add: simulation result, Particle Definition;
change: model format; add: template class for PrimaryGeneratorAction; add: random algorithm in PrimaryGeneratorAction;
This commit is contained in:
parent
3b2b20209d
commit
f09c1d4407
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@ -5,9 +5,9 @@ project(DESCSS)
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option(WITH_GEANT4_UIVIS "Build example with Geant4 UI and Vis drivers" ON)
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if(WITH_GEANT4_UIVIS)
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find_package(Geant4 REQUIRED ui_all vis_all)
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find_package(Geant4 REQUIRED ui_all vis_all)
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else()
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find_package(Geant4 REQUIRED)
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find_package(Geant4 REQUIRED)
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endif()
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include(${Geant4_USE_FILE})
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@ -20,7 +20,10 @@ add_executable(DESCSS main.cpp ${sources} ${headers})
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target_link_libraries(DESCSS ${Geant4_LIBRARIES})
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set(DESCSS_SCRIPTS
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debug.mac
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electron.mac
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vis.mac
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assets/model.txt
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)
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foreach(_script ${DESCSS_SCRIPTS})
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@ -105,7 +105,12 @@
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"wcsv_ntuple": "cpp",
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"bufobj": "cpp",
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"aidas": "cpp",
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"element": "cpp"
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"element": "cpp",
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"colorf": "cpp",
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"cid": "cpp",
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"mem": "cpp",
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"sout": "cpp",
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"typedefs": "cpp"
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}
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}
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}
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89
README.md
89
README.md
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@ -108,7 +108,7 @@ $$
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两者同时进行拟合与比较，同时考虑简洁性，除`H`以外，其余元素均采用双指数模型，`H`采用简化模型。
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#### 俘获辐射带
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1. 电子[^5]
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1. 电子[^5]
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在轨道较高（$L>2.5$）的内带中，电子能谱中有$\sim64\%$符合指数分布，$\sim4\%$符合幂律分布。
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但在本例中，轨道较低（$L\sim1.06$），因此使用指数模型$j = j_0e^{-\frac{E}{E_0}}$和幂律模型$j=j_0E^{-\alpha}$进行拟合，随后使用`Origin Lab`对两者进行`BIC test`，最终选用指数模型$j_0=1.333680\times10^6,\ E_0=0.0824$。
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@ -124,7 +124,7 @@ $$
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<div align=center><img src="docs/ExFit-trapped-electron.png" style="max-width: 80%;"><br /></div>
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2. 质子
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2. 质子
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与电子保持一致，幂律模型修改为$j=j_0(E-\beta)^{-\alpha}$，进行`BIC test`，最终选用幂律模型$j_0=559.76377,\ \alpha=2.40873,\ \beta=-1.53424$。
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<div align=center>
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@ -154,34 +154,34 @@ $$
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|:--------:|:--------------------------------------------------------------------:|:-------:|:-----------------------:|:-----------------------:|:-----------------------:|:-------:|:-----------:|
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| $e^{-}$ | $j=j_0e^{-\frac{E}{E_0}}$ | 0.98107 | 0.1 | 10 | 9.23242E+11 | 923242 | 999999.8096 |
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| `p` | $j=j_0(E-\beta)^{-\alpha}$ | 0.99883 | 50 | 1000 | 42853994.15 | 100000 | 428.5399415 |
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| `H` | $\frac{C_1\beta^{\alpha-1}}{pc}\left(\frac{pc}{pc+C_2}\right)^{C_3}$ | 0.98915 | 200 | 100000 | 12854310.92 | 100000 | 128.5431092 |
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| `He` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 200 | 100000 | 1718828.12 | 100000 | 17.1882812 |
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| `Li` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99755 | 200 | 100000 | 12982.36284 | 100000 | 0.129823628 |
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| `Be` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99708 | 200 | 100000 | 6687.159271 | 100000 | 0.066871593 |
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| `B` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99569 | 200 | 100000 | 17093.65985 | 100000 | 0.170936599 |
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| `C` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 200 | 100000 | 52245.07239 | 100000 | 0.522450724 |
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| `N` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98892 | 200 | 100000 | 13564.66838 | 100000 | 0.135646684 |
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| `O` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 200 | 100000 | 48807.93662 | 100000 | 0.488079366 |
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| `F` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99323 | 200 | 100000 | 1122.681148 | 100000 | 0.011226811 |
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| `Ne` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99014 | 200 | 100000 | 8065.236798 | 100000 | 0.080652368 |
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| `Na` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99263 | 200 | 100000 | 1865.503552 | 100000 | 0.018655036 |
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| `Mg` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98972 | 200 | 100000 | 10928.24228 | 100000 | 0.109282423 |
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| `Al` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99217 | 200 | 100000 | 1938.943418 | 100000 | 0.019389434 |
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| `Si` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98873 | 200 | 100000 | 8262.870777 | 100000 | 0.082628708 |
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| `P` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99183 | 200 | 100000 | 413.5749377 | 100000 | 0.004135749 |
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| `S` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98873 | 200 | 100000 | 1659.707 | 100000 | 0.01659707 |
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| `Cl` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99087 | 200 | 100000 | 371.7198798 | 100000 | 0.003717199 |
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| `Ar` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99432 | 200 | 100000 | 751.2576633 | 100000 | 0.007512577 |
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| `K` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98963 | 200 | 100000 | 466.3178791 | 100000 | 0.004663179 |
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| `Ca` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98935 | 200 | 100000 | 1161.134206 | 100000 | 0.011611342 |
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| `Sc` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99251 | 200 | 100000 | 231.3722059 | 100000 | 0.002313722 |
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| `Ti` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.9934 | 200 | 100000 | 828.6605823 | 100000 | 0.008286606 |
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| `V` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99424 | 200 | 100000 | 403.8859746 | 100000 | 0.00403886 |
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| `Cr` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99313 | 200 | 100000 | 783.4909673 | 100000 | 0.00783491 |
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| `Mn` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99385 | 200 | 100000 | 570.5548534 | 100000 | 0.005705549 |
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| `Fe` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99351 | 200 | 100000 | 6024.476681 | 100000 | 0.060244767 |
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| `Co` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99426 | 200 | 100000 | 20.89166947 | 100000 | 0.000208917 |
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| `Ni` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99231 | 200 | 100000 | 292.8131737 | 100000 | 0.002928132 |
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| `H` | $\frac{C_1\beta^{\alpha-1}}{pc}\left(\frac{pc}{pc+C_2}\right)^{C_3}$ | 0.98915 | 220 | 100000 | 12854310.92 | 100000 | 128.5431092 |
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| `He` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 220 | 100000 | 1720188.128 | 100000 | 17.20188128 |
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| `Li` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99755 | 220 | 100000 | 12988.97006 | 100000 | 0.129889701 |
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| `Be` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99708 | 220 | 100000 | 6691.176848 | 100000 | 0.066911768 |
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| `B` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99569 | 220 | 100000 | 17105.83698 | 100000 | 0.17105837 |
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| `C` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 220 | 100000 | 52286.55444 | 100000 | 0.522865544 |
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| `N` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98892 | 220 | 100000 | 13576.5542 | 100000 | 0.135765542 |
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| `O` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98936 | 220 | 100000 | 48846.63508 | 100000 | 0.488466351 |
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| `F` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99323 | 220 | 100000 | 1123.492483 | 100000 | 0.011234925 |
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| `Ne` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99014 | 220 | 100000 | 8071.585382 | 100000 | 0.080715854 |
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| `Na` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99263 | 220 | 100000 | 1866.8702 | 100000 | 0.018668702 |
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| `Mg` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98972 | 220 | 100000 | 10936.4597 | 100000 | 0.109364597 |
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| `Al` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99217 | 220 | 100000 | 1940.381408 | 100000 | 0.019403814 |
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| `Si` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98873 | 220 | 100000 | 8269.257173 | 100000 | 0.082692572 |
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| `P` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99183 | 220 | 100000 | 413.8897994 | 100000 | 0.004138898 |
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| `S` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98873 | 220 | 100000 | 1660.990128 | 100000 | 0.016609901 |
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| `Cl` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99087 | 220 | 100000 | 372.0271181 | 100000 | 0.003720271 |
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| `Ar` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99432 | 220 | 100000 | 751.7977189 | 100000 | 0.007517977 |
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| `K` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98963 | 220 | 100000 | 466.7118907 | 100000 | 0.004667119 |
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| `Ca` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.98935 | 220 | 100000 | 1161.900661 | 100000 | 0.011619007 |
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| `Sc` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99251 | 220 | 100000 | 231.5541271 | 100000 | 0.002315541 |
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| `Ti` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.9934 | 220 | 100000 | 829.2810844 | 100000 | 0.008292811 |
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| `V` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99424 | 220 | 100000 | 404.1724078 | 100000 | 0.004041724 |
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| `Cr` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99313 | 220 | 100000 | 784.0902938 | 100000 | 0.007840903 |
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| `Mn` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99385 | 220 | 100000 | 570.9732265 | 100000 | 0.005709732 |
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| `Fe` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99351 | 220 | 100000 | 6028.059963 | 100000 | 0.0602806 |
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| `Co` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99426 | 220 | 100000 | 20.90356212 | 100000 | 0.000209036 |
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| `Ni` | $C_1e^{-C_2E}(1-e^{-C_3E+C_4})$ | 0.99231 | 220 | 100000 | 292.9961042 | 100000 | 0.002929961 |
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</div>
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@ -212,17 +212,9 @@ $$
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2. `Acceptance-Rejection Method`（`ARM`）
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对于一个在$[a, b]$的分布，设其概率密度函数(PDF)为$F(x)$，首先生成一个均匀分布随机数$X \sim U(x_{min}, x_{max})$，随后独立生成另一个均匀分布随机数$Y \sim U(y_{min}, y_{max})$，如果$Y \le F(X)$，则保留$X$，保留下来的$X$满足$F(x)$的分布。
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`ITM`也被称为反演法，关键是需要获取累积分布函数的逆函数，效率较高；`ARM`本质上是一种模拟算法，效率较低，但是适应性更广，特别是对于一些复杂分布函数。`GCR`质子和俘获辐射粒子的模型有三类，其中`GCR`质子的函数较为简单，其余两类较为复杂，因此分别采用`ITM`和`ARM`。
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`ITM`也被称为反演法，关键是需要获取累积分布函数的逆函数，效率较高；`ARM`本质上是一种模拟算法，效率很低，但是适应性更广，特别是对于一些复杂分布函数。
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<div align=center>
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| $F(E)$ | $\int F(E)\mathrm{d}E$ | $C(x)=\int_a^xF(u)\mathrm{d}u$ | $C^{-1}(y)$ |
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|:--------------------------:|:------------------------------------------:|:----------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------:|
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| $j=j_0(E-\beta)^{-\alpha}$ | $\frac{j_0(E-\beta)^{1-\alpha}}{1-\alpha}$ | $\frac{j_0}{1-\alpha}\left((x-\beta)^{1-\alpha}-(a-\beta)^{1-\alpha}\right)$ | $\sqrt[1-\alpha]{\frac{(y+C)(1-\alpha)}{j_0}}+\beta,\ C=\frac{j_0(a-\beta)^{1-\alpha}}{1-\alpha}$ |
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</div>
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1. 位置生成
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1. 位置生成
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而发射位置要求在球面上均匀分布。由于球面的面积元$\mathrm{d}\Omega=\sin\theta\mathrm{d}\phi\mathrm{d}\theta$是$\theta$的函数，如果位置向量$\vec{r}(\rho, \phi, \theta)$的$\phi$和$\theta$是在$\phi\in[0, 2\pi)$和$\theta\in[0, \pi]$上均匀分布，选取的点将会在两极较为密集（即），因此可以采用`ITM`方法生成$\theta$：$C^{-1}(z)=\cos^{-1}(z)$。
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```c
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double u = rand();
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@ -234,7 +226,7 @@ $$
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double z = rho * cos(theta);
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```
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2. 发射方向
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2. 发射方向
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在`Geant4`中，假定粒子的位置矢量为$\vec{r}$，则以$\vec{r}$反方向作为$z$轴正方向建立右手坐标系，粒子的指向为:
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$$
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P_x = -\sin\theta\cos\phi \\
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@ -243,6 +235,21 @@ P_z = -\cos\theta
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$$
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为了保证发射方向是朝向球面内，因此需要限制$\theta$的最大角度为$90^{\circ}$。
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3. 能量
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* `GCR`质子的函数较为简单，采用`ITM`；（下表中$j_0$已经归一化）
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<div align=center>
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| $F(E)$ | $\int F(E)\mathrm{d}E$ | $C(x)=\int_a^xF(u)\mathrm{d}u$ | $C^{-1}(y)$ |
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|:--------------------------:|:------------------------------------------:|:----------------------------------------------------------------------------:|:---------------------------------------------------------------------------------------------------:|
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| $j=j_0(E-\beta)^{-\alpha}$ | $\frac{j_0(E-\beta)^{1-\alpha}}{1-\alpha}$ | $\frac{j_0}{1-\alpha}\left((x-\beta)^{1-\alpha}-(a-\beta)^{1-\alpha}\right)$ | $\sqrt[1-\alpha]{\frac{(y+C)(1-\alpha)}{j_0}}+\beta,\ C=\frac{j_0(a-\beta)^{1-\alpha}}{1-\alpha}$ |
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</div>
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<div align=center><img src="docs/simu-tp.png" style="max-width: 50%;"></div>
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* 俘获质子的函数较为复杂，使用`ARM`生成`100000`个随机数需要`12`分钟，效率满足要求；
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<div align=center><img src="docs/simu-gcrp.png" style="max-width: 50%;"></div>
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* 其余俘获辐射粒子同样使用`ARM`，生成`100000`个随机数需要`4.5`分钟。
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<div align=center><img src="docs/simu-gcri.png" style="max-width: 50%;"></div>
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## 空间站建模
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1. 尺寸与分区[^6]
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<div align=center><img src="docs/size.webp" style="max-width: 50%;"></div>
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@ -1,37 +1,29 @@
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# GCR
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125.89223, 44.00673, -0.000460574, 112356
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0.01815, 0.000297726, 0.00184, 0.49271
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0.000184794, 0.000389118, 0.0021, 0.49406
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0.0000953693, 0.000386546, 0.002, 0.48222
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0.000245835, 0.000383147, 0.00182, 0.45495
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0.000551454, 0.000297607, 0.00184, 0.49310
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0.000177397, 0.000347376, 0.00161, 0.43464
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0.000515269, 0.000297659, 0.00184, 0.49294
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0.0000121025, 0.000307953, 0.00208, 0.53260
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0.0000855093, 0.000299579, 0.00188, 0.50022
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0.0000200236, 0.000306074, 0.00204, 0.52582
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0.000107752, 0.000283677, 0.00197, 0.52149
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0.0000207575, 0.000304806, 0.00201, 0.52089
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0.0000809795, 0.000281074, 0.00191, 0.51232
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0.00000442291, 0.000303868, 0.00198, 0.51717
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0.0000162654, 0.000281067, 0.00191, 0.51235
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0.00000463438, 0.00033962, 0.00178, 0.46921
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0.00000956898, 0.000351681, 0.00199, 0.49986
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0.00000578307, 0.000336363, 0.00172, 0.45907
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0.0000109853, 0.000266092, 0.00154, 0.42213
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0.00000291072, 0.000344777, 0.00187, 0.48297
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0.0000104814, 0.000348052, 0.00193, 0.49105
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0.0000051388, 0.000351427, 0.00199, 0.49888
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0.0000098941, 0.000346998, 0.00191, 0.48874
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0.00000723814, 0.000349723, 0.00196, 0.49543
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0.0000592702, 0.000279954, 0.00175, 0.45382
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0.00000020753, 0.000283367, 0.0018, 0.46005
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0.00000284117, 0.000275123, 0.00168, 0.44440
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# Trapped Electron
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# j0 E0
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1333680 0.0824
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# Trapped Proton
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# j0 alpha beta
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559.76377 2.40873 −1.53424
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559.76377, -1.53424, 2.40873, 1.5156509
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125.89223, 44.00673, -0.000460574, 112356, 361.781666
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0.01815, 0.000297726, 0.00184, 0.49271, 48.4143048
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0.000184794, 0.000389118, 0.0021, 0.49406, 0.3655716
|
||||
0.0000953693, 0.000386546, 0.002, 0.48222, 0.1883217
|
||||
0.000245835, 0.000383147, 0.00182, 0.45495, 0.4814399
|
||||
0.000551454, 0.000297607, 0.00184, 0.49310, 1.4715932
|
||||
0.000177397, 0.000347376, 0.00161, 0.43464, 0.382109
|
||||
0.000515269, 0.000297659, 0.00184, 0.49294, 1.3747775
|
||||
0.0000121025, 0.000307953, 0.00208, 0.53260, 0.0316204
|
||||
0.0000855093, 0.000299579, 0.00188, 0.50022, 0.2271729
|
||||
0.0000200236, 0.000306074, 0.00204, 0.52582, 0.0525426
|
||||
0.000107752, 0.000283677, 0.00197, 0.52149, 0.3078042
|
||||
0.0000207575, 0.000304806, 0.00201, 0.52089, 0.0546116
|
||||
0.0000809795, 0.000281074, 0.00191, 0.51232, 0.2327364
|
||||
0.00000442291, 0.000303868, 0.00198, 0.51717, 0.0116488
|
||||
0.0000162654, 0.000281067, 0.00191, 0.51235, 0.0467482
|
||||
0.00000463438, 0.00033962, 0.00178, 0.46921, 0.0104706
|
||||
0.00000956898, 0.000351681, 0.00199, 0.49986, 0.0211592
|
||||
0.00000578307, 0.000336363, 0.00172, 0.45907, 0.0131355
|
||||
0.0000109853, 0.000266092, 0.00154, 0.42213, 0.0327014
|
||||
0.00000291072, 0.000344777, 0.00187, 0.48297, 0.006517
|
||||
0.0000104814, 0.000348052, 0.00193, 0.49105, 0.0233399
|
||||
0.0000051388, 0.000351427, 0.00199, 0.49888, 0.0113753
|
||||
0.0000098941, 0.000346998, 0.00191, 0.48874, 0.022068
|
||||
0.00000723814, 0.000349723, 0.00196, 0.49543, 0.0160699
|
||||
0.0000592702, 0.000279954, 0.00175, 0.45382, 0.1696584
|
||||
0.00000020753, 0.000283367, 0.0018, 0.46005, 0.0005883
|
||||
0.00000284117, 0.000275123, 0.00168, 0.44440, 0.0082463
|
||||
|
|
|
|||
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|
After Width: | Height: | Size: 23 KiB |
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|
After Width: | Height: | Size: 27 KiB |
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|
After Width: | Height: | Size: 22 KiB |
|
|
@ -3,12 +3,15 @@
|
|||
|
||||
#include "G4VUserActionInitialization.hh"
|
||||
|
||||
extern G4String particleType;
|
||||
|
||||
class ActionInitialization : public G4VUserActionInitialization {
|
||||
public:
|
||||
ActionInitialization();
|
||||
~ActionInitialization() override;
|
||||
|
||||
void Build() const override;
|
||||
void BuildForMaster() const override;
|
||||
void Build() const;
|
||||
};
|
||||
|
||||
#endif
|
||||
|
|
|
|||
|
|
@ -0,0 +1,69 @@
|
|||
#ifndef DESCSS_Particle_h
|
||||
#define DESCSS_Particle_h
|
||||
|
||||
#include "G4IonTable.hh"
|
||||
#include "G4ParticleDefinition.hh"
|
||||
#include "G4ParticleTable.hh"
|
||||
#include "globals.hh"
|
||||
|
||||
class Particle {
|
||||
public:
|
||||
Particle(G4String name, G4int Z, G4int A) {
|
||||
if (Z == 1)
|
||||
ion = G4ParticleTable::GetParticleTable()->FindParticle("proton");
|
||||
else if (Z == 2)
|
||||
ion = G4ParticleTable::GetParticleTable()->FindParticle("alpha");
|
||||
else
|
||||
ion = G4IonTable::GetIonTable()->GetIon(Z, A, 0);
|
||||
this->name = name;
|
||||
this->Z = Z, this->A = A;
|
||||
};
|
||||
void setC1(G4double v) { C1 = v; };
|
||||
void setC2(G4double v) { C2 = v; };
|
||||
void setC3(G4double v) { C3 = v; };
|
||||
void setC4(G4double v) { C4 = v; };
|
||||
void setSum(G4double v) { sum = v; };
|
||||
virtual G4double pdf(G4double E);
|
||||
|
||||
protected:
|
||||
G4ParticleDefinition* ion;
|
||||
G4int Z, A;
|
||||
G4String name;
|
||||
G4double sum;
|
||||
G4double C1, C2, C3, C4;
|
||||
};
|
||||
|
||||
class TProton : public Particle {
|
||||
public:
|
||||
TProton();
|
||||
G4double pdf(G4double E) {
|
||||
G4double C = C1 * pow(50 - C2, 1 - C3) / sum / (1 - C3);
|
||||
return pow(sum * (C + y) * (1 - C3) / C1, 1 / (1 - C3)) + C2;
|
||||
}
|
||||
};
|
||||
|
||||
class GCRProton : public Particle {
|
||||
public:
|
||||
GCRProton();
|
||||
G4double pdf(G4double E) {
|
||||
G4double pc = getPc(E);
|
||||
G4double beta = getBeta(E);
|
||||
return C1 * pow(beta, C2 - 1) * pow(pc / (pc + C3), C4) / pc / sum;
|
||||
}
|
||||
|
||||
private:
|
||||
G4double M = 931.5;
|
||||
G4double getPc(G4double E) { return sqrt(2 * M * E + E * E); }
|
||||
G4double getBeta(G4double E) {
|
||||
G4double pc = getPc(E);
|
||||
return pc / sqrt(M * M + pc * pc);
|
||||
}
|
||||
};
|
||||
|
||||
class GCRIon : public Particle {
|
||||
public:
|
||||
GCRIon();
|
||||
G4double pdf(G4double E) { return C1 * exp(-C2 * E) * (1 - exp(-C3 * E + C4)) / sum; }
|
||||
};
|
||||
|
||||
#endif
|
||||
|
|
@ -1,24 +1,27 @@
|
|||
#ifndef DESCSS_PrimaryGeneratorAction_h
|
||||
#define DESCSS_PrimaryGeneratorAction_h
|
||||
|
||||
#include "G4ParticleGun.hh"
|
||||
#include "G4GeneralParticleSource.hh"
|
||||
#include "G4ParticleGun.hh"
|
||||
#include "G4VUserPrimaryGeneratorAction.hh"
|
||||
#include "globals.hh"
|
||||
|
||||
class G4GeneralParticleSource;
|
||||
class G4ParticleGun;
|
||||
class G4Event;
|
||||
class G4Box;
|
||||
|
||||
template <typename T>
|
||||
class PrimaryGeneratorAction : public G4VUserPrimaryGeneratorAction {
|
||||
public:
|
||||
PrimaryGeneratorAction();
|
||||
|
||||
~PrimaryGeneratorAction();
|
||||
virtual void GeneratePrimaries(G4Event*);
|
||||
const G4GeneralParticleSource* GetParticleGun() const { return fParticleGun; }
|
||||
const T* GetParticleGun() const { return fParticleGun; }
|
||||
|
||||
private:
|
||||
G4GeneralParticleSource* fParticleGun;
|
||||
G4String particleType;
|
||||
T* fParticleGun = nullptr;
|
||||
};
|
||||
|
||||
#endif
|
||||
|
|
|
|||
6
main.cpp
6
main.cpp
|
|
@ -9,9 +9,15 @@
|
|||
#include "G4VisExecutive.hh"
|
||||
#include "QBBC.hh"
|
||||
|
||||
extern G4String particleType;
|
||||
|
||||
int main(int argc, char** argv) {
|
||||
G4UIExecutive* ui = nullptr;
|
||||
if (argc == 1) ui = new G4UIExecutive(argc, argv);
|
||||
if (argc >= 3)
|
||||
particleType = argv[2];
|
||||
else
|
||||
particleType = "TE";
|
||||
|
||||
G4MTRunManager* runManager = new G4MTRunManager;
|
||||
G4VisExecutive* visManager = new G4VisExecutive;
|
||||
|
|
|
|||
|
|
@ -1,8 +1,27 @@
|
|||
#include "ActionInitialization.h"
|
||||
#include "PrimaryGeneratorAction.h"
|
||||
#include <time.h>
|
||||
|
||||
ActionInitialization::ActionInitialization() {}
|
||||
#include "Randomize.hh"
|
||||
|
||||
G4String particleType;
|
||||
|
||||
class G4GeneralParticleSource;
|
||||
class G4ParticleGun;
|
||||
|
||||
ActionInitialization::ActionInitialization() {
|
||||
G4long seed = time(NULL);
|
||||
CLHEP::HepRandom::setTheEngine(new CLHEP::RanecuEngine());
|
||||
CLHEP::HepRandom::setTheSeed(seed);
|
||||
}
|
||||
|
||||
ActionInitialization::~ActionInitialization() {}
|
||||
|
||||
void ActionInitialization::Build() const { SetUserAction(new PrimaryGeneratorAction); }
|
||||
void ActionInitialization::BuildForMaster() const {}
|
||||
|
||||
void ActionInitialization::Build() const {
|
||||
if (particleType == "TE")
|
||||
SetUserAction(new PrimaryGeneratorAction<G4GeneralParticleSource>);
|
||||
else
|
||||
SetUserAction(new PrimaryGeneratorAction<G4ParticleGun>);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -17,8 +17,6 @@ DetectorConstruction::DetectorConstruction() {}
|
|||
|
||||
DetectorConstruction::~DetectorConstruction() {}
|
||||
|
||||
std::ofstream dataFile("F:/Project/Geant4/DESCSS/debug.txt");
|
||||
|
||||
static void ConstructSectionSphere(G4LogicalVolume* fMotherLogical, G4double zBias) {
|
||||
G4double pRadius = 2.8 * m / 2;
|
||||
G4double pRadius2 = 1.2 * m;
|
||||
|
|
@ -255,7 +253,5 @@ G4VPhysicalVolume* DetectorConstruction::Construct() {
|
|||
// 大柱段
|
||||
ConstructSectionBig(logicWorld, 0.815 * m);
|
||||
|
||||
dataFile << logicWorld->GetMass() / kg << std::endl;
|
||||
|
||||
return physicsWorld;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,9 +1,86 @@
|
|||
#include "PrimaryGeneratorAction.h"
|
||||
|
||||
PrimaryGeneratorAction::PrimaryGeneratorAction() {
|
||||
#include "G4PhysicalConstants.hh"
|
||||
#include "G4SystemOfUnits.hh"
|
||||
#include "Randomize.hh"
|
||||
|
||||
PrimaryGeneratorAction<G4GeneralParticleSource>::PrimaryGeneratorAction() {
|
||||
fParticleGun = new G4GeneralParticleSource();
|
||||
}
|
||||
|
||||
PrimaryGeneratorAction::~PrimaryGeneratorAction() { delete fParticleGun; }
|
||||
PrimaryGeneratorAction<G4ParticleGun>::PrimaryGeneratorAction() {
|
||||
fParticleGun = new G4ParticleGun();
|
||||
}
|
||||
|
||||
void PrimaryGeneratorAction::GeneratePrimaries(G4Event* e) { fParticleGun->GeneratePrimaryVertex(e); }
|
||||
template <typename T>
|
||||
PrimaryGeneratorAction<T>::~PrimaryGeneratorAction() {
|
||||
delete fParticleGun;
|
||||
}
|
||||
|
||||
std::string line;
|
||||
G4double M = 931.5;
|
||||
G4double C1, C2, C3, C4, sum;
|
||||
std::ifstream modelFile("F:/Project/Geant4/DESCSS/assets/model.txt");
|
||||
|
||||
G4double randomPhi() {
|
||||
G4double v = G4UniformRand();
|
||||
return 2 * pi * v;
|
||||
}
|
||||
|
||||
G4double randomTheta() {
|
||||
G4double u = G4UniformRand();
|
||||
return std::acos(2 * u - 1);
|
||||
}
|
||||
|
||||
G4ThreeVector randomPos(G4double rho) {
|
||||
G4double phi = randomPhi();
|
||||
G4double theta = randomTheta();
|
||||
|
||||
G4double x = rho * std::sin(theta) * std::cos(phi);
|
||||
G4double y = rho * std::sin(theta) * std::sin(phi);
|
||||
G4double z = rho * std::cos(theta);
|
||||
|
||||
return G4ThreeVector(x, y, z);
|
||||
}
|
||||
|
||||
G4ThreeVector randomDir() {
|
||||
G4double phi = randomPhi();
|
||||
G4double theta = randomTheta();
|
||||
|
||||
G4double x = -std::sin(theta) * std::cos(phi);
|
||||
G4double y = -std::sin(theta) * std::sin(phi);
|
||||
G4double z = -std::cos(theta);
|
||||
|
||||
return G4ThreeVector(x, y, z);
|
||||
}
|
||||
|
||||
G4double ITM(G4double Emin, G4double Emax, G4double (*f)(G4double)) {
|
||||
G4double x = G4UniformRand();
|
||||
return (*f)(x);
|
||||
}
|
||||
|
||||
G4double ARM(G4double Emin, G4double Emax, G4double (*f)(G4double)) {
|
||||
G4double x, y;
|
||||
while (true) {
|
||||
x = G4UniformRand() * (Emax - Emin) + Emin;
|
||||
y = G4UniformRand();
|
||||
if (y <= (*f)(x)) break;
|
||||
}
|
||||
return x;
|
||||
}
|
||||
|
||||
void PrimaryGeneratorAction<G4GeneralParticleSource>::GeneratePrimaries(G4Event* e) {
|
||||
fParticleGun->GeneratePrimaryVertex(e);
|
||||
}
|
||||
|
||||
void PrimaryGeneratorAction<G4ParticleGun>::GeneratePrimaries(G4Event* e) {
|
||||
G4double E = 0;
|
||||
G4double R = 15. * m;
|
||||
G4ThreeVector pos = G4ThreeVector(); // randomPos(R);
|
||||
G4ThreeVector dir = G4ThreeVector(); // randomDir();
|
||||
|
||||
fParticleGun->SetParticleEnergy(E);
|
||||
fParticleGun->SetParticlePosition(pos);
|
||||
fParticleGun->SetParticleMomentumDirection(dir);
|
||||
fParticleGun->GeneratePrimaryVertex(e);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,83 @@
|
|||
import math
|
||||
import numpy as np
|
||||
from matplotlib import pyplot as plt
|
||||
|
||||
|
||||
def trap_proton():
|
||||
def pdf(E, C1=559.76377, C2=-1.53424, C3=2.40873, sum=1.51565):
|
||||
return C1 * pow(E - C2, -C3) / sum
|
||||
pdf = np.vectorize(pdf)
|
||||
|
||||
def pdf_int(E, C1=559.76377, C2=-1.53424, C3=2.40873, sum=1.5156509):
|
||||
return C1 * math.pow(E - C2, 1 - C3) / (1 - C3) / sum
|
||||
|
||||
def pdf_sum(E):
|
||||
return pdf_int(E) - pdf_int(50)
|
||||
|
||||
def pdf_inv(y, C1=559.76377, C2=-1.53424, C3=2.40873, sum=1.5156509):
|
||||
return pow(sum * (pdf_int(50) + y) * (1 - C3) / C1, 1 / (1 - C3)) + C2
|
||||
|
||||
with open('debug.txt', 'r') as f:
|
||||
data = f.readlines()
|
||||
data = np.array([float(s) for s in data[0].split(', ')[:-1]])
|
||||
x = np.linspace(50, 1000, 1000)
|
||||
|
||||
plt.plot(x, pdf(x), label="f(x)")
|
||||
plt.hist(data, bins=np.linspace(50, 1000, 500), density=True, histtype='step', label="Simulation")
|
||||
plt.legend()
|
||||
plt.ylabel('Frequency')
|
||||
plt.xlabel('Energy/(MeV)')
|
||||
plt.savefig('docs/simu-tp.png', bbox_inches='tight')
|
||||
|
||||
|
||||
def gcr_proton():
|
||||
M = 931.5
|
||||
|
||||
def get_pc(E):
|
||||
return math.sqrt(2 * M * E + E * E)
|
||||
|
||||
def get_beta(E):
|
||||
pc = get_pc(E)
|
||||
return pc / math.sqrt(M * M + pc * pc)
|
||||
|
||||
def pdf(E, C1=125.89223, alpha=44.00673, C2=-0.000460574, C3=112356, sum=361.781665965026):
|
||||
pc = get_pc(E)
|
||||
beta = get_beta(E)
|
||||
return C1 * math.pow(beta, alpha - 1) * math.pow(pc / (pc + C2), C3) / pc / sum
|
||||
pdf = np.vectorize(pdf)
|
||||
|
||||
with open('debug.txt', 'r') as f:
|
||||
data = f.readlines()
|
||||
|
||||
data = np.array([float(s) for s in data[0].split(', ')[:-1]])
|
||||
x = np.linspace(220, 1e5, 10000)
|
||||
|
||||
plt.plot(x, pdf(x), label="f(x)")
|
||||
plt.hist(data, bins=np.linspace(220, 1e5, 100), density=True, histtype='step', label="Simulation")
|
||||
plt.legend()
|
||||
plt.ylabel('Frequency')
|
||||
plt.xlabel('Energy/(MeV)')
|
||||
plt.savefig('docs/simu-gcrp.png', bbox_inches='tight')
|
||||
|
||||
|
||||
def gcr_ion():
|
||||
def pdf(E, C1=0.01815, C2=0.000297726, C3=0.00184, C4=0.49271, sum=48.4143048):
|
||||
return C1 * math.exp(-C2 * E) * (1 - math.exp(-C3 * E + C4)) / sum
|
||||
pdf = np.vectorize(pdf)
|
||||
|
||||
with open('debug.txt', 'r') as f:
|
||||
data = f.readlines()
|
||||
data = np.array([float(s) for s in data[0].split(', ')[:-1]])
|
||||
x = np.linspace(220, 1e5, 10000)
|
||||
|
||||
plt.plot(x, pdf(x), label="f(x)")
|
||||
plt.hist(data, bins=np.linspace(220, 1e5, 300), density=True, histtype='step', label="Simulation")
|
||||
plt.legend()
|
||||
plt.ylabel('Frequency')
|
||||
plt.xlabel('Energy/(MeV)')
|
||||
plt.savefig('docs/simu-gcri.png', bbox_inches='tight')
|
||||
|
||||
|
||||
trap_proton()
|
||||
gcr_proton()
|
||||
gcr_ion()
|
||||
Loading…
Reference in New Issue