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MIDAS: Identifying particle masses with TRASGOS
Teresa Kurtukian-NietoCEN Bordeaux-Gradignan
Santiago de Compostela, February 5th 2010
February 5th 2010 2Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Outline
MIDAS: MultisamplIng iDentification of pArticleS
Matlab simulation: first results
Geant4 simulation: SETA: Simulation Environment for TrAsgo
Summary and outlook
February 5th 2010 3Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
MIDAS: MultisamplIng iDentification of pArticleS
February 5th 2010 4Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
MIDAS: MultisamplIng iDentification of pArticleS
February 5th 2010 5Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Matlab simulation: first results
February 5th 2010 6Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Matlab simulation: first results
February 5th 2010 7Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Matlab simulation: first results
February 5th 2010 8Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Matlab simulation: first results
February 5th 2010 9Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
TRASGO view by SETA
D. Gonzalez Diaz
February 5th 2010 10Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Geant4 simulation SETA
February 5th 2010 11Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Geant4 simulation SETA
February 5th 2010 12Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Summary and Outlook
Low-energy electrons give values for the reduced chi-squared much higher than high-energy muons, even by increasing the thickness of the absorbent or the material, being possible as a consequence to distinguish muons and electrons below 500 MeV.
Protons could be identified for the same energy regime, by the measurement of velocity which is always smaller than the one for muons and electrons. By increasing the number of active planes it can be possible to cut low-energy charged particles up to the desired level.
In general, protons, muons and electrons shows clusters at different zones on the beta-chi-squared plots, however an important overlapping is also present.
Next steps in this analysis will be to perform a full simulation under Geant4 (SETA) which will allows one to get more realistic results.
Once this analysis on velocity and chi-squared can be correlated with the arrival time, azimuthal and zenital angles, distance to the core of the shower, etc, the discrimination between particles in case of ambiguity will be possible
February 5th 2010 13Teresa Kurtukian Nieto, CENBG 2nd Workshop TRASGO Project
Thank you Thank you
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