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authorJoe Anderson <jandew+dev@gmail.com>2011-10-30 15:29:18 -0500
committerJoe Anderson <jandew+dev@gmail.com>2011-10-30 15:29:18 -0500
commit35098b3e3712021a0af8f41b6250fe611a7707d2 (patch)
treec81ab44dfc000e71b4089fbcd7e73be1c77458b7
parenta9e40fa59b61d6f3b3f44683934dfd090e0dcf24 (diff)
downloadtoss-35098b3e3712021a0af8f41b6250fe611a7707d2.tar.gz
toss-35098b3e3712021a0af8f41b6250fe611a7707d2.zip
rid of deprecations
-rw-r--r--.gitignore2
-rw-r--r--throw.py51
2 files changed, 2 insertions, 51 deletions
diff --git a/.gitignore b/.gitignore
index 2f78cf5..f3d74a9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,2 @@
*.pyc
-
+*~
diff --git a/throw.py b/throw.py
index 646dea9..deaea5b 100644
--- a/throw.py
+++ b/throw.py
@@ -60,23 +60,6 @@ def taylor_cos(a):
)
return r
-####
-# The interpolation is slower, uses more RAM,
-# and is two orders of magnitude less accurate.
-#
-#scale = 300.
-#angles = numpy.linspace(0, tau, scale)
-#_cos = numpy.cos(angles)
-#def floor_cos(a):
-# return _cos[int((a % tau)/tau * scale)]
-#def floor_sin(a):
-# return floor_cos(a - tau/4)
-#
-#interpolate_cos = interp1d(angles, numpy.cos(angles))
-#interpolate_sin = interp1d(angles, numpy.sin(angles))
-#def interp_cos(a): return interpolate_cos(a % tau)
-#def interp_sin(a): return interpolate_sin(a % tau)
-
### trig approximations
cos = taylor_cos
sin = taylor_sin
@@ -92,39 +75,13 @@ phi_max = 2 * (length - r0) / r_winch #rad
r = lambda phi: r0 + r_winch*(phi - phi**2/(2*phi_max))
### gravitational acceleration:
-### the deprecated approximation g = 9.71 m/s^2
-### factoring in the r-phi-dependence
geopotential = 3.987 * 10**14 #cubic meters per second^2
earth_radius = 6.3675 * 10**6 #meters
balloon_height = 40*10**3
height = lambda phi: balloon_height + r(phi) * cos(phi)
g = lambda phi: geopotential / (earth_radius + height(phi))**2
-### linear friction can be neglected due to:
-### low viscosity
-### high velocity => high Reynold's number
-### the formulation below neglets pressure differences.
-# for standard air:
-#visc0 = .01827 # reference viscosity
-#T0 = 291.15 # reference temperature
-#suth_C = 120 # Sutherland's constant
-# for pure diatomic hydrogen:
-#visc0 = .00876
-#T0 = 293.85
-#suth_C = 72
-#a = 0.555 * T0 + suth_C
-#b = lambda T: 0.555 * T + suth_C
-#visc = lambda T: visc0 * (a/b(T)) * (T/T0)**(3/2)
-#visc = visc(300) # standard temperature -- inaccurate
-#lin_co = 3 * numpy.pi * visc * Diameter # for a sphere
-# fric_lin = lin_co * r * phi1
-
### quadratic friction:
-#molar_mass = .02897 #kg/mol -- for air up to
-#ideal_gas_const = 8.314 #m^3 Pa / (mol K)
-#pressure = 500 #Pa
-#Temp = 300 #K
-#density = pressure * molar_mass / (ideal_gas_const * Temp) #kg/m^3
density = .003 #kg/m^3
kappa = .25 # for a sphere
radius = .1 #meters -- radius of the satellite cage
@@ -135,8 +92,6 @@ quad_co = kappa * density * Area
### mass:
global m, Mass
m = 39.7 #kilograms -- mass of the satellite cage (overestimate)
-#l = 0.2 #kilograms/meter -- density of the cable (20mm: 41.9 kN)
-#l = 0.52 #kilograms/meter -- density of the cable (32mm: 105.0 kN)
l = 0.16 #kilograms/meter -- density of Super Max cable, 16mm: 269.8kN
max_tension = 269.8 #kN, given by choice of cable above.
Mass = 670 #kilograms -- mass of /everything/
@@ -264,9 +219,7 @@ def opt_fun(guesses, f, func, init_vars):
f.write("%s, " % tension_max)
f.write("%s\n" % v_tan_max)
- # If you want to add limits, you can do so by changing the return to:
- #return 1/v_tan + Mass/600 + phi1.max()
- # or
+ # If you want strict limits, you can change the return to:
#return 1/v_tan + 1000*(Mass > Mass_limit) + 1000*(phi1.max() > phi1_limit)
return 2/v_tan_max + Mass/600 + phi1.max() / tau
@@ -322,5 +275,3 @@ if len(sys.argv) == 2:
if func_name in dir():
exec(func_name + '()')
-optimize()
-