Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Experimental neutron spectroscopy data visualization: adaptive tessellation algorithm.

I Bustinduy1, F J Bermejo, T G Perring

  • 1CSIC, Instituto de Estructura de la Materia, Serrano 123, Madrid, Spain.

The Review of Scientific Instruments
|May 5, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spin texture induced by non-magnetic doping and spin dynamics in 2D triangular lattice antiferromagnet h-Y(Mn,Al)O<sub>3</sub>.

Nature communications·2021
Same author

Charge disproportionation and nano phase separation in [Formula: see text].

Scientific reports·2020
Same author

Momentum-Dependent Magnon Lifetime in the Metallic Noncollinear Triangular Antiferromagnet CrB_{2}.

Physical review letters·2020
Same author

Antiferromagnetic fluctuations and charge carrier localization in ferromagnetic bilayer manganites: electrical resistivity scales exponentially with short-range order controlled by temperature and magnetic field.

Journal of physics. Condensed matter : an Institute of Physics journal·2020
Same author

Temperature dependence of the(π,0)anomaly in the excitation spectrum of the 2D quantum Heisenberg antiferromagnet.

Journal of physics. Condensed matter : an Institute of Physics journal·2020
Same author

Coexistence of Ferromagnetic and Stripe Antiferromagnetic Spin Fluctuations in SrCo_{2}As_{2}.

Physical review letters·2019

This study introduces adaptive binning for visualizing scientific data with Poisson distributions. The new method optimizes data binning for neutron spectroscopy, improving searches in four-dimensional space.

Area of Science:

  • Physics
  • Data Science

Background:

  • Scientific data visualization often involves counting statistics following Poisson distributions.
  • Equal-width binning is inadequate for high-dimensional data where information is concentrated in small regions.
  • Neutron spectroscopy data from single-crystal samples spans a four-dimensional space (3 spatial + time).

Purpose of the Study:

  • To develop an adaptive binning approach for scientific data visualization.
  • To address the limitations of equal-width binning for high-dimensional datasets.
  • To enhance the analysis of neutron spectroscopy data by optimizing binning.

Main Methods:

  • An adaptive binning algorithm is proposed.
  • The algorithm generates optimally binned datasets from 1D to 3D volumes.

Related Experiment Videos

  • Several binning algorithms are evaluated using experimental and simulated data.

    • Main Results:

    • The adaptive binning approach is effective for data visualization in Poissonian statistics.
    • Optimized binning improves the ability to search within four-dimensional spaces.
    • The method is applicable to diverse scientific fields, including astrophysics and condensed matter physics.

    Conclusions:

    • Adaptive binning offers a superior alternative to equal-width binning for specific scientific data.
    • This approach enhances data exploration and analysis in complex, high-dimensional datasets.
    • The developed method holds significant potential for advancing neutron spectroscopy and other scientific fields.