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Published byAlfonsina Bondi Modified over 5 years ago
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Benchmarking Tracking by Doppler Reconstruction
Dirk Weisshaar, NSCL @ Or: What’s the best way finding the coordinates of the first interaction of a gamma ray?
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Gamma spectroscopy with fast beam
γ rays of 28Si at v/c = 0.38 in GRETINA S800 36Ar 28Si θ Ge v/c ≈ 0.4 ϴ [rad] in GRETINA energy [keV] (laboratory frame) (Obvious) requirements for a spectrometer: Doppler-shift correction Spatial resolution Lorentz Boost Detection efficiency at forward angle …and GRETINA is a perfect match beam
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Key question for Doppler reconstruction
What are the coordinates of the first interaction of the gamma ray? In the past (and for the lazy folks): Use the Main Interaction, which is the interaction point with the highest energy deposition. In the days of tracking: Determine the track of the gamma ray and therefore the first interaction in the track. How I track: Go through all possible tracks/permutation of the interaction points reported in a crystal. Find track with smallest figure-of-merit FoM with angle θen computed from energies and Compton formula and θvec computed from coordinates.
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Some experimental results
Doppler-reconstructed spectra using MAIN INTERACTION (black) or TRACKED 1st INTERACTION (magenta) 275keV 1779keV
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1779keV, tracked and main interaction
Mpt: main interaction point Trkpt: tracked first interaction point For events with Mpt ≠ Trkpt using FIRST TRACKED INTERACTION using MAIN INTERACTION
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1779keV, tracked and main interaction
Mpt ≠ Trkpt Mpt used Mpt = Trkpt Mpt ≠ Trkpt Trkpt used
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diffFoM = FoMMpt – FoMTrk (always ≥ 0)
A FoMMpt can be found as the smallest FoM for all possible tracks with the Main Interaction point fixed as first interaction point. With FoMTrk being the FoM result from the tracking we define: diffFoM = FoMMpt – FoMTrk (always ≥ 0) Mpt used Trkpt used using MAIN INTERACTION using FIRST TRACKED INTERACTION diffFoM diffFoM
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Resolution and diffFoM
0.2 – 1.0 1.0 – 2.0 2.0 – 4.0 > 4.0 Trkpt used Mpt used Mpt Trkpt For small values of diffFoM and for large values: Use Main Interaction Point!
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Do we learn anything from the FoM value?
0 < diffFoM < 0.2 0.2 – 1.0 1.0 – 2.0 2.0 – 4.0 > 4.0 Trkpt used Mpt FoMTrk Trkpt FoMTrk
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A new hope ….(still 1779keV) Consider those events for which number of hit segments equals number of interaction points, i.e. events for which GRETINA decomposition put only ONE interaction per segment. Mpt used #Pts = #Seg Trkpt used #Pts = #Seg using MAIN INTERACTION FIRST TRACKED INTERACTION diffFoM diffFoM
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The case where Tracking beats Mpt
For events where GRETINA decomp put ONE interaction per segment AND for diffFoM in ‘mid-range’, the tracked 1st interaction leads to a better result for the Doppler reconstruction. Mpt used #Pts = #Seg Trkpt used #Pts = #Seg diffFoM diffFoM diffFOM in [0.1:1] Main interaction better diffFOM in [1:3] Tracked interaction better diffFOM in [3:10] Main interaction better
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Trkpt used #Pts = #Seg diffFoM [1:3]
diffFoM/FoM I couldn’t find any helpful meaning of the absolute value of the FoM for the Doppler correction. But how about diffFoM/FoM, as ‘relative improvement from Mpt to Trkpt’? Mpt used #Pts = #Seg Trkpt used #Pts = #Seg diffFoM/FoM diffFoM/FoM Mpt used #Pts = #Seg diffFoM [1:3] Trkpt used #Pts = #Seg diffFoM [1:3] diffFoM/FoM diffFoM/FoM
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What does the simulation say?
SIMULATION ucgretina, 1779keV, 6mm packing, NO SMEARING W=#pts W=#segs W=1 main interaction Large diffFoM Mpt better Tracked 1st interaction 17keV Mpt≠Trkpt Mpt used Mpt≠Trkpt Trkpt used Tracked 1st main interaction
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Conclusion As of now, for performing the Doppler-shift correction the use of the Main Interaction Point as first interaction point leads to better peak shapes and resolution then using the Tracked First Interaction Point from a state-of-the-art tracking algorithm purely based on the Compton-energy formula. Furthermore: Fast beam data with GRETINA is an excellent way to investigate position resolution and the ability of tracking algorithms to identify the first interaction point of a gamma-ray track. Fast beam data shown is available to everyone interested in it. Also the raw data (traces), allowing to do ‘decomp’ again (other fit, other basis, …)
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Discussion Many more slides
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n Reconstructed 1779keV, diffFoM with different weights W=#pts W=#segs
main interaction Tracked 1st interaction
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Reconstructed 1779keV, gated on events with (Num interaction == Num Segments)
W=#pts W=#segs W=1 Mpt Trkpt Main≠Tracked Main used Main≠Tracked Tracked used Tracked 1st
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n Normalized by peak amp Normalized by peak amp Log scale Linear scale
Experimental spectra: Black: all events, main interaction used (100%, FWHM 15.1keV, ~84000cts) Magenta: main interaction = tracked interaction (50%, FWHM 14.4keV, ~42000cts) Red: main = tracked, #interaction=#segments (11%, FWHM 13.3keV) Normalized by total counts in [1500:2000] Normalized by peak amp Linear scale Normalized by peak amp Log scale Not normalized
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n Comparison simulation with ‘realistic’ position resolution.
Black: simulated, ALL event and main interaction used Red: simulated, as black, but position smearing of sigma=1.8mm used Blue: In-beam data, events with #interaction=#hit segment, tracked=main interaction.
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n 19Ne, beta .3870 3.3%, 272keV NNDC: 275.1 21Ne, beta .3566
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n 23Na, beta .3586 23Na, beta .3580 1.5%, 439.7keV 1.3%, 627.7keV
NNDC: 440.0 23Na, beta .3580 1.3%, 627.7keV NNDC: 627.5
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n 30P, beta .3671 1.6%, 705.0keV NNDC: 708.7 26Al, beta .3716
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n 26Al, beta .3730 1.1%, 1011.2keV NNDC: 1011.7 24Mg, beta .3714
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n 28Si, beta .3722 0.9%, 1779.1keV NNDC:1779.0 24Mg, beta .3740
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n 28Si, beta .3746 0.9%, 2839.5keV NNDC:2838.3 28Si, beta .3763
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n 16O, beta .375 1.6%, 6116keV NNDC: 6129
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Decomp (Mpt) vs segment based
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