{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Course website**: http://lagex.github.io/geofisica2\n",
"\n",
"**Note**: This notebook is part of the course \"Geofísica 2\" of Geology program of the \n",
"[Universidade do Estado do Rio de Janeiro](http://www.uerj.br/). \n",
"All content can be freely used and adapted under the terms of the \n",
"[Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Esse documento que você está usando é um [IPython notebook](http://ipython.org/notebook.html). É um documento interativo que mistura texto (como esse), código (como abaixo), e o resultado de executar o código (que pode ser números, texto, figuras, videos, etc)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Prática 3 - Ondas de superfície\n",
"\n",
"Vamos utilizar as simulações de ondas da biblioteca [Fatiando a Terra](http://www.fatiando.org). Essas simulações utilizam o [método de diferenças finitas](http://en.wikipedia.org/wiki/Finite_difference_method) para calcular soluções da equação da onda.\n",
"\n",
"As tarefas abaixo acompanham as questões que vocês devem responder. Usem as simulações abaixo para te ajudar a responder as perguntas."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preparação\n",
"\n",
"Rode a célula abaixo para carregar as componentes necessárias para fazer as simulações. Não se preocupe se aparecer um `:0: FutureWarning: IPython widgets are experimental and may change in the future.` abaixo. Isso é consequência de utilizar tecnologia de ponta."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
":0: FutureWarning: IPython widgets are experimental and may change in the future.\n"
]
}
],
"source": [
"%matplotlib inline\n",
"from __future__ import division\n",
"import numpy as np\n",
"from fatiando import utils\n",
"from fatiando.seismic.wavefd import Ricker, ElasticPSV, ElasticSH\n",
"from fatiando.vis import mpl\n",
"import fatiando"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.3-219-gb6b00ac\n"
]
}
],
"source": [
"print(fatiando.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Ondas Love"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"shape = (300, 1000)\n",
"spacing = 500\n",
"extent = [0, shape[1]*spacing, shape[0]*spacing, 0]\n",
"densidade = np.ones(shape)*2600\n",
"velocidade = np.ones(shape)*4000\n",
"l1 = 40e3//spacing\n",
"densidade[l1:,:] = 3500\n",
"velocidade[l1:,:] = 5000"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Agora vamos criar o nosso simulador de ondas."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sim1 = ElasticSH(velocidade, densidade, spacing=spacing, taper=0.005)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"e colocar uma fonte explosiva na superfície."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sim1.add_point_source((20e3//spacing, 50e3//spacing), Ricker(5, 1, 1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Agora que temos nossa simulação pronta, rode a célcula abaixo para avançar a simulação 400 passos no tempo."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"|##################################################|100% Ran 2000 iterations in 100.698 seconds."
]
}
],
"source": [
"sim1.run(2000)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim1.animate(every=20, embed=True, dpi=50, cutoff=0.5)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [
{
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],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim1.explore(every=20)"
]
}
],
"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
}