def main():
"""
NAME
uniform.py
DESCRIPTION
draws N directions from uniform distribution on a sphere
SYNTAX
uniform.py [-h][command line options]
-h prints help message and quits
-n N, specify N on the command line (default is 100)
-F file, specify output file name, default is standard output
"""
outf = ""
N = 100
if "-h" in sys.argv:
print main.__doc__
sys.exit()
if "-F" in sys.argv:
ind = sys.argv.index("-F")
outf = sys.argv[ind + 1]
if outf != "":
out = open(outf, "w")
if "-n" in sys.argv:
ind = sys.argv.index("-n")
N = int(sys.argv[ind + 1])
dirs = pmag.get_unf(N)
if outf == "":
for dir in dirs:
print "%7.1f %7.1f" % (dir[0], dir[1])
else:
numpy.savetxt(outf, dirs, fmt="%7.1f %7.1f")
def main():
"""
NAME
probRo.py
DESCRIPTION
Calculates Ro as a test for randomness - if R exceeds Ro given N, then set is not random at 95% level of confindence
SYNTAX
probRo.py [command line options]
OPTIONS
-h prints this help message
-Nm number of Monte Carlo simulations (default is 10000)
-Nmax maximum number for dataset (default is 10)
"""
Ns,Nm=range(4,11),10000
files,fmt={},'svg'
if '-h' in sys.argv: # check if help is needed
print main.__doc__
sys.exit() # graceful quit
if '-Nm' in sys.argv:
ind=sys.argv.index('-Nm')
Nm=int(sys.argv[ind+1])
if '-Nmax' in sys.argv:
ind=sys.argv.index('-Nmax')
Nmax=int(sys.argv[ind+1])
Ns=range(3,Nmax+1)
PLT={'plt':1}
pmagplotlib.plot_init(PLT['plt'],5,5)
Ro=[]
for N in Ns:
Rs=[]
n=0
while n<Nm:
dirs=pmag.get_unf(N)
pars=pmag.fisher_mean(dirs)
Rs.append(pars['r'])
n+=1
Rs.sort()
crit=int(.95*Nm)
Ro.append(Rs[crit])
pmagplotlib.plotXY(PLT['plt'],Ns,Ro,'-','N','Ro','')
pmagplotlib.plotXY(PLT['plt'],Ns,Ro,'ro','N','Ro','')
pmagplotlib.drawFIGS(PLT)
for key in PLT.keys():
files[key]=key+'.'+fmt
ans=raw_input(" S[a]ve to save plot, [q]uit without saving: ")
if ans=="a": pmagplotlib.saveP(PLT,files)
def main():
f = .9
while 1:
stdev = 0
size = raw_input("mean width of smallest edge in nanometers: ")
std = raw_input(
" std deviation of length of smallest edge in nanometers: [return for single xtal] "
)
if std == "": std = "0"
dmean = float(size) * 1e-9 # convert to meters
if std != "0": stdev = float(std) * 1e-9
abc = raw_input(" dimensions in colon delimited list [2:1:1] ")
if abc == "": abc = "2:1:1"
abcsplit = abc.split(':')
a, b, c = float(abcsplit[0]), float(abcsplit[1]), float(abcsplit[2])
a, b, c = a / c, b / c, c / c # c = 1
Na = (1. / 3.) * (1. - (2. / 5.) *
(2. - b / a - c / a)) # get demag factor
Nb = (1. - Na) / 2.
dN = Nb - Na
Ndirs = 1000
dirs = pmag.get_unf(Ndirs) # get a uniform distribution of theta
T, M = get_trm(dmean, stdev, dN, a * b, dirs)
outstring = size + ' nm ' + '+/-' + std + '; shape: ' + abc
text(.3, f, outstring)
f -= .05
xlabel('Field (uT)')
ylabel('TRM/sIRM')
plot(T, M)
bounds = axis()
v = [bounds[0], bounds[1], 0, 1.]
axis(v)
draw()
ans = raw_input(
"[s]ave to save data, Return to continue, <^D> to quit ")
if ans == "s":
file = size + '_pm_' + std + '_' + '%i' % (a) + '_' + '%i' % (
b) + '_' + '%i' % (c) + '.out'
f = open(file, 'w')
for k in range(len(T)):
outstring = '%i %7.5f\n' % (T[k], M[k])
f.write(outstring)
f.close()
def main():
f=.9
while 1:
stdev=0
size=raw_input("mean width of smallest edge in nanometers: ")
std=raw_input(" std deviation of length of smallest edge in nanometers: [return for single xtal] ")
if std=="":std="0"
dmean=float(size)*1e-9 # convert to meters
if std!="0": stdev=float(std)*1e-9
abc=raw_input(" dimensions in colon delimited list [2:1:1] ")
if abc=="":abc="2:1:1"
abcsplit=abc.split(':')
a,b,c=float(abcsplit[0]),float(abcsplit[1]),float(abcsplit[2])
a,b,c=a/c,b/c,c/c # c = 1
Na=(1./3.)*(1.-(2./5.)*(2.-b/a-c/a)) # get demag factor
Nb=(1.-Na)/2.
dN=Nb-Na
Ndirs=1000
dirs=pmag.get_unf(Ndirs)# get a uniform distribution of theta
T,M=get_trm(dmean,stdev,dN,a*b,dirs)
outstring=size+' nm '+'+/-'+std+'; shape: '+abc
text(.3,f,outstring)
f-=.05
xlabel('Field (uT)')
ylabel('TRM/sIRM')
plot(T,M)
bounds=axis()
v=[bounds[0],bounds[1],0,1.]
axis(v)
draw()
ans=raw_input("[s]ave to save data, Return to continue, <^D> to quit ")
if ans=="s":
file=size+'_pm_'+std+'_'+'%i'%(a)+'_'+'%i'%(b)+'_'+'%i'%(c)+'.out'
f=open(file,'w')
for k in range(len(T)):
outstring='%i %7.5f\n'%(T[k],M[k])
f.write(outstring)
f.close()
def main():
"""
NAME
uniform.py
DESCRIPTION
draws N directions from uniform distribution on a sphere
SYNTAX
uniform.py [-h][command line options]
-h prints help message and quits
-i interactive entry of N and output file
-n N, specify N on the command line (default is 100)
-F file, specify output file name, default is standard output
"""
outf=""
N=100
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-i' in sys.argv:
N=int(raw_input("Desired number of uniform directions "))
outf=raw_input("Output file for saving? ")
if '-F' in sys.argv:
ind=sys.argv.index('-F')
outf=sys.argv[ind+1]
if outf!="": out=open(outf,'w')
if '-N' in sys.argv:
ind=sys.argv.index('-N')
N=int(sys.argv[ind+1])
dirs=pmag.get_unf(N)
for dir in dirs:
if outf!="":
out.write('%7.1f %7.1f \n'%(dir[0],dir[1]))
else:
print '%7.1f %7.1f'%(dir[0],dir[1])
