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Gravitational waves from the pulsar glitch recovery period Mark Bennett Anthony van Eysden Andrew Melatos University of Melbourne Overview Different types of signal from a pulsar glitch Calculate GW signal using simple model of a


  1. Gravitational waves from the pulsar glitch recovery period Mark Bennett Anthony van Eysden Andrew Melatos University of Melbourne

  2. Overview  Different types of signal from a pulsar glitch  Calculate GW signal using simple model of a glitch  Estimate signal-to-noise ratio for ET  Compare the conventional and xylophone configurations for a glitch search  Blind searches for unseen glitches  Determine properties of interior from observations

  3. Pulsars and glitches  Rapidly rotating neutron stars  “Lighthouse effect”  Extremely accurate timing of pulses (up to 1 part in 10 15 )  Occasional timing irregularities: glitches  10 -11 < δΩ / Ω < 10 -4

  4. Anatomy of a glitch Recovery Spin up Spin ( < 40s) ( ~ days/weeks) (Peralta 2006)

  5. Types of GW signal Burst Signal (< 40 sec) Continuous Signal (days/weeks) Microphysics (inhomogeneous Macrophysics (nonaxisymmetric vortex rearrangement) circulation during relaxation)

  6. Glitch model  Model NS as cylinder with solid crust, fluid interior  allows analytic solutions, stratification  Glitch: step increase in crust Ω → Ω + δΩ  Interior is spun up to match crust via the process of Ekman pumping  Nonaxisymmetric interior spin-up flow → GW

  7. Continuous GW signal  Signal at f * and 2 f * 10 -25  Continuous source wave strain h(t)  long decay time-scale  coherent integration 0 increased signal-to-noise  Contains information -10 -25 1 0.6 0.8 0 0.2 0.4 about the properties of time t / t E the pulsar interior

  8. Detectability with ET Conventional ET Characteristic wave strain buoyancy Signal-to-noise ratio for integration over glitch compressibility Xylophone ET recovery period  f * = 100 Hz buoyancy  δΩ / Ω = 2 × 10 -4  distance = 1 kpc compressibility

  9. LIGO (for comparison) Initial LIGO Advanced LIGO buoyancy AdvLIGO (NS optimised) AdvLIGO (BH optimised) buoyancy compressibility compressibility

  10. Conventional vs xylophone ET

  11. Detectability Concerns  h 0 ∝ f * 3 → more common, low frequency glitches have smaller wave strain  Larger frequency derivative than usual during relaxation period

  12. Blind Search  Around 300 glitches observed from ~ 100 pulsars (out of the ~ 2000 pulsars known)  Estimated galactic population of 10 9 neutron stars, closest expected at distance of 8 pc  Must be nearby, unseen glitches that are detectable (maybe even with LIGO currently?)  Difficult to search for: unknown position, relaxation, and timing of event (however SKA, etc in future…?)

  13. Nuclear properties from GW signal  Extract properties of bulk nuclear matter in buoyancy neutron star interior  compressibility  viscosity compressibility  buoyancy  inclination angle compressibility Contours of constant amplitude ratio (blue) and width ratio (red) of Fourier spectrum peaks at f * and 2f * for plus polarisation. Inclination angle

  14. Terrestrial Experiments  Neutron radius measurements for lead (PREx)  Heavy-ion collisions (RHIC)  Viscosity ~ quantum lower bound

  15. Summary  Continuous gravitation radiation during glitch recovery period  Estimate signal-to-noise ratio for ET → large glitches detectable  Many nearby, unseen glitches with strong signals  Learn new information about pulsar interior from future GW observations

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