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docs/quickstart.md
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## Installation
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See the [installation guide](installation.md).
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## Test your installation
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First, see if PG-RAD is available on your system by typing
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```
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pgrad --help
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```
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You should get output along the lines of
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```
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usage: pg-rad [-h] ...
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Primary Gamma RADiation landscape tool
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...
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```
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If you get something like `pgrad: command not found`, please consult the [installation guide](installation.md).
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You can run a quick test scenario as follows:
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```
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pgrad --test
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```
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This should produce a plot of a scenario containing a single point source and a path.
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## Running PG-RAD
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In order to use the CLI for your own simulations, you need to provide a *config file*. To run with your config, run
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```
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pgrad --config path/to/my_config.yml
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```
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where `path/to/my_config.yml` points to your config file.
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## Example configs
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The easiest way is to take one of these example configs, and adjust them as needed. Alternatively, there is a detailed guide on how to write your own config file [here](config-spec.md).
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=== "Example 1"
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The position can be defined relative to the path. `along_path` means at what distance traveled along the path the source is found. If the path is 200 meters long and `along_path` is `100` then the source is halfway along the path. `dist_from_path` is the distance in meters from the path. `side` is the side of the path the source is located. This is relative to the direction the path is traveled.
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``` yaml
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name: Example 1
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speed: 13.89
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acquisition_time: 1
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path:
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file: path/to/exp_coords.csv
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east_col_name: East
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north_col_name: North
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sources:
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source1:
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activity_MBq: 1000
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isotope: CS137
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position:
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along_path: 100
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dist_from_path: 50
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side: left
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detector:
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name: dummy
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is_isotropic: True
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```
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=== "Example 2"
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The position can also just be defined with (x,y,z) coordinates.
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``` yaml
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name: Example 2
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speed: 13.89
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acquisition_time: 1
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path:
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file: path/to/exp_coords.csv
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east_col_name: East
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north_col_name: North
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sources:
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source1:
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activity_MBq: 1000
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isotope: CS137
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position: [104.3, 32.5, 0]
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source2:
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activity_MBq: 100
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isotope: CS137
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position: [0, 0, 0]
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detector:
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name: dummy
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is_isotropic: True
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```
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=== "Example 3"
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This is an example of a procedural path with random apportionment of total length and random angles being assigned to turns. The parameter `alpha` is optional, and is related to randomness. A higher value leads to more uniform apportionment of lengths and a lower value to more random apportionment. More information about `alpha` can be found [here](pg-rad-config-spec.md).
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``` yaml
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name: Example 3
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speed: 8.33
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acquisition_time: 1
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path:
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length: 1000
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segments:
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- straight
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- turn_left
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- straight
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alpha: 100
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sources:
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source1:
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activity_MBq: 1000
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isotope: CS137
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position: [0, 0, 0]
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detector:
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name: dummy
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is_isotropic: True
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```
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=== "Example 4"
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This is an example of a procedural path that is partially specified. Note that turn_left now is a key for the corresponding angle of 45 degrees. The length is still divided randomly
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``` yaml
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name: Example 4
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speed: 8.33
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acquisition_time: 1
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path:
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length: 1000
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segments:
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- straight
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- turn_left: 45
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- straight
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sources:
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source1:
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activity_MBq: 1000
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isotope: CS137
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position: [0, 0, 0]
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detector:
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name: dummy
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is_isotropic: True
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```
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=== "Example 5"
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This is an example of a procedural path that is fully specified. See how length is now a list matching the length of the segments.
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``` yaml
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name: Example 5
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speed: 8.33
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acquisition_time: 1
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path:
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length:
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- 400
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- 200
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- 400
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segments:
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- straight
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- turn_left: 45
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- straight
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sources:
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source1:
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activity_MBq: 1000
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isotope: CS137
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position: [0, 0, 0]
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detector:
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name: dummy
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is_isotropic: True
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```
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