.. algorithm:: .. summary:: .. alias:: .. properties:: Description ----------- Slow moving (low energy and long wavelength neutrons) may be detected after the end of the frame in which they entered the experimental apparatus. A schematic example of this is shown below where the neutrons are marked as circles. .. figure:: /images/UnwrapSNS_inst.png The two neutons on the right of the diagram were actually produced in frame 1 but will be recorded in frame 2 at low time of flight (TOF) and a straight :ref:`algm-ConvertUnits` will bin them at high energy and short wavelength! :ref:`algm-UnwrapSNS` moves those particles to the end of the spectrum by increasing their time of flight by the duration of a frame multiplied by the number (one or more) of frames they were "late" by. To assess if it is impossible for a particle to have arrived in the same frame it was detected a maximum speed for particles is calculated based on LRef and Tmin. The algorithm then calculates the mean speed of all detected particles and corrects those whose speed was greater than the maximum. Normally LRef is the total length of the flight path from the source (particle location when t=0) to a detector. For event data, if the detector with the shortest flight path was chosen it maybe possible to leave the Tmin empty and so that a first particle arrival time is used. Otherwise the Tmin should be set to < the arrival time of the fastest neutron at the given detector. If Tmin was set either Tmax or DataFrameWidth must be set to ensure the frame duration calculated correctly. If Tmax was set the frame width is the difference between Tmax and Tmin. DataFrameWidth overrides this and the width is the difference between the longest and shortest TOFs in the data. Usage ----- **Example: Unwrap sample data** .. testcode:: ExUnwrapSNS ws = CreateSampleWorkspace("Event",NumBanks=1,BankPixelWidth=1) wsOut = UnwrapSNS(ws,LRef=10) print("Input {}".format(ws.readY(0)[ws.blocksize()-1])) print("Output {}".format(wsOut.readY(0)[wsOut.blocksize()-1])) Output: .. testoutput:: ExUnwrapSNS Input 7.0 Output 0.0 .. categories:: .. sourcelink::