(Pt 5):1551-1556. doi: 10.1107/S1600576724008380. eCollection 2024 Oct 1.
Presented here is an effective approach to desmearing slit ultra-small-angle neutron scattering (USANS) data, based on complementary small-angle neutron scattering (SANS) measurements, leading to a seamless merging of these data sets. The study focuses on the methodological aspects of desmearing USANS data, which can then be presented in the conventional manner of SANS, enabling a broader pool of data analysis methods. The key innovation lies in the use of smeared SANS data for extrapolating slit USANS, offering a self-consistent integrand function for desmearing with Lake's iterative method. The proposed approach is validated through experimental data on porous anodized aluminium oxide membranes, showcasing its applicability and benefits. The findings emphasize the importance of accurate desmearing for merging USANS and SANS data in the crossover region, which is particularly crucial for complex scattering patterns.
本文介绍了一种有效的方法来消除狭缝超小角中子散射（USANS）数据的模糊，该方法基于互补的小角中子散射（SANS）测量，从而实现这些数据集的无缝合并。该研究聚焦于消除USANS数据模糊的方法学方面，之后这些数据可以以SANS的传统方式呈现，从而能够使用更广泛的数据分析方法。关键创新在于使用模糊的SANS数据来外推狭缝USANS，为使用莱克迭代法进行去模糊提供一个自洽的被积函数。通过多孔阳极氧化铝膜的实验数据验证了所提出的方法，展示了其适用性和优势。研究结果强调了在交叉区域准确去模糊对于合并USANS和SANS数据的重要性，这对于复杂散射模式尤为关键。
