LIGO-G060363-00-Z Results from LIGO Observations Stephen Fairhurst University of Wisconsin - Milwaukee on behalf of the LIGO Scientific Collaboration.

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Presentation transcript:

LIGO-G Z Results from LIGO Observations Stephen Fairhurst University of Wisconsin - Milwaukee on behalf of the LIGO Scientific Collaboration

LIGO-G Z Introduction ● Overview of LIGO searches for gravitational wave transients – Signals lasting from a few ms to a few minutes ● Broadly split into two categories: – Well modelled sources ● Binary inspiral, black hole ringdown, cosmic string cusps – Unmodelled sources ● BH merger, core-collapse supernovae, GRB engines,... ● No GW identified so far, but upper limits are becoming astrophysically interesting.

LIGO-G Z Outline ● Gravitational wave bursts – Unmodelled bursts – Astronomically triggered searches ● Coalescing binaries – Binary neutron stars – Binary black holes

LIGO-G Z Gravitational Wave Bursts ● Produced during cataclysmic events involving stellar-mass (1-100 M ⊙ ) compact objects: ● Core-collapse supernovae ● Accreting/merging black holes ● Gamma-ray burst engines ● Unexpected... ● Probe interesting new physics and astrophysics: ● dynamical gravitational fields, black hole horizons, matter at supra-nuclear density,... ● Uncertain waveforms complicate detection.

LIGO-G Z Excess power detection ● Look for transient increase in power in some time-frequency region: – Minimal assumptions about signal – Duration: 1 to 100 ms ● Characteristic time scale for stellar mass objects – Frequency: 60 to 2,000 Hz ● Determined by detector's sensitivity – Many different implementations ● Fourier modes, wavelets, sine-Gaussians ● Multiple time/frequency resolutions ● Provide redundancy and robustness Simulated binary inspiral signal in S5 data

LIGO-G Z Consistency Checks ● Require time and frequency coincidence in three LIGO detectors. ● Follow up coincidences with: – Amplitude consistency between co-located H1-H2 detectors – Cross correlation of data from pairs of detectors – Check environmental and auxiliary channels for: ● Earthquakes, airplanes, trains, instrumental misbehaviour,... – Remove times of poor data quality – Veto events associated to known noise sources ● Compare remaining events with background estimated by repeating analysis with large time shifts of detector data.

LIGO-G Z Burst Search Results ● Analysis of data from first three science runs (S1-S3) complete: 1. B. Abbott et al. (LSC), First upper limits from LIGO on gravitational wave bursts. Phys. Rev. D 69, (2004). 2. B. Abbott et al. (LSC), A Search for Gravitational Waves Associated with the Gamma Ray Burst GRB Using the LIGO Detectors. Phys. Rev. D 72, (2005). 3. B. Abbott et al. (LSC), Upper Limits on Gravitational Wave Bursts in LIGO's Second Science Run. Phys. Rev. D 72, (2005) 4. B. Abbott et al. (LSC), T. Akutsu et al. (TAMA), Upper Limits from the LIGO and TAMA Detectors on the Rate of Gravitational-Wave Bursts. Phys. Rev. D 72, (2005) 5. B. Abbott et al. (LSC), Search for gravitational wave bursts in LIGO's third science run. Class. Quant. Grav. 23, S29-S39 (2006) ● Results from S4 being finalised. ● S5 search in progress.

LIGO-G Z Detection Efficiency ● Evaluate efficiency by adding simulated GW bursts to the data. – Example waveform Central Frequency Detection Efficiency S4 ● S5 sensitivity: minimum detectable in band energy in GW – E GW > 1 M 75 Mpc – E GW > 0.05 M 15 Mpc (Virgo cluster)

LIGO-G Z S2 S1 S4 projected Excluded 90% CL S5 projected Rate Limit (events/day) Upper Limits ● No GW bursts detected through S4 – set limit on rate vs signal strength. Lower amplitude limits from lower detector noise Lower rate limits from longer observation times

LIGO-G Z Triggered Searches ● Follow up times around interesting astronomical triggers, particularly gamma-ray bursts – Compare results with those from time shifts ● No loud signals seen ● Look for cumulative effect – Use binomial test to compare to uniform distribution ● No significant difference from expectation 54 GRB tests most significant excess at 9 th least probable event: P ≥ 9 (p 9 ) = S2/S3/S4 result

LIGO-G Z Outline ● Gravitational wave bursts – Unmodelled bursts – Astronomically triggered searches ● Coalescing binaries – Binary neutron stars – Binary black holes

LIGO-G Z Coalescing Binaries ● LIGO is sensitive to gravitational waves from neutron star and black hole binaries InspiralMergerRingdown

LIGO-G Z Target Sources M ⊙ 20 Mpc M ⊙ 20 Mpc M ⊙ 20 Mpc ● Use templated search – Require waveform consistency ● Use detection templates for higher masses ● Require time and mass coincidence between 2 or more detectors ● Data quality/followup similar to burst searches

LIGO-G Z Target Sources Component Mass, M ⊙ Component Mass, M ⊙ PBH S2 – S5 BNS S1 – S5 BBH: S2 – S5 Ringdown: S4 – S5 Coincidence with burst search NS/BH spin important S3 – S5 ● Binary Black Hole – Estimates give upper bound of 1/year for LIGO during S5 ● Binary Neutron Star – Estimates give upper bound of 1/3 year for LIGO during S5

LIGO-G Z Binary Neutron Stars S2 Observational Result Phys. Rev. D. 72, (2005) cumulative number of events signal-to-noise ratio squared Rate < 47 per year per Milky-Way-like galaxy; 0.04 yr data, 1.27 Milky-Ways ● S3 search complete – Under internal review – 0.09 yr of data – ~3 Milky-Way like galaxies for 1.4 – 1.4 M ⊙ ● S4 search complete – Under internal review – 0.05 yr of data – ~24 Milky-Way like galaxies for 1.4 – 1.4 M ⊙

LIGO-G Z S5 Binary Neutron Stars ● First three months of S5 data have been analyzed ● Horizon distance – Distance to M ⊙ optimally oriented & located binary at SNR 8 H1: 25 Mpc L1: 21 Mpc H2: 10 Mpc Virgo Cluster S2 Horizon Distance 1.5 Mpc

LIGO-G Z Binary Black Holes signal-to-noise ratio squared Rate < 38 per year per Milky-Way-like galaxy S2 Observational Result Phys. Rev. D. 73, (2006) Log| cum. no. of events | ● S3 search complete – Under internal review – 0.09 yr of data – ~5 Milky-Way like galaxies for 5-5 M ⊙ ● S4 search complete – Under internal review – 0.05 yr of data – ~150 Milky-Way like galaxies for 5-5 M ⊙

LIGO-G Z S5 Binary Black Holes Image: R. Powell Average over run 130Mpc 1 sigma variation binary black hole horizon distance binary neutron star horizon distance ● Horizon distance vs mass for BBH Peak at total mass ~ 25M ⊙

LIGO-G Z Conclusions ● Analysis of LIGO data is in full swing – In the process of acquiring one year of coincident data at design sensitivity. – “Online” analysis & follow-up provide rapid feedback to experimentalists. – Results from fourth and fifth LIGO science runs are appearing. ● Burst searches – Rate and amplitude sensitivites continue to improve ● Minimum detectable in-band energy: E GW ~ 1 M ⊙ at r ~100 Mpc. ● Inspiral searches – S5 sensitivity makes this an exciting time for gravitational wave astronomy and astrophysics.

LIGO-G Z Looking Forward

LIGO-G Z Looking Forward