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New Measurement of the Flavor Composition of High-Energy Neutrino Events with Contained Vertices in IceCube TeVPA 2018 Juliana Stachurska Motivation IceCube observed astrophysical neutrinos, and identified first source Measure flavor


  1. New Measurement of the Flavor Composition of High-Energy Neutrino Events with Contained Vertices in IceCube TeVPA 2018 Juliana Stachurska

  2. Motivation • IceCube observed astrophysical neutrinos, and identified first source • Measure flavor composition ? → learn about environment at production sites • Neutrino mixing → flavor composition at source ≠ flavor composition on Earth • Pion decay: 
 ν e : ν μ : ν τ =1:2:0 at source → ν e : ν μ : ν τ ≈ 1:1:1 on Earth • Other source flavor compositions possible 2 Juliana Stachurska

  3. Flavor Composition ν e : ν µ : ν τ at source HESE with ternary PID 0.0 IceCube APJ 2015 1.0 0:1:0 20 1:2:0 18 0.2 1:0:0 IceCube 0.8 16 Preliminary ν τ F − 2 ∆ log(Likelihood) r f a 14 o 0.4 c t n i o o 0.6 12 n i t c o a f 10 r 0.6 F ν µ 8 0.4 6 0.8 6 68 % 68 % 8 0.2 4 95 % 95 % 2 1.0 0.0 0 0.0 0.2 0.4 0.6 0.8 1.0 Fraction of ν e M. Usner, PoS(ICRC2017)974 3 Juliana Stachurska

  4. Flavor Composition • Flavor composition measurement needs tau neutrino sensitivity • Vanishing atmospheric component → tau neutrinos are astrophysical neutrinos! • No tau neutrino inter- 
 ν e : ν µ : ν τ at source HESE with ternary PID 0.0 IceCube APJ 2015 1.0 0:1:0 20 actions in IceCube 
 1:2:0 18 0.2 observed in 6 
 1:0:0 IceCube 0.8 16 Preliminary ν τ years of HESE data F − 2 ∆ log(Likelihood) r f a 14 o 0.4 c t n • Data reprocessing after recali- 
 i o o 0.6 12 n i t c o a f 10 bration of the detector for 7.5 
 r 0.6 F ν µ 8 0.4 year HESE analysis + improved 
 6 0.8 software, likelihood, ice model 68 % 6 68 % 8 0.2 4 • Now integral part of HESE, using 
 95 % 95 % 2 1.0 ternary topology for event 
 0.0 0 0.0 0.2 0.4 0.6 0.8 1.0 classification 
 Fraction of ν e M. Usner, PoS(ICRC2017)974 3 Juliana Stachurska

  5. Double Cascade Signal • ν τ interaction • Charged current (71%) • Tau decays into hadrons / electrons (83%) • Mean length: 50m x energy/1PeV ν τ τ had./ ν τ ν τ em. had simulated 10PeV Double Cascade event 4 Juliana Stachurska

  6. Background Cascades: All nc interactions ν e cc interactions ν τ cc interactions with unresolvable lengths Tracks: ν μ cc interactions Atmospheric muons ν τ cc interactions with muonic tau decay 5 Juliana Stachurska

  7. Analysis Overview All HESE events in 7.5 years of data above 60 TeV 6 Juliana Stachurska

  8. Analysis Overview All HESE events in 7.5 years of data above 60 TeV Observables from direct double-cascade reconstruction 6 Juliana Stachurska

  9. Analysis Overview All HESE events in 7.5 years of data above 60 TeV Observables from direct double-cascade reconstruction m 0 1 > 6 Juliana Stachurska

  10. Analysis Overview All HESE events in 7.5 years of data above 60 TeV Observables from direct double-cascade reconstruction m 0 1 > Single cascade Track sample with ν τ – sample with not well- cc interactions creating Double cascade sample: 
 reconstructable ν τ – μ , ν μ – and atm. μ – ν τ + N τ + hadrons >10m cc interactions, all tracks hadrons / electrons other cascades 6 Juliana Stachurska

  11. Analysis Overview All HESE events in 7.5 years of data above 60 TeV Observables from direct double-cascade reconstruction m 0 1 > Single cascade Track sample with ν τ – sample with not well- cc interactions creating Double cascade sample: 
 reconstructable ν τ – μ , ν μ – and atm. μ – ν τ + N τ + hadrons >10m cc interactions, all tracks hadrons / electrons other cascades Flavor composition 6 Juliana Stachurska

  12. Selection HESE event class track single double energy confinement cut energy asymmetry cut single double track Topology ID sample E 1 E 2 ν τ ν τ length 7 7 Juliana Stachurska

  13. Selection HESE event class track single double energy confinement cut (E 1,C +E 2,C )/(E 1 +E 2 ) ≥ 0.99 energy asymmetry cut single double track Topology ID sample E 1 E 2 E 1 E 2 ν τ ν μ μ ν τ E 1,C E 2,C E 1,C E 2,C 7 7 Juliana Stachurska

  14. Selection HESE event class track single double energy confinement cut energy asymmetry cut -0.98 ≤ (E 1 -E 2 )/(E 1 +E 2 ) ≤ 0.3 single double track Topology ID sample E 1 E 2 E 1 E 2 ν τ ν e ν τ length length 7 7 Juliana Stachurska

  15. Results • 2 events in Double Cascade bin • Soft spectral index: 2.9 → expect ~2.1 events (~1.4 signal + ~0.7 background) 8 Juliana Stachurska

  16. Results Maximum likelihood flavor composition fit based on 2D histograms: • Zenith & energy for single cascades, tracks • Length & energy for double cascades • Best-fit ν e : ν μ : ν τ = 0.29:0.50:0.21 • Consistent with previous measurements and expectation of ~1:1:1 for astrophysical neutrinos • Zero ν τ flux cannot be excluded • Systematic errors not included 9 Juliana Stachurska

  17. Event #1 (E1-E2)/(E1+E2) = 0.29 single cascade double cascade exp. data reco with bright DOMs reco without bright DOMs 50 160 400 500 bright DOM* bright DOM* Detected Photons 140 350 1.2 PeV 0.6 PeV 40 400 120 300 100 250 30 300 80 200 20 200 60 150 40 100 10 100 20 50 16 m 0 0 0 0 200 • Observed 2012 150 100 • Shows no clear 50 preference between 0 140 a single cascade 120 saturated 100 and double 80 60 cascade hypothesis 40 20 0 50 40 30 20 10 WORK IN PROGRESS 0 * Bright DOMs are excluded from this analysis Time 10 Juliana Stachurska

  18. Event #2 (E1-E2)/(E1+E2) = -0.80 single cascade double cascade exp. data reco with bright DOMs reco without bright DOMs 20 40 120 350 bright DOM* bright DOM* Detected Photons 35 9 TeV 300 100 80 TeV 15 30 250 80 25 200 10 20 60 150 15 40 100 5 10 20 50 5 17 m 0 OM(20, 27): 1506.9 pe 0 0 0 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . 5 10 . 6 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . 9 . 8 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 350 10 . 9 . 8 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 bright DOM* 300 • Observed 2014 250 200 150 • Observed light 100 50 arrival pattern 0 250 bright DOM* 200 clearly favors double 150 cascade hypothesis 100 50 0 100 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . bright DOM* 80 60 40 20 WORK IN PROGRESS 0 * Bright DOMs are excluded from this analysis Time 11 Juliana Stachurska

  19. Energy Asymmetry • Only a straight cut was used • Afterwards all events in Double Cascade bin treated the same regardless of energy asymmetry value • Mainly due to computational issues • Plan: incorporate all information into Energy asymmetry for best-fit spectrum, “tauness” and a ν e : ν μ : ν τ = 1:1:1 composition 12 Juliana Stachurska

  20. Summary • Performed HESE ν τ -induced Double Cascade single cascade double cascade exp. data reco with bright DOMs reco without bright DOMs 20 40 120 350 bright DOM* bright DOM* Detected Photons 35 100 300 15 30 250 80 25 search and flavor composition measurement on 7.5 200 10 20 60 150 15 40 100 5 10 20 5 50 0 0 0 0 OM(20, 27): 1506.9 pe 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . 5 10 . 6 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . 9 . 8 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 350 10 . 9 . 8 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 years of data bright DOM* 300 250 200 150 100 • Now feedback of topology into HESE sample 50 0 250 bright DOM* 200 150 • Improved ice model, likelihood, software 100 50 0 100 9 . 9 10 . 0 10 . 1 10 . 2 10 . 3 10 . 4 10 . bright DOM* • Data reprocessing “Pass 2” 80 60 40 20 • Identified 2 ν τ candidate events WORK IN PROGRESS 0 * Bright DOMs are excluded from this analysis Time =? • One of which shows obvious signatures of a double cascade • A posteriori analysis of the events is ongoing • Incorporate more observables into likelihood • Complementary tau searches using “double pulse” signature are in preparation Updates coming soon - STAY TUNED 13 Juliana Stachurska

  21. BACKUP 14 Juliana Stachurska

  22. Improvements wrt. 6-year analysis • Data reprocessing after recalibration of the detector: • single photon electron (SPE) peak shift → reconstructed energy decreased by ~5% on average • “Pass 2” • Improved software: • minimizer tolerance decreased • various minor bugfixes • Improved ice model “Spice3.2”: • better constrained bulk ice parameters • 25% higher anisotropy • holeice modeling • New “SAY” likelihood: • takes into account limited MC statistics • Now integral part of HESE: • events classified using ternary topology ID based on observables 15 Juliana Stachurska

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