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def | observables.kinertrum (Psi, dx, i, quOn) |
| Kinetic energy spectrum = kinertrum. More...
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def | observables.kinertrum_loop (dataName, initValue, finalValue, incr) |
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def | observables.dens_struct_fact (dataName, initValue, finalValue, incr) |
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def | observables.energy_total (dataName, initValue, finalValue, increment) |
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def | observables.energy_kinetic (dataName, initValue, finalValue, increment) |
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def | observables.energy_potential (dataName, initValue, finalValue, increment) |
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def | observables.ang_mom (dataName, initValue, finalValue, incr, ev_type, imgdpi) |
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def | observables.expec_val_monopole (dataName, initValue, finalValue, incr) |
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def | observables.expec_val_quadrupole (dataName, initValue, finalValue, incr) |
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def | observables.expec_val_ (quant_name, quantity, dataName, initValue, finalValue, incr) |
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float | observables.HBAR = 1.05457148e-34 |
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float | observables.PI = 3.141592653589793 |
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| observables.prec |
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| observables.c = ConfigParser.ConfigParser() |
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| observables.xDim = int(c.getfloat('Params','xDim')) |
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| observables.yDim = int(c.getfloat('Params','yDim')) |
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| observables.gndMaxVal = int(c.getfloat('Params','gsteps')) |
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| observables.evMaxVal = int(c.getfloat('Params','esteps')) |
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| observables.incr = int(c.getfloat('Params','print_out')) |
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tuple | observables.dx = (c.getfloat('Params','dx')) |
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tuple | observables.dy = (c.getfloat('Params','dy')) |
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tuple | observables.dkx = (c.getfloat('Params','dpx')) |
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tuple | observables.dky = (c.getfloat('Params','dpy')) |
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tuple | observables.dt = (c.getfloat('Params','dt')) |
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tuple | observables.xMax = (c.getfloat('Params','xMax')) |
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tuple | observables.yMax = (c.getfloat('Params','yMax')) |
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tuple | observables.omegaZ = (c.getfloat('Params','omegaZ')) |
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tuple | observables.mass = (c.getfloat('Params','Mass')) |
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tuple | observables.omega = (c.getfloat('Params','omega')) |
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tuple | observables.omegaX = (c.getfloat('Params','omegaX')) |
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| observables.num_vort = int(c.getfloat('Params','Num_vort')) |
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| observables.N = int(c.getfloat('Params','atoms')) |
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| observables.data = numpy.ndarray(shape=(xDim,yDim)) |
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| observables.x = np.asarray(open('x_0').read().splitlines(),dtype='f8') |
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| observables.y = np.asarray(open('y_0').read().splitlines(),dtype='f8') |
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| observables.kx = np.reshape( np.array( [np.linspace( 0, (xDim/2-1)*dkx, xDim/2), np.linspace( (-xDim/2-1)*dkx, -dkx, xDim/2)]), (xDim,1) ) |
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| observables.ky = np.reshape( np.array( [np.linspace( 0, (yDim/2-1)*dky, yDim/2), np.linspace( (-yDim/2-1)*dky, -dky, yDim/2)]), (yDim,1) ) |
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| observables.kxm |
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| observables.kym |
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| observables.km_mag = np.sqrt( kxm**2 + kym**2 ) |
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| observables.k_mag = np.sqrt( kx**2 + ky**2 ) |
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| observables.kMax = max(max(k_mag)) |
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float | observables.hbar = 1.05457e-34 |
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float | observables.m = 1.4431607e-25 |
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| observables.V = np.array(open('V_0').read().splitlines(),dtype='f8') |
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| observables.K = np.array(open('K_0').read().splitlines(),dtype='f8') |
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| observables.xPy = np.array(open('xPy_0').read().splitlines(),dtype='f8') |
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| observables.yPx = np.array(open('yPx_0').read().splitlines(),dtype='f8') |
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tuple | observables.g = (0.5*N)*4.0*HBAR*HBAR*PI*(4.67e-9/mass)*np.sqrt(mass*omegaZ/(2.0*PI*HBAR)) |
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