Dataset accompanying the publication: "Scanning in coherent Fourier scatterometry using Fresnel zone plate projection on a digital micro-mirror device"
DOI: 10.4121/e62d520c-d7b1-4ef6-a8b0-a90d588c4d5e
Datacite citation style
Dataset
Title: Dataset for “Scanning in Coherent Fourier Scatterometry Using Fresnel Zone Plate Projection on a Digital Micromirror Device”
Authors (publication): Sarika Soman, Eren Özdemir, Silvania F. Pereira
This dataset contains raw and processed experimental data used to support the findings in the publication “Scanning in coherent Fourier scatterometry using Fresnel zone plate projection on a digital micro-mirror device.” The data was collected as part of a study on high-speed, non-mechanical beam scanning for optical metrology applications. It includes coherent Fourier scatterometry (CFS) measurements of calibration gratings, focal plane intensity distributions, optical aberration characterisation, and particle detection scans, along with scripts used for data processing, step-size calibration, and wavefront optimisation. The dataset is organised to ensure reproducibility and reuse, and can be applied to related research in nanoscale surface inspection, adaptive optics, and programmable illumination.
History
- 2025-11-04 first online, published, posted
Publisher
4TU.ResearchDataFormat
Data files: .csv, .mat, .npy; Scripts: .m (MATLAB), .py (Python); Metadata: .txtFunding
- NWO (grant code P15-36) Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Organizations
TU Delft, Faculty of Applied Sciences, Department of Imaging PhysicsDATA
Files (11)
- 3,985 bytesMD5:
a82ba71aabd86e67af34bb0d38bdada7readme.txt - 488,162 bytesMD5:
2aced8904939aa97014be53430a850e5Figure_10_convergence.zip - 496,823 bytesMD5:
36ce8c71d881c88bca074815657159fcFigure_11_coeffs.zip - 71,699,044 bytesMD5:
48d808deef107f4bdb223bfccefce51aFigure_12_2Dcoeffs.zip - 15,214,993 bytesMD5:
e614970d19e6d0f55089949272db922bFigure_4_stepsize_calculation.zip - 34,169 bytesMD5:
6cf7bfd0b5b8edf8fc39f18d7454bcbaFigure_5_power_variation.zip - 9,474 bytesMD5:
f9b00107b1d86d13e0cab13f9adeaef9Figure_6_algorithm.zip - 441,983 bytesMD5:
5153e9c8fcf9f3b35721207ef0e5d400Figure_7_focus_spot_improvement.zip - 71,740,311 bytesMD5:
e998d0e467b5ba77f9b0f9f91076f5a5Figure_8_improvement2D.zip - 131,086 bytesMD5:
d113d6d5240c4ebc4b32504be80b791aFigure_9_PSL_scan.zip - 191,595,260 bytesMD5:
37c4ca133a749cb71481689a4830cdadUncertainty_data.zip -
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