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Actualizaciones de Calibracion en el Detector TestBeam del Experimento MINERνA como futura
referencia para mejoras en Detectores de Neutrinos
Edgar Chavarria
Universidad Nacional de Ingenieria
August 23, 2018
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 1 / 45
Contenido
1 Introduccion
2 Test Beam II
3 Trabajos previos
4 Incertidumbres
5 Plots y resultados
6 Conclusiones
7 Slides de Respaldo
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 2 / 45
Introduccion
Es un hecho conocido que algunos centelladores son sensibles acambios de temperatura [William Leo], del mismo modo el PMTtambien puede estar sujeto a dichos cambios.
En este trabajo se muestra como pequenos cambios en temperaturaen el anodo del PMT (Hamamatsu H8804MOD-2 multi-anodo)alteran la ganancia (factor de amplificacion).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 3 / 45
Test Beam II
El detector TB toma tres configuraciones: Electromagnetic Cal +Hadronic Cal (EH), Tracker + Electromagnetic Cal (TE) and SuperHcal.
Figure: Imagen en escala del detector Test Beam I
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 4 / 45
Test Beam II
ScintillatorSe usa un poliestireno dopado con %1 PPO (2,5-diphenyloxazole) y%0.03 POPOP (1,4-bis(5-phenyloxazol-2-yl)benzene)
H8804MOD-2
Figure: Vista frontal del H8804MOD-2
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 5 / 45
Test Beam II
Figure: Principales caracteristicas del H8804MOD-2Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 6 / 45
Test Beam II
Eficiencia cuanticaLa eficiencia en la conversion de PE varia fuertemente con lafrecuencia de la luz incidente y la estructura del catodo del PMT.
n(λ) =Numero of PE emitidos
Numero de fotones incidentes en el catodo (λ)(1)
En este caso se ha usado el Hamamatsu H8804MOD-2 multi-anodo
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 7 / 45
Test beam II
Figure: Tipica respuesta espectral del H8804MOD-2
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 8 / 45
Test beam II
Figure: Esquema de un run
”Light Injection(LI)” AlGaInP LED (Azul) pico max = 472nm. Elpulso del LED dura 30ns con 0.5 Hz.
”Pedestal(Ped)” Se toma datos de ”pedestal” en una ventana de16µs durante 27 min cada 10.5 h.
”Beam” Se toma datos en modo ”beam” en una ventana de 10µscon 0.5 Hz.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 9 / 45
Test beam II
Figure: Esquema de cintillador+PMT en TB en ”Beam mode”
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 10 / 45
Test beam II
Figure: Arreglo experimental de ”LI mode”
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 11 / 45
Figure: Tıpico arreglo del PMT en ”LI mode”
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 12 / 45
Test beam II
Figure: Vista interior/exterior de los ”end plates” usados en ”LI mode”
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 12 / 45
Trabajos previos
Estos trabajos iniciales [Chris Marshall] muestran indicios noconclusivos de una posible dependencia de la ganancia con latemperatura.
Figure: Plots muestran evidencia del efecto de la temperatura sobre la ganancia.Izquierda para la configuracion EH y derecha para la configuracion TE (ChrisMarshal, Fermilab 2012)
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 13 / 45
Trabajos previos
Figure: Plot muestra el comportamineto de la temperatura sobre la ganancia.Este plot es de la colaboracion DAMPER que busca evidencia de materia oscura.Esta colaboracion uso el PMT Hamamatsu R4443 (Chinese Physics C Vol. 41,No. 1 (2017) 016001)
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 14 / 45
Formulas e incerditumbres
g =σ2N − σ2PQ(1 + w2)
(2)
Q is the mean pedestal-subtracted charge of the PMT chargeDistribucion.
σ(Q) is the sample width of the channels PMT charge Distribucion.
σ(P) is the sample width of the channels pedestal Distribucion.
1 + w(g)2 is a correction factor that can be expanded in series.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 15 / 45
Formulas e incerditumbres
σg = g
√2
(σ2Q − σ2P)2(
σ4QNQ − 1
+σ4P
NP − 1) +
1
Q2(σ2QNQ
+σ2PNP
) (3)
NQ Number of gates in the channels PMT charge Distribucion.
NP Number of gates in the pedestal Distribucion.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 16 / 45
Plots y resultados
hEntries 2836Mean 24.45Std Dev 0.9741
20 22 24 26 28 30 32 34 36 38 40T (C)
0
50
100
150
200
250
300
hEntries 2836Mean 24.45Std Dev 0.9741
distribution, AprilRoomT
Figure: Distribucion Troom (todos FEB) desde Abril 6, 2015 17 : 23 : 20 hastaAbril 21, 2015 03 : 08 : 48
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 17 / 45
Plots y resultados
hEntries 14125
Mean 24.78
Std Dev 2.123
20 22 24 26 28 30 32 34 36 38 40T (C)
0
100
200
300
400
500
600
700
800
hEntries 14125
Mean 24.78
Std Dev 2.123
distribution, MayJulyRoomT
Figure: Distribucion Troom (todos FEB) desde Abril 24, 2015 05 : 22 : 48 hastaJulio 1, 2015 12 : 55 : 24
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 18 / 45
Plots y resultados
h1Entries 1.363246e+07
Mean 30.1
Std Dev 0.7464
22 24 26 28 30 32 34T_Chip (C)
0
100
200
300
400
500
600
700
800
310× h1
Entries 1.363246e+07
Mean 30.1
Std Dev 0.7464
distribution, AprilChipT
Figure: Distribucion Tchip (todos FEB) desde Abril 6, 2015 17 : 23 : 20 hastaAbril 21, 2015 03 : 08 : 48
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 19 / 45
Plots y resultados
h1Entries 8412820
Mean 29.12
Std Dev 2.256
22 24 26 28 30 32 34T_Chip (C)
0
100
200
300
400
500
600
700
310× h1
Entries 8412820
Mean 29.12
Std Dev 2.256
distribution, MayJulyChip
T
Figure: Distribucion Tchip (todos FEB) desde April 24, 2015 05 : 22 : 48 hastaJulio 1, 2015 12 : 55 : 24
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 20 / 45
Plots y resultados
23.5 24 24.5 25 25.5T_room(C)
505
505.5
506
506.5
507
507.5
5083
10×
Gain
s / ndf 2χ 1.688 / 4
p0 1495± 5.264e+05
p1 61.98±808 −
/ ndf 2χ 1.688 / 4
p0 1495± 5.264e+05
p1 61.98±808 −
Weighted UncertantiesAprilFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Troom en Abril (configuracion EH).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 21 / 45
Plots y resultados
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2T_chip(C)
505
505.5
506
506.5
507
507.5
5083
10×
Gain
s / ndf 2χ 13.52 / 4
p0 2261± 5.332e+05
p1 75.14±872.8 −
/ ndf 2χ 13.52 / 4
p0 2261± 5.332e+05
p1 75.14±872.8 −
Weighted UncertantiesAprilFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Tchip en Abril (configuracion EH).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 22 / 45
Plots y resultados
23.6 23.8 24 24.2 24.4 24.6T_room(C)
507.4
507.6
507.8
508
508.2
508.4
508.6
310×
Gain
s / ndf 2χ 16.52 / 2
p0 5059± 5.215e+05
p1 211.6±550.6 −
/ ndf 2χ 16.52 / 2
p0 5059± 5.215e+05
p1 211.6±550.6 −
, Uncertainties=WeightedMayJulyFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Troom en mayo-julio (configuracion SuperHcal).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 23 / 45
Plots y resultados
30 30.1 30.2 30.3 30.4 30.5 30.6 30.7 30.8 30.9T_chip(C)
507.4
507.6
507.8
508
508.2
508.4
508.6
508.8
310×
Gain
s / ndf 2χ 15.81 / 2
p0 6113± 5.301e+05
p1 201.1±715.9 −
/ ndf 2χ 15.81 / 2
p0 6113± 5.301e+05
p1 201.1±715.9 −
, Uncertainties=WeightedMayJulyFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Tchip en mayo-julio (configuracion SuperHcal).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 24 / 45
Conclusiones
Como se vio en trabajos anteriores ([C. Marshal] y [Chinese Physics CVol. 41, No. 1 (2017) 016001]) habıa indicios suficientes para iniciarun estudio detallado sobre la dependencia de la ganancia de los PMTscon la temperatura.
Tanto para la configuracion EH (plots en rojo) como SuperHcal (plotsen azul) se observa la disminucion de la ganancia cuando seincrementa la temperatura.
Tchip es mayor a Troom en promedio en 5C , apesar de eso la taza a lacual se pierde la ganancia es en promedio la misma con respecto acada configuraciıon.
Estos resultados sugieren que la eficiencia cuantica es afectada por latemperatura, es decir los PE que se encuentran en el catodo semueven erraticamente y complica su movimiento hacia la cadena dedinodos.
Las comtribuciones de Troom y Tchip son practicamente las mismasdebido a que se observa el comportamiento estadistico promedio.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 25 / 45
Conclusiones
Como una labor colateral y adicional en el experimento, pero norelacionada 100% (solo un 10% porque fue en la adquicion yverificacion de la calidad de los datos) se ha publicado :
- E. Chavarria, J. Solano et al. Measurement of total and differentialcross sections of neutrino and antineutrino coherent π± production oncarbon. PHYSICAL REVIEW D 97, 032014 (2018)
- E. Chavarria, J. Solano et al. Measurement of the muon antineutrinodouble-differential cross section for quasielastic-like scattering onhydrocarbon at Eν ∼ 3.5GeV . PHYSICAL REVIEW D 97, 052002(2018)
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 26 / 45
Gracias!
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 27 / 45
Slides de Respaldo
T_room(C)23.5 24 24.5 25 25.5
Ga
ins
532
533
534
535
536
537
3
10× / ndf 2χ 7.953 / 4p0 9618± 5.624e+05
p1 399.1± 1134
/ ndf 2χ 7.953 / 4p0 9618± 5.624e+05
p1 399.1± 1134
Weighted UncertantiesAprilFEB_101,
23.5 24 24.5 25 25.5
511
512
513
514
515
516
517
3
10× / ndf 2χ 1.779 / 4p0 8712± 5.526e+05
p1 361.5± 1538
/ ndf 2χ 1.779 / 4p0 8712± 5.526e+05
p1 361.5± 1538
Weighted UncertantiesAprilFEB_102,
23.5 24 24.5 25 25.5
523
523.5
524
524.5
525
525.5
526
526.5
527
527.5
3
10× / ndf 2χ 2.453 / 4p0 9974± 5.124e+05
p1 414± 495
/ ndf 2χ 2.453 / 4p0 9974± 5.124e+05
p1 414± 495
Weighted UncertantiesAprilFEB_103,
23.5 24 24.5 25 25.5
484.5
485
485.5
486
486.5
487
487.5
488
488.5
3
10× / ndf 2χ 4.023 / 4p0 8414± 4.965e+05
p1 349.2± 421.6
/ ndf 2χ 4.023 / 4p0 8414± 4.965e+05
p1 349.2± 421.6
Weighted UncertantiesAprilFEB_104,
23.5 24 24.5 25 25.5531
532
533
534
535
536
537
3
10× / ndf 2χ 2.714 / 4p0 9526± 5.55e+05
p1 395.3± 825.7
/ ndf 2χ 2.714 / 4p0 9526± 5.55e+05
p1 395.3± 825.7
Weighted UncertantiesAprilFEB_111,
23.5 24 24.5 25 25.5
488.5
489
489.5
490
490.5
491
491.5
492
492.5
493
3
10× / ndf 2χ 1.44 / 4p0 9317± 5.21e+05 p1 386.6± 1233
/ ndf 2χ 1.44 / 4p0 9317± 5.21e+05 p1 386.6± 1233
Weighted UncertantiesAprilFEB_113,
23.5 24 24.5 25 25.5
532
533
534
535
536
537
538
539
540
3
10× / ndf 2χ 4.646 / 4p0 9366± 5.703e+05 p1 388.7± 1374
/ ndf 2χ 4.646 / 4p0 9366± 5.703e+05 p1 388.7± 1374
Weighted UncertantiesAprilFEB_114,
23.5 24 24.5 25 25.5
500
501
502
503
504
505
506
3
10× / ndf 2χ 2.376 / 4p0 8573± 5.399e+05 p1 355.8± 1472
/ ndf 2χ 2.376 / 4p0 8573± 5.399e+05 p1 355.8± 1472
Weighted UncertantiesAprilFEB_131,
23.5 24 24.5 25 25.5
468
469
470
471
472
473
474
3
10× / ndf 2χ 4.176 / 4p0 8629± 5.076e+05 p1 358.1± 1475
/ ndf 2χ 4.176 / 4p0 8629± 5.076e+05 p1 358.1± 1475
Weighted UncertantiesAprilFEB_132,
23.5 24 24.5 25 25.5
511
511.5
512
512.5
513
513.5
514
3
10× / ndf 2χ 0.8321 / 4p0 9112± 5.26e+05 p1 378.1± 536.8
/ ndf 2χ 0.8321 / 4p0 9112± 5.26e+05 p1 378.1± 536.8
Weighted UncertantiesAprilFEB_133,
23.5 24 24.5 25 25.5
482
483
484
485
486
487
488
3
10× / ndf 2χ 15.03 / 4
p0 8447± 5.261e+05 p1 350.5± 1681
/ ndf 2χ 15.03 / 4
p0 8447± 5.261e+05 p1 350.5± 1681
Weighted UncertantiesAprilFEB_134,
23.5 24 24.5 25 25.5
521
522
523
524
525
526
527
528
529
3
10× / ndf 2χ 2.869 / 4
p0 9081± 5.871e+05 p1 376.8± 2515
/ ndf 2χ 2.869 / 4
p0 9081± 5.871e+05 p1 376.8± 2515
Weighted UncertantiesAprilFEB_201,
23.5 24 24.5 25 25.5
493
493.5
494
494.5
495
495.5
496
3
10× / ndf 2χ 0.1357 / 4
p0 8231± 4.831e+05 p1 341.6± 453.2
/ ndf 2χ 0.1357 / 4
p0 8231± 4.831e+05 p1 341.6± 453.2
Weighted UncertantiesAprilFEB_202,
23.5 24 24.5 25 25.5
479
480
481
482
483
484
3
10× / ndf 2χ 12.84 / 4
p0 8035± 5.007e+05 p1 333.5± 817.1
/ ndf 2χ 12.84 / 4
p0 8035± 5.007e+05 p1 333.5± 817.1
Weighted UncertantiesAprilFEB_203,
23.5 24 24.5 25 25.5
505.5
506
506.5
507
507.5
508
3
10× / ndf 2χ 2.749 / 4
p0 8498± 4.982e+05 p1 352.7± 346.8
/ ndf 2χ 2.749 / 4
p0 8498± 4.982e+05 p1 352.7± 346.8
Weighted UncertantiesAprilFEB_204,
23.5 24 24.5 25 25.5
490
491
492
493
494
3
10× / ndf 2χ 11.59 / 4
p0 8538± 5.168e+05 p1 354.3± 1028
/ ndf 2χ 11.59 / 4
p0 8538± 5.168e+05 p1 354.3± 1028
Weighted UncertantiesAprilFEB_205,
23.5 24 24.5 25 25.5
521
521.5
522
522.5
523
523.5
524
524.5
3
10× / ndf 2χ 4.023 / 4
p0 8762± 5.276e+05 p1 363.7± 215.9
/ ndf 2χ 4.023 / 4
p0 8762± 5.276e+05 p1 363.7± 215.9
Weighted UncertantiesAprilFEB_211,
23.5 24 24.5 25 25.5
495
496
497
498
499
500
501
3
10× / ndf 2χ 9.195 / 4
p0 8829± 5.374e+05 p1 366.4± 1621
/ ndf 2χ 9.195 / 4
p0 8829± 5.374e+05 p1 366.4± 1621
Weighted UncertantiesAprilFEB_212,
23.5 24 24.5 25 25.5
492.5
493
493.5
494
494.5
495
495.5
496
3
10× / ndf 2χ 1.825 / 4
p0 9104± 5.085e+05 p1 377.8± 581.1
/ ndf 2χ 1.825 / 4
p0 9104± 5.085e+05 p1 377.8± 581.1
Weighted UncertantiesAprilFEB_213,
23.5 24 24.5 25 25.5
530
531
532
533
534
535
536
537
538
3
10× / ndf 2χ 2.573 / 4
p0 1.473e+04± 5.754e+05
p1 611.2± 1653
/ ndf 2χ 2.573 / 4
p0 1.473e+04± 5.754e+05
p1 611.2± 1653
Weighted UncertantiesAprilFEB_214,
Figure: Plots muestran la ganancia PMT como una funcion de Troom en abril(configuration EH).Tubos PMT del 1 al 20.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 28 / 45
Slides de Respaldo
23.5 24 24.5 25 25.5T_room(C)
573
574
575
576
577
578
3
10×
Gain
s / ndf 2χ 2.429 / 4
p0 1.043e+04± 5.967e+05
p1 432.5±861.5 −
/ ndf 2χ 2.429 / 4
p0 1.043e+04± 5.967e+05
p1 432.5±861.5 −
Weighted UncertantiesAprilFEB_221,
23.5 24 24.5 25 25.5
579
580
581
582
583
584
3
10× / ndf 2χ 5.65 / 4
p0 1.034e+04± 5.955e+05
p1 428.7±531.6 −
/ ndf 2χ 5.65 / 4
p0 1.034e+04± 5.955e+05
p1 428.7±531.6 −
Weighted UncertantiesAprilFEB_222,
23.5 24 24.5 25 25.5
494
495
496
497
498
499
3
10× / ndf 2χ 7.906 / 4p0 9200± 4.952e+05
p1 381.5± 95.72
/ ndf 2χ 7.906 / 4p0 9200± 4.952e+05
p1 381.5± 95.72
Weighted UncertantiesAprilFEB_223,
23.5 24 24.5 25 25.5
484.5
485
485.5
486
486.5
487
487.5
488
3
10× / ndf 2χ 1.575 / 4p0 9216± 5.011e+05
p1 382.1±587.3 −
/ ndf 2χ 1.575 / 4p0 9216± 5.011e+05
p1 382.1±587.3 −
Weighted UncertantiesAprilFEB_224,
23.5 24 24.5 25 25.5
511
512
513
514
515
516
3
10× / ndf 2χ 6.83 / 4p0 9035± 5.099e+05
p1 374.6± 93.17
/ ndf 2χ 6.83 / 4p0 9035± 5.099e+05
p1 374.6± 93.17
Weighted UncertantiesAprilFEB_231,
23.5 24 24.5 25 25.5
505
506
507
508
509
510
511
3
10× / ndf 2χ 1.816 / 4p0 9336± 5.423e+05
p1 387±1392 −
/ ndf 2χ 1.816 / 4p0 9336± 5.423e+05
p1 387±1392 −
Weighted UncertantiesAprilFEB_232,
23.5 24 24.5 25 25.5
483
484
485
486
487
488
3
10× / ndf 2χ 5.48 / 4p0 8496± 4.818e+05
p1 352.3± 112.8
/ ndf 2χ 5.48 / 4p0 8496± 4.818e+05
p1 352.3± 112.8
Weighted UncertantiesAprilFEB_233,
23.5 24 24.5 25 25.5531
532
533
534
535
536
537
3
10× / ndf 2χ 9.553 / 4p0 9900± 5.524e+05
p1 410.4±758.3 −
/ ndf 2χ 9.553 / 4p0 9900± 5.524e+05
p1 410.4±758.3 −
Weighted UncertantiesAprilFEB_234,
23.5 24 24.5 25 25.5
520
521
522
523
524
525
526
3
10× / ndf 2χ 7.175 / 4p0 9257± 5.569e+05
p1 383.8±1391 −
/ ndf 2χ 7.175 / 4p0 9257± 5.569e+05
p1 383.8±1391 −
Weighted UncertantiesAprilFEB_301,
23.5 24 24.5 25 25.5
532
533
534
535
536
537
538
539
3
10× / ndf 2χ 5.631 / 4p0 9542± 5.722e+05
p1 395.6±1431 −
/ ndf 2χ 5.631 / 4p0 9542± 5.722e+05
p1 395.6±1431 −
Weighted UncertantiesAprilFEB_302,
23.5 24 24.5 25 25.5476
477
478
479
480
481
482
483
484
3
10× / ndf 2χ 4.772 / 4p0 8899± 5.208e+05
p1 368.9±1612 −
/ ndf 2χ 4.772 / 4p0 8899± 5.208e+05
p1 368.9±1612 −
Weighted UncertantiesAprilFEB_303,
23.5 24 24.5 25 25.5
509
510
511
512
513
3
10× / ndf 2χ 0.1058 / 4p0 9668± 5.374e+05
p1 400.8±1072 −
/ ndf 2χ 0.1058 / 4p0 9668± 5.374e+05
p1 400.8±1072 −
Weighted UncertantiesAprilFEB_304,
23.5 24 24.5 25 25.5
503.5
504
504.5
505
505.5
506
506.5
3
10× / ndf 2χ 4.636 / 4p0 9153± 5.092e+05
p1 379.5±180.3 −
/ ndf 2χ 4.636 / 4p0 9153± 5.092e+05
p1 379.5±180.3 −
Weighted UncertantiesAprilFEB_305,
23.5 24 24.5 25 25.5
499
499.5
500
500.5
501
501.5
502
502.5
3
10× / ndf 2χ 3.008 / 4p0 9684± 5.105e+05
p1 401.5±388.7 −
/ ndf 2χ 3.008 / 4p0 9684± 5.105e+05
p1 401.5±388.7 −
Weighted UncertantiesAprilFEB_311,
23.5 24 24.5 25 25.5
491
492
493
494
495
496
497
3
10× / ndf 2χ 4.253 / 4p0 9533± 5.204e+05
p1 395.2±1040 −
/ ndf 2χ 4.253 / 4p0 9533± 5.204e+05
p1 395.2±1040 −
Weighted UncertantiesAprilFEB_312,
23.5 24 24.5 25 25.5
482
483
484
485
486
487
3
10× / ndf 2χ 6.356 / 4p0 9072± 4.917e+05
p1 376.1±297.9 −
/ ndf 2χ 6.356 / 4p0 9072± 4.917e+05
p1 376.1±297.9 −
Weighted UncertantiesAprilFEB_313,
23.5 24 24.5 25 25.5509
509.5
510
510.5
511
511.5
512
512.5
513
3
10× / ndf 2χ 2.347 / 4p0 9422± 5.135e+05
p1 390.7±120.8 −
/ ndf 2χ 2.347 / 4p0 9422± 5.135e+05
p1 390.7±120.8 −
Weighted UncertantiesAprilFEB_314,
23.5 24 24.5 25 25.5
474
475
476
477
478
479
3
10× / ndf 2χ 6.574 / 4p0 8459± 4.906e+05
p1 350.7±547.8 −
/ ndf 2χ 6.574 / 4p0 8459± 4.906e+05
p1 350.7±547.8 −
Weighted UncertantiesAprilFEB_321,
23.5 24 24.5 25 25.5566
567
568
569
570
571
3
10× / ndf 2χ 6.947 / 4p0 1.162e+04± 5.97e+05
p1 481.6±1163 −
/ ndf 2χ 6.947 / 4p0 1.162e+04± 5.97e+05
p1 481.6±1163 −
Weighted UncertantiesAprilFEB_322,
23.5 24 24.5 25 25.5
467
468
469
470
471
472
3
10× / ndf 2χ 8.437 / 4p0 8346± 4.855e+05
p1 346±660.5 −
/ ndf 2χ 8.437 / 4p0 8346± 4.855e+05
p1 346±660.5 −
Weighted UncertantiesAprilFEB_323,
Figure: Plots muestran la ganancia PMT como una funcion de Troom en abril(configuration EH).Tubos PMT del 21 al 40.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 29 / 45
Slides de Respaldo
29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4T_chip(C)
532
533
534
535
536
537
3
10×
Gain
s / ndf 2χ 3.551 / 4
p0 1.665e+04± 5.836e+05
p1 546.3±1589 −
/ ndf 2χ 3.551 / 4
p0 1.665e+04± 5.836e+05
p1 546.3±1589 −
Weighted UncertantiesAprilFEB_101,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
513
514
515
516
517
3
10× / ndf 2χ 5.156 / 4
p0 1.405e+04± 5.602e+05
p1 466±1485 −
/ ndf 2χ 5.156 / 4
p0 1.405e+04± 5.602e+05
p1 466±1485 −
Weighted UncertantiesAprilFEB_102,
28.6 28.8 29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6
523
523.5
524
524.5
525
525.5
526
526.5
527
3
10× / ndf 2χ 1.602 / 4p0 1.568e+04± 5.03e+05
p1 530.1± 718.7
/ ndf 2χ 1.602 / 4p0 1.568e+04± 5.03e+05
p1 530.1± 718.7
Weighted UncertantiesAprilFEB_103,
29.5 30 30.5 31 31.5
484.5
485
485.5
486
486.5
487
487.5
4883
10× / ndf 2χ 3.94 / 4
p0 1.306e+04± 5.069e+05
p1 428.6±673.5 −
/ ndf 2χ 3.94 / 4
p0 1.306e+04± 5.069e+05
p1 428.6±673.5 −
Weighted UncertantiesAprilFEB_104,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4
533
533.5
534
534.5
535
535.5
536
536.5
537
537.5
3
10× / ndf 2χ 2.551 / 4
p0 1.551e+04± 5.559e+05
p1 513±684.9 −
/ ndf 2χ 2.551 / 4
p0 1.551e+04± 5.559e+05
p1 513±684.9 −
Weighted UncertantiesAprilFEB_111,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2489
490
491
492
493
494
3
10× / ndf 2χ 12.46 / 4
p0 1.649e+04± 5.202e+05
p1 544.3±961 −
/ ndf 2χ 12.46 / 4
p0 1.649e+04± 5.202e+05
p1 544.3±961 −
Weighted UncertantiesAprilFEB_113,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4533
534
535
536
537
538
539
540
3
10× / ndf 2χ 7.065 / 4p0 1.475e+04± 5.9e+05
p1 488.2±1751 −
/ ndf 2χ 7.065 / 4p0 1.475e+04± 5.9e+05
p1 488.2±1751 −
Weighted UncertantiesAprilFEB_114,
28.8 29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6
501
502
503
504
505
506
3
10× / ndf 2χ 1.45 / 4
p0 1.438e+04± 5.696e+05
p1 485.8±2198 −
/ ndf 2χ 1.45 / 4
p0 1.438e+04± 5.696e+05
p1 485.8±2198 −
Weighted UncertantiesAprilFEB_131,
29 29.5 30 30.5 31468
469
470
471
472
473
474
3
10× / ndf 2χ 5.896 / 4
p0 1.329e+04± 5.146e+05
p1 444.2±1415 −
/ ndf 2χ 5.896 / 4
p0 1.329e+04± 5.146e+05
p1 444.2±1415 −
Weighted UncertantiesAprilFEB_132,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
511.5
512
512.5
513
513.5
514
514.5
515
3
10× / ndf 2χ 1.637 / 4p0 1.4e+04± 5.362e+05
p1 464.4±765.6 −
/ ndf 2χ 1.637 / 4p0 1.4e+04± 5.362e+05
p1 464.4±765.6 −
Weighted UncertantiesAprilFEB_133,
29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8
480
481
482
483
484
485
486
487
488
3
10× / ndf 2χ 27.58 / 4
p0 1.372e+04± 5.444e+05
p1 461.6±1980 −
/ ndf 2χ 27.58 / 4
p0 1.372e+04± 5.444e+05
p1 461.6±1980 −
Weighted UncertantiesAprilFEB_134,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
522
524
526
528
530
3
10× / ndf 2χ 3.548 / 4
p0 1.563e+04± 6.373e+05
p1 517.9±3667 −
/ ndf 2χ 3.548 / 4
p0 1.563e+04± 6.373e+05
p1 517.9±3667 −
Weighted UncertantiesAprilFEB_201,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
492.5
493
493.5
494
494.5
495
495.5
3
10× / ndf 2χ 4.57 / 4
p0 1.319e+04± 4.772e+05
p1 437.1± 557.9
/ ndf 2χ 4.57 / 4
p0 1.319e+04± 4.772e+05
p1 437.1± 557.9
Weighted UncertantiesAprilFEB_202,
28.6 28.8 29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6
479
479.5
480
480.5
481
481.5
482
482.5
483
3
10× / ndf 2χ 3.116 / 4p0 1.246e+04± 5.12e+05
p1 420.3±1047 −
/ ndf 2χ 3.116 / 4p0 1.246e+04± 5.12e+05
p1 420.3±1047 −
Weighted UncertantiesAprilFEB_203,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31505
505.5
506
506.5
507
507.5
508
3
10× / ndf 2χ 1.969 / 4p0 1.363e+04± 5.04e+05
p1 453.3± 81.61
/ ndf 2χ 1.969 / 4p0 1.363e+04± 5.04e+05
p1 453.3± 81.61
Weighted UncertantiesAprilFEB_204,
29.5 30 30.5 31 31.5
490
490.5
491
491.5
492
492.5
493
493.5
3
10× / ndf 2χ 8.57 / 4
p0 1.363e+04± 5.246e+05
p1 447.8±1068 −
/ ndf 2χ 8.57 / 4
p0 1.363e+04± 5.246e+05
p1 447.8±1068 −
Weighted UncertantiesAprilFEB_205,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
520.5
521
521.5
522
522.5
523
523.5
524
3
10× / ndf 2χ 3.411 / 4
p0 1.449e+04± 5.386e+05
p1 479.5±536 −
/ ndf 2χ 3.411 / 4
p0 1.449e+04± 5.386e+05
p1 479.5±536 −
Weighted UncertantiesAprilFEB_211,
29.5 30 30.5 31 31.5
494
495
496
497
498
499
500
501
502
3
10× / ndf 2χ 14.68 / 4
p0 1.518e+04± 5.613e+05
p1 500.2±2077 −
/ ndf 2χ 14.68 / 4
p0 1.518e+04± 5.613e+05
p1 500.2±2077 −
Weighted UncertantiesAprilFEB_212,
29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4 31.6 31.8492
492.5
493
493.5
494
494.5
495
495.5
496
3
10× / ndf 2χ 2.844 / 4
p0 1.482e+04± 5.221e+05
p1 484.1±897.9 −
/ ndf 2χ 2.844 / 4
p0 1.482e+04± 5.221e+05
p1 484.1±897.9 −
Weighted UncertantiesAprilFEB_213,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31
532
533
534
535
536
537
538
3
10× / ndf 2χ 4.66 / 4p0 2.43e+04± 5.819e+05
p1 812.4±1556 −
/ ndf 2χ 4.66 / 4p0 2.43e+04± 5.819e+05
p1 812.4±1556 −
Weighted UncertantiesAprilFEB_214,
Figure: Plots muestran la ganancia PMT como una funcion de Tchip en abril(configuration EH).Tubos PMT del 1 al 20.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 30 / 45
Slides de Respaldo
30 30.2 30.4 30.6 30.8 31 31.2 31.4 31.6 31.8T_room(C)
573
574
575
576
577
578
3
10×
Gain
s / ndf 2χ 17.26 / 4p0 1.67e+04± 5.856e+05
p1 544±307.3 −
/ ndf 2χ 17.26 / 4p0 1.67e+04± 5.856e+05
p1 544±307.3 −
Weighted UncertantiesAprilFEB_221,
29.5 30 30.5 31 31.5
581
581.5
582
582.5
583
583.5
584
584.5
3
10× / ndf 2χ 3.046 / 4
p0 1.621e+04± 6.031e+05
p1 533.1±671.2 −
/ ndf 2χ 3.046 / 4
p0 1.621e+04± 6.031e+05
p1 533.1±671.2 −
Weighted UncertantiesAprilFEB_222,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
495
496
497
498
499
3
10× / ndf 2χ 3.998 / 4
p0 1.309e+04± 4.873e+05
p1 433.3± 346.7
/ ndf 2χ 3.998 / 4
p0 1.309e+04± 4.873e+05
p1 433.3± 346.7
Weighted UncertantiesAprilFEB_223,
29 29.5 30 30.5 31
484.5
485
485.5
486
486.5
487
487.5
488
488.5
489
3
10× / ndf 2χ 5.578 / 4p0 1.372e+04± 5.15e+05
p1 459.1±938.9 −
/ ndf 2χ 5.578 / 4p0 1.372e+04± 5.15e+05
p1 459.1±938.9 −
Weighted UncertantiesAprilFEB_224,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31
509
510
511
512
513
514
3
10× / ndf 2χ 7.433 / 4
p0 1.412e+04± 5.113e+05
p1 472.1± 25.82
/ ndf 2χ 7.433 / 4
p0 1.412e+04± 5.113e+05
p1 472.1± 25.82
Weighted UncertantiesAprilFEB_231,
29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8
505
506
507
508
509
510
511
3
10× / ndf 2χ 17.5 / 4p0 1.521e+04± 5.52e+05
p1 510.4±1451 −
/ ndf 2χ 17.5 / 4p0 1.521e+04± 5.52e+05
p1 510.4±1451 −
Weighted UncertantiesAprilFEB_232,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2
482
483
484
485
486
3
10× / ndf 2χ 12.06 / 4p0 1.301e+04± 4.9e+05
p1 432.4±187.7 −
/ ndf 2χ 12.06 / 4p0 1.301e+04± 4.9e+05
p1 432.4±187.7 −
Weighted UncertantiesAprilFEB_233,
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31
532
533
534
535
536
537
538
3
10× / ndf 2χ 11.21 / 4
p0 1.544e+04± 5.439e+05
p1 518±324.5 −
/ ndf 2χ 11.21 / 4
p0 1.544e+04± 5.439e+05
p1 518±324.5 −
Weighted UncertantiesAprilFEB_234,
29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4 31.6 31.8
521.5
522
522.5
523
523.5
524
524.5
525
525.5
3
10× / ndf 2χ 1.779 / 4p0 1.37e+04± 5.648e+05
p1 446.7±1350 −
/ ndf 2χ 1.779 / 4p0 1.37e+04± 5.648e+05
p1 446.7±1350 −
Weighted UncertantiesAprilFEB_301,
29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4 31.6
536
537
538
539
540
541
3
10× / ndf 2χ 3.269 / 4
p0 1.436e+04± 5.725e+05
p1 471.7±1136 −
/ ndf 2χ 3.269 / 4
p0 1.436e+04± 5.725e+05
p1 471.7±1136 −
Weighted UncertantiesAprilFEB_302,
29 29.5 30 30.5 31
478
479
480
481
482
483
484
3
10× / ndf 2χ 2.241 / 4
p0 1.258e+04± 5.381e+05
p1 419.7±1872 −
/ ndf 2χ 2.241 / 4
p0 1.258e+04± 5.381e+05
p1 419.7±1872 −
Weighted UncertantiesAprilFEB_303,
29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2509
510
511
512
513
514
3
10× / ndf 2χ 3.982 / 4
p0 1.489e+04± 5.379e+05
p1 493.8±867.8 −
/ ndf 2χ 3.982 / 4
p0 1.489e+04± 5.379e+05
p1 493.8±867.8 −
Weighted UncertantiesAprilFEB_304,
29.5 30 30.5 31 31.5
503
503.5
504
504.5
505
505.5
506
506.5
3
10× / ndf 2χ 4.118 / 4p0 1.343e+04± 5.08e+05
p1 442.3±104.9 −
/ ndf 2χ 4.118 / 4p0 1.343e+04± 5.08e+05
p1 442.3±104.9 −
Weighted UncertantiesAprilFEB_305,
28.6 28.8 29 29.2 29.4 29.6 29.8 30 30.2 30.4499
499.5
500
500.5
501
501.5
502
502.5
503
3
10× / ndf 2χ 1.532 / 4
p0 1.472e+04± 5.221e+05
p1 502.2±715.3 −
/ ndf 2χ 1.532 / 4
p0 1.472e+04± 5.221e+05
p1 502.2±715.3 −
Weighted UncertantiesAprilFEB_311,
29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8492
493
494
495
496
497
3
10× / ndf 2χ 5.457 / 4
p0 1.465e+04± 5.305e+05
p1 493.9±1182 −
/ ndf 2χ 5.457 / 4
p0 1.465e+04± 5.305e+05
p1 493.9±1182 −
Weighted UncertantiesAprilFEB_312,
29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8
483.5
484
484.5
485
485.5
486
486.5
3
10× / ndf 2χ 4.042 / 4
p0 1.317e+04± 4.944e+05
p1 443.7±330.9 −
/ ndf 2χ 4.042 / 4
p0 1.317e+04± 4.944e+05
p1 443.7±330.9 −
Weighted UncertantiesAprilFEB_313,
29 29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8
509
509.5
510
510.5
511
511.5
512
3
10× / ndf 2χ 4.004 / 4
p0 1.394e+04± 5.147e+05
p1 468.5±139.4 −
/ ndf 2χ 4.004 / 4
p0 1.394e+04± 5.147e+05
p1 468.5±139.4 −
Weighted UncertantiesAprilFEB_314,
29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4 31.6
476.5
477
477.5
478
478.5
479
3
10× / ndf 2χ 2.089 / 4p0 1.363e+04± 4.84e+05
p1 444.5±212 −
/ ndf 2χ 2.089 / 4p0 1.363e+04± 4.84e+05
p1 444.5±212 −
Weighted UncertantiesAprilFEB_321,
29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2 31.4
567
568
569
570
571
572
3
10× / ndf 2χ 6.179 / 4
p0 1.831e+04± 5.917e+05
p1 602.7±744.8 −
/ ndf 2χ 6.179 / 4
p0 1.831e+04± 5.917e+05
p1 602.7±744.8 −
Weighted UncertantiesAprilFEB_322,
28.5 29 29.5 30 30.5467
467.5
468
468.5
469
469.5
470
470.5
3
10× / ndf 2χ 3.181 / 4
p0 1.212e+04± 4.942e+05
p1 409.7±833.3 −
/ ndf 2χ 3.181 / 4
p0 1.212e+04± 4.942e+05
p1 409.7±833.3 −
Weighted UncertantiesAprilFEB_323,
Figure: Plots muestran la ganancia PMT como una funcion de Tchip en abril(configuration EH).Tubos PMT del 21 al 40.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 31 / 45
Slides de Respaldo
23.5 24 24.5 25 25.5T_room(C)
505
505.5
506
506.5
507
507.5
5083
10×
Gain
s / ndf 2χ 1.688 / 4
p0 1495± 5.264e+05
p1 61.98±808 −
/ ndf 2χ 1.688 / 4
p0 1495± 5.264e+05
p1 61.98±808 −
Weighted UncertantiesAprilFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Troom en Abril (configuracion EH).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 32 / 45
Slides de Respaldo
29.2 29.4 29.6 29.8 30 30.2 30.4 30.6 30.8 31 31.2T_chip(C)
505
505.5
506
506.5
507
507.5
5083
10×
Gain
s / ndf 2χ 13.52 / 4
p0 2261± 5.332e+05
p1 75.14±872.8 −
/ ndf 2χ 13.52 / 4
p0 2261± 5.332e+05
p1 75.14±872.8 −
Weighted UncertantiesAprilFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Tchip en Abril (configuracion EH).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 33 / 45
Slides de Respaldo
23.6 23.8 24 24.2 24.4 24.6T_room(C)
532
532.5
533
533.5
534
534.5
535
535.5
536
536.5
3
10×
Gain
s / ndf 2χ 1.284 / 2p0 3.49e+04± 5.797e+05
p1 1460±1862 −
/ ndf 2χ 1.284 / 2p0 3.49e+04± 5.797e+05
p1 1460±1862 −
Weighted UncertantiesMayJulygood_blue_101,
23.6 23.8 24 24.2 24.4 24.6
514.5
515
515.5
516
516.5
517
517.5
518
518.5
519
3
10× / ndf 2χ 1.209 / 2
p0 3.167e+04± 4.997e+05
p1 1325± 687.2
/ ndf 2χ 1.209 / 2
p0 3.167e+04± 4.997e+05
p1 1325± 687.2
Weighted UncertantiesMayJulygood_blue_102,
23.6 23.8 24 24.2 24.4 24.6
522
523
524
525
526
527
3
10× / ndf 2χ 2.51 / 2
p0 3.633e+04± 5.223e+05
p1 1520± 127.2
/ ndf 2χ 2.51 / 2
p0 3.633e+04± 5.223e+05
p1 1520± 127.2
Weighted UncertantiesMayJulygood_blue_103,
23.6 23.8 24 24.2 24.4 24.6
487
488
489
490
491
3
10× / ndf 2χ 0.8319 / 2
p0 3.068e+04± 5.137e+05
p1 1283±1036 −
/ ndf 2χ 0.8319 / 2
p0 3.068e+04± 5.137e+05
p1 1283±1036 −
Weighted UncertantiesMayJulygood_blue_104,
23.6 23.8 24 24.2 24.4 24.6
530
531
532
533
534
535
536
537
3
10× / ndf 2χ 7.247 / 2
p0 3.466e+04± 6.045e+05
p1 1450±2895 −
/ ndf 2χ 7.247 / 2
p0 3.466e+04± 6.045e+05
p1 1450±2895 −
Weighted UncertantiesMayJulygood_blue_111,
23.6 23.8 24 24.2 24.4 24.6486
487
488
489
490
491
492
3
10× / ndf 2χ 6.132 / 2p0 3.382e+04± 5.48e+05
p1 1415±2379 −
/ ndf 2χ 6.132 / 2p0 3.382e+04± 5.48e+05
p1 1415±2379 −
Weighted UncertantiesMayJulygood_blue_113,
23.6 23.8 24 24.2 24.4 24.6
535
536
537
538
539
540
541
3
10× / ndf 2χ 5.437 / 2
p0 3.402e+04± 5.225e+05
p1 1423± 648.1
/ ndf 2χ 5.437 / 2
p0 3.402e+04± 5.225e+05
p1 1423± 648.1
Weighted UncertantiesMayJulygood_blue_114,
23.6 23.8 24 24.2 24.4 24.6
504
505
506
507
508
509
3
10× / ndf 2χ 4.458 / 2
p0 3.129e+04± 5.385e+05
p1 1309±1308 −
/ ndf 2χ 4.458 / 2
p0 3.129e+04± 5.385e+05
p1 1309±1308 −
Weighted UncertantiesMayJulygood_blue_131,
23.6 23.8 24 24.2 24.4 24.6
468
469
470
471
472
473
474
475
476
3
10× / ndf 2χ 7.09 / 2
p0 3.147e+04± 5.505e+05
p1 1316±3291 −
/ ndf 2χ 7.09 / 2
p0 3.147e+04± 5.505e+05
p1 1316±3291 −
Weighted UncertantiesMayJulygood_blue_132,
23.6 23.8 24 24.2 24.4 24.6
515
515.5
516
516.5
517
517.5
518
3
10× / ndf 2χ 0.1372 / 2
p0 3.325e+04± 4.807e+05
p1 1391± 1476
/ ndf 2χ 0.1372 / 2
p0 3.325e+04± 4.807e+05
p1 1391± 1476
Weighted UncertantiesMayJulygood_blue_133,
23.6 23.8 24 24.2 24.4 24.6
483.5
484
484.5
485
485.5
486
486.5
487
487.5
3
10× / ndf 2χ 2.179 / 2
p0 3.064e+04± 4.962e+05
p1 1282±428.2 −
/ ndf 2χ 2.179 / 2
p0 3.064e+04± 4.962e+05
p1 1282±428.2 −
Weighted UncertantiesMayJulygood_blue_134,
23.6 23.8 24 24.2 24.4 24.6
524
525
526
527
528
3
10× / ndf 2χ 3.028 / 2
p0 3.297e+04± 5.627e+05
p1 1379±1501 −
/ ndf 2χ 3.028 / 2
p0 3.297e+04± 5.627e+05
p1 1379±1501 −
Weighted UncertantiesMayJulygood_blue_201,
23.6 23.8 24 24.2 24.4 24.6
495.5
496
496.5
497
497.5
498
498.5
499
3
10× / ndf 2χ 0.8718 / 2
p0 3.007e+04± 5.342e+05
p1 1258±1537 −
/ ndf 2χ 0.8718 / 2
p0 3.007e+04± 5.342e+05
p1 1258±1537 −
Weighted UncertantiesMayJulygood_blue_202,
23.6 23.8 24 24.2 24.4 24.6
478
478.5
479
479.5
480
480.5
481
481.5
482
3
10× / ndf 2χ 2.028 / 2p0 2.914e+04± 5.22e+05
p1 1219±1715 −
/ ndf 2χ 2.028 / 2p0 2.914e+04± 5.22e+05
p1 1219±1715 −
Weighted UncertantiesMayJulygood_blue_203,
23.6 23.8 24 24.2 24.4 24.6504
505
506
507
508
509
3
10× / ndf 2χ 0.6963 / 2
p0 3.089e+04± 5.628e+05
p1 1292±2303 −
/ ndf 2χ 0.6963 / 2
p0 3.089e+04± 5.628e+05
p1 1292±2303 −
Weighted UncertantiesMayJulygood_blue_204,
23.6 23.8 24 24.2 24.4 24.6
489
490
491
492
493
494
3
10× / ndf 2χ 4.403 / 2
p0 3.107e+04± 4.811e+05
p1 1300± 482.8
/ ndf 2χ 4.403 / 2
p0 3.107e+04± 4.811e+05
p1 1300± 482.8
Weighted UncertantiesMayJulygood_blue_205,
23.6 23.8 24 24.2 24.4 24.6
523
524
525
526
527
3
10× / ndf 2χ 2.141 / 2p0 3.196e+04± 4.91e+05
p1 1337± 1428
/ ndf 2χ 2.141 / 2p0 3.196e+04± 4.91e+05
p1 1337± 1428
Weighted UncertantiesMayJulygood_blue_211,
23.6 23.8 24 24.2 24.4 24.6495
496
497
498
499
500
3
10× / ndf 2χ 3.017 / 2
p0 3.202e+04± 5.097e+05
p1 1340±476.9 −
/ ndf 2χ 3.017 / 2
p0 3.202e+04± 5.097e+05
p1 1340±476.9 −
Weighted UncertantiesMayJulygood_blue_212,
23.6 23.8 24 24.2 24.4 24.6493
494
495
496
497
498
3
10× / ndf 2χ 1.315 / 2
p0 3.314e+04± 5.211e+05
p1 1386±1033 −
/ ndf 2χ 1.315 / 2
p0 3.314e+04± 5.211e+05
p1 1386±1033 −
Weighted UncertantiesMayJulygood_blue_213,
23.6 23.8 24 24.2 24.4 24.6
526
528
530
532
534
536
538
540
542
544
546
3
10× / ndf 2χ 35.74 / 2
p0 5.379e+04± 5.223e+05
p1 2250± 648
/ ndf 2χ 35.74 / 2
p0 5.379e+04± 5.223e+05
p1 2250± 648
Weighted UncertantiesMayJulygood_blue_214,
Figure: Plots muestran la ganancia PMT como una funcion de Troom enmayo-julio (configuration SuperHcal).Tubos PMT del 1 al 20.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 34 / 45
Slides de Respaldo
23.6 23.8 24 24.2 24.4 24.6T_room(C)
575
576
577
578
579
3
10×
Gain
s / ndf 2χ 1.434 / 2
p0 3.609e+04± 5.989e+05
p1 1510±878.5 −
/ ndf 2χ 1.434 / 2
p0 3.609e+04± 5.989e+05
p1 1510±878.5 −
Weighted UncertantiesMayJulygood_blue_221,
23.6 23.8 24 24.2 24.4 24.6580
580.5
581
581.5
582
582.5
583
583.5
584
3
10× / ndf 2χ 0.6962 / 2
p0 3.568e+04± 6.246e+05
p1 1492±1750 −
/ ndf 2χ 0.6962 / 2
p0 3.568e+04± 6.246e+05
p1 1492±1750 −
Weighted UncertantiesMayJulygood_blue_222,
23.6 23.8 24 24.2 24.4 24.6
498
498.5
499
499.5
500
500.5
501
501.5
502
502.5
3
10× / ndf 2χ 2.27 / 2
p0 3.191e+04± 5.182e+05
p1 1335±752.9 −
/ ndf 2χ 2.27 / 2
p0 3.191e+04± 5.182e+05
p1 1335±752.9 −
Weighted UncertantiesMayJulygood_blue_223,
23.6 23.8 24 24.2 24.4 24.6
484
485
486
487
488
489
490
3
10× / ndf 2χ 6.262 / 2
p0 3.215e+04± 4.759e+05
p1 1345± 531.9
/ ndf 2χ 6.262 / 2
p0 3.215e+04± 4.759e+05
p1 1345± 531.9
Weighted UncertantiesMayJulygood_blue_224,
23.6 23.8 24 24.2 24.4 24.6
513
513.5
514
514.5
515
515.5
516
516.5
517
517.5
3
10× / ndf 2χ 1.827 / 2p0 3.13e+04± 5.327e+05
p1 1309±709.9 −
/ ndf 2χ 1.827 / 2p0 3.13e+04± 5.327e+05
p1 1309±709.9 −
Weighted UncertantiesMayJulygood_blue_231,
23.6 23.8 24 24.2 24.4 24.6509
510
511
512
513
514
515
5163
10× / ndf 2χ 4.346 / 2
p0 3.265e+04± 4.646e+05
p1 1366± 2015
/ ndf 2χ 4.346 / 2
p0 3.265e+04± 4.646e+05
p1 1366± 2015
Weighted UncertantiesMayJulygood_blue_232,
23.6 23.8 24 24.2 24.4 24.6
484
485
486
487
488
489
490
3
10× / ndf 2χ 9.637 / 2
p0 2.944e+04± 4.847e+05
p1 1232± 76.71
/ ndf 2χ 9.637 / 2
p0 2.944e+04± 4.847e+05
p1 1232± 76.71
Weighted UncertantiesMayJulygood_blue_233,
23.6 23.8 24 24.2 24.4 24.6
536
537
538
539
540
3
10× / ndf 2χ 1.79 / 2
p0 3.438e+04± 5.058e+05
p1 1438± 1334
/ ndf 2χ 1.79 / 2
p0 3.438e+04± 5.058e+05
p1 1438± 1334
Weighted UncertantiesMayJulygood_blue_234,
23.6 23.8 24 24.2 24.4 24.6
522
523
524
525
526
3
10× / ndf 2χ 3.118 / 2
p0 3.199e+04± 5.402e+05
p1 1338±652.7 −
/ ndf 2χ 3.118 / 2
p0 3.199e+04± 5.402e+05
p1 1338±652.7 −
Weighted UncertantiesMayJulygood_blue_301,
23.6 23.8 24 24.2 24.4 24.6
537
538
539
540
541
542
543
3
10× / ndf 2χ 3.046 / 2
p0 3.309e+04± 5.163e+05
p1 1384± 972.2
/ ndf 2χ 3.046 / 2
p0 3.309e+04± 5.163e+05
p1 1384± 972.2
Weighted UncertantiesMayJulygood_blue_302,
23.6 23.8 24 24.2 24.4 24.6480
480.5
481
481.5
482
482.5
483
3
10× / ndf 2χ 0.141 / 2
p0 3.069e+04± 4.948e+05
p1 1284±547.4 −
/ ndf 2χ 0.141 / 2
p0 3.069e+04± 4.948e+05
p1 1284±547.4 −
Weighted UncertantiesMayJulygood_blue_303,
23.6 23.8 24 24.2 24.4 24.6
511.5
512
512.5
513
513.5
514
514.5
515
515.5
516
3
10× / ndf 2χ 1.789 / 2
p0 3.347e+04± 5.142e+05
p1 1400±15.06 −
/ ndf 2χ 1.789 / 2
p0 3.347e+04± 5.142e+05
p1 1400±15.06 −
Weighted UncertantiesMayJulygood_blue_304,
23.6 23.8 24 24.2 24.4 24.6501
501.5
502
502.5
503
503.5
504
504.5
505
505.5
3
10× / ndf 2χ 0.8084 / 2
p0 3.153e+04± 5.605e+05
p1 1319±2339 −
/ ndf 2χ 0.8084 / 2
p0 3.153e+04± 5.605e+05
p1 1319±2339 −
Weighted UncertantiesMayJulygood_blue_305,
23.6 23.8 24 24.2 24.4 24.6
501
502
503
504
505
506
3
10× / ndf 2χ 0.87 / 2
p0 3.355e+04± 5.431e+05
p1 1403±1640 −
/ ndf 2χ 0.87 / 2
p0 3.355e+04± 5.431e+05
p1 1403±1640 −
Weighted UncertantiesMayJulygood_blue_311,
23.6 23.8 24 24.2 24.4 24.6494.5
495
495.5
496
496.5
497
497.5
3
10× / ndf 2χ 0.2248 / 2
p0 3.295e+04± 4.826e+05
p1 1378± 565.6
/ ndf 2χ 0.2248 / 2
p0 3.295e+04± 4.826e+05
p1 1378± 565.6
Weighted UncertantiesMayJulygood_blue_312,
23.6 23.8 24 24.2 24.4 24.6484
485
486
487
488
489
490
3
10× / ndf 2χ 1.878 / 2
p0 3.139e+04± 5.054e+05
p1 1313±774.4 −
/ ndf 2χ 1.878 / 2
p0 3.139e+04± 5.054e+05
p1 1313±774.4 −
Weighted UncertantiesMayJulygood_blue_313,
23.6 23.8 24 24.2 24.4 24.6
510
510.5
511
511.5
512
512.5
513
513.5
3
10× / ndf 2χ 1.111 / 2p0 3.257e+04± 5.33e+05
p1 1363±854.2 −
/ ndf 2χ 1.111 / 2p0 3.257e+04± 5.33e+05
p1 1363±854.2 −
Weighted UncertantiesMayJulygood_blue_314,
23.6 23.8 24 24.2 24.4 24.6
478
479
480
481
482
3
10× / ndf 2χ 3.441 / 2
p0 2.934e+04± 4.764e+05
p1 1228± 126.1
/ ndf 2χ 3.441 / 2
p0 2.934e+04± 4.764e+05
p1 1228± 126.1
Weighted UncertantiesMayJulygood_blue_321,
23.6 23.8 24 24.2 24.4 24.6
568
569
570
571
572
3
10× / ndf 2χ 0.7498 / 2p0 4.011e+04± 5.79e+05
p1 1678±391.8 −
/ ndf 2χ 0.7498 / 2p0 4.011e+04± 5.79e+05
p1 1678±391.8 −
Weighted UncertantiesMayJulygood_blue_322,
23.6 23.8 24 24.2 24.4 24.6467
468
469
470
471
472
3
10× / ndf 2χ 3.83 / 2
p0 2.878e+04± 4.431e+05
p1 1204± 1120
/ ndf 2χ 3.83 / 2
p0 2.878e+04± 4.431e+05
p1 1204± 1120
Weighted UncertantiesMayJulygood_blue_323,
Figure: Plots muestran la ganancia PMT como una funcion de Troom enmayo-julio (configuration SuperHcal).Tubos PMT del 21 al 40.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 35 / 45
Slides de Respaldo
30.5 30.6 30.7 30.8 30.9 31 31.1 31.2T_chip(C)
533
533.5
534
534.5
535
535.5
536
536.5
3
10×
Gain
s / ndf 2χ 0.3024 / 2
p0 5.273e+04± 6.131e+05
p1 1714±2530 −
/ ndf 2χ 0.3024 / 2
p0 5.273e+04± 6.131e+05
p1 1714±2530 −
Weighted UncertantiesMayJulyFEB_101,
30.2 30.4 30.6 30.8 31 31.2
515
516
517
518
519
3
10× / ndf 2χ 5.112 / 2
p0 3.272e+04± 4.841e+05
p1 1070± 1047
/ ndf 2χ 5.112 / 2
p0 3.272e+04± 4.841e+05
p1 1070± 1047
Weighted UncertantiesMayJulyFEB_102,
29.8 30 30.2 30.4 30.6 30.8
524
525
526
527
528
3
10× / ndf 2χ 0.997 / 2
p0 3.528e+04± 5.268e+05
p1 1167±47.43 −
/ ndf 2χ 0.997 / 2
p0 3.528e+04± 5.268e+05
p1 1167±47.43 −
Weighted UncertantiesMayJulyFEB_103,
30.4 30.6 30.8 31 31.2 31.4
487
487.5
488
488.5
489
489.5
490
490.5
3
10× / ndf 2χ 1.783 / 2
p0 3.277e+04± 5.146e+05
p1 1063±831 −
/ ndf 2χ 1.783 / 2
p0 3.277e+04± 5.146e+05
p1 1063±831 −
Weighted UncertantiesMayJulyFEB_104,
30.2 30.3 30.4 30.5 30.6 30.7 30.8 30.9
533.5
534
534.5
535
535.5
536
536.5
537
537.5
3
10× / ndf 2χ 0.953 / 2p0 5.09e+04± 6.147e+05
p1 1671±2606 −
/ ndf 2χ 0.953 / 2p0 5.09e+04± 6.147e+05
p1 1671±2606 −
Weighted UncertantiesMayJulyFEB_111,
30.3 30.4 30.5 30.6 30.7 30.8 30.9 31 31.1486
487
488
489
490
491
492
493
3
10× / ndf 2χ 4.7 / 2
p0 4.246e+04± 5.791e+05
p1 1388±2873 −
/ ndf 2χ 4.7 / 2
p0 4.246e+04± 5.791e+05
p1 1388±2873 −
Weighted UncertantiesMayJulyFEB_113,
30.3 30.4 30.5 30.6 30.7 30.8 30.9 31536
537
538
539
540
541
542
543
3
10× / ndf 2χ 10.34 / 2
p0 4.341e+04± 5.207e+05
p1 1419± 563
/ ndf 2χ 10.34 / 2
p0 4.341e+04± 5.207e+05
p1 1419± 563
Weighted UncertantiesMayJulyFEB_114,
29.4 29.5 29.6 29.7 29.8 29.9 30 30.1 30.2
505
506
507
508
509
3
10× / ndf 2χ 0.3 / 2
p0 4.502e+04± 6.101e+05
p1 1513±3458 −
/ ndf 2χ 0.3 / 2
p0 4.502e+04± 6.101e+05
p1 1513±3458 −
Weighted UncertantiesMayJulyFEB_131,
29.7 29.8 29.9 30 30.1 30.2 30.3 30.4 30.5
468
469
470
471
472
473
474
475
476
3
10× / ndf 2χ 11.11 / 2p0 4e+04± 5.785e+05
p1 1334±3555 −
/ ndf 2χ 11.11 / 2p0 4e+04± 5.785e+05
p1 1334±3555 −
Weighted UncertantiesMayJulyFEB_132,
29.9 30 30.1 30.2 30.3 30.4 30.5 30.6 30.7 30.8
514
514.5
515
515.5
516
516.5
517
517.5
518
518.5
3
10× / ndf 2χ 6.383 / 2
p0 4.072e+04± 4.771e+05
p1 1346± 1287
/ ndf 2χ 6.383 / 2
p0 4.072e+04± 4.771e+05
p1 1346± 1287
Weighted UncertantiesMayJulyFEB_133,
29.6 29.7 29.8 29.9 30 30.1 30.2 30.3 30.4
484
484.5
485
485.5
486
486.5
487
487.5
488
3
10× / ndf 2χ 5.376 / 2p0 4.05e+04± 4.966e+05
p1 1352±353.4 −
/ ndf 2χ 5.376 / 2p0 4.05e+04± 4.966e+05
p1 1352±353.4 −
Weighted UncertantiesMayJulyFEB_134,
30.2 30.4 30.6 30.8 31 31.2
524.5
525
525.5
526
526.5
527
527.5
528
3
10× / ndf 2χ 1.272 / 2
p0 3.964e+04± 5.803e+05
p1 1293±1745 −
/ ndf 2χ 1.272 / 2
p0 3.964e+04± 5.803e+05
p1 1293±1745 −
Weighted UncertantiesMayJulyFEB_201,
30.2 30.4 30.6 30.8 31 31.2
495
496
497
498
499
3
10× / ndf 2χ 3.116 / 1
p0 2.797e+04± 5.425e+05
p1 916.1±1477 −
/ ndf 2χ 3.116 / 1
p0 2.797e+04± 5.425e+05
p1 916.1±1477 −
Weighted UncertantiesMayJulyFEB_202,
29.6 29.8 30 30.2 30.4 30.6
479
479.5
480
480.5
481
481.5
482
482.5
3
10× / ndf 2χ 0.6717 / 2
p0 3.259e+04± 5.367e+05
p1 1086±1858 −
/ ndf 2χ 0.6717 / 2
p0 3.259e+04± 5.367e+05
p1 1086±1858 −
Weighted UncertantiesMayJulyFEB_203,
30 30.2 30.4 30.6 30.8 31504
505
506
507
508
509
510
3
10× / ndf 2χ 5.395 / 1p0 2.92e+04± 5.688e+05
p1 962.8±2013 −
/ ndf 2χ 5.395 / 1p0 2.92e+04± 5.688e+05
p1 962.8±2013 −
Weighted UncertantiesMayJulyFEB_204,
30.6 30.8 31 31.2 31.4 31.6
491.5
492
492.5
493
493.5
3
10× / ndf 2χ 0.3047 / 1
p0 2.621e+04± 4.978e+05
p1 848.7±170 −
/ ndf 2χ 0.3047 / 1
p0 2.621e+04± 4.978e+05
p1 848.7±170 −
Weighted UncertantiesMayJulyFEB_205,
30.1 30.2 30.3 30.4 30.5 30.6 30.7 30.8
524
524.5
525
525.5
526
526.5
527
3
10× / ndf 2χ 0.3562 / 1
p0 4.549e+04± 4.707e+05
p1 1500± 1780
/ ndf 2χ 0.3562 / 1
p0 4.549e+04± 4.707e+05
p1 1500± 1780
Weighted UncertantiesMayJulyFEB_211,
30.2 30.4 30.6 30.8 31
496.5
497
497.5
498
498.5
499
3
10× / ndf 2χ 0.4364 / 1
p0 4.009e+04± 5.149e+05
p1 1316±555 −
/ ndf 2χ 0.4364 / 1
p0 4.009e+04± 5.149e+05
p1 1316±555 −
Weighted UncertantiesMayJulyFEB_212,
30.2 30.4 30.6 30.8 31
495
495.5
496
496.5
497
497.5
3
10× / ndf 2χ 0.3026 / 2
p0 4.448e+04± 5.264e+05
p1 1451±977.3 −
/ ndf 2χ 0.3026 / 2
p0 4.448e+04± 5.264e+05
p1 1451±977.3 −
Weighted UncertantiesMayJulyFEB_213,
29.8 29.9 30 30.1 30.2 30.3 30.4 30.5 30.6
534
535
536
537
538
539
540
541
3
10× / ndf 2χ 3.484 / 2p0 7.361e+04± 5.67e+05
p1 2441±970.7 −
/ ndf 2χ 3.484 / 2p0 7.361e+04± 5.67e+05
p1 2441±970.7 −
Weighted UncertantiesMayJulyFEB_214,
Figure: Plots muestran la ganancia PMT como una funcion de Tchip en mayo-julio(configuration SuperHcal).Tubos PMT del 1 al 20.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 36 / 45
Slides de Respaldo
30.5 30.6 30.7 30.8 30.9 31 31.1 31.2 31.3T_chip(C)
575.5
576
576.5
577
577.5
578
578.5
579
579.5
580
3
10×
Gain
s / ndf 2χ 2.779 / 2
p0 4.987e+04± 6.165e+05
p1 1616±1251 −
/ ndf 2χ 2.779 / 2
p0 4.987e+04± 6.165e+05
p1 1616±1251 −
Weighted UncertantiesMayJulyFEB_221,
30.1 30.2 30.3 30.4 30.5 30.6 30.7 30.8 30.9 31
581
582
583
584
585
3
10× / ndf 2χ 3.382 / 2p0 4.22e+04± 6.155e+05
p1 1385±1074 −
/ ndf 2χ 3.382 / 2p0 4.22e+04± 6.155e+05
p1 1385±1074 −
Weighted UncertantiesMayJulyFEB_222,
30.2 30.4 30.6 30.8 31498
498.5
499
499.5
500
500.5
501
501.5
3
10× / ndf 2χ 1.476 / 2
p0 3.297e+04± 5.207e+05
p1 1080±671.8 −
/ ndf 2χ 1.476 / 2
p0 3.297e+04± 5.207e+05
p1 1080±671.8 −
Weighted UncertantiesMayJulyFEB_223,
29.7 29.8 29.9 30 30.1 30.2 30.3 30.4 30.5 30.6486.5
487
487.5
488
488.5
489
489.5
490
490.5
3
10× / ndf 2χ 2.548 / 2
p0 3.741e+04± 4.791e+05
p1 1243± 315.6
/ ndf 2χ 2.548 / 2
p0 3.741e+04± 4.791e+05
p1 1243± 315.6
Weighted UncertantiesMayJulyFEB_224,
29.8 29.9 30 30.1 30.2 30.3 30.4 30.5 30.6
514
514.5
515
515.5
516
516.5
517
3
10× / ndf 2χ 0.4507 / 2
p0 4.412e+04± 5.426e+05
p1 1464±891.6 −
/ ndf 2χ 0.4507 / 2
p0 4.412e+04± 5.426e+05
p1 1464±891.6 −
Weighted UncertantiesMayJulyFEB_231,
29.6 29.7 29.8 29.9 30 30.1 30.2 30.3511
511.5
512
512.5
513
513.5
514
514.5
3
10× / ndf 2χ 0.421 / 2
p0 4.694e+04± 4.702e+05
p1 1571± 1424
/ ndf 2χ 0.421 / 2
p0 4.694e+04± 4.702e+05
p1 1571± 1424
Weighted UncertantiesMayJulyFEB_232,
29.7 29.8 29.9 30 30.1 30.2 30.3 30.4 30.5 30.6
485.5
486
486.5
487
487.5
3
10× / ndf 2χ 0.09864 / 2
p0 3.562e+04± 4.805e+05
p1 1184± 200.7
/ ndf 2χ 0.09864 / 2
p0 3.562e+04± 4.805e+05
p1 1184± 200.7
Weighted UncertantiesMayJulyFEB_233,
29.5 29.6 29.7 29.8 29.9 30 30.1 30.2 30.3 30.4
536
536.5
537
537.5
538
538.5
539
539.5
540
540.5
3
10× / ndf 2χ 4.136 / 2p0 4.71e+04± 5.138e+05
p1 1573± 798.6
/ ndf 2χ 4.136 / 2p0 4.71e+04± 5.138e+05
p1 1573± 798.6
Weighted UncertantiesMayJulyFEB_234,
30.4 30.5 30.6 30.7 30.8 30.9
523
523.5
524
524.5
525
525.5
526
3
10× / ndf 2χ 0.4494 / 2p0 6.37e+04± 4.482e+05
p1 2080± 2496
/ ndf 2χ 0.4494 / 2p0 6.37e+04± 4.482e+05
p1 2080± 2496
Weighted UncertantiesMayJulyFEB_301,
30.2 30.3 30.4 30.5 30.6 30.7 30.8
536
537
538
539
540
541
3
10× / ndf 2χ 4.262 / 2
p0 6.553e+04± 4.756e+05
p1 2148± 2096
/ ndf 2χ 4.262 / 2
p0 6.553e+04± 4.756e+05
p1 2148± 2096
Weighted UncertantiesMayJulyFEB_302,
30 30.2 30.4 30.6 30.8480
480.5
481
481.5
482
482.5
483
3
10× / ndf 2χ 1.627 / 2p0 3.724e+04± 4.93e+05
p1 1227±371.1 −
/ ndf 2χ 1.627 / 2p0 3.724e+04± 4.93e+05
p1 1227±371.1 −
Weighted UncertantiesMayJulyFEB_303,
30 30.1 30.2 30.3 30.4 30.5 30.6 30.7
511.5
512
512.5
513
513.5
514
514.5
515
3
10× / ndf 2χ 2.536 / 2p0 5.26e+04± 4.782e+05
p1 1733± 1173
/ ndf 2χ 2.536 / 2p0 5.26e+04± 4.782e+05
p1 1733± 1173
Weighted UncertantiesMayJulyFEB_304,
30 30.1 30.2 30.3 30.4 30.5 30.6502
502.5
503
503.5
504
504.5
505
505.5
506
3
10× / ndf 2χ 0.3942 / 2
p0 5.413e+04± 6.019e+05
p1 1788±3215 −
/ ndf 2χ 0.3942 / 2
p0 5.413e+04± 6.019e+05
p1 1788±3215 −
Weighted UncertantiesMayJulyFEB_305,
29.2 29.3 29.4 29.5 29.6 29.7 29.8
501.5
502
502.5
503
503.5
504
504.5
505
505.5
3
10× / ndf 2χ 5.019 / 2p0 5.8e+04± 5.266e+05
p1 1969±770.1 −
/ ndf 2χ 5.019 / 2p0 5.8e+04± 5.266e+05
p1 1969±770.1 −
Weighted UncertantiesMayJulyFEB_311,
29.5 29.6 29.7 29.8 29.9 30 30.1 30.2
494.5
495
495.5
496
496.5
497
497.5
498
498.53
10× / ndf 2χ 1.859 / 2
p0 4.842e+04± 4.885e+05
p1 1625± 257
/ ndf 2χ 1.859 / 2
p0 4.842e+04± 4.885e+05
p1 1625± 257
Weighted UncertantiesMayJulyFEB_312,
29.5 29.6 29.7 29.8 29.9 30 30.1 30.2
485
485.5
486
486.5
487
487.5
488
488.5
489
3
10× / ndf 2χ 1.086 / 2
p0 4.497e+04± 5.325e+05
p1 1511±1534 −
/ ndf 2χ 1.086 / 2
p0 4.497e+04± 5.325e+05
p1 1511±1534 −
Weighted UncertantiesMayJulyFEB_313,
29.5 29.6 29.7 29.8 29.9 30 30.1 30.2
511
512
513
514
515
3
10× / ndf 2χ 3.337 / 2
p0 4.713e+04± 5.425e+05
p1 1580±1003 −
/ ndf 2χ 3.337 / 2
p0 4.713e+04± 5.425e+05
p1 1580±1003 −
Weighted UncertantiesMayJulyFEB_314,
30.8 31 31.2 31.4 31.6 31.8
478.5
479
479.5
480
480.5
481
3
10× / ndf 2χ 1.129 / 2
p0 3.502e+04± 5.122e+05
p1 1121±1049 −
/ ndf 2χ 1.129 / 2
p0 3.502e+04± 5.122e+05
p1 1121±1049 −
Weighted UncertantiesMayJulyFEB_321,
30.6 30.8 31 31.2 31.4 31.6
567
568
569
570
571
572
3
10× / ndf 2χ 4.049 / 1
p0 3.407e+04± 5.874e+05
p1 1101±575.3 −
/ ndf 2χ 4.049 / 1
p0 3.407e+04± 5.874e+05
p1 1101±575.3 −
Weighted UncertantiesMayJulyFEB_322,
29.8 30 30.2 30.4 30.6 30.8
467.5
468
468.5
469
469.5
470
470.5
471
3
10× / ndf 2χ 1.709 / 2
p0 2.767e+04± 4.662e+05
p1 915.4± 125.9
/ ndf 2χ 1.709 / 2
p0 2.767e+04± 4.662e+05
p1 915.4± 125.9
Weighted UncertantiesMayJulyFEB_323,
Figure: Plots muestran la ganancia PMT como una funcion de Tchip en mayo-julio(configuration SuperHcal).Tubos PMT del 21 al 40.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 37 / 45
Slides de Respaldo
23.6 23.8 24 24.2 24.4 24.6T_room(C)
507.4
507.6
507.8
508
508.2
508.4
508.6
310×
Gain
s / ndf 2χ 16.52 / 2
p0 5059± 5.215e+05
p1 211.6±550.6 −
/ ndf 2χ 16.52 / 2
p0 5059± 5.215e+05
p1 211.6±550.6 −
, Uncertainties=WeightedMayJulyFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Troom en mayo-julio (configuracion SuperHcal).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 38 / 45
Slides de Respaldo
30 30.1 30.2 30.3 30.4 30.5 30.6 30.7 30.8 30.9T_chip(C)
507.4
507.6
507.8
508
508.2
508.4
508.6
508.8
310×
Gain
s / ndf 2χ 15.81 / 2
p0 6113± 5.301e+05
p1 201.1±715.9 −
/ ndf 2χ 15.81 / 2
p0 6113± 5.301e+05
p1 201.1±715.9 −
, Uncertainties=WeightedMayJulyFEB_all,
Figure: Este plot muestra la ganancia PMT (tendencia general) como una funcionde Tchip en mayo-julio (configuracion SuperHcal).
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 39 / 45
Slides de Respaldo
Figure: Matriz de correlaciıon entre ambos termometros.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 40 / 45
Slides de Respaldo
Sean las ganancias: g1,g2...gn con sus errores estadisticos:gerr1,gerr2...gerrn.
gav =
∑ni=1 wigi∑ni=1 wi
gerrav =1√∑ni=1 wi
(4)
Donde : wi = 1/gerr2i
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 41 / 45
Slides de Respaldo
Figure: Diferentes funciones de ajuste de acuerdo al criterio de chi2.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 42 / 45
Slides de Respaldo
Figure: Corte transversal de la secciıon de dinodos (seccion de amplificacion.)
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 43 / 45
Slides de Respaldo
Figure: Esquema del circuito electronico de los dinodos.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 44 / 45
Slides de Respaldo
Figure: Relaciıon de los voltajes optimos para cada dinodo segun Hammamatsuelectronics.
Edgar Chavarria (UNI) MINERνA Collaboration August 23, 2018 45 / 45