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V2.0 developing initial

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docs/notebooks/2_focus_example.ipynb 0 → 100644
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%% Cell type:markdown id: tags:
# 观测效应仿真
%% Cell type:markdown id: tags:
观测效应仿真功能包括背景光仿真和宇宙线仿真两部分。
## 宇宙线仿真
使用CosmicRayFrameMaker()类可以生成宇宙线。在仿真中仅考虑由于mu子导致的宇宙线，这类宇宙线例子会在穿过CCD芯片时导致感光，产生长短不一的细线。
程序中假设宇宙线具有均匀且各项同性的分布。宇宙线事件的数目设置为1个事件/秒/平方厘米(参考WFPC2手册)。
能量、宽度、长度等参考Miles et al.2021、Fisher-Levine 2015等文章，分布如下图所示。
另外对于宇宙线沿路径方向的强度，我们也通过FFT的方式增加了随机性。
另外可以通过修改CosmicRayFrameMaker()类中的参数来调整宇宙线的事件几率、长度、宽度、强度分布等，具体参考代码中的注释。
%% Cell type:code id: tags:
``` python
from CpicImgSim import CosmicRayFrameMaker
cr_gen = CosmicRayFrameMaker()
crs = cr_gen.random_CR_parameter(10000, [1024, 1024])
```
%% Cell type:code id: tags:
``` python
flux = []
length = []
angle = []
sigma = []
for cr in crs:
flux.append(cr.flux)
length.append(cr.length)
angle.append(cr.angle)
sigma.append(cr.sigma)
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
plt.figure(figsize=(10, 3))
plt.subplot(1,3,1)
plt.hist(flux, bins=np.linspace(0, 20000, 20))
plt.title('cosmic ray event energy')
plt.xlabel('electron number')
plt.subplot(1,3,2)
plt.hist(length, bins=np.linspace(0, 30, 10), log=True)
plt.title('path length of CRs')
plt.xlabel('pixels')
plt.subplot(1,3,3)
plt.hist(sigma)
plt.title('path width of CRs')
plt.xlabel('pixels')
plt.tight_layout()
```
%% Output
%% Cell type:markdown id: tags:
使用该类的make_cr_frame()方法可以生成宇宙线图像。
该方法包括两个参数，分别为相机芯片尺寸和曝光时间。下面的代码演示了如何生成宇宙线图像。生成的宇宙线图像为一个二维数组，单位为电子数。
图中仿真了分别为30s曝光和300s曝光的两幅宇宙线图像。
%% Cell type:code id: tags:
``` python
def psf_imshow(psf, vmin=1e-8, vmax=0.1):
focal_img = psf.copy()
focal_img = np.maximum(focal_img, vmin)
focal_img = np.minimum(focal_img, focal_img.max()*vmax)
# image_log = np.log10(focal_img)
image_log = focal_img
plt.imshow(image_log, origin='lower', cmap='gray')
plt.figure(figsize=(10, 6))
plt.subplot(1,2,1)
crframe = cr_gen.make_cr_frame([1032, 1056], 30)
psf_imshow(crframe, vmin=0, vmax=0.01)
plt.title('cosmic ray frame 30s')
plt.subplot(1,2,2)
crframe_300 = cr_gen.make_cr_frame([1056, 1032], 300)
psf_imshow(crframe_300, vmin=0, vmax=0.01)
plt.title('cosmic ray frame 300s')
fits.writeto('image_files/cr_frame_30s.fit', crframe, overwrite=True)
```
%% Output
%% Cell type:markdown id: tags:
sky_frame_maker()函数可以生成天空背景图像，输入参数为观测波段、对应波段的星等/平方角秒、焦面比例尺、图像大小。
程序中天空背景光谱按照太阳光谱估计、考虑仪器的整体光电效率。输出为一个二维数组，反应了焦面处的辐照密度，单位为电子数/秒/平方米。
注意需要乘上望远镜通光口径和曝光时间来得到电子数。
%% Cell type:code id: tags:
``` python
from CpicImgSim import sky_frame_maker
area = 3.14 * 100 ** 2
frame = sky_frame_maker('f661', 19, 0.01613, (1024, 1024)) * area
psf_imshow(frame)
plt.title('sky background frame, 19mag/arcsec$^2$@f661')
plt.text(40, 40, f'{frame[1,1]:.3f} photons/pixel/s', color='white')
```
%% Output
Text(40, 40, '0.029 photons/pixel/s')
docs/notebooks/4_camera_example.ipynb 0 → 100644
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docs/tutorials.rst 0 → 100644
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使用教程
===========
仿真程序上手
-------------------------
.. toctree::
:maxdepth: 1
快速开始 </notebooks/0_main_example.ipynb>
程序模块使用说明
----------------------
.. toctree::
:maxdepth: 1
目标仿真模块 </notebooks/1_target_example.ipynb>
焦面模块 </notebooks/2_focus_example.ipynb>
观测效应仿真模块 </notebooks/3_obs_effect.ipynb>
相机仿真模块 </notebooks/4_camera_example.ipynb>
点扩散函数仿真模块 </notebooks/5_psf_example.ipynb>
setup.py
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import setuptools import setuptools
import CpicImgSim
setuptools.setup( setuptools.setup(
name='csst_cpic_sim', name='CpicImgSim',
version='1.0.0', version=CpicImgSim.__version__,
author='CSST Team', author='CSST Team',
author_email='gzhao@niaot.ac.cn', author_email='gzhao@niaot.ac.cn',
description='The CSST CPIC Simulation', # short description description='The CSST CPIC Simulation', # short description
...@@ -17,9 +18,9 @@ setuptools.setup( ...@@ -17,9 +18,9 @@ setuptools.setup(
"Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Physics",
"Topic :: Scientific/Engineering :: Astronomy" "Topic :: Scientific/Engineering :: Astronomy"
], ],
package_dir={'csst_cpic_sim': 'csst_cpic_sim'}, package_dir={'CpicImgSim': 'CpicImgSim'},
include_package_data=False, include_package_data=False,
install_requires=['numpy', 'scipy', 'astropy', 'pysynphot', 'hcipy', 'pandas'], install_requires=['numpy', 'scipy', 'astropy', 'pysynphot', 'hcipy'],
python_requires='>=3.8', python_requires='>=3.8',
) )
tests/.coveragerc 0 → 100644
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[run]
branch = True
source = CpicImgSim
tests/how_to_unittest 0 → 100644
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使用python运行unittest：
python -m unittest
使用coverage运行unittest
coverage run -m unittest
生成html报告
coverage html
\ No newline at end of file
tests/test_camera.py
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import unittest import unittest
from csst_cpic_sim.camera import EMCCD from CpicImgSim.camera import EMCCD
import numpy as np import numpy as np
...@@ -69,4 +69,17 @@ class TestEMCCD(unittest.TestCase): ...@@ -69,4 +69,17 @@ class TestEMCCD(unittest.TestCase):
if __name__ == '__main__': if __name__ == '__main__':
unittest.main() # unittest.main()
from CpicImgSim.camera import CPIC_VIS_EMCCD
emccd = CPIC_VIS_EMCCD()
emccd.emgain_fun(1023, -30)
bias_images = []
for _ in range(10):
bias = emccd.bias_frame(show=True)
bias_images.append(bias)
bias_images = np.array(bias_images)
from astropy.io import fits
fits.writeto("bias.fits", bias_images)
tests/test_comicray.py
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import unittest import unittest
from csst_cpic_sim.camera import CosmicRayFrameMaker, sky_frame_maker from CpicImgSim.camera import CosmicRayFrameMaker, sky_frame_maker
from csst_cpic_sim.target import star_photlam from CpicImgSim.target import star_photlam
from csst_cpic_sim.optics import filter_throughput from CpicImgSim.optics import filter_throughput
import numpy as np import numpy as np
......
tests/test_io.py
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import unittest import unittest
from unittest import mock from unittest import mock
from csst_cpic_sim.io import obsid_parser, primary_hdu, frame_header, save_fits_simple from CpicImgSim.io import obsid_parser, primary_hdu, frame_header, save_fits_simple
import csst_cpic_sim.io as io import CpicImgSim.io as io
from astropy.io import fits from astropy.io import fits
import numpy as np import numpy as np
import yaml import yaml
......
tests/test_main.py
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import unittest import unittest
from csst_cpic_sim import observation_simulation, quick_run from CpicImgSim import observation_simulation, quick_run
class TestMain(unittest.TestCase): class TestMain(unittest.TestCase):
......
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