Last edited by Nikozragore

Tuesday, May 5, 2020 | History

2 edition of **Analytic analysis of ellipsometric errors** found in the catalog.

Analytic analysis of ellipsometric errors

Deane Chandler-Horowitz

- 5 Want to read
- 38 Currently reading

Published
**1986**
by U.S. Dept. of Commerce, National Bureau of Standards, For sale by the Supt. of Docs., U.S. G.P.O. in Gaithersburg, MD, Washington, DC
.

Written in English

- Ellipsometry -- Data processing.,
- FORTRAN (Computer program language)

**Edition Notes**

Statement | Deane Chandler-Horowitz. |

Series | Semiconductor measurement technology, NBS special publication ;, 400-78 |

Classifications | |
---|---|

LC Classifications | QC100 .U57 no. 400-78, QC443 .U57 no. 400-78 |

The Physical Object | |

Pagination | iii, 32 p. : |

Number of Pages | 32 |

ID Numbers | |

Open Library | OL2343431M |

LC Control Number | 86600541 |

Statistical or Random Errors. Every measurement an experimenter makes is uncertain to some degree. The uncertainties are of two kinds: (1) random errors, or (2) systematic errors. The Physics Teacher "This is a well written book with good illustrations, index and general bibliography The book is well suited for engineering and science courses at universities and as a basic reference text for those engineers and scientists in practice." Strain, Journal of the British Society for Strain Measurement.

Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis. (source: Nielsen Book Data). Calibration errors are usually linear (measured as a fraction of the full scale reading), so that larger values result in greater absolute errors. Zero offset (systematic) — When making a measurement with a micrometer caliper, electronic balance, or electrical meter, always check the zero reading first.

This tutorial provided by the J. A. Woollam is an introduction to ellipsometry for anyone interested in learning more about ellipsometry and its applications. This tutorial is written with the novice in mind, but experienced ellipsometry users will also benefit from the information presented in this discussion. LAB 01 – Experimental Errors and Data Analysis CONTENT: 1. Introduction 2. Experimental Issues 3. Experimental Errors A. Classification B. Calculations C. Reporting 4. Graphing Experimental Data D. Principle and Design was the very edge of E. Analysis 5. Pre File Size: KB.

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Get this from a library. Analytic analysis of ellipsometric errors. [Deane Chandler-Horowitz]. Get this from a library.

Analytic analysis of ellipsometric errors. [Deane Chandler-Horowitz; United States. National Bureau of Standards.]. atic errors present in ellipsometric measurements to first order In the fixed compensator nulling scheme, the compensator is set at + in zones 2.

• In propagating uncorrelated errors from individual measurement to final result, use the square root of the sums of the squares of the errors – There are generally only a few main contributors (sometimes one) to the overall uncertainty which need to be addressed • Uncertainty analysis is a File Size: KB.

"As far as data analysis goes, beyond the basics (mean, sigma, chi-squared fits) it would be good for you to understand maximum likelihood fits (particularly multi-dimensional ML fits).

Also, we probably will want to explore using multi-variate discriminators.". Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - /5(7).

Ellipsometry 33 works Search for books with subject Ellipsometry. Not In Library. A software program for aiding the analysis of ellipsometric measuremen J.

Marchiando Not In Library. Analytic analysis of ellipsometric errors Deane Chandler-Horowitz Not In Library.

Ellipsometric surface analysis of wear tacks produced by different lub. definition errors is to carefully consider and specify the conditions that could affect the measurement.

Failure to account for a factor (usually systematic) – The most challenging part of designing anFile Size: 95KB. EDUCATIONAL COMMENTARY – PREVENTING ERRORS IN THE ANALYTIC PHASE OF THE TESTING PROCESS Educational commentary is provided through our affiliation with the American Society for Clinical Pathology (ASCP).

To obtain FREE CME/CMLE credits click on Continuing Education on the left side of the Size: 30KB. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

A nice reference book to have for general data analysis, especially in the case of physical chemistry, chemical engineering, physics and etc It really is an extensive guide to data analysis in a by: Spectroscopic Ellipsometry (SE) is sensitive to many parameters of interest to thin-film science, such as • Film thickness • Interfaces • Optical functions (n and k).

But SE data is not meaningful by itself. Therefore One must model the near-surface region to get useful Size: KB. Ellipsometry Data Analysis Ellipsometry measures changes in light polarization to determine the sample material’s properties of interest, such as film thickness and optical constants.

In the case of a bulk material, the equations derived for a single reflection can be directly inverted to provide the “pseudo” optical constants from the. Errors Analysis & Statistics Muchof the followingdiscussion istaken from the references listed at the end of the notes.

How-ever, the discussion has been simpliﬁed for a non- mal propagation of the errors in adding up all the data and dividing by the number of points.!#"yx 2. scholarly book is needed. Accordingly, a group of authors from the inter-national scientific community were asked to make contributions to the Handbook of Ellipsometry.

This book is divided into four sections. Chapters 1, 2, and 3 explain the theory of ellipsometry. Chapters 4. Random errors can be evaluated through statistical analysis and can be reduced by averaging over a large number of observations (see standard error).

Systematic errors are reproducible inaccuracies that are consistently in the same direction. These errors are. The errors associated with D always couple with the second order of δC and δτ and are enhanced by csc2 2ψ.

These divergent errors limit the applicable region of null ellipsometry where the errors in ψ and Δ are within °, and the simulation agrees well with the analytic solutions. Exploring Mathematics through the Analysis of Errors* RAFFAELLA BORASI *This study has been supported in part by a grant from the National Science Foundation (#MDR ) L Introduction A review of the mathematics education literature shows that researchers as well as teachers in this field have given serious consideration to students.

Ellipsometry Spectroscopic Ellipsometry: • Introduction • Fundamentals • Anatomy of an ellipsometric spectrum • Analysis of an ellipsometric spectrum • What you can do, and what you can’t do What it is, what it will do, and what it won’t do by Harland G.

Tompkins. TompkinsFile Size: KB. Ellipsometry is an optical technique for investigating the dielectric properties (complex refractive index or dielectric function) of thin ometry measures the change of polarization upon reflection or transmission and compares it to a model.

It can be used to characterize composition, roughness, thickness (depth), crystalline nature, doping concentration, electrical conductivity.

A nonlinear Bounded-Error Estimation method is applied to the case of ellipsometric measurement of film properties. It is shown that this method can b Cited by: 2. Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA.

Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data.

In addition, factor rotation is treated as the Cited by: 1.(iv) is the true domain of numerical analysis, and refers to the fact that most systems of equations are too complicated to solve explicitly, or, even in cases when an analytic solution formula is known, directly obtaining the precise numerical values may be diﬃcult.

There are two principal ways of quantifying computational errors File Size: 82KB.