我正在使用PyEphem,并想要计算阴影的长度(假设一根单位长度的棍子种在地上)。长度将由cot( phi ),其中phi是太阳仰角(如果我错了请纠正我)。我不确定在太阳上使用什么场??在下面的示例中,我使用了alt角度:
import ephem, math
o = ephem.Observer()
o.lat, o.long = '37.0625', '-95.677068'
sun = ephem.Sun()
sunrise = o.previous_rising(sun, start=ephem.now())
noon = o.next_transit(sun, start=sunrise)
shadow = 1 / math.tan(sun.alt)请核对我的解释如下:
最后,我很困惑如何使用PyEphem从阴影长度倒转到下一次太阳将投出该长度的阴影时,给出一个ephem.Observer()。
我希望能在这方面提供帮助。
发布于 2011-04-19 23:09:02
在太阳上使用什么能量场?
sun.alt是正确的。alt是一个高于地平线的高度;与北面以东的方位一起,它们定义了相对于地平线的表观位置。
你的计算几乎是正确的。你忘了提供一个观察者:sun = ephem.Sun(o)。
在这种情况下,太阳处于地平线以下。
最后,我很困惑如何使用PyEphem从阴影长度倒转到下一次太阳将投出该长度的阴影时,给出一个ephem.Observer()。
下面是一个给定函数的脚本:g(date) -> altitude计算下一次太阳将投出与现在一样长的阴影(不考虑阴影的方位方向):
#!/usr/bin/env python
import math
import ephem
import matplotlib.pyplot as plt
import numpy as np
import scipy.optimize as opt
def main():
# find a shadow length for a unit-length stick
o = ephem.Observer()
o.lat, o.long = '37.0625', '-95.677068'
now = o.date
sun = ephem.Sun(o) #NOTE: use observer; it provides coordinates and time
A = sun.alt
shadow_len = 1 / math.tan(A)
# find the next time when the sun will cast a shadow of the same length
t = ephem.Date(find_next_time(shadow_len, o, sun))
print "current time:", now, "next time:", t # UTC time
####print ephem.localtime(t) # print "next time" in a local timezone
def update(time, sun, observer):
"""Update Sun and observer using given `time`."""
observer.date = time
sun.compute(observer) # computes `sun.alt` implicitly.
# return nothing to remember that it modifies objects inplace
def find_next_time(shadow_len, observer, sun, dt=1e-3):
"""Solve `sun_altitude(time) = known_altitude` equation w.r.t. time."""
def f(t):
"""Convert the equation to `f(t) = 0` form for the Brent's method.
where f(t) = sun_altitude(t) - known_altitude
"""
A = math.atan(1./shadow_len) # len -> altitude
update(t, sun, observer)
return sun.alt - A
# find a, b such as f(a), f(b) have opposite signs
now = observer.date # time in days
x = np.arange(now, now + 1, dt) # consider 1 day
plt.plot(x, map(f, x))
plt.grid(True)
####plt.show()
# use a, b from the plot (uncomment previous line to see it)
a, b = now+0.2, now+0.8
return opt.brentq(f, a, b) # solve f(t) = 0 equation using Brent's method
if __name__=="__main__":
main()输出
current time: 2011/4/19 23:22:52 next time: 2011/4/20 13:20:01https://stackoverflow.com/questions/5720633
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