示例#1
0
文件: profit.py 项目: limu007/scanner
def matter_plate(freq, epsil, width, rep=0, meth=0, polar='s', ang=0, n0=1):
    '''alternative approach
        without angular dependance yet
    '''
    from numpy import sqrt, cos, sin, exp, conj, zeros, ones
    #from spectra import ev2um
    global delt, pl
    matt = None
    #matrix([[1.,0],[0.,1.]],'c16')
    cang = 1
    if polar == 'p': pl0 = n0 / cang
    else: pl0 = n0 * cang
    o1 = ones(len(freq))
    z1 = zeros(len(freq))
    from algebra import tensor
    for i in range(len(width)):
        n = sqrt(epsil[i])
        pl = n * cang
        delt = 2 * pi * (freq * ev2um * 1e-3) * pl * width[i]
        if polar == 'p': pl = n / cang
        if meth == 1:
            mult = tensor([[cos(delt), -1j / pl * sin(delt)],
                           [-1j * pl * sin(delt),
                            cos(delt)]])
        else:
            r12 = (pl0 - pl) / (pl0 + pl)
            t12 = 2 * pl0 / (pl0 + pl)
            mult = tensor([[o1, r12], [r12, o1]]) * (1. / t12)
            if width[i] > 0:
                delt = 2 * pi * (freq * ev2um * 1e-3) * pl * width[i]
                mult *= tensor([[exp(1j * delt), z1], [z1, exp(-1j * delt)]])
        if matt == None: matt = mult
        else: matt *= mult
        #cang=sqrt(pl0**2-pl**2*(1-cang**2))
        pl0 = pl
    #now pl0 and pl are that of the incident medium and substrate, resp.
    if rep == -1: return matt
    if len(epsil) > len(width): pl = sqrt(epsil[len(width)]) * cang
    a = (matt[0, 0] + matt[0, 1] * pl) * sqrt(epsil[0]) * cang
    b = (matt[1, 0] + matt[1, 1] * pl)
    r = (a - b) / (a + b)
    return (r * conj(r))
示例#2
0
文件: profit.py 项目: limu007/Charlay
def matter_plate(freq,epsil,width,rep=0,meth=0,polar='s',ang=0,n0=1):
    '''alternative approach
        without angular dependance yet
    '''
    from numpy import sqrt,cos,sin,exp,conj,zeros,ones
    from spectra import ev2um
    global delt,pl
    matt=None;#matrix([[1.,0],[0.,1.]],'c16')
    cang=1
    if polar=='p': pl0=n0/cang
    else: pl0=n0*cang
    o1=ones(len(freq))
    z1=zeros(len(freq))
    from algebra import tensor
    for i in range(len(width)):
        n=sqrt(epsil[i])
        pl=n*cang
        delt=2*pi*(freq*ev2um*1e-3)*pl*width[i]
        if polar=='p': pl=n/cang
        if meth==1:
            mult=tensor([[cos(delt),-1j/pl*sin(delt)],[-1j*pl*sin(delt),cos(delt)]])
        else:
            r12=(pl0-pl)/(pl0+pl)
            t12=2*pl0/(pl0+pl)
            mult=tensor([[o1,r12],[r12,o1]])*(1./t12)
            if width[i]>0:
                delt=2*pi*(freq*ev2um*1e-3)*pl*width[i]
                mult*=tensor([[exp(1j*delt),z1],[z1,exp(-1j*delt)]])
        if matt==None: matt=mult
        else: matt*=mult
        #cang=sqrt(pl0**2-pl**2*(1-cang**2))
        pl0=pl
    #now pl0 and pl are that of the incident medium and substrate, resp.
    if rep==-1: return matt
    if len(epsil)>len(width): pl=sqrt(epsil[len(width)])*cang
    a=(matt[0,0]+matt[0,1]*pl)*sqrt(epsil[0])*cang
    b=(matt[1,0]+matt[1,1]*pl)
    r=(a-b)/(a+b)
    return (r*conj(r))
示例#3
0
文件: profit.py 项目: limu007/scanner
def tensor_plate(freq, epsil, width, rep=0, meth=1, n0=1., ang=0):
    '''using tensor algebra
    '''
    from numpy import array, ones, zeros, sqrt, conj
    from math import cos, sin
    from algebra import tensor
    sp = epsil[0].shape
    matt = tensor(array(
        [[ones(sp), zeros(sp)], [zeros(sp), ones(sp)]], 'c32'),
                  dim=2)
    i = 0
    r = []
    sh = []
    cang, canh = None, None
    for e in epsil:  # calculate fresnel coef., widths and angles at each interface
        n = sqrt(e)
        if i < len(width): sh.append(mfrq * 2 * pi * n * width[i])
        if ang != 0:
            if cang == None: cang = cos(ang * pi / 180)
            else: cang = canh  # output angle from previous layer
            psi.append(cang)
            canh = sqrt(1 - (n0.real)**2 * (1 - cang**2) /
                        (n.real)**2)  #cos of angle below the interface
            pl = n * cang
            delt = sh[-1] * cang
            selt, celt = sin(delt), cos(delt)
            matt *= tensor([[celt, -1j / pl * selt], [-1j * pl * selt, celt]])
        else:
            selt, celt = sin(sh[-1]), cos(sh[-1])
            pl = 1
            matt *= tensor([[celt, -1j * selt], [-1j * selt, celt]])
        n0 = n
        i += 1

    if meth == 3: return matt
    a = (matt[0, 0] + matt[0, 1] * pl) * n0 * cos(ang * pi / 180)
    b = (matt[1, 0] + matt[1, 1] * pl)
    r = (a - b) / (a + b)
    return (r * conj(r)).real
示例#4
0
文件: profit.py 项目: limu007/Charlay
def tensor_plate(freq,epsil,width,rep=0,meth=1,n0=1.,ang=0):
    '''using tensor algebra
    '''
    from numpy import array,ones,zeros,sqrt,conj
    from math import cos,sin
    from algebra import tensor
    sp=epsil[0].shape
    matt=tensor(array([[ones(sp),zeros(sp)],[zeros(sp),ones(sp)]],'c32'),dim=2)
    i=0
    r=[]
    sh=[]
    cang,canh=None,None
    for e in epsil: # calculate fresnel coef., widths and angles at each interface
        n=sqrt(e)
        if i<len(width): sh.append(mfrq*2*pi*n*width[i])
        if ang!=0:
            if cang==None: cang=cos(ang*pi/180)
            else: cang=canh # output angle from previous layer
            psi.append(cang)
            canh=sqrt(1-(n0.real)**2*(1-cang**2)/(n.real)**2) #cos of angle below the interface
            pl=n*cang
            delt=sh[-1]*cang
            selt,celt=sin(delt),cos(delt)
            matt*=tensor([[celt,-1j/pl*selt],[-1j*pl*selt,celt]])
        else:
            selt,celt=sin(sh[-1]),cos(sh[-1])
            pl=1
            matt*=tensor([[celt,-1j*selt],[-1j*selt,celt]])
        n0=n
        i+=1

    if meth==3: return matt
    a=(matt[0,0]+matt[0,1]*pl)*n0*cos(ang*pi/180)
    b=(matt[1,0]+matt[1,1]*pl)
    r=(a-b)/(a+b)
    return (r*conj(r)).real