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FieldView: An interactive software tool for exploration of three-dimensional vector fields

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Piotr Nowakowski, Przemys{l}aw Rokita

Physics Education · Submitted 7 Dec 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Research done for FieldView development has found practical application in the form of magnetic field visualisation integrated in the data processing framework developed by ALICE experiment at CERN.

how it is stated · asserted 1.00 read the record →

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arXiv ID2212.11813 (version 1)
Pith IDC34TRMWO, Pith's permanent record of this paper and its review
CitationPiotr Nowakowski, Przemys{\l}aw Rokita. "FieldView: An interactive software tool for exploration of three-dimensional vector fields." arXiv:2212.11813 (2022). https://pith.science/paper/C34TRMWO
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,261 input tokens.

What the abstract itself states, as probabilities: claims first 0.07 · states limitation 0.07 · human participants 0.04 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.07 · mentions code or data availability 0.07.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Vector fields are one of the fundamental parts of mathematics which are key for modelling many physics phenomena such as electromagnetic fields or fluid and gas flows. Fields found in nature often exhibit complex structures which can be difficult to analyze in full detail without a graphical representation. In this paper we introduce FieldView -- an application targeted at academics and industry professionals wanting to visualize vector fields using various rendering techniques. FieldView uses a novel way of evaluation of the field and construction of the displayed elements directly on the GPU which is based on the recently introduced mesh shader graphics pipeline by NVIDIA. Research done for FieldView development has found practical application in the form of magnetic field visualisation integrated in the data processing framework developed by ALICE experiment at CERN.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Vector fields are one of the fundamental parts of mathematics which are key for modelling many physics phenomena such as electromagnetic fields or fluid and gas flows. background 1.00 0.04 0.02 asserted 1.00
s1 Fields found in nature often exhibit complex structures which can be difficult to analyze in full detail without a graphical representation. background 0.93 0.08 0.02 asserted 0.83
s2 In this paper we introduce FieldView -- an application targeted at academics and industry professionals wanting to visualize vector fields using various rendering techniques. contribution 1.00 0.70 0.22 asserted 0.99
s3 FieldView uses a novel way of evaluation of the field and construction of the displayed elements directly on the GPU which is based on the recently introduced mesh shader graphics pipeline by NVIDIA. method 0.89 0.80 0.12 asserted 1.00
s4 Research done for FieldView development has found practical application in the form of magnetic field visualisation integrated in the data processing framework developed by ALICE experiment at CERN. result 0.63 0.89 0.13 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 0.89.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Vector fields are one of the fundamental parts of mathematics which are key for modelling many physics phenomena such as electromagnetic fields or fluid and gas flows. Fields found in nature often exhibit complex structures which can be difficult to analyze in full detail without a graphical representation. In this paper we introduce FieldView -- an application targeted at academics and industry professionals wanting to visualize vector fields using various rendering techniques. FieldView uses a novel way of evaluation of the field and construction of the displayed elements directly on the GPU which is based on the recently introduced mesh shader graphics pipeline by NVIDIA. Research done for FieldView development has found practical application in the form of magnetic field visualisation integrated in the data processing framework developed by ALICE experiment at CERN.

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