Abstract:
:We propose a method to accelerate small-angle scattering experiments by exploiting spatial correlation in two-dimensional data. We applied kernel density estimation to the average of a hundred short scans and evaluated noise reduction effects of kernel density estimation (smoothing). Although there is no advantage of using smoothing for isotropic data due to the powerful noise reduction effect of radial averaging, smoothing with a statistically and physically appropriate kernel can shorten measurement time by less than half to obtain sector averages with comparable statistical quality to that of sector averages without smoothing. This benefit will encourage researchers not to use full radial average on anisotropic data sacrificing anisotropy for statistical quality. We also confirmed that statistically reasonable estimation of measurement time is feasible on site by evaluating how intensity variances improve with accumulating counts. The noise reduction effect of smoothing will bring benefits to a wide range of applications from efficient use of beamtime at laboratories and large experimental facilities to stroboscopic measurements suffering low statistical quality.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Saito K,Yano M,Hino H,Shoji T,Asahara A,Morita H,Mitsumata C,Kohlbrecher J,Ono Kdoi
10.1038/s41598-018-37345-5subject
Has Abstractpub_date
2019-02-06 00:00:00pages
1526issue
1issn
2045-2322pii
10.1038/s41598-018-37345-5journal_volume
9pub_type
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