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

echavarria@uni.pe

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