xrts = []
trs = mc3.suggestTransitions(mix, e0)
for tr in trs:
	xrts.append(tr)

# print(xrts)

xtraParams={}
xtraParams.update(mc3.configurePhiRhoZ(przDepUm*1.0e-6))
xtraParams.update(mc3.configureXRayAccumulators(xrts,True, True, True))
# note that the image size on the specimen is in meters...
xtraParams.update(mc3.configureEmissionImages(xrts, imgSzUm*1.0e-6,
                                              imgSize))
xtraParams.update(mc3.configureTrajectoryImage(imgSzUm*1.0e-6, imgSize))
xtraParams.update(mc3.configureVRML(nElectrons = vmrlEl))
xtraParams.update(mc3.configureOutput(simDir))

print(xtraParams)

sim = mc3.simulate(mix, det, e0, dose, True,
                   nTraj, True, True, xtraParams)
fmtS = "Admiralty-Brass-at-%g-kV"
sName = fmtS % (e0)
sim.rename(sName)
sim.display()
fi =  simDir + "/"
fi += sName
fi += "-%g-Traj.msa" % (nTraj)
sim.save(fi)
Example #2
0
def uncoatedSimBulkStd(mat,
                       det,
                       e0,
                       nTraj,
                       outPath,
                       dim=5.0e-6,
                       lt=100,
                       pc=1.0,
                       emiSize=512):
    """
	uncoatedSimBulkStd(mat, det, e0, nTraj, outPath,
					   dim=5.0e-6, lt=100, pc=1.0, emiSize=512)

	Use mc3 simulation to simulate an uncoated standard specimen

	Parameters
	----------
	mat - a dtsa material.
		Note the material must have an associated density. It should
		have a useful name.

	det - a dtsa detector
		Here is where we get the detector properties and calibration

	e0 - float
		The accelerating voltage in kV

	nTraj - integer
		The number of trajectories to run

	outPath - string
		The path to the directory for output

	dim - float (5.0e-6)
		The size of the emission images in um

	lt - integer (100)
		The live time (sec)

	pc - float (1.0)
		The probe current in nA

	emiSize - int (default 512)
		The width and depth of the emission images.


	Returns
	-------
	sim - DTSA scriptable spectrum 
		The simulated standard spectrum
	
	Example
	-------
	import dtsa2 as dtsa2
	import dtsa2.jmMC3 as jm3
	outPath = "path/to/yours/spc"
	cu = material("Cu", density=8.92)
	det = findDetector("Si(Li)")
	a = jm3.uncoatedSimBulkStd(cu, det, 15.0, 100, outPath,
							   dim=5.0e-6, lt=100,
							   pc=1.0, emiSize=512)
	a.display()
	"""
    start = time.time()
    strMat = mat.getName()
    dose = pc * lt  # na-sec"

    # specify the transitions to generate
    xrts = []

    trs = mc3.suggestTransitions(mat, e0)
    for tr in trs:
        xrts.append(tr)

    # At 20 kV the images are best at 2.0e-6
    xtraParams = {}
    xtraParams.update(mc3.configureXRayAccumulators(xrts, True, True, True))
    # note that the image size on the specimen is in meters...
    xtraParams.update(mc3.configureEmissionImages(xrts, dim, emiSize))
    xtraParams.update(mc3.configurePhiRhoZ(dim))
    xtraParams.update(mc3.configureTrajectoryImage(dim, emiSize))
    xtraParams.update(mc3.configureVRML(nElectrons=100))
    xtraParams.update(mc3.configureOutput(outPath))
    print("Output sent to %s") % (outPath)
    sim = mc3.simulate(mat, det, e0, lt * pc, True, nTraj, True, True,
                       xtraParams)
    sName = "%s-%g-kV" % (strMat, e0)
    sim.rename(sName)
    sim.setAsStandard(mat)
    sim.display()

    end = time.time()
    delta = end - start
    msg = "This simulation required %.f sec" % (delta)
    print(msg)
    msg = "						 %.f min" % (delta / 60.0)
    print(msg)
    msg = "						 %.f hr" % (delta / 360.0)
    print("")
    return (sim)
Example #3
0
def fullSimBulkStd(mat, det, e0, nTraj, outPath, dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False):
    """
    fullSimBulkStd(mat, det, e0, nTraj, outPath, dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False)

    Use mc3 simulation to simulate an uncoated standard specimen

    Parameters
    ----------
    mat - a dtsa material.
        Note the material must have an associated density. It should have a useful name.
    det - a dtsa detector
        Here is where we get the detector properties and calibration
    e0 - float
        The accelerating voltage in kV
    nTraj - integer
        The number of trajectories to run
    outPath - string
        The path to the directory for output
    dim - float (5.0e-6)
        The size of the emission images
    lt - integer (100)
        The live time (sec)
    pc - float (1.0)
        The probe current in nA
    emiSize - int (default 512)
        The width and depth of the emission images.
    ctd - Boolean (False) - is C coated


    Returns
    -------
    sim - DTSA scriptable spectrum 
        The simulated standard spectrum
    
    Example
    -------
    import dtsa2 as dtsa2
    import dtsa2.mcSimulate3 as mc3
    det = findDetector("Oxford p4 05eV 2K")
    cu = material("Cu", density=8.92)
    a = fullSimBulkStd(cu, det, 20.0, 100, 100, 1.0)
    a.display()

    """
    dose = pc * lt  # na-sec"
    xrts = []

    trs = mc3.suggestTransitions(mat, e0)
    for tr in trs:
        xrts.append(tr)
    mc3.configureEmissionImages(xrts, dim, emiSize)

    xtraParams={}
    xtraParams.update(mc3.configureXRayAccumulators(xrts,True, True, True))
    # note that the image size on the specimen is in meters...
    xtraParams.update(mc3.configureEmissionImages(xrts, 5.0e-6, 512))
    xtraParams.update(mc3.configurePhiRhoZ(5.0e-6))
    xtraParams.update(mc3.configureTrajectoryImage(5.0e-6, 512))
    xtraParams.update(mc3.configureVRML(nElectrons=100))
    xtraParams.update(mc3.configureOutput(outPath))
    mc3.configureOutput(outPath)
    print("Output sent to %s") % (outPath)

    dose = lt*pc

    sim = mc3.simulate(mat, det, e0, dose, withPoisson=True, nTraj=nTraj,
                       sf=True, bf=True, xtraParams=xtraParams)

    sName = "%s-%g-kV" % (mat, e0)
    sim.rename(sName)
    sim.setAsStandard(mat)
    sim.display()
    fi =  outPath + "/"
    fi += sName
    fi += "-%g-Traj.msa" % (nTraj)
    print(fi)
    sim.save(fi)
    return(sim)
trs = mc3.suggestTransitions(eagleXG, e0)
for tr in trs:
    xrts.append(tr)

trs = mc3.suggestTransitions(c, e0)
for tr in trs:
    xrts.append(tr)

xtraParams = {}
xtraParams.update(mc3.configurePhiRhoZ(przDepUm * 1.0e-6))
xtraParams.update(mc3.configureXRayAccumulators(xrts, True, True, True))
# note that the image size on the specimen is in meters...
xtraParams.update(mc3.configureEmissionImages(xrts, imgSzUm * 1.0e-6, imgSize))
xtraParams.update(mc3.configureTrajectoryImage(imgSzUm * 1.0e-6, imgSize))
xtraParams.update(mc3.configureVRML(nElectrons=vmrlEl))
xtraParams.update(mc3.configureOutput(simDir))

print(xtraParams)

fmtS = "%g-nm-C-on-EagleXG-at-%g-kV"

print("Starting simulation")

multiLaySim = mc3.multiFilm(layers, det, e0, True, nTraj, dose, True, True,
                            xtraParams)
sName = fmtS % (tCNm, e0)
multiLaySim.rename(sName)
multiLaySim.setAsStandard(eagleXG)
multiLaySim.display()
fi = spcDir + "/"
Example #5
0
def fullSimBulkStd(mat, ctg, ctgThickNm, det, e0, nTraj, outPath,
                   dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False):
    """
    fullSimBulkStd(mat, ctg, ctgThickNm, det, e0, nTraj, outPath,
                   dim=5.0e-6, lt=100, pc=1.0, emiSize=512, ctd=False)

    Use mc3 simulation to simulate an uncoated standard specimen

    Parameters
    ----------
    mat - a dtsa material.
        Note the material must have an associated density. It should
        have a useful name.

    ctg - a dtsa2 material for the coating

    det - a dtsa detector
        Here is where we get the detector properties and calibration

    e0 - float
        The accelerating voltage in kV

    nTraj - integer
        The number of trajectories to run

    outPath - string
        The path to the directory for output

    dim - float (5.0e-6)
        The size of the emission images

    lt - integer (100)
        The live time (sec)

    pc - float (1.0)
        The probe current in nA

    emiSize - int (default 512)
        The width and depth of the emission images.

    ctd - Boolean (False) - is C coated


    Returns
    -------
    sim - DTSA scriptable spectrum 
        The simulated standard spectrum
    
    Example
    -------
    import dtsa2 as dtsa2
    import dtsa2.mcSimulate3 as mc3
    det = findDetector("Oxford p4 05eV 4K")
    cu = material("Cu", density=8.92)

    outPath = "C:/Users/johnr/Documents/git/dtsa2Scripts/ben-buse/out"

    a = fullSimBulkStd(cu, det, 15.0, 100, outPath,
                       dim=5.0e-6, lt=100,
                       pc=1.0, emiSize=512, ctd=False)
    a.display()

    """
    strCtg = ctg.getName()
    strMat = mat.getName()
    dose = pc * lt  # na-sec"
    
    # specify the transitions to generate
    xrts = []

    trs = mc3.suggestTransitions(mat, e0)
    for tr in trs:
        xrts.append(tr)
    trs = mc3.suggestTransitions(ctg, e0)
    for tr in trs:
        xrts.append(tr)

    # At 20 kV the images are best at 2.0e-6
    xtraParams={}
    xtraParams.update(mc3.configureXRayAccumulators(xrts,True, True, True))
    # note that the image size on the specimen is in meters...
    xtraParams.update(mc3.configureEmissionImages(xrts, 2.0e-6, 512))
    xtraParams.update(mc3.configurePhiRhoZ(2.0e-6))
    xtraParams.update(mc3.configureTrajectoryImage(2.0e-6, 512))
    xtraParams.update(mc3.configureVRML(nElectrons=100))
    xtraParams.update(mc3.configureOutput(outPath))
    print("Output sent to %s") % (outPath)
    layers = [ [ctg, ctgThickNm*1.0e-9],
               [mat, 1.0e-3]]
    sim = mc3.multiFilm(layers, det, e0, withPoisson=True, nTraj=nTraj,
                        dose=dose, sf=True, bf=True, xtraParams=xtraParams)
    sName = "%g-nm-%s-on-%s" % (tNmC, strCtg, strMat)
    sim.rename(sName)
    sim.setAsStandard(mat)
    sim.display()
    return(sim)