#Rtriple5Model = STO(0,5) | threelayer*5 | onelayer*5 | threelayer*5 | air
Ftriple5Model = STO(0, 1.5) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | air
# Loading data
pth = os.getcwd()
PLP = Platypus()
print(os.path.join(pth, r'superlattice\Triple5data\T5unpol.dat'))
probe = PLP.load(
r'C:\Users\oliver\OneDrive - UNSW\code\jackson_superlattice\superlattice\Triple5data\T5unpol\OP_diff-ev\T5unpol.dat'
)
# Fitting parameters
'''
threelayer[0].thickness.pmp(1)
threelayer[1].thickness.pmp(5)
onelayer[0].thickness.pmp(1)
onelayer[1].thickness.pmp(5)
threelayer[0].interface.range(0,1)
threelayer[1].interface.range(0,1)
onelayer[0].interface.range(0,1)
onelayer[1].interface.range(0,1)
5) | threelayer * 5 | onelayer * 5 | threelayer * 5 | air
Ftriple5Model = STO(0, 1.5) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | air
# Loading data
pth = os.getcwd()
PLP = Platypus()
probe = PLP.load(
os.path.join(
pth,
r'C:\Users\Jackson\Desktop\a\superlattice\program\Jackson\Triple5data\T5unpol\T5unpol.dat'
))
# Fitting parameters
threelayer[0].thickness.pmp(1)
threelayer[1].thickness.pmp(5)
onelayer[0].thickness.pmp(1)
onelayer[1].thickness.pmp(5)
threelayer[0].interface.range(0, 1)
threelayer[1].interface.range(0, 1)
p[45], p[44], LNO_lyrs_mag3[0] ) | LSMO(
p[47], p[46], LSMO_lyrs_mag[11] ) | LNO(
p[49], p[48], LNO_lyrs_mag3[1] ) | LSMO(
p[51], p[50], LSMO_lyrs_mag[12] ) | LNO(
p[53], p[52], LNO_lyrs_mag3[2] ) | LSMO(
p[55], p[54], LSMO_lyrs_mag[13] ) | LNO(
p[57], p[56], LNO_lyrs_mag3[3] ) | LSMO(
p[59], p[58], LSMO_lyrs_mag[14] ) | LNO(
p[61], p[60], LNO_lyrs_mag3[4] ) | air
# define experiment based off best fit
experiment = p_fit.fitness
# Load the data
pth = os.getcwd()
PLP = Platypus()
data_dir = r'C:\Users\oliver\OneDrive - UNSW\code\jackson_superlattice\superlattice\Triple5data\1 Tesla'
probe = PLP.load_magnetic(pp=os.path.join(data_dir, 'c_PLP0045024PolCorr.dat'),
pm=os.path.join(data_dir, 'c_PLP0045021PolCorr.dat'),
mp=None,
mm=os.path.join(data_dir, 'PLP0045020PolCorr.dat') )
for magl in LSMO_lyrs_mag:
magl.rhoM.range(0,4)
magl.interface_above.range(0,6)
for magl in LNO_lyrs_mag1:
magl.rhoM.range(0,1)
magl.interface_above.range(0,6)
for magl in LNO_lyrs_mag2:
import os.path from numpy.testing import assert_equal, assert_almost_equal from refl1d.anstodata import Platypus # path to the test file pth = os.path.dirname(__file__) PLP = Platypus() probe = PLP.load(os.path.join(pth, 'c_PLP0000708.dat')) assert_equal(probe.Q.size, 90) assert_almost_equal(probe.dQ[0], 0.000319677 / 2.3548)
#Rtriple5Model = STO(0,5) | threelayer*5 | onelayer*5 | threelayer*5 | air
Ftriple5Model = STO(0, 1.5) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(3.85, 2) | LSMO(
34.1, 2) | LNO(3.85, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | LSMO(
34.1, 2) | LNO(11.5, 2) | LSMO(34.1, 2) | LNO(
11.5, 2) | LSMO(34.1, 2) | LNO(11.5, 2) | air
# Loading data
pth = os.getcwd()
PLP = Platypus()
probe = PLP.load(os.path.join(pth, 'T5unpol.dat'))
# Fitting parameters
'''
threelayer[0].thickness.pmp(1)
threelayer[1].thickness.pmp(5)
onelayer[0].thickness.pmp(1)
onelayer[1].thickness.pmp(5)
threelayer[0].interface.range(0,1)
threelayer[1].interface.range(0,1)
onelayer[0].interface.range(0,1)
onelayer[1].interface.range(0,1)
Rtriple5Model[0].interface.range(0,1)
Rtriple5Model[1].interface.range(0,1)