Ticket #1224: example_reduction_BTloop.py

#Make the reduction module available
from SANSReduction import *

# Set a default data path where we look for raw data
#DataPath("/home/m2d/workspace/mantid/Test/Data/SANS2D")
DataPath("/home/dmn58364/mantidproject/repo/Test/Data/SANS2D")
# Set a user path where we look for the mask file
#UserPath("/home/m2d/workspace/mantid/Test/Data/SANS2D")
UserPath("/home/dmn58364/mantidproject/repo/Test/Data/SANS2D")
# Set instrument. SANS2D() or LOQ()
SANS2D()
#Set reduction to 1D (note that if this is left out, 1D is the default)
Set1D()

# Set the detector
# Options:
# SANS: rear-detector, front-detector
# LOQ: main-detector-bank, HAB
Detector("rear-detector")

# Read a mask file
MaskFile('MASKSANS2D.091A')

# Change default limits if we want to
#LimitsR(50.,170.)
#   Here the arguments are min, max, step, step type
#LimitsWav(4.,8.,0.125, 'LIN')
#LimitsQXY(0, 0.1, 0.002, 'LIN')

# Q limits (binning) can be specified in 2 ways
# A simple min,delta,max and binning type
#LimitsQ(0.02, 1.0, 0.02, 'LOG')

# Or a full string that is passed directly to rebin as is 
#LimitsQ("0.02, -0.02,1.0")

# Consider Gravity true/false (default off)
Gravity(True)

# Alter the trans fit type and range. First parameter can be 'OFF','LOG',LIN'
#TransFit('LOG',3.0,8.0)

for j in range(2):
        # Assign run numbers (.nxs for nexus)
        AssignSample('992.raw')
        TransmissionSample('988.raw', '987.raw')
        AssignCan('993.raw')
        TransmissionCan('989.raw', '987.raw')

        # Update the centre coordinates
        # Arguments are rmin,rmax, niterations
        #FindBeamCentre(50., 170., 2)

        # Do the reduction
        # WavRangeReduction runs the reduction for the specfied wavelength range

        # The final argument can either be DefaultTrans or CalcTrans where
        #  (a) DefaultTrans calculates the transmission for the whole range specified by L/WAV 
        #      and then crops it to the current range and
        #  (b) CalcTrans calculates the transmission for the specifed range
        #
        # The returned value is the name of the fully reduced workspace
        #reduced = WavRangeReduction(2.0, 14.0, NewTrans)
        #plotSpectrum(reduced,0)

        #  ... OR ...
        
        # Looping over other ranges
        wav1 = 2.0
        wav2 = wav1 + 1.0
        reduced = WavRangeReduction(wav1, wav2, DefaultTrans)
        ws_list = [reduced]
        for i in range(3,14):
            print 'j = ', j,  ', i = ', i
            wav1 = i*1.0
            wav2 = wav1 + 1.0
            reduced = WavRangeReduction(wav1, wav2, DefaultTrans)
            ws_list.append(reduced)
        plt = plotSpectrum(ws_list, 0)
        plt.confirmClose(False)
        plt.close()
        
        # remove all of the workspaces
        workspaces = mtd.getWorkspaceNames()
        for w in workspaces:
                DeleteWorkspace(w)