Finding refractive index by interpolation

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Homework Help Overview

The problem involves finding the refractive indices for both polarizations of Calomel at a wavelength of 760nm, with a focus on interpolation methods to estimate these values from a limited set of data points.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss various interpolation methods, including linear interpolation and polynomial fitting, as well as the potential use of Sellmeier coefficients. There is consideration of the limitations posed by having only three data points.

Discussion Status

Participants are exploring different models for interpolation and fitting, with some suggesting the Cauchy model as a simpler alternative. There is an acknowledgment of the challenges associated with the available data points, but no consensus has been reached on a specific approach.

Contextual Notes

Participants note the constraints of using only three data points, which may limit the effectiveness of certain fitting methods like the Sellmeier equation.

Chen
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The problem is described here:
http://phstudy.technion.ac.il/~wn117066/Problems2.pdf

In question 1 I need to find the refractive indices for both polarizations at 760nm. I'm not quite sure how to go about this - which model of dispersion best fits Calomel?

(I'm done with the exercise itself, now I just need to plug in the refractive indices values to get a numerical result...)

Thanks,
Chen
 
Last edited by a moderator:
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Interpolation is the process of estimating a value from a discrete set of ordered pairs of data. You could use a linear interpolation, or since you have three rather widely spaced points you could use a second degree polynomial (parabola) to fit the data and extract the interpolated data point. Most graphing calculators have a built in fitting program for this, probably called a quadratic regression. Or you could derive the equation from the three data points you are given and use it to find the additional popint you need.

http://en.wikipedia.org/wiki/Interpolation
 
I'm well familiar with the definition of interpolation, thank you.

physics girl phd said:
Or you could fit the data to find the sellmeier coefficients:

http://en.wikipedia.org/wiki/Sellmeier_equation
I considered that route, but having only 3 data points available makes it a bit hard to find those coefficients...
 
You could also use other models with fewer coefficients -- since yeah, you only have three points and probably don't want to trucate the Sellmeier series approach by too much (sorry I didn't notice that :rolleyes:):

http://www.optics.arizona.edu/Palmer/cgi-bin/index/dispeqns.pdf

The Cauchy model is common.
 
Last edited by a moderator:
Thanks, that seems sensible. I'll report back if anything goes awry...
 

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