1
0
Fork 0
mirror of https://github.com/gwm17/Mask.git synced 2024-11-22 18:28:51 -05:00

Fix naming convention on executables: MaskApp->Kinematics, DetectEff->Detectors. Update README

This commit is contained in:
Gordon McCann 2022-08-30 10:34:16 -04:00
parent 2c2a24fd1e
commit 15020355a6
6 changed files with 27 additions and 30 deletions

View File

@ -1,8 +1,8 @@
# MASK: Monte cArlo Simulation of Kinematics # Mask: Monte cArlo Simulation of Kinematics
MASK is a Monte Carlo simulation of reaction kinematics for use detector systems at Florida State University. Mask is a Monte Carlo simulation of reaction kinematics for use detector systems at Florida State University.
MASK is capable of simulating multi-step kinematic reaction-decay sequences, storing data in ROOT Trees, after which the kinematic data can be fed to a detector geometry for efficiency testing. Currently geometries for ANASEN and SABRE are included in the code. Mask is capable of simulating multi-step kinematic reaction-decay sequences, storing data in ROOT Trees, after which the kinematic data can be fed to a detector geometry for efficiency testing. Currently geometries for ANASEN and SABRE are included in the code.
## Building MASK ## Building Mask
Dowload the repository from github. CMake is use to build the project; in most environments you can build Mask using the following methods: Dowload the repository from github. CMake is use to build the project; in most environments you can build Mask using the following methods:
- `mkdir build` - `mkdir build`
- `cd build` - `cd build`
@ -14,7 +14,7 @@ Executables will be installed to the repostiory's `bin` directory. Libraries wil
By default Mask builds for release. To build for debug replace `cmake ..` with `cmake -DCMAKE_BUILD_TYPE=Debug ..`. Mask uses CMake to find the installed ROOT libraries and headers. By default Mask builds for release. To build for debug replace `cmake ..` with `cmake -DCMAKE_BUILD_TYPE=Debug ..`. Mask uses CMake to find the installed ROOT libraries and headers.
## Using the kinematics simulation ## Using the kinematics simulation
By default MASK is capable of simulating reactions of up to three steps. Here is a brief outline of each type: By default Mask is capable of simulating reactions of up to three steps. Here is a brief outline of each type:
0. A pure decay involves a "target" decaying into an ejectile and residual. It is assumed isotropic by default; any other case will require the modification of the code. 0. A pure decay involves a "target" decaying into an ejectile and residual. It is assumed isotropic by default; any other case will require the modification of the code.
1. A single step reaction involves a target being hit by a projectile and emitting an ejectile and a residual. It can incorporate all of the input file sampling parameters. 1. A single step reaction involves a target being hit by a projectile and emitting an ejectile and a residual. It can incorporate all of the input file sampling parameters.
@ -23,9 +23,9 @@ By default MASK is capable of simulating reactions of up to three steps. Here is
For decays, a specific angular distribution can be given as input as a text file with values of coefficiencts of a Legendre polynomial series. Examples can be found in the `./etc` directory, including an isotropic case. It is assumed that the decays in the center-of-mass frame are isotropic in phi (i.e. m=0). Decay1 corresponds to the first decay, if there are multiple steps, Decay2 to the second. If there are no decays, these parameters are not used (or if only one decay, Decay2_AngularMomentum is not used). The input file requires that the user include target information, which will be used to calculate energy loss for all of the reactants and reaction products. The energy loss through materials is calculated using the `catima` library (found in `src/vendor`), which is a C/C++ interface to the `atima` library (the same energy loss methods used by LISE). The target can contain layers, and each layer can be composed of a compound of elements with a given stoichiometry. If the user wishes to not include energy loss in the kinematics, simply give all target layers a thickness of 0. Note that more layers and more thickness = more time spent calculating energy loss. These energy loss methods are only applicable for solid targets, and should not be applied to gas or liquid targets. Energy loss calculations have a stated uncertainty of approximately five percent. For decays, a specific angular distribution can be given as input as a text file with values of coefficiencts of a Legendre polynomial series. Examples can be found in the `./etc` directory, including an isotropic case. It is assumed that the decays in the center-of-mass frame are isotropic in phi (i.e. m=0). Decay1 corresponds to the first decay, if there are multiple steps, Decay2 to the second. If there are no decays, these parameters are not used (or if only one decay, Decay2_AngularMomentum is not used). The input file requires that the user include target information, which will be used to calculate energy loss for all of the reactants and reaction products. The energy loss through materials is calculated using the `catima` library (found in `src/vendor`), which is a C/C++ interface to the `atima` library (the same energy loss methods used by LISE). The target can contain layers, and each layer can be composed of a compound of elements with a given stoichiometry. If the user wishes to not include energy loss in the kinematics, simply give all target layers a thickness of 0. Note that more layers and more thickness = more time spent calculating energy loss. These energy loss methods are only applicable for solid targets, and should not be applied to gas or liquid targets. Energy loss calculations have a stated uncertainty of approximately five percent.
To run MASK simply do the following from the MASK repository: To run Mask simply do the following from the Mask repository:
`./bin/MaskApp input.txt` `./bin/Kinematics input.txt`
Input.txt can be replaced by any text file with the correct format. Input.txt can be replaced by any text file with the correct format.
@ -34,14 +34,14 @@ Detector geometry is encoded using ROOT math libraries in the `src/Detectors` fo
To choose which detector scheme is run, modify the main function in `src/Detectors/main.cpp`. The included geometries also have options to do an internal geometry consistency check and print out coordinates for drawing the detector arrays, which can be useful for testing. To choose which detector scheme is run, modify the main function in `src/Detectors/main.cpp`. The included geometries also have options to do an internal geometry consistency check and print out coordinates for drawing the detector arrays, which can be useful for testing.
To run DetEff use the format To run Detectors use the format
`./bin/DetEff <kinematics_datafile> <new_detection_datafile> <new_detection_statsfile>` `./bin/Detectors <kinematics_datafile> <new_detection_datafile> <new_detection_statsfile>`
where the detection datafile contains all of the kinematics data as well as information about which particles are detected and the statsfile is a text file containing efficiency statistics. where the detection datafile contains all of the kinematics data as well as information about which particles are detected and the statsfile is a text file containing efficiency statistics.
## Data visualization ## Data visualization
All data is saved as ROOT trees of std::vectors of Mask::Nucleus classes. To enable this, a ROOT dictionary is generated and linked into a shared library found in the `lib` directory of the repository. This allows the user to link to the shared library for accessing and analyzing the data generated by MASK. All data is saved as ROOT trees of std::vectors of Mask::Nucleus classes. To enable this, a ROOT dictionary is generated and linked into a shared library found in the `lib` directory of the repository. This allows the user to link to the shared library for accessing and analyzing the data generated by Mask.
Mask also provides a default visualization tool called RootPlot. RootPlot is run as Mask also provides a default visualization tool called RootPlot. RootPlot is run as

View File

@ -1,7 +1,7 @@
add_executable(DetectEff) add_executable(Detectors)
target_include_directories(DetectEff PUBLIC ${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/..) target_include_directories(Detectors PUBLIC ${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/..)
target_sources(DetectEff PUBLIC target_sources(Detectors PUBLIC
AnasenDeadChannelMap.cpp AnasenDeadChannelMap.cpp
AnasenDeadChannelMap.h AnasenDeadChannelMap.h
AnasenEfficiency.cpp AnasenEfficiency.cpp
@ -20,10 +20,8 @@ target_sources(DetectEff PUBLIC
StripDetector.h StripDetector.h
) )
target_link_libraries(DetectEff target_link_libraries(Detectors
MaskDict
Mask Mask
catima
) )
set_target_properties(DetectEff PROPERTIES RUNTIME_OUTPUT_DIRECTORY ${MASK_BINARY_DIR}) set_target_properties(Detectors PROPERTIES RUNTIME_OUTPUT_DIRECTORY ${MASK_BINARY_DIR})

View File

@ -0,0 +1,12 @@
add_executable(Kinematics)
target_include_directories(Kinematics PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/..)
target_sources(Kinematics PUBLIC
main.cpp
)
target_link_libraries(Kinematics
Mask
)
set_target_properties(Kinematics PROPERTIES RUNTIME_OUTPUT_DIRECTORY ${MASK_BINARY_DIR})

View File

@ -1,12 +0,0 @@
add_executable(MaskApp)
target_include_directories(MaskApp PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/..)
target_sources(MaskApp PUBLIC
main.cpp
)
target_link_libraries(MaskApp
Mask
)
set_target_properties(MaskApp PROPERTIES RUNTIME_OUTPUT_DIRECTORY ${MASK_BINARY_DIR})

View File

@ -12,7 +12,6 @@ target_sources(RootPlot PUBLIC
) )
target_link_libraries(RootPlot target_link_libraries(RootPlot
MaskDict
Mask Mask
${ROOT_LIBRARIES} ${ROOT_LIBRARIES}
) )