7 years of IceCube data Christian Haack , RWTH Aachen University For - - PowerPoint PPT Presentation

7 years of icecube data
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7 years of IceCube data Christian Haack , RWTH Aachen University For - - PowerPoint PPT Presentation

Constraints on diffuse neutrino emission from the Galactic Plane with 7 years of IceCube data Christian Haack , RWTH Aachen University For the IceCube Collaboration ICRC 2017, 07/15/2017 Galactic Cosmic Rays During propagation


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Constraints on diffuse neutrino emission from the Galactic Plane with 7 years of IceCube data

Christian Haack, RWTH Aachen University ꟷ For the IceCube Collaboration ꟷ ICRC 2017, 07/15/2017

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▪ During propagation protons interact with material near the source or interstellar gas ▪ Interactions produce pions which decay into γ and ν →Diffuse γ / ν emission

07/15/2017

Galactic Cosmic Rays

𝜌+/− 𝜌0 p 𝜈 𝜉𝜈 𝛿 𝛿

Christian Haack 2

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▪ During propagation protons interact with material near the source or interstellar gas ▪ Interactions produce pions which decay into γ and ν →Diffuse γ / ν emission

07/15/2017

Galactic Cosmic Rays

𝜌+/− 𝜌0 p 𝜈 𝜉𝜈 𝛿 𝛿

Christian Haack 3

γ / ν are tracers of acceleration, propagation and interaction mechanisms

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Simple model:

Spatial: 𝜌0-component of Fermi diffuse γ background model Energy: 𝐹−𝛿 powerlaw → No prediction for flux normalization Two free parameters: Normalization & Spectral Index

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Modelling Galactic Neutrinos

Christian Haack 4

▪ Diffuse Galactic γ and ν are created by π-decays ▪ Fermi provides model of diffuse Galactic γ emission

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▪ Model by Gaggero et. al. provides consistent picture of ν and γ diffuse emission ▪ Based on KRAγ CR-diffusion model

Assumes diffusion coefficient depending on galiocentric radius

▪ Developed to solve problems of conventional propagation models (e.g. “Milagro excess“) ▪ 5 PeV or 50 PeV CR cutoff

07/15/2017

Sophisticated Models

Christian Haack 5 Daniele Gaggero et al 2015 ApJL 815 L25

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▪ Model by Gaggero et. al. provides consistent picture of ν and γ diffuse emission ▪ Based on KRAγ CR-diffusion model

Assumes diffusion coefficient depending on galiocentric radius

▪ Developed to solve problems of conventional propagation models (e.g. “Milagro excess“) ▪ 5 PeV or 50 PeV CR cutoff

07/15/2017

Sophisticated Models

Christian Haack 6 Daniele Gaggero et al 2015 ApJL 815 L25

→ν measurement can help constrain diffusion models

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07/15/2017

The IceCube Neutrino Observatory

▪ Cherenkov detector at the geographic South Pole ▪ 5160 Digital Optical Modules (PMT with onboard digitization) ▪ 86 Strings in a depth of 1450m to 2450m ▪ 125m string spacing ▪ Detection Principle: Cherenkov emission of secondary particles produced by ν-interaction in or near the detector ▪ Energy threshold ~10GeV (with DeepCore)

𝜉𝜈 𝜈 𝜈 𝜉𝜈

Christian Haack 7

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▪ Allows precise characterization of the isotropic astrophysical neutrino flux

Astrophys.J. 833 (2016) no. 1, 3

▪ No associated neutrino point sources found ▪ Measured flux parameters differ from other channels ▪ Might be an indication for second component (Galactic?) in neutrino spectrum ▪ How robust is this result against a subdominant Galactic component?

07/15/2017

The 𝜉𝜈-Channel (Tracks)

Christian Haack 8

Update to 8 years

  • f data see: NU022 (Board No. 116)

New eight year result!

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Binned Method

▪ Binned poissonian template fit in reconstructed neutrino energy and direction ▪ Signal & background PDF calculated from MC ▪ Systematic uncertainties included as continuous nuisance parameters ▪ Fits neutrino flux parameters of conventional + prompt atmospheric, isotropic + Galactic astrophysical

Unbinned Method

▪ Unbinned spatial LH fit with energy weighting ▪ Data-driven background model („scrambled data“) ▪ Fits anisotropic Galactic plane contribution in isotropic background

07/15/2017

Analysis Methods

Q: Does the data include a contribution of Galactic neutrinos? ~10% better sensitivity Consistent picture of all neutrino fluxes

Christian Haack 9

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Galactic Plane Templates

Baseline Model

Fermi 𝜌0 spatial template 𝐹−𝛿 energy spectrum (baseline: 𝛿 = 2.5)

KRAγ(50 PeV cutoff)

Spatial template from tuned diffusion model 𝐹−𝛿 energy spectrum (𝛿~2.45) Prediction: ~ 30 𝜉𝜈/yr

Christian Haack 10

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07/15/2017

Galactic Plane Templates

Baseline Model

Fermi 𝜌0 spatial template 𝐹−𝛿 energy spectrum (baseline: 𝛿 = 2.5) Normalization: 10−5 𝐻𝑓𝑊−1𝑑𝑛−2𝑡−1@1GeV 75 ν/a

KRAγ

Fermi 𝜌0 spatial template 𝐹−𝛿 energy spectrum (baseline: 𝛿 = 2.5)

Downgoing Upgoing KRAγ is stronger ↔ Fermi is stronger

Christian Haack 11

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07/15/2017

Results #1: Unbinned Method

▪ Using the unbinned method, we set an upper limit of: 1.2 x 𝐋𝐒𝐁𝛅 (50PeV cutoff) ▪ For the Fermi 𝜌0 model:

Φ90 = 2.97 ⋅ 10−18

𝐹 100 𝑈𝑓𝑊 −2.5

GeV−1cm−2s−1

▪ Not more than 14% of the diffuse flux @ 𝛿 = 2.5 from the Galactic plane ▪ New ANTARES (arXiv: 1705.00497) limit: 1.3 x 𝐋𝐒𝐁𝛅 (50PeV cutoff)

http://arxiv.org/abs/1707.03416

Christian Haack 12

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07/15/2017

Results #2: Binned Method

Using the binned method and the Fermi 𝜌0 model, we obtain an insignificant non-zero best fit: ▪ P-Value of no Galactic flux: 7% ▪ Consistent with unbinned method

Christian Haack 13

Φ = Φ0 ⋅ 10−18

𝐹 100𝑈𝑓𝑊 −𝛿

GeV−1cm−2s−1

Φ0 = 3.13 ±1.85

2.11, 𝛿 = 2.07 ±0.25 0.22

http://arxiv.org/abs/1707.03416

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07/15/2017

Results #2: Binned Method

▪ The binned method delivers consistent picture of isotropic & galactic astrophysical fluxes ▪ Check the influence of inclusion of galactic component on isotropic flux measurement ▪ Scan isotropic flux parameters with galactic plane parameters (norm. + spectral index) free to float ▪ Significance of isotropic astrophysical component still > 3σ

  • > Inclusion of galactic component in fit does not strongly

affect ability to constrain isotropic astrophysical flux.

Christian Haack 14

http://arxiv.org/abs/1707.03416

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▪ A measurement of a diffuse galactic neutrino emission can provide valuable insight into CR propagation mechanisms ▪ IceCube is already able to probe models for diffuse 𝜉𝜈 emission: 90% UL: 1.2 x KRAγ (50PeV) For Fermi 𝜌0 model: Φ90 = 2.97 ⋅ 10−18

𝐹 100 𝑈𝑓𝑊 −2.5

GeV−1cm−2s−1 ▪ Binned analysis results in an overfluctuation (~7% p-value) ▪ The best-fit galactic spectral index for Fermi 𝜌0 is suprisingly hard (2.07 ±0.25

0.22)

→ But no conclusions can be drawn yet ▪ Measurement of the isotropic astrophysical flux is robust against a subdominent galactic component

Outlook: Global analysis combining multiple detection channels & combined analysis with Antares

07/15/2017

Summary & Conclusions

Christian Haack 15

Paper submitted to ApJ http://arxiv.org/abs/1707.03416

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Thank You!

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Backup

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▪ Sensitivity is defined as median upper limit, when no signal is present ▪ Neyman construction:

▪ Generate BG & Signal pseudoexperiments ▪ 90% UL is found when 𝑅50 𝑈𝑇𝐶𝐻 ෝ = 𝑅10 𝑈𝑇𝑇𝑗𝑕𝑜𝑏𝑚

07/15/2017

Sensitivity Calculation

Signal distribution 𝑜𝑗𝑜𝑘 = 𝑜𝑉𝑀 Signal distribution 𝑜𝑗𝑜𝑘 = 𝑜𝐸𝑗𝑡𝑑𝑄𝑝𝑢

Christian Haack 18

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Requirements ▪ Pure sample of 𝜉𝜈 (tracks) (>99%) ▪ High neutrino statistics ▪ Well reconstructed events (good pointing) Diffuse Sample ▪ Six (Seven) years of data combining multiple detector configurations ▪ Purity: >99.7% ▪ High neutrino statistics: 350.000 events (2009 – 2015) ▪ High signal statistics: ~500 astrophysical 𝜉𝜈 (2009-2015)

07/15/2017

Event Selection

Christian Haack 19

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Requirements ▪ Pure sample of 𝜉𝜈 (tracks) (>99%) ▪ High neutrino statistics ▪ Well reconstructed events (good pointing) Aachen Diffuse Sample (developed by Sebastian S. & Leif R.) ▪ Six (Seven) years of data combining multiple detector configurations ▪ Purity: >99.7% ▪ High neutrino statistics: 350.000 events (2009 – 2015) ▪ High signal statistics: ~500 astrophysical 𝜉𝜈 (2009-2015)

07/15/2017

Event Selection

  • Atmosph. µ
  • Atmosph. 𝝃𝝂
  • Atmosph. 𝝃𝒇
  • Astroph. 𝝃𝝂
  • Exp. data

Neutral Currents

Christian Haack 20

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07/15/2017

Flux Templates

Atmospheric Neutrinos ▪ Prompt (heavy meson decay) ▪ Conventional (pion / kaon decay) Astrophysical Neutrinos ▪ Diffuse Galactic (powerlaw) ▪ Diffuse isotropic (powerlaw)

Christian Haack 21

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07/15/2017

Flux Templates

Atmospheric Neutrinos ▪ Prompt (heavy meson decay) ▪ Conventional (pion / kaon decay) Astrophysical Neutrinos ▪ Diffuse Galactic (powerlaw) ▪ Diffuse isotropic (powerlaw)

Christian Haack 22

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Detector Effects:

Ice properties, optical sensor efficiency

Flux Uncertainties:

Rate, shape and composition of the CR flux, rate of pion-to-kaon decay in air showers, neutrino cross sections Influence of every sys. effect on analysis variables is parametrized continously and implemented as nuisance parameters

07/15/2017

Systematic Uncertainties

position change shape change

  • S. Schoenen

Detector is symmetric in azimuth (and located at South Pole) → RA not influenced by sys. Effects

Christian Haack 23

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07/15/2017

Flux Templates

Atmospheric Neutrinos ▪ Conventional (pion / kaon decay) ▪ Prompt (heavy meson decay) Astrophysical Neutrinos ▪ Diffuse Galactic (powerlaw) ▪ Diffuse isotropic (powerlaw)

Christian Haack 24

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Q: Does the data include a contribution of galactic neutrinos? ▪ 3D histogram of observables: zenith angle, right ascension, energy ▪ Forward-folding template fit using poissonian likelihood: ▪ Likelihood ratio test: TS =

ℒ ො 𝑜𝑕𝑏𝑚𝑏𝑑𝑢𝑗𝑑, ො 𝑜𝑏𝑡𝑢𝑠𝑝 ෡ 𝜄𝑜𝑣𝑗𝑡𝑏𝑜𝑑𝑓) ℒ 𝑜𝑕𝑏𝑚𝑏𝑑𝑢𝑗𝑑=0, ෠ ො 𝑜𝑏𝑡𝑢𝑠𝑝 ෡ ෡ 𝜄𝑜𝑣𝑗𝑡𝑏𝑜𝑑𝑓)

𝑀 𝝂 𝜾, 𝝄 𝒐 = ෑ

𝑗=1 𝑂 (𝝂𝒋 𝜾, 𝝄 )𝑜𝑗

𝑜𝑗! exp(−𝝂𝒋 𝜾, 𝝄 )

07/15/2017

Analysis Methods

Bin number MC-expectation # data events Signal & Nuisance Parameters

Christian Haack 25

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High Purity Sample („Diffuse“) ▪ Upgoing track-like events ▪ Six years of data combining multiple detector configurations ▪ Purity: >99.7% ▪ ~350,000 events ▪ Allows measurement of spectral properties of astrophysical 𝜉𝜈-flux

07/15/2017

Event Selections

High Statistics Sample („Point Source“) ▪ Upgoing, downgoing and starting track- like events ▪ Seven years of data combining multiple detector configurations ▪ Contamination from atmos. Muons and neutral current (+𝜉𝑓) interactions ▪ ~700,000 events Good pointing (<0.5° @ PeV)

Christian Haack 26

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▪ Fermi LAT provides a full model for Galactic γ emission ▪ Modelling of CR injection, transport and interaction with interstellar matter

07/15/2017

Fermi Diffuse γ Model

𝜌0 IC Brems Diffuse Sum

  • Iso. BG

PS Total Sum

→ Model has difficulties explaining the total diffuse γ emission accurately

Christian Haack 27

  • M. Ackermann et al 2012 ApJ 750 3
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07/15/2017

Background reduction techniques

Two Strategies

Upgoing Neutrinos (𝜉𝜈)

  • Track Signature
  • Good Angular Res.
  • Bad Energy Res.

Starting Events (all-flavor)

  • Cascade Dominated
  • Bad Angular Res.
  • Good Energy Res.

misreconstructed µ

Downgoing Upgoing

Christian Haack 28