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Ground Detectors for the Study of Cosmic Ray Showers. Luis Villaseñor-UMSNH In coll. with the group of Humberto Salazar- BUAP. SECOND SCHOOL ON COSMIC RAYS AND ASTROPHYSICS Puebla, México September 7 , 2006. Contents. Single Liquid Scintillator (LS) Detector
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Ground Detectors for the Study of Cosmic Ray Showers Luis Villaseñor-UMSNH In coll. with the group of Humberto Salazar- BUAP SECOND SCHOOL ON COSMIC RAYS AND ASTROPHYSICS Puebla, México September 7, 2006
Contents • Single Liquid Scintillator (LS) Detector • Single Water Cherenkov (WC) Detector • Composition of showers with known m/EM anduse of neural networks • Hybrid EAS-UAP Ground Array to Study CRs with Energies around 1015 eV • Conclusions
Single Liquid Scintillator (LS) Detector
35 l liquid Scintillator + 2 inch PMT + simple electronics
1.3 million double-pulse events 2 MeV/cm I ~ 1 cm-2min-1
t1= t =2.208 +- 0.027 ms t2=1.979 +- 0.039 ms Gc = t2-1 - t1-1= 0.050.01 ms-1 m+/m - =1.28 +-0.06
Measurement of the lifetimes of Pions and Kaons using this simple setup is (maybe) possible
Single Water Cherenkov (WC) Detector
Rotoplas Tank Inner D = 1.54 m 8 inch PMT 2200 l distilled water up to 1.2 m (1/5 in volume of Auger tanks) Tyvek used as inside liner
Measure Charge, Amplitude,T10-50,T10-90 with good precision for three different triggers. Arbitrary muons threshold of 30 mV
LabView based DAS
No PMT Glass Cherenkov signal
With PMT Glass Cherenkov signal
No PMT Glass Cherenkov signal
With PMT Glass Cherenkov signal
Low Charge Peak=0.12 VEM R muon = 876 Hz R EM = 80 Hz R shower (Q>7VEM) = 1 Hz Not an Artifact due to V threshold
0.12 VEM <E> = 0.12 VEM x 240 MeV/VEM = 29 MeV for knock-on electrons
Shaded hist. shows electrons selected for Q/A < .5 risetime < .5 With E~ 10.8 MeV
Muon Decay in a WC Detector Raw Data With cut C2 > C1 t = 2.08 +- .12ms
Stopping muon at 0.95 VEM Decay electron at 0.17 VEM <E> = 41 +- 11 MeV for decay electrons Crossing muon at 1.05 VEM Alarcón M. et al., NIM A 420 [1-2], 39-47 (1999).
Composition of showers with known m/EM anduse of neural networks
Nm/Ne Strongly Correlated With Primary Mass, i.e. ~2 x for Fe wrt p
Use low energy data to get real m and EM traces to eliminate systematics due to detector simulation Look here To understand there
Stopping muon or electron Q~0.12 VEM (9 pe) T12~3ns Isolated Muon Q~1 VEM (74 pe) T12~12 ns Shower Q>7 VEM (500 pe) T12>15ns
Data trace Q=7.8 VEM 8 muons 15 ns 4 muons, 15ns 33 “electrons” 25 ns 66 “electrons” 25 ns
Training and Clasification Results for a Kohonen Neural Network 4 features as input (Charge, Amplitude, T10-50, T1090) 8 Neurons in first layer 4 in second layer 2 or 3 classes as output (8m, 4m + 33e, 66e)
Conclusions Clear separation of muons, electrons, PMT interactions and showers in a single WCD Rise time 10-50% is linear with Q/V Neural Networks classify composed events of muons and electrons better than randomly Shower data is dominated by muons To do: Apply to Auger with 25 ns sampling time.
EAS-UAP Ground Array to Study CRs with Energies around 1015 eV in coll. With BUAP: Humberto Salazar, Oscar Martínez, César Alvarez + Estudiantes del Grupo de la FCFM-BUAP Facultad de Físico-Matemáticas, Benemérita Universidad Autónoma de Puebla, Apartado Postal 1364, Puebla, Pue., 72000, México
At an energy of approximately3 PeVthe spectral index steepens (“knee”). • To understand thereason for the knee, one must understand thesource, acceleration mechanism, and propagationof cosmic rays. • First-order Fermiaccelerationhas a cutoff energy (protons to 1014 eV and Iron to 3 x 1015 eV) • Observing the mass composition of cosmicrays at the knee therefore provides an importantclue to the origin of cosmic rays.