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Model-Based Optical Metrology in R: M.o.R.

Metadata Updated: September 30, 2025

Reliable optical critical dimension (OCD) metrology in the regime where the inspection wavelength λ is much larger than the critical dimensions (CDs) of the measurand is only possible using a model-based approach. Due to the complexity of the models involved, that often require solving Maxwell's equations, many applications use a library based look-up approach. Here, the best experiment-to-theory fit is found by comparing the measurement data to a library consisting of pre-calculated simulations. One problem with this approach is that it makes the accuracy of the solution dependent on the refinement of the grid. Interpolating between library values requires a uniform grid in most cases, and can also be very time-consuming. We present an approach based on radial basis functions that is fast, accurate and most importantly works on arbitrary grids. The method is implemented in a application based on the programming language R, that additionally allows for Bayesian data analysis, and provides multiple diagnostics.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date November 12, 2020
Metadata Updated Date September 30, 2025
Data Update Frequency irregular

Metadata Source

Harvested from Commerce Non Spatial Data.json Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date September 30, 2025
Publisher National Institute of Standards and Technology
Maintainer
Identifier 6388F53FD1DBB474E0531A57068183FF1887
Language en
Data Last Modified 2018-01-24
Category Mathematics and Statistics:Uncertainty quantification, Mathematics and Statistics:Numerical methods and software, Mathematics and Statistics:Statistical analysis
Public Access Level public
Data Update Frequency irregular
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Dictionary https://mahenn.shinyapps.io/MoR1/
Harvest Object Id 9d9d3bd8-cd19-4ca7-bfe1-201ea5fb1410
Harvest Source Id bce99b55-29c1-47be-b214-b8e71e9180b1
Harvest Source Title Commerce Non Spatial Data.json Harvest Source
Homepage URL https://data.nist.gov/od/id/6388F53FD1DBB474E0531A57068183FF1887
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash e77673f72a203d218bebd807b276e78248c7f9b5cf6fea32abd24bdab56b85d2
Source Schema Version 1.1

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