Exploring the Potential of Short-Baseline Physics at Fermilab Pedro - - PowerPoint PPT Presentation

exploring the potential of short baseline physics at
SMART_READER_LITE
LIVE PREVIEW

Exploring the Potential of Short-Baseline Physics at Fermilab Pedro - - PowerPoint PPT Presentation

Exploring the Potential of Short-Baseline Physics at Fermilab Pedro S. Pasquini O. G. Miranda, M. T ortola and J. W. F. Valle 08/16/2018 NuFact 2018 Phys.Rev. D97 (2018) no.9, 095026 Arxiv: hep-pheno/1802.02133 1 / 24 Short-Baseline may


slide-1
SLIDE 1

Exploring the Potential of Short-Baseline Physics at Fermilab

Pedro S. Pasquini

  • O. G. Miranda, M. T´
  • rtola and J. W. F. Valle

08/16/2018 NuFact 2018 Phys.Rev. D97 (2018) no.9, 095026 Arxiv: hep-pheno/1802.02133

1 / 24

slide-2
SLIDE 2

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program:

2 / 24

slide-3
SLIDE 3

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction

2 / 24

slide-4
SLIDE 4

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction (2) Future/To be designed

2 / 24

slide-5
SLIDE 5

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed

2 / 24

slide-6
SLIDE 6

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed

2 / 24

slide-7
SLIDE 7

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed Source

2 / 24

slide-8
SLIDE 8

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed Source ⌫

2 / 24

slide-9
SLIDE 9

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed Source ⌫ SBND 100 m

2 / 24

slide-10
SLIDE 10

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed Source ⌫ SBND 100 m µBooNe 470 m

2 / 24

slide-11
SLIDE 11

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) (2) Future/To be designed Source ⌫ SBND 100 m µBooNe 470 m ICARUS 600 m

2 / 24

slide-12
SLIDE 12

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) Detector Active Size Distance SBND 112 t 110 m MicroBooNE 89 t 470 m ICARUS 476 t 600 m (2) Future/To be designed

2 / 24

slide-13
SLIDE 13

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) Detector Active Size Distance SBND 112 t 110 m MicroBooNE 89 t 470 m ICARUS 476 t 600 m (2) Future/To be designed DUNE/LBNF near detector arXiv:1512.06148

2 / 24

slide-14
SLIDE 14

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) Detector Active Size Distance SBND 112 t 110 m MicroBooNE 89 t 470 m ICARUS 476 t 600 m (2) Future/To be designed DUNE/LBNF near detector arXiv:1512.06148 Detector Active Size Distance ND ? ?

2 / 24

slide-15
SLIDE 15

Short-Baseline may hide lots of New Physics!

The Fermilab short-baseline program: (1) Running/Under Construction Short Beseline Neutrino (SBN) Experiment (arxiv:1503.01520) Detector Active Size Distance SBND 112 t 110 m MicroBooNE 89 t 470 m ICARUS 476 t 600 m (2) Future/To be designed DUNE/LBNF near detector arXiv:1512.06148 Detector Active Size Distance ND ? ? around ⇠ 500 t ⇠ 600m

2 / 24

slide-16
SLIDE 16

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

3 / 24

slide-17
SLIDE 17

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

4 / 24

slide-18
SLIDE 18

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

4 / 24

slide-19
SLIDE 19

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

4 / 24

slide-20
SLIDE 20

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

4 / 24

slide-21
SLIDE 21

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

If number of ⌫ > 3

4 / 24

slide-22
SLIDE 22

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

If number of ⌫ > 3 The (unitary) mixing matrix Nn⇥n is Nn⇥n = B B B @ N11 N12 N13 N14 ... N21 N22 N23 N24 ... N31 N32 N33 N34 ... . . . . . . . . . . . . 1 C C C A

4 / 24

slide-23
SLIDE 23

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

If number of ⌫ > 3 The (unitary) mixing matrix Nn⇥n is Nn⇥n = B B B @ N11 N12 N13 N14 ... N21 N22 N23 N24 ... N31 N32 N33 N34 ... . . . . . . . . . . . . 1 C C C A Unitary

4 / 24

slide-24
SLIDE 24

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

If number of ⌫ > 3 The (unitary) mixing matrix Nn⇥n is Nn⇥n = B B B @ N11 N12 N13 N14 ... N21 N22 N23 N24 ... N31 N32 N33 N34 ... . . . . . . . . . . . . 1 C C C A Unitary Not accessible if Eexp < Mνi

4 / 24

slide-25
SLIDE 25

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

If number of ⌫ > 3 The (unitary) mixing matrix Nn⇥n is Nn⇥n = B B B @ N11 N12 N13 N14 ... N21 N22 N23 N24 ... N31 N32 N33 N34 ... . . . . . . . . . . . . 1 C C C A Unitary Not accessible if Eexp < Mνi Not Unitary

4 / 24

slide-26
SLIDE 26

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

N3⇥3 = @ ↵11 ↵21 ↵22 ↵31 ↵32 ↵33 1 A .UPMNS

4 / 24

slide-27
SLIDE 27

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

N3⇥3 = @ ↵11 ↵21 ↵22 ↵31 ↵32 ↵33 1 A .UPMNS Unitary

4 / 24

slide-28
SLIDE 28

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

N3⇥3 = @ ↵11 ↵21 ↵22 ↵31 ↵32 ↵33 1 A .UPMNS Regulates ⌫µ ! ⌫e transitions

4 / 24

slide-29
SLIDE 29

Short-Baseline may hide lots of New Physics!

Near Detec- tor Physics

Non-Unitarity

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 Zero Distance / |↵21|2

4 / 24

slide-30
SLIDE 30

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

5 / 24

slide-31
SLIDE 31

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

5 / 24

slide-32
SLIDE 32

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

5 / 24

slide-33
SLIDE 33

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

5 / 24

slide-34
SLIDE 34

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

5 / 24

slide-35
SLIDE 35

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

0.001 0.010 0.100 1 10 100 0.0 0.2 0.4 0.6 0.8 1.0 L/E [A.U.] Survival Probability

5 / 24

slide-36
SLIDE 36

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

0.001 0.010 0.100 1 10 100 0.0 0.2 0.4 0.6 0.8 1.0 L/E [A.U.] Survival Probability

∆m2

31

5 / 24

slide-37
SLIDE 37

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

0.001 0.010 0.100 1 10 100 0.0 0.2 0.4 0.6 0.8 1.0 L/E [A.U.] Survival Probability

∆m2

31

∆m2

21

5 / 24

slide-38
SLIDE 38

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

0.001 0.010 0.100 1 10 100 0.0 0.2 0.4 0.6 0.8 1.0 L/E [A.U.] Survival Probability

∆m2

31

∆m2

21

∆m2

4i

5 / 24

slide-39
SLIDE 39

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879

Near Detec- tor Physics

Light Sterile Neutrino Non-Unitarity

⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204 ∆m2

4i ⇡ 1 eV2

5 / 24

slide-40
SLIDE 40

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 ⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

Near Detec- tor Physics

Light Sterile Neutrino Non- Standard Interaction Non-Unitarity

6 / 24

slide-41
SLIDE 41

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 ⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

Near Detec- tor Physics

Light Sterile Neutrino Non- Standard Interaction Non-Unitarity

Detector

⌫i ⌫j , Z0..

6 / 24

slide-42
SLIDE 42

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 ⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

Near Detec- tor Physics

Light Sterile Neutrino Non- Standard Interaction Non-Unitarity

Detector

⌫i ⌫j , Z0.. arxiv:1710.09360

6 / 24

slide-43
SLIDE 43

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-44
SLIDE 44

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-45
SLIDE 45

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-46
SLIDE 46

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-47
SLIDE 47

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-48
SLIDE 48

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W

7 / 24

slide-49
SLIDE 49

Short-Baseline may hide lots of New Physics!

production: Decay Propagation: Matter Detection: Charge Current Standard Non-Standard P W lα ⌫α P , W 0 lα ⌫β ⌫α W ⌫α , W 0 ⌫α lα W ⌫α lβ , W 0

7 / 24

slide-50
SLIDE 50

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 ⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

Near Detec- tor Physics

Light Sterile Neutrino Non- Standard Interaction Non-Unitarity

Detector

⌫i ⌫j , Z0.. arxiv:1710.09360

8 / 24

slide-51
SLIDE 51

Short-Baseline may hide lots of New Physics!

  • Ue1U∗

e2

Uµ1U∗

µ2

  • Uτ1U∗

τ2

Uµ1U∗

µ2

  • ⌫H

arxiv:1503.08879 ⌫4 ⌫3 ⌫2 ⌫1 ∆m2

21

∆m2

32

∆m2

43

arxiv:1507.08204

Near Detec- tor Physics

Light Sterile Neutrino Non- Standard Interaction Non-Unitarity

Detector

⌫i ⌫j , Z0.. arxiv:1710.09360 Source/Detec. NSI only

8 / 24

slide-52
SLIDE 52

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting?

9 / 24

slide-53
SLIDE 53

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting? These new physics contain a short-distance (non-Standard) ⌫µ ! ⌫µ

9 / 24

slide-54
SLIDE 54

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting? These new physics contain a short-distance (non-Standard) ⌫µ ! ⌫µ Non-Unitarity NSI Sterile Neutrino P NU

µe

⇠ |↵21|2 P NSI

µe

⇠ |✏d

eµ + ✏s eµ|2

P 3+1

µe

⇠ sin2 2✓µe

9 / 24

slide-55
SLIDE 55

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting? These new physics contain a short-distance (non-Standard) ⌫µ ! ⌫µ Non-Unitarity NSI Sterile Neutrino P NU

µe

⇠ |↵21|2 P NSI

µe

⇠ |✏d

eµ + ✏s eµ|2

P 3+1

µe

⇠ sin2 2✓µe Thus, Ne ⇠ e + P NEW

µe

µ

9 / 24

slide-56
SLIDE 56

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting? These new physics contain a short-distance (non-Standard) ⌫µ ! ⌫µ Non-Unitarity NSI Sterile Neutrino P NU

µe

⇠ |↵21|2 P NSI

µe

⇠ |✏d

eµ + ✏s eµ|2

P 3+1

µe

⇠ sin2 2✓µe Thus, Ne ⇠ e + P NEW

µe

µ

0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 Normalized Flux

LBNF LBNF e BNB BNB e

1 2 3 4 5 50 100 150 200 250 Energy [GeV] /e 9 / 24

slide-57
SLIDE 57

We can put better constraints to new physics!

Why are those (short-baseline) experiments interesting? These new physics contain a short-distance (non-Standard) ⌫µ ! ⌫µ Non-Unitarity NSI Sterile Neutrino P NU

µe

⇠ |↵21|2 P NSI

µe

⇠ |✏d

eµ + ✏s eµ|2

P 3+1

µe

⇠ sin2 2✓µe Thus, Ne ⇠ e + P NEW

µe

µ

0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 Normalized Flux

LBNF LBNF e BNB BNB e

1 2 3 4 5 50 100 150 200 250 Energy [GeV] /e

O(102)

9 / 24

slide-58
SLIDE 58

We can put better constrain to new physics!

We simulated:

10 / 24

slide-59
SLIDE 59

We can put better constrain to new physics!

We simulated: SBNE = SBND + µBooNE + ICARUS

10 / 24

slide-60
SLIDE 60

We can put better constrain to new physics!

We simulated: SBNE = SBND + µBooNE + ICARUS LBNF beam with: protoDUNE and ICARUS as ND

10 / 24

slide-61
SLIDE 61

We can put better constrain to new physics!

10-6 10-5 10-4 10-3 5 10 15 10-6 10-5 10-4 10-3 |21

2 or |e d+e s 2

2

SBNE ICARUS at LBNF protoDUNE-SP

10 / 24

slide-62
SLIDE 62

We can put better constrain to new physics!

10-6 10-5 10-4 10-3 5 10 15 10-6 10-5 10-4 10-3 |21

2 or |e d+e s 2

2

SBNE ICARUS at LBNF protoDUNE-SP

SBNE: |↵21|2 < 2 ⇥ 104

10 / 24

slide-63
SLIDE 63

We can put better constrain to new physics!

10-6 10-5 10-4 10-3 5 10 15 10-6 10-5 10-4 10-3 |21

2 or |e d+e s 2

2

SBNE ICARUS at LBNF protoDUNE-SP

SBNE: |↵21|2 < 2 ⇥ 104 LBNF: |↵21|2 < 2.5 ⇥ 105

10 / 24

slide-64
SLIDE 64

We can put better constrain to new physics!

10-6 10-5 10-4 10-3 5 10 15 10-6 10-5 10-4 10-3 |21

2 or |e d+e s 2

2

SBNE ICARUS at LBNF protoDUNE-SP

SBNE: |↵21|2 < 2 ⇥ 104 LBNF: |↵21|2 < 2.5 ⇥ 105 Current: |↵21|2 < 7 ⇥ 104

10 / 24

slide-65
SLIDE 65

We can put better constrain to new physics!

10-6 10-5 10-4 10-3 5 10 15 10-6 10-5 10-4 10-3 |21

2 or |e d+e s 2

2

SBNE ICARUS at LBNF protoDUNE-SP

LBNF: |↵21|2 < 2.5 ⇥ 105 Can we really reach this level?

10 / 24

slide-66
SLIDE 66

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

11 / 24

slide-67
SLIDE 67

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors:

11 / 24

slide-68
SLIDE 68

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors: Source ⌫

11 / 24

slide-69
SLIDE 69

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors: Source ⌫ Near Detector

11 / 24

slide-70
SLIDE 70

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors: Source ⌫ Near Detector Far Detector

11 / 24

slide-71
SLIDE 71

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors: Source ⌫ Near Detector Far Detector

11 / 24

slide-72
SLIDE 72

We need to know the expected flux precisely!

This New Physics changes ⌫ spectrum, Nνe / νe + |↵21|2νµ and P(⌫µ ! ⌫e) = 1 sin2 2✓µe sin ∆m41L

4E

Traditionally, neutrino oscillation experiments uses (at least) two detectors: Source ⌫ Near Detector Far Detector Extrapolation

11 / 24

slide-73
SLIDE 73

Knowing the flux will be challanging!

But we want to measure zero distance effects!

12 / 24

slide-74
SLIDE 74

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025)

12 / 24

slide-75
SLIDE 75

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam

12 / 24

slide-76
SLIDE 76

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam (2) Measuring the muon flux in the decay pipeline and relate it to the ⌫ flux

12 / 24

slide-77
SLIDE 77

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam (2) Measuring the muon flux in the decay pipeline and relate it to the ⌫ flux (3) Measuring the low energy transfer events (low-⌫)

12 / 24

slide-78
SLIDE 78

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam (2) Measuring the muon flux in the decay pipeline and relate it to the ⌫ flux (3) Measuring the low energy transfer events (low-⌫) May be affected by new physics

12 / 24

slide-79
SLIDE 79

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam (2) Measuring the muon flux in the decay pipeline and relate it to the ⌫ flux (3) Measuring the low energy transfer events (low-⌫) May be affected by new physics Need to know production differential cross section and the horn magnetic field

12 / 24

slide-80
SLIDE 80

Knowing the flux will be challanging!

But we want to measure zero distance effects! We need to rely on other types of measurements (see hep-ex/arxiv:1201.3025) (1) Modeling the distribution of ⇡ and K produced by the proton beam (2) Measuring the muon flux in the decay pipeline and relate it to the ⌫ flux (3) Measuring the low energy transfer events (low-⌫) May be affected by new physics Need to know production differential cross section and the horn magnetic field Need to understand detector very well and is hard to measure E dependency

12 / 24

slide-81
SLIDE 81

We parametrized our lack of knowledge

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.]

13 / 24

slide-82
SLIDE 82

We parametrized our lack of knowledge

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Normalization: N0(1 + a)

13 / 24

slide-83
SLIDE 83

We parametrized our lack of knowledge

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Normalization: N0(1 + a) a = 0

13 / 24

slide-84
SLIDE 84

We parametrized our lack of knowledge

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Normalization: N0(1 + a) a = 0 a = 5%

13 / 24

slide-85
SLIDE 85

We parametrized our lack of knowledge

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Normalization: N0(1 + a) a = 0 a = 5% a = 5%

13 / 24

slide-86
SLIDE 86

Shape uncertanty can spoil the sensitivity!

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.]

14 / 24

slide-87
SLIDE 87

Shape uncertanty can spoil the sensitivity!

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Shape: N0

i (1 + ai), bin i = 1, 2, ...

14 / 24

slide-88
SLIDE 88

Shape uncertanty can spoil the sensitivity!

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Shape: N0

i (1 + ai), bin i = 1, 2, ...

ai = 0

14 / 24

slide-89
SLIDE 89

Shape uncertanty can spoil the sensitivity!

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Shape: N0

i (1 + ai), bin i = 1, 2, ...

ai = 0 ai 6= 0

14 / 24

slide-90
SLIDE 90

Shape uncertanty can spoil the sensitivity!

Let’s parametrize our lack of knowledge to see its impact: Eν [a.u.] # of Events [a.u.] Shape: N0

i (1 + ai), bin i = 1, 2, ...

ai = 0 ai 6= 0

W e m a y l

  • s

e a n y

  • s

c i l l a t i

  • n

p a t t e r n ! !

14 / 24

slide-91
SLIDE 91

σs the real parameter here

A bit of math....

15 / 24

slide-92
SLIDE 92

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

15 / 24

slide-93
SLIDE 93

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

15 / 24

slide-94
SLIDE 94

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

15 / 24

slide-95
SLIDE 95

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

2

SYS =

✓ a a ◆2 + ✓ b b ◆2 +

Nbin

X

i=1

✓ ai sa ◆2 + ✓ bi sb ◆2 ,

15 / 24

slide-96
SLIDE 96

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

2

SYS =

✓ a a ◆2 + ✓ b b ◆2 +

Nbin

X

i=1

✓ ai sa ◆2 + ✓ bi sb ◆2 , We minimize over a, b, ai, bi

15 / 24

slide-97
SLIDE 97

σs the real parameter here

A bit of math.... 2 =

Nbin

X

i=1

Nexp

i

(1 a ai)Nth

i

(1 b bi)Nbg

i

p Nexp

i

!2 + 2

SYS ,

2

SYS =

✓ a a ◆2 + ✓ b b ◆2 +

Nbin

X

i=1

✓ ai sa ◆2 + ✓ bi sb ◆2 , We minimize over a, b, ai, bi sa = sb = s Spectrum error

15 / 24

slide-98
SLIDE 98

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives

16 / 24

slide-99
SLIDE 99

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

16 / 24

slide-100
SLIDE 100

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

Statistical Uncertainty

16 / 24

slide-101
SLIDE 101

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

Statistical Uncertainty Adding the ai uncertainty:

16 / 24

slide-102
SLIDE 102

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

Statistical Uncertainty Adding the ai uncertainty: 2 = X

i

@Ndata

i

(1 ai)Ntheo

i

q Ndata

i

1 A

2

+ ✓ai i ◆2

  • !

X

i

@ Ndata

i

Ntheo

i

q Ndata

i

+ 2

i (Ntheo i

)2 1 A

2

16 / 24

slide-103
SLIDE 103

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

Statistical Uncertainty Adding the ai uncertainty: 2 = X

i

@Ndata

i

(1 ai)Ntheo

i

q Ndata

i

1 A

2

+ ✓ai i ◆2

  • !

X

i

@ Ndata

i

Ntheo

i

q Ndata

i

+ 2

i (Ntheo i

)2 1 A

2

16 / 24

slide-104
SLIDE 104

σs changes only the usual uncertanty

Usual histogram comparisson (Pearson’s 2) gives 2 = X

i

@Ndata

i

Ntheo

i

q Ndata

i

1 A

2

Statistical Uncertainty Adding the ai uncertainty: 2 = X

i

@Ndata

i

(1 ai)Ntheo

i

q Ndata

i

1 A

2

+ ✓ai i ◆2

  • !

X

i

@ Ndata

i

Ntheo

i

q Ndata

i

+ 2

i (Ntheo i

)2 1 A

2

Notice, if i ! 1 one looses sensitivity (2 ! 0)

16 / 24

slide-105
SLIDE 105

We need σs ⇠ O(1)%

What we got (for |↵21|2):

17 / 24

slide-106
SLIDE 106

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

17 / 24

slide-107
SLIDE 107

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s)

17 / 24

slide-108
SLIDE 108

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

17 / 24

slide-109
SLIDE 109

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

17 / 24

slide-110
SLIDE 110

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline not too far

17 / 24

slide-111
SLIDE 111

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline not too far

17 / 24

slide-112
SLIDE 112

We need σs ⇠ O(1)%

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline not too far s ⇠ O(1)%

17 / 24

slide-113
SLIDE 113

σs defines maximum resolution

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

18 / 24

slide-114
SLIDE 114

σs defines maximum resolution

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

18 / 24

slide-115
SLIDE 115

σs defines maximum resolution

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

18 / 24

slide-116
SLIDE 116

σs defines maximum resolution

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

18 / 24

slide-117
SLIDE 117

σs defines maximum resolution

What we got (for |↵21|2):

0.5 1.0 1.5 2.0 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) Spectrum Error [%] ICARUS and ICARUS+ at LBNF

5×10-

5

4×10-

5

2×10-

5

1×10-

5

*

1 2 3 4 5 0.0 0.5 1.0 1.5 2.0 2.5 Distance (km) protoDUNE-SP ar LBNF Spectrum Error [%]

5×10

  • 5

4×10-5 2 × 1

  • 5

1 × 1

  • 5

*

Spectrum error (s) Baseline

18 / 24

slide-118
SLIDE 118

Setting a σs goal, we can get minimum requirements

1 2 3 4 5 100 101 Distance [km] Active Mass [kt]

Spectrum Error =1% ProtoDUNE-SP

  • Min. Req. for 90% C. L.

|21

2=5×10

  • 5

|

  • 21

2

= 4 × 1

  • 5

|21

2=3×10

  • 5

|21

2=2.5×10

  • 5

19 / 24

slide-119
SLIDE 119

We can probe sterile neutrinos too!

similar for sterile neutrino!

20 / 24

slide-120
SLIDE 120

We can probe sterile neutrinos too!

similar for sterile neutrino!

10-3 10-2 10-1 10-1 1 10 10 10 10 sin214 m41

2 [eV2] error=5% error=1% error=9%

10-3 10-2 10-1 sin224

error=1% error=5% error=9%

10-5 10-4 10-3 10-2 10-1 10-2 10-1 1 10 sin22e

error=1% error=5% error=9% 20 / 24

slide-121
SLIDE 121

We can probe sterile neutrinos too!

The sensitivity is reasonable good if L ⇠ 1km

10-3 10-2 10-1 10-1 1 10 sin214 m41

2 [eV2] L=0.6 km L=1.5 km L=2.4 km

10-3 10-2 10-1 sin224

L=0.6 km L=1.5 km L=2.4 km

10-5 10-4 10-3 10-2 10-1 10-2 10-1 1 10 sin22e

L=0.6 km L=1.5 km L=2.4 km 21 / 24

slide-122
SLIDE 122

We can probe sterile neutrinos too!

If it is possible to use two near detectors, we gain a very good improvement!

22 / 24

slide-123
SLIDE 123

We can probe sterile neutrinos too!

If it is possible to use two near detectors, we gain a very good improvement!

10-3 10-2 10-1 10-1 1 10 sin214 m41

2 [eV2]

protoDUNE (2.4 km) protoDUNE (0.6 km) ICARUS+ (2.4 km)

10-3 10-2 10-1 sin224 10-5 10-4 10-3 10-2 10-1 10-2 10-1 1 10 sin22e

22 / 24

slide-124
SLIDE 124

New physics can be probed if σs ⇠ O(1)%

Conclusion:

23 / 24

slide-125
SLIDE 125

New physics can be probed if σs ⇠ O(1)%

Conclusion: SBN can slightly improve NSI/Non-unitarity

23 / 24

slide-126
SLIDE 126

New physics can be probed if σs ⇠ O(1)%

Conclusion: SBN can slightly improve NSI/Non-unitarity LBNF We can probe NSI/Non-unitarity if ⇠ O(1)%

23 / 24

slide-127
SLIDE 127

New physics can be probed if σs ⇠ O(1)%

Conclusion: SBN can slightly improve NSI/Non-unitarity LBNF We can probe NSI/Non-unitarity if ⇠ O(1)% (depending on detector size/location)

23 / 24

slide-128
SLIDE 128

New physics can be probed if σs ⇠ O(1)%

Conclusion: SBN can slightly improve NSI/Non-unitarity LBNF We can probe NSI/Non-unitarity if ⇠ O(1)% (depending on detector size/location) Similar for sterile neutrino

23 / 24

slide-129
SLIDE 129

Thanks for the supporters

Thanks

  • G. V. Stenico for SBN codes

Generalitat Valenciana Ram´

  • n y Cajal

CONACyT and SNI (Mexico).

24 / 24

slide-130
SLIDE 130

All#lectures#will#be#held#in#English# Addi2onal#informa2on#and#Applica2ons:# Deadline(for(registra/on:(September(28,(2018( h;ps://sites.google.com/site/spsasen/( Travel(and(lodging(support(available(for(up(to(100(selected(students/postBdocs((50(from(Brazil,(50(from(abroad).(

Organiza2on:#APS,#SBF,#UNICAMP,#UFABC,#UFSCAR# Funding:#São#Paulo#Research#Founda2on#(FAPESP),#APS,#UNICAMP#

Lecturers( E;ore(Segreto,(UNICAMP,(Brazil((Scien/fic(Coordinator)(

Roberto#Acciarri,#FERMILAB,#USA# Jonathan#Asaadi,#UTA,#USA# Ed#Blucher,#University#of#Chicago,#USA# Mary#Bishai,#BNL,#USA# Carla#Bonifazi,#UFRJ,#Brazil# Ines#Gil#Botella,#CIEMAT,#Spain# Flavio#Cavanna,#FERMILAB,#USA# Jus2n#Evans,#Manchester,#UK# Renata#Funchal,#USP,#Brazil## Douglas#Galante,#LNLS,#Brazil# Diego#GarciaQGamez,#Manchester,#UK# Marcelo#Guzzo,#UNICAMP,#Brazil# Ernesto#Kemp,#UNICAMP,#Brazil# Ana#Amelia#B.#Machado,#UFABC,#Brazil# Franciole#Marinho,#UFSCAR,#Brazil# Celio#A.#Moura,#UFABC,#Brazil# Luciano#Pandola,#INFNQLNS,#Italy# Laura#Paulucci,#UFABC,#Brazil# Kate#Scholberg,#Duke#University,#USA# Michelle#Stancari,#FERMILAB,#USA# Andrzej#Szelc,#Manchester,#UK# Francesco#Vissani,#INFNQLNGS,#Italy#

The(Brazilian(Physics(Society((SBF)(and(the(American(Physical(Society((APS)(( jointly(announce(the(

(

SBFBAPS(São(Paulo(School(of(Advanced(Science(on(( Experimental(Neutrino(Physics#

#

December'3)14,'2018,'University'of'Campinas'(Unicamp),'Campinas,'SP,'Brazil# #