observables.py File Reference

Go to the source code of this file.

Namespaces
	observables

Functions
def	observables.kinertrum (Psi, dx, i, quOn)
	Kinetic energy spectrum = kinertrum. More...
def	observables.kinertrum_loop (dataName, initValue, finalValue, incr)
def	observables.dens_struct_fact (dataName, initValue, finalValue, incr)
def	observables.energy_total (dataName, initValue, finalValue, increment)
def	observables.energy_kinetic (dataName, initValue, finalValue, increment)
def	observables.energy_potential (dataName, initValue, finalValue, increment)
def	observables.ang_mom (dataName, initValue, finalValue, incr, ev_type, imgdpi)
def	observables.expec_val_monopole (dataName, initValue, finalValue, incr)
def	observables.expec_val_quadrupole (dataName, initValue, finalValue, incr)
def	observables.expec_val_ (quant_name, quantity, dataName, initValue, finalValue, incr)

Variables
float	observables.HBAR = 1.05457148e-34
float	observables.PI = 3.141592653589793
	observables.prec
	observables.c = ConfigParser.ConfigParser()
	observables.xDim = int(c.getfloat('Params','xDim'))
	observables.yDim = int(c.getfloat('Params','yDim'))
	observables.gndMaxVal = int(c.getfloat('Params','gsteps'))
	observables.evMaxVal = int(c.getfloat('Params','esteps'))
	observables.incr = int(c.getfloat('Params','print_out'))
tuple	observables.dx = (c.getfloat('Params','dx'))
tuple	observables.dy = (c.getfloat('Params','dy'))
tuple	observables.dkx = (c.getfloat('Params','dpx'))
tuple	observables.dky = (c.getfloat('Params','dpy'))
tuple	observables.dt = (c.getfloat('Params','dt'))
tuple	observables.xMax = (c.getfloat('Params','xMax'))
tuple	observables.yMax = (c.getfloat('Params','yMax'))
tuple	observables.omegaZ = (c.getfloat('Params','omegaZ'))
tuple	observables.mass = (c.getfloat('Params','Mass'))
tuple	observables.omega = (c.getfloat('Params','omega'))
tuple	observables.omegaX = (c.getfloat('Params','omegaX'))
	observables.num_vort = int(c.getfloat('Params','Num_vort'))
	observables.N = int(c.getfloat('Params','atoms'))
	observables.data = numpy.ndarray(shape=(xDim,yDim))
	observables.x = np.asarray(open('x_0').read().splitlines(),dtype='f8')
	observables.y = np.asarray(open('y_0').read().splitlines(),dtype='f8')
	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) )
	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) )
	observables.kxm
	observables.kym
	observables.km_mag = np.sqrt( kxm**2 + kym**2 )
	observables.k_mag = np.sqrt( kx**2 + ky**2 )
	observables.kMax = max(max(k_mag))
float	observables.hbar = 1.05457e-34
float	observables.m = 1.4431607e-25
	observables.V = np.array(open('V_0').read().splitlines(),dtype='f8')
	observables.K = np.array(open('K_0').read().splitlines(),dtype='f8')
	observables.xPy = np.array(open('xPy_0').read().splitlines(),dtype='f8')
	observables.yPx = np.array(open('yPx_0').read().splitlines(),dtype='f8')
tuple	observables.g = (0.5*N)*4.0*HBAR*HBAR*PI*(4.67e-9/mass)*np.sqrt(mass*omegaZ/(2.0*PI*HBAR))