Evidence map›Paper›PMID 39387083›Full record

ArticleJournal of applied crystallography2024

Pinhole small-angle neutron scattering based approach for desmearing slit ultra-small-angle neutron scattering data.

Vasyl Ryukhtin, Adél Len, László Almásy, Ewa Juszyńska-Gałązka, Wojciech Zając, Oleksandr Tomchuk

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vasyl RyukhtinNeutron Physics Laboratory Nuclear Physics Institute ASCR 250 68Řež Czechia.ORCID https://orcid.org/0000-0003-0535-5719
Adél LenNeutron Spectroscopy Department, HUN-REN Centre for Energy Research, 1121Budapest, Hungary.ORCID https://orcid.org/0000-0003-3108-4203
László AlmásyNeutron Spectroscopy Department, HUN-REN Centre for Energy Research, 1121Budapest, Hungary.ORCID https://orcid.org/0000-0001-5750-5788
Ewa Juszyńska-GałązkaDepartment of Soft Matter Research The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences 31-342Kraków Poland.ORCID https://orcid.org/0000-0002-3964-0721
Wojciech ZającDepartment of Soft Matter Research The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences 31-342Kraków Poland.ORCID https://orcid.org/0000-0001-9957-1206
Oleksandr TomchukDepartment of Soft Matter Research The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences 31-342Kraków Poland.ORCID https://orcid.org/0000-0001-8806-6861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

desmearingSANSslit geometrysmall-angle neutron scatteringultra-small-angle neutron scatteringUSANS

Identifiers

PMID39387083
PMCPMC11460380

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.