


{"id":343816,"date":"2024-01-09T14:47:25","date_gmt":"2024-01-09T14:47:25","guid":{"rendered":"\/forum\/forums\/reply\/343816\/"},"modified":"2024-01-09T14:47:25","modified_gmt":"2024-01-09T14:47:25","slug":"343816","status":"publish","type":"reply","link":"https:\/\/innovationspace.ansys.com\/forum\/forums\/reply\/343816\/","title":{"rendered":"Reply To: The wavelength values are different"},"content":{"rendered":"<p>&lt;p&gt;Hello Minu,&lt;\/p&gt;&lt;p&gt;I wouldn&#8217;t suggest to change the script because in this case you would need to create a new workflow if you want to avoid the polynomial fit.&lt;\/p&gt;&lt;p&gt;Since you have the data for both modes you can interpolate them.&lt;\/p&gt;&lt;p&gt;If for example you have the following data for mode 1 (assuming in the brackets you have the values from the table you shared):&lt;\/p&gt;&lt;p&gt;wavelength_mode1 = [&#8230; , &#8230; , &#8230; , &#8230; , &#8230; , &#8230;]&lt;\/p&gt;&lt;p&gt;neff_mode1 = [&#8230; , &#8230; , &#8230; , &#8230; , &#8230; , &#8230;]&lt;\/p&gt;&lt;p&gt;and for mode 2:&lt;\/p&gt;&lt;p&gt;wavelength_mode2 = [&#8230; , &#8230; , &#8230; , &#8230; , &#8230; , &#8230;]&lt;\/p&gt;&lt;p&gt;neff_mode2 = [&#8230; , &#8230; , &#8230; , &#8230; , &#8230; , &#8230;]&lt;\/p&gt;&lt;p&gt;you can write the following commands:&lt;\/p&gt;&lt;p&gt;neff_mode2_new=interp(neff_mode2,wavelength_mode2,wavelength_mode1);&lt;br&gt;plotxy(wavelength_mode2,neff_mode2,wavelength_mode1,neff_mode2_new,&#8221;wavelength&#8221;,&#8221;neff&#8221;,&#8221;&#8221;);&lt;br&gt;legend(&#8220;old data&#8221;, &#8220;interp&#8221;);&lt;\/p&gt;&lt;p&gt;This will interpolate the data of mode 2 to the wavelengths of mode 1 so that the effective indices of both modes correspond to the same wavelength points. The plot is suggested to check if the interpolated values are ok compared to the calculated ones.&lt;\/p&gt;&lt;p&gt;Best Regards,&lt;\/p&gt;&lt;p&gt;Afroditi&lt;\/p&gt;<\/p>\n","protected":false},"template":"","class_list":["post-343816","reply","type-reply","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Hello Minu,I wouldn&#039;t suggest to change the script because in this case you would need to create a new workflow if you want to avoid the polynomial fit.Since you have the data for both modes you can interpolate them.If for example you have the following data for mode 1 (assuming in the brackets you have\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/innovationspace.ansys.com\/forum\/forums\/reply\/343816\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta 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