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Detectability of Neutrinos from
Failed Supernovae and Black Hole-
Neutron Star Mergers




     Halston Lim and Jason Liang
     North Carolina School of Science and Mathematics
                                                        1
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                 Neutrinos and their Detection
 • Fundamental particles
        – Three flavors (νe, νμ, ντ)
        – Mainly interact through weak force
 • Can propagate through matter
        – Useful when astrophysical phenomena
          are opaque to light
        – Detectors use secondary particles to                                            The fundamental particles
                                                                                          of the Standard Model
          determine if event has occurred
 • Detectors
        – Water Cherenkov (Super-Kamiokande)
        – Liquid argon (LBNE)
                                                                                                                    2
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                              Neutrino Emission
    • Neutrinos emitted by
      astrophysical phenomena
    • Core collapse supernova (SN) –
      stellar collapse and explosion
    • Emits neutrinos (99% of binding
      energy)
                                                                                            Supernova 1987A


• Analyzed important events different from typical
  SN
       - Failed supernovae (fSN)
       - Black hole-neutron star mergers (BHNSM)                                                                    3
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                      fSN and BHNSM
    • fSN
       - Very high-mass star
       - Site of nucleosynthesis
       - Would allow for first
          observation of BH
                                                                                       Artist’s conception of a fSN
          formation
    • BHNSM
           -         Thought to be linked with short-
                     period gamma-ray bursts
           -         Very luminous events
           -         Can be used to study the
                     evolution of early universe                                    Artist’s conception of a BHNSM
                                                                                                                        4
Neutrino Detection       Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                    Research Goals
   1. Determine observability of neutrinos from fSN
   and BHNSM in current and proposed detectors

   2. Compare detector signals from our events with
   signals from typical SN

    3. Investigate how well the
    parameters of the original flux
    distribution can be determined
    from interaction rates                                                        Schematic of Super-Kamiokande
                                                                                                                    5
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                   General Methods
      Use theoretical                                 After finding the
      models of fSN                                  neutrinos emitted,                                Determine the
      and BHNSM to                                   use SNOwGLoBES                                   observability of
       calculate the                                  to calculate the                                   neutrinos
         neutrino                                    what detectors on
         emission                                      Earth observe




                                                                                                   Consider existing
                                                                                               astrophysical models of
                                                                                                 fSN and BHNSM and
                                                                                                how observations will
                                                                                                confirm/reject these
         Neutrino event generated                                                                      models
         with Superscan event
         display program
                                                                                                                         6
Neutrino Detection      Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                                SNOwGLoBES
       (SuperNova Observatories with General Long Baseline Experiment Simulator)1




• Interaction rates calculator that we used to simulate neutrino events on
  Earth
• We calculated the neutrino flux from fSN and BHNSM and integrated real
  detectors parameters (cross sections, smearing, efficiencies)
[1] K. Scholberg, in APS April Meeting 2011 (2011), p. 1.
                                                                                                                            7
Neutrino Detection           Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                        Fluence Calculation




[2] H. Minakata et al., Journal of Cosmology and Astroparticle Physics 2008, 006 (2008).
[3] K. Sumiyoshi, S. Yamada, and H. Suzuki, The Astrophysical Journal 667, 32 (2007).
[4] O. L. Caballero and G. C. McLaughlin, Physical Review D 80, 123004 (2009).
                                                                                                                              8
Neutrino Detection             Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion

           Examples of Flux Parameterizations
            Garching Parameterization         3
                                      Fermi-Dirac Parameterization                                                  3




                     Best to model fSN                                                      Best to model BHNSM
                     (non-thermal emission)                                                 (thermal emission)




                                                                                                                        9
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion

            Flux Comparisons with Typical SN
                                SH fSN                                                                BHNSM


                                                                                                                                   5
                                                                 4



                                                     5




    • fSN and BHNSM have higher neutrino energies
[5] G. Shen, arXiv Preprint arXiv:1202.5791 1–20 (2012).
                                                                                                                              10
Neutrino Detection             Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion
    4

                                Event Rate Calculation

                                                            Flux            Interaction             Threshold Response x
                                                                          Cross Section x            Energy Resolution
                                                                             Secondary
                                                                        Particle Distribution




    • Calculated the flux
           – Applied intrinsic interaction and detection inputs for various
             detectors in SNOwGLoBES6


    • Main focus on liquid argon (LBNE) and water Cherenkov
      (Super-K) detectors
[6] K. Scholberg, arXiv Preprint arXiv:1205.6003 1–19 (2012).
                                                                                                                             11
Neutrino Detection            Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


a.
                                 Neutrino Detector Signal                              b.




                                                                          7




LEFT: The total number of events as a function of threshold energy is plotted for typical SN, fSN, and
BHNSM models.

RIGHT: The total number of events is shown as a function of time for typical SN (Livermore, Basel) and fSN
models (SH and LS nuclear equation of states. All events are calculated in Super-Kamiokande at 10 kpc.
[7] J. M. Lattimer and F. D. Swesty, Nuclear Physics A 535, 331 (1991).
                                                                                                                               12
Neutrino Detection              Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


      a.
                                        Observability                 b.

                       SH fSN                                                                 BHNSM




    The total number of events in various current (Super-Kamiokande, HALO, LVD, Borexino) and proposed
    (Hyper-Kamiokande, LENA, GLACIER, LBNE) detectors as a function of distance. Water Cherenkov
    (blue), liquid scintillator (red), and liquid argon (green) detectors are shown.

    Viewing neutrinos from our neighbor Andromeda (700 kpc) is feasible with new detectors.                          13
Neutrino Detection    Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                     Observed Neutrino Events
                                        Center of Milky Way (10 kpc)                   Andromeda (700 kpc)
       fSN (32 kt Super-K)              37400 events                                   8 events
       fSN (560 kt Hyper-K)             654000 events                                  134 events
       BHNSM (32 kt Super-K)            9300 events                                    2 events
       BHNSM (560 kt Hyper-K)           162000 events                                  33 events


     • Supernova 1987A, which exploded in the Large Magellanic
       Cloud 50 kpc away, only produced 20 neutrinos that were
       detected
     • Only confirmed observation of astrophysical neutrinos to date
     • The next supernova event would give many more neutrinos!


                                                                                                                     14
Neutrino Detection    Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time EvolutionParameter Determination Conclusion


                          Neutronization Burst




                                                                                fSN neutrino luminosities3
                                                                                    Neutronization burst




                                                                                                                    15
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time EvolutionParameter Determination Conclusion


                     Neutronization Burst Visibility
                 Water Cherenkov (Super-K)                                            Liquid Argon (LBNE)




                                                                                                                      16
Neutrino Detection     Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                   Nucleosynthesis




                                                                                                                    17
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion




                                                                                                                    18
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                     Nucleosynthesis Potential
            GR parameterization for fSN                                    FD parameterization for BHNSM




                                                                                                          Temperature




                                                                                                                        19
Neutrino Detection    Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                                  Results
                 • Showed differences between typical SN
                   detector signal and fSN/BHNSM detector
                   signals

                 • Calculated the number of observed events
                   from fSN and BHNSM in current and
                   proposed detectors

                 • Determined the potential for nucleosynthesis
                   to occur in fSN and BHNSM                                                                        20
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                         Future Work
       • Incorporate systematic uncertainties in parameter
         determinations

       • Apply flavor dependent flux parameterizations to
         improve fits

       • Use time-dependent models of BHNSM

       • Incorporate neutrino oscillation

                                                                                                                    21
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion


                                                  Credits
       Dr. Kate Scholberg, Duke University
       Dr. Josh Albert, Duke University
       Dr. Alex Himmel, Duke University
       Dr. Jonathan Bennett, NCSSM
       Poison Bear




                                                                                                                    22
Neutrino Detection   Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013

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Slideshow Presentation

  • 1. Detectability of Neutrinos from Failed Supernovae and Black Hole- Neutron Star Mergers Halston Lim and Jason Liang North Carolina School of Science and Mathematics 1
  • 2. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Neutrinos and their Detection • Fundamental particles – Three flavors (νe, νμ, ντ) – Mainly interact through weak force • Can propagate through matter – Useful when astrophysical phenomena are opaque to light – Detectors use secondary particles to The fundamental particles of the Standard Model determine if event has occurred • Detectors – Water Cherenkov (Super-Kamiokande) – Liquid argon (LBNE) 2 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 3. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Neutrino Emission • Neutrinos emitted by astrophysical phenomena • Core collapse supernova (SN) – stellar collapse and explosion • Emits neutrinos (99% of binding energy) Supernova 1987A • Analyzed important events different from typical SN - Failed supernovae (fSN) - Black hole-neutron star mergers (BHNSM) 3 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 4. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion fSN and BHNSM • fSN - Very high-mass star - Site of nucleosynthesis - Would allow for first observation of BH Artist’s conception of a fSN formation • BHNSM - Thought to be linked with short- period gamma-ray bursts - Very luminous events - Can be used to study the evolution of early universe Artist’s conception of a BHNSM 4 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 5. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Research Goals 1. Determine observability of neutrinos from fSN and BHNSM in current and proposed detectors 2. Compare detector signals from our events with signals from typical SN 3. Investigate how well the parameters of the original flux distribution can be determined from interaction rates Schematic of Super-Kamiokande 5 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 6. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion General Methods Use theoretical After finding the models of fSN neutrinos emitted, Determine the and BHNSM to use SNOwGLoBES observability of calculate the to calculate the neutrinos neutrino what detectors on emission Earth observe Consider existing astrophysical models of fSN and BHNSM and how observations will confirm/reject these Neutrino event generated models with Superscan event display program 6 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 7. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion SNOwGLoBES (SuperNova Observatories with General Long Baseline Experiment Simulator)1 • Interaction rates calculator that we used to simulate neutrino events on Earth • We calculated the neutrino flux from fSN and BHNSM and integrated real detectors parameters (cross sections, smearing, efficiencies) [1] K. Scholberg, in APS April Meeting 2011 (2011), p. 1. 7 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 8. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Fluence Calculation [2] H. Minakata et al., Journal of Cosmology and Astroparticle Physics 2008, 006 (2008). [3] K. Sumiyoshi, S. Yamada, and H. Suzuki, The Astrophysical Journal 667, 32 (2007). [4] O. L. Caballero and G. C. McLaughlin, Physical Review D 80, 123004 (2009). 8 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 9. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Examples of Flux Parameterizations Garching Parameterization 3 Fermi-Dirac Parameterization 3 Best to model fSN Best to model BHNSM (non-thermal emission) (thermal emission) 9 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 10. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Flux Comparisons with Typical SN SH fSN BHNSM 5 4 5 • fSN and BHNSM have higher neutrino energies [5] G. Shen, arXiv Preprint arXiv:1202.5791 1–20 (2012). 10 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 11. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion 4 Event Rate Calculation Flux Interaction Threshold Response x Cross Section x Energy Resolution Secondary Particle Distribution • Calculated the flux – Applied intrinsic interaction and detection inputs for various detectors in SNOwGLoBES6 • Main focus on liquid argon (LBNE) and water Cherenkov (Super-K) detectors [6] K. Scholberg, arXiv Preprint arXiv:1205.6003 1–19 (2012). 11 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 12. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion a. Neutrino Detector Signal b. 7 LEFT: The total number of events as a function of threshold energy is plotted for typical SN, fSN, and BHNSM models. RIGHT: The total number of events is shown as a function of time for typical SN (Livermore, Basel) and fSN models (SH and LS nuclear equation of states. All events are calculated in Super-Kamiokande at 10 kpc. [7] J. M. Lattimer and F. D. Swesty, Nuclear Physics A 535, 331 (1991). 12 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 13. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion a. Observability b. SH fSN BHNSM The total number of events in various current (Super-Kamiokande, HALO, LVD, Borexino) and proposed (Hyper-Kamiokande, LENA, GLACIER, LBNE) detectors as a function of distance. Water Cherenkov (blue), liquid scintillator (red), and liquid argon (green) detectors are shown. Viewing neutrinos from our neighbor Andromeda (700 kpc) is feasible with new detectors. 13 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 14. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Observed Neutrino Events Center of Milky Way (10 kpc) Andromeda (700 kpc) fSN (32 kt Super-K) 37400 events 8 events fSN (560 kt Hyper-K) 654000 events 134 events BHNSM (32 kt Super-K) 9300 events 2 events BHNSM (560 kt Hyper-K) 162000 events 33 events • Supernova 1987A, which exploded in the Large Magellanic Cloud 50 kpc away, only produced 20 neutrinos that were detected • Only confirmed observation of astrophysical neutrinos to date • The next supernova event would give many more neutrinos! 14 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 15. Introduction SNOwGLoBES Observed Signal Time EvolutionParameter Determination Conclusion Neutronization Burst fSN neutrino luminosities3 Neutronization burst 15 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 16. Introduction SNOwGLoBES Observed Signal Time EvolutionParameter Determination Conclusion Neutronization Burst Visibility Water Cherenkov (Super-K) Liquid Argon (LBNE) 16 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 17. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Nucleosynthesis 17 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 18. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion 18 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 19. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Nucleosynthesis Potential GR parameterization for fSN FD parameterization for BHNSM Temperature 19 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 20. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Results • Showed differences between typical SN detector signal and fSN/BHNSM detector signals • Calculated the number of observed events from fSN and BHNSM in current and proposed detectors • Determined the potential for nucleosynthesis to occur in fSN and BHNSM 20 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 21. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Future Work • Incorporate systematic uncertainties in parameter determinations • Apply flavor dependent flux parameterizations to improve fits • Use time-dependent models of BHNSM • Incorporate neutrino oscillation 21 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013
  • 22. Introduction SNOwGLoBES Observed Signal Time Evolution Parameter Determination Conclusion Credits Dr. Kate Scholberg, Duke University Dr. Josh Albert, Duke University Dr. Alex Himmel, Duke University Dr. Jonathan Bennett, NCSSM Poison Bear 22 Neutrino Detection Halston Lim and Jason Liang, North Carolina School of Science and Mathematics, Sigma Xi 2013

Notes de l'éditeur

  1. Slide numbers
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  3. We are going to change fluxPut minipictures of fluxes
  4. Talk about what flux isMake one plot for each parameterization
  5. Livermore = standardCaba… = bhnsDefinefluence
  6. We are going to change fluxPut minipictures of fluxes
  7. Water cherenkovContinuous lineBigger legendEnergy before timePut BH-NS on threshold plot
  8. Additional types of detectorsPut vertical lines for milky way, etc
  9. Additional types of detectorsPut vertical lines for milky way, etc
  10. Additional types of detectorsPut vertical lines for milky way, etc
  11. SIGNIFICANCEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE