Commit 020d527

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DBR generation

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+32

-15

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+32

-15

lines changed

Lines changed: 16 additions & 15 deletions

Original file line number	Diff line number	Diff line change
`@@ -1,7 +1,7 @@`
`1`	`1`	`from numpy import *`
`2`	`2`	`from pylab import *`
`3`	`3`	`import timeit`
`4`		`-`
	`4`	`+importdbrprop`
`5`	`5`
`6`	`6`	`class DBRMirror:`
`7`	`7`	`def __init__(self, data):`
`@@ -34,20 +34,21 @@ def reflection_coeff(self, incidentwavelength):`
`34`	`34`
`35`	`35`	`start = timeit.default_timer()`
`36`	`36`
`37`		`-data = array([`
`38`		`- [1.0, inf],`
`39`		`- [3.5, 74.0],`
`40`		`- [3.0, 92.5],`
`41`		`- [3.5, 74.0],`
`42`		`- [3.0, 92.5],`
`43`		`- [3.5, 74.0],`
`44`		`- [3.0, 92.5],`
`45`		`- [3.5, inf]`
`46`		`-])`
`47`		`-`
`48`		`-NewMirror = DBRMirror(data)`
`49`		`-`
`50`		`-wavelength = array(linspace(600, 2000, 10000))`
	`37`	`+# data = array([`
	`38`	`+# [1.0, inf],`
	`39`	`+# [3.5, 74.0],`
	`40`	`+# [3.0, 92.5],`
	`41`	`+# [3.5, 74.0],`
	`42`	`+# [3.0, 92.5],`
	`43`	`+# [3.5, 74.0],`
	`44`	`+# [3.0, 92.5],`
	`45`	`+# [3.5, inf]`
	`46`	`+# ])`
	`47`	`+`
	`48`	`+New = dbrprop.DBRprop()`
	`49`	`+NewMirror = DBRMirror(New.data)`
	`50`	`+`
	`51`	`+wavelength = array(linspace(400, 4000, 1000))`
`51`	`52`
`52`	`53`	`gdd = NewMirror.reflection_coeff(wavelength)`
`53`	`54`

Lines changed: 16 additions & 0 deletions

Original file line number	Diff line number	Diff line change
`@@ -0,0 +1,16 @@`
	`1`	`+import numpy as np`
	`2`	`+`
	`3`	`+class DBRprop:`
	`4`	`+ def __init__(self):`
	`5`	`+ self.nbr = np.random.randint(15,5000)`
	`6`	`+ self.n = np.random.rand(2)*5 + 0.00000001`
	`7`	`+ self.d = np.random.rand(2)*10000+ 3`
	`8`	`+ # creation of array of data representing the mirror`
	`9`	`+ self.data = np.array([[self.n[0], 0]])`
	`10`	`+ self.data = np.vstack((self.data, [self.n[1], self.d[1]]))`
	`11`	`+ for k in range(self.nbr - 4):`
	`12`	`+ self.data = np.vstack((self.data, [self.n[0], self.d[0]]))`
	`13`	`+ self.data = np.vstack((self.data, [self.n[1], self.d[1]]))`
	`14`	`+ self.data = np.vstack((self.data, [self.n[0], self.d[0]]))`
	`15`	`+ self.data = np.vstack((self.data, [self.n[1],0]))`
	`16`	`+`

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