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PriemeraParte

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format: jb-book
root: intro
parts:
- caption: TutorialsMuysc
chapters:
- file: start/your-first-book
sections:
- file: starting/install
- file: starting/coordinates
- file: start/build
- file: start/new-file
- file: start/publish
- file: start/example-book
- file: tutorials/references
- caption: Tutorials
chapters:
- file: start/your-first-book
......
docs/images/FujiStructure.jpg

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docs/images/MachinStructure.jpg

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docs/images/Modules.jpg

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docs/images/cerroGoogle.PNG

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# First map with MUYSC
In MUYSC, we utilize decimal coordinates to accurately locate objects, and for enhanced precision in studying specific zones, we recommend using Google Earth.
```md
![Earth](images/cerroGoogle.PNG)
```
The initial step involves creating a polygon surrounding the object of interest. Subsequently, place two points along a diagonal of the polygon, and input the obtained geographic coordinates into the MUYSC format. This will result in a quadrilateral representing the study area.
:::{note}
If you put the **coordinates** in other format it will show a different zone than the desired.
:::
Running this code you will visualize the structure of Cerro Machín:
:::{code-cell}
# CERRO MACHÍN ESTRUCTURA
regionPoints = [4.466944, 4.500833, -75.404720, -75.372694, "CERRO MACHÍN"]
a = MuyscImprove.Mute(regionPoints,80,srtm1_data, "Greens")
a.elevation()
a.plot_structure()
:::
The following illustrates an example of how MUYSC can display the geological structure:
```md
![Machin](images/MachinStructure.jpg)
```
Now let's see other part in the world
:::{code-cell}
# MONTE FUJI ESTRUCTURA
regionPoints = [35.398710, 35.327432, 138.799493, 138.683672, "MONTE FUJI"]
a = MuyscImprove.Mute(regionPoints,80,srtm1_data, "Greens")
a.elevation()
a.plot_structure()
:::
The following illustrates an example of how MUYSC can display the geological structure:
```md
![Machin](images/FujiStructure.jpg)
```
\ No newline at end of file
---
jupytext:
formats: md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.12
jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
name: python3
---
# Overview
MUYSC, a simulation framework for Muography. Here's a brief summary of the primary elements and stages involved in the creation of a Jupyter Book. For a more comprehensive understanding, refer to the additional pages in this guide.
(start:install)=
## Install Jupyter Book
You can install MUYSC [via `pip`](https://pip.pypa.io/en/stable/):
```bash
pip install MUYSC
```
This will install everything you need to do on end-to-end Muography Simulation.
## Structure
MUYSC, as a simulation software for muography studies, benefits significantly from a modular approach in its design and construction. One of the main reasons for building MUYSC as a modular software is the flexibility this offers in developing and adapting to the changing needs of muography research.
```console
$ MUYSC structure
modules/
├── DownloadTopography
├── RayTracing
├── Muography
└── Telescope parameters
```
In MUYSC you only need to know the geographic coordinates of the study object. in the section building your first map you will find the way of we study objects with google earth.
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