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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Chapter6 - Optical fiber cables and connections"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 6.1 : Page 119"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"refractive index = 1.59\n"
]
}
],
"source": [
"from __future__ import division\n",
"#refractive index\n",
"l=0.47##in db\n",
"nf=10**((l/-10))##\n",
"from sympy import symbols, solve\n",
"x=symbols(\"x\")\n",
"p=1+-2.22*x+x**2##\n",
"y=solve(p,x)##\n",
"print \"refractive index = %0.2F\"%y[1]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 6.2 : Page 121"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"part (a)\n",
"insertion loss at the joint = 0.64 dB\n",
"part (b)\n",
"insertion loss at the joint = 0.286 dB\n"
]
}
],
"source": [
"from math import log10, acos, pi\n",
"#loss\n",
"print \"part (a)\"\n",
"dya=0.1##\n",
"n1=1.50##refrative index\n",
"na=1##\n",
"k1=n1/n1##\n",
"k2=1##\n",
"nf=((16*(n1)**2)/((n1+1)**4))##\n",
"nlat=(2/(3.14))*(acos(dya/2)-(dya/2)*(1-(dya/2)**2)**(1/2))##\n",
"nt=nf*nlat##\n",
"lt=(-10*log10(nt))##in dB\n",
"print \"insertion loss at the joint = %0.2f dB\"%lt\n",
"print \"part (b)\"\n",
"dya=0.1##\n",
"n1=1.50##refrative index\n",
"na=1##\n",
"k1=n1/n1##\n",
"k2=1##\n",
"nf=((16*(n1)**2)/((n1+1)**4))##\n",
"nlat=(2/(pi))*(acos(dya/2)-(dya/2)*(1-(dya/2)**2)**(1/2))#\n",
"nt=k2*nlat##\n",
"lt=(-10*log10(nt))##in dB\n",
"print \"insertion loss at the joint = %0.3f dB\"%lt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 6.3 : Page 122"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total loss = 0.75 dB\n"
]
}
],
"source": [
"from math import sqrt\n",
"#loss\n",
"d=100##micro meter\n",
"dx=0##\n",
"dy=3##in micro mete\n",
"dth=3##in degree\n",
"dthr=dth*(pi/180)##\n",
"dya=0.02##\n",
"n1=1.48##refrative index\n",
"na=1##\n",
"k1=n1/n1##\n",
"k2=1##\n",
"nf=((16*(n1)**2)/((n1+1)**4))##\n",
"nlat=(2/(pi))*(acos(dy/100)-(dy/100)*(1-(dy/100)**2)**(1/2))##\n",
"NA=n1*(sqrt(2*dya))##\n",
"nang=((1-(na*dthr)/(pi*NA)))##\n",
"nt=nf*nlat*nang##\n",
"lt=(-10*log10(nt))##in dB\n",
"print \"total loss = %0.2f dB\"%lt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 6.4 : Page 124"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total loss = 4.1260 dB\n"
]
}
],
"source": [
"from scipy import log10\n",
"#loss\n",
"d1=80##micro meter\n",
"na1=0.25##\n",
"alpha1=2##\n",
"d2=60##in micro meter\n",
"na2=0.21##\n",
"alpha2=1.9##\n",
"ncd=(d2/d1)**2##\n",
"nna=(na2/na1)**2##\n",
"nalpha=((1+(2/alpha1))/(1+((2/alpha2))))##\n",
"nt=ncd*nna*nalpha##\n",
"lt=(-10*log10(nt))##in dB\n",
"print \"total loss = %0.4f dB\"%lt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 6.5 : Page 125"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total loss forward direction = 3.52 dB\n",
"total loss backward direction = 0.217 dB\n"
]
}
],
"source": [
"#loss\n",
"d1=60##micro meter\n",
"na1=0.25##\n",
"alpha1=2.1##\n",
"d2=50##in micro meter\n",
"na2=0.20##\n",
"alpha2=1.9##\n",
"ncd=(d2/d1)**2##\n",
"nna=(na2/na1)**2##\n",
"nalpha1=1##\n",
"nalpha=((1+(2/alpha1))/(1+((2/alpha2))))##\n",
"ncd1=1##\n",
"nna1=1##\n",
"nt=ncd*nna*nalpha1##\n",
"ltf=(-10*log10(nt))##in dB\n",
"nt1=ncd1*nna1*nalpha##\n",
"ltb=(-10*log10(nt1))##in dB\n",
"print \"total loss forward direction = %0.2f dB\"%ltf\n",
"print \"total loss backward direction = %0.3f dB\"%ltb"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.9"
}
},
"nbformat": 4,
"nbformat_minor": 0
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|
