Muon energy reconstruction with rime
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Transcript of Muon energy reconstruction with rime
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Muon energy reconstruction with rime
Dmitry Chirkin, LBNL
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Energy reconstruction
log!loglog}){|}({log1 1
NnnnP i
k
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From Gary’s talk:
usual hit positional/timing likelihood energy density terms
From Chrisopher W. reconstruction paper:
Therefore, w=1
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Muon energy reconstruction
Energy can then be reconstructed using
Area . Nc [m] = 32440 [m-1] (1.22+1.36 . 10-3 E/[GeV]) . 81 cm2
The number of photons vs. distance to the track is constructed by merging 2 approximations: for the near and far (diffuse) regions. It works remarkably well (e.g., compared to similar approach for cascades).
The reconstructed parameter is number of photons per unit length of the muon track times the effective PMT area.
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Dataset
Dataset used for energy calibration is nugen simulation, at cut level of A=4 (corresponding to the angular resolution of 4 degrees)
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Energy proxies
Energy is estimated of the muon at the point of the closest approach to the COG of hits
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Energy resolution plots
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Energy proxy parameterization
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Energy exact vs. reconstructed
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Energy: exact vs. reconstructed
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Energy resolution plots
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Linearity/precision (rms)
Linearity holds and rms is 0.3 at log10(E) from 4.4 to 7.4
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Linearity/precision (rms)For MC weighted with Honda spectrum
Linearity holds and rms is 0.3 at log10(E) from 3.6 to 7.6
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Applying muon energy reconstruction to CORSIKA simultated data
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Applying muon energy reconstruction to CORSIKA simultated data
Using only events with 1 contributing muon
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No cuts/basic cuts
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No cuts/basic cuts – Honda weighted
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Summary
• Muon energy reconstruction with rime works very well and is a results of a joint reconstruction
• at the final upgoing muon signal cut level energy reconstruction works well in over 4 orders of magnitude of energies from 103.6 to 107.6 GeV with rms of 0.3.
• energy reconstruction appears to be functional at lower cut levels as well as for the downgoing shower data, with reduced resolution and narrower energy range.