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Data · dataset · 2026

“Analytical study and correction investigation of fringe-field effects for sector-based energy analysis systems”--NST-2026-0568--Figure3 to Figure 8 datasets

Listed in ScienceDB

The dataset is uploaded in the form of the folder 'NST-2026-0568 Dataset'. among which The folder 'fig3_System's Distribution of Deviation y0 with Initial Vertical Position at Different Positions' contains the figure 3. m file.

Description

Running figure 3. m can calculate and generate the values shown in the figure figure3.Variation of the vertical position deviation of electrons relative to the reference particle during the particle transport process.; The folder "fig4_Simple Particle Matlab Simulation and Calibration" contains "step1_Theoretical Formula Calculation End Position. m", "step_2 MSE Together Equation. m", and "Software Result. xlsx".

Use "step1_Theoretical Formula Calculation End Position. m" to generate the theoretical formula calculation data required for Figure 4 and save it in "Software Result. xlsx". Use "step_2 MSE Together Equation. m" to draw Figure 4; The folder "fig5_Multi particle Matlab Simulation and Calibration" contains "Five sets of random distributions", "Step1_ Using different methods to calculate the absolute error of momentum dispersion. m", "Step_2 Drawing the relative error value of momentum dispersion under different methods. m", and "Statistical results of multiple distributions. xlsx".

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Using step 1_ to calculate the absolute error of momentum dispersion using different methods, calculate the lateral size of the beam cluster at the end of the system for each of the five random distributions in the folder according to the derivation formula in the article, and record it in the "Statistical Results of Multiple distributions. xlsx". Subsequently, the correction method proposed in the article was applied to calculate the error of momentum dispersion of the beam cluster in each case.

Finally, Figure 5 was drawn using "Step 2: Draw the relative error values of momentum dispersion under different methods"; The folder "fig6_field diagram and drawing of first and second order conductors" contains two files: "figure 6. m" and "actual dipole ferromagnetism data. xlsx". The actual magnetic measurement data of the dipole iron is recorded in the "Actual Dipole Iron Magnetic Measurement Data. xlsx", and Figure 6 is calculated and plotted by reading the data in the table using "Figure 6. m"; The folder "fig7_Simple Particle COSY Simulation and Calibration" contains "COSY Single Particle Simulation", "step1_Single Particle Parameter Conversion and Output Particle Files. m", "step_2 Drawing Simulation Results and Calibration Results. m", and "Software Results. xlsx".

Step1_Single particle parameter conversion and output particle file. m "is used to integrate the parameters of single particles under different initial conditions and generate" single_particles. txt "in the folder" COSY Single Particle Simulation ". Then, COSY is used to track the particle trajectory, and the code is saved in the folder" COSY Single Particle Simulation ". The simulation results are stored in" Software Results. xlsx ".

Finally, Figure 7 is drawn using" Step_2 Draw Simulation Results and Correction Results. m "; The folder "fig8_Multi particle Cosy Simulation and Calibration" contains "Cosy Multi particle Simulation", "step1_Absolute Error of Momentum Dispersion Calculated by Different Methods. m", "step_2 Drawing Multi particle Cosy Simulation Results and Calibration Results. m", and "Statistical Results of Multiple Group Distribution. xlsx".

The COSY simulation code and results are stored in the folder "COSY Multi Particle Simulation". Then, the simulation results are processed using "step1_ Absolute Error of Momentum Dispersion Calculated by Different Methods. m" to obtain "Statistical Results of Multiple Distribution. xlsx". Finally, Figure 8 is drawn using "step_2 Drawing Multi Particle COSY Simulation Results and Correction Results. m". 

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Inferred from text
Simulation 75% · Tabular 65%
Provenance · 1 source records, 14 field assertions
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ScienceDB10.57760/sciencedb.433119 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:energymapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[method].local:method:simulationenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:tabularenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title