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The science potential of gravitational wave observation

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Presentation on theme: "The science potential of gravitational wave observation"— Presentation transcript:

1 The science potential of gravitational wave observation
A.Viceré – INFN Firenze/Urbino

2 Coupling constants Ideal information carrier,
strong e.m. weak gravity 0.1 1/137 10-5 10-39 GW emission: very energetic events but almost no interaction In SN collapse n withstand 103 interactions before leaving the star, the gravitational waves instead leave the core undisturbed Very early GW decoupling after Big Bang GW ~ s (T ~ 1019 GeV) n ~ s (T ~ 1 MeV) γ ~ s (T ~ eV) Ideal information carrier, Universe transparent to GW all the way back to the Big Bang!! Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 2/34

3 Plausible target GW amplitude
Luminosity: Amplitude: Compactness C 1 for BH 0.3 for NS 10-4 for WD Efficient sources of GW must be asymmetric, compact and fast GW detectors sensitivity expressed in amplitude h : 1/r attenuation Example target amplitude: coalescing NS/NS in the Virgo cluster (r ~10 Mpc) h ~ 10-21 Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 3/34

4 Signal partially or unknown
Synopsis of sources LONG DURATION SHORT DURATION Signal known Rotating NS Coalescing compact binaries Signal partially or unknown Stochastic GW Supernovae Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 4/34

5 1° generation design sensitivity curves
10 -24 -23 -22 -21 -20 -19 -18 1 100 1000 4 h (Hz-1/2)‏ Virgo LIGO Resonant antennas Hz GEO Core Collapse @ 10 Mpc BH-BH Merger Oscillations @ 100 Mpc Pulsars hmax – 1 yr integration BH-BH Inspiral, z = 0.4 BH-BH Inspiral, 100 Mpc QNM from BH Collisions, Msun, z=1 NS, =10 -6 , 10 kpc Msun, 150 Mpc NS-NS Inspiral, 300 Mpc NS-NS Merger 1st generation detectors Credit: P.Rapagnani Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 5/34

6 LIGO and Virgo detectors actual sensitivities
LIGO at design sensitivity, Virgo close to it Both detectors very stable  Science possible Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 6/34

7 368 days of triple-coincident LIGO data
Science Runs So Far 368 days of triple-coincident LIGO data 2002 2003 2004 2005 2006 2007 LIGO: S1 S2 S3 S4 S5 GEO: Since end of S5 / VSR1 : ► Upgrading LIGO 4-km interferometers and Virgo ► GEO and LIGO 2-km interferometer taking data whenever possible for “AstroWatch” vigil Virgo: VSR1 Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 7/34

8 1st generation detection chances
1ST GENERATION INTERFEROMETERS CAN DETECT A NS-NS COALESCENCE AS FAR AS VIRGO CLUSTER (15 MPc) LOW EXPECTED EVENT RATE: ev/yr (NS-NS) FIRST DETECTION: POSSIBLE BUT UNLIKELY Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 8/34

9 Advanced detectors sensitivity
108 ly Enhanced LIGO/Virgo+ 2009 Virgo/LIGO Credit: R.Powell, B.Berger Adv. Virgo/Adv. LIGO 2014 A factor of 10 in sensitivity  a factor 1000 in volume observed, OR event rate Advanced LIGO funded, operational in Advanced Virgo to be approved; with less changes, possibly operational in same years Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze 9/34

10 The Supernovae At the origin of most compact objects
Estimated rate: several /yr in the VIRGO cluster; a few / century in our galaxy Integral has measured the gamma emission by Al26 isotope, whose abundance in our galactic centre confirms this rate Latest to explode: Sanduleak, the well known 1987a, in the Magellanic clouds (50 kpc away) Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

11 Supernovae and GW Dynamics and waveform from collapse hard to model
A variety of short bursts of GW are predicted. Actual observation will constrain the models What is clear, is that GW and n emissions are almost simultaneous Simulations suggest EGW~10-6 Mʘc2, while NS kick velocities suggest possible strong asymmetries. There could be surprises. GW emitted secs hrs Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34 [Zwerger, Muller]

12 What we know so far about GW and burst events
The most-recent published results use S4 data LIGO-only search[ Classical and Quantum Gravity 24, 5343 (2007) ] ► Searched days of triple-coincidence data (H1+H2+L1) for short (<1 sec) signals with frequency content in range Hz ► No event candidates observed ► Upper limit on rate of detectable events: per day (at 90% C.L.) ► Sensitive to GW energy emission as small as ~10-7 M at 10 kpc, or ~0.25 M at the distance of the Virgo Cluster LIGO-GEO joint search [ CQG 25, (2008) ] First use of fully-coherent network analysis for burst signals S5 / VSR1 all-sky search is currently under internal review Factor of ~2 better amplitude sensitivity, and much longer observation time Doing coherent network analysis using LIGO and Virgo data Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

13 Targeting SNe and low energy 's
Boost detection confidence Neutrino and GW expected within a few ms delay Very tight coincidence can be required Constrain  mass strongly 1ms accuracy: m < 1eV constrain

14 Coalescing binaries and PSR1913+16
Pulsar bound to a “dark companion”, 7 kpc from Earth. Relativistic clock: vmax/c ~10-3 GR predicts such a system to loose energy via GW emission: orbital period decrease Radiative prediction of general relativity verified at 0.2% level Nobel Prize 1993: Hulse and Taylor P (s) (9) dP/dt -2.425(10)·10-12 dw/dt (º/yr) (18) Mp 1.442 ± M Mc 1.386 ± M Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

15 CB signals as probes of compact object dynamics
[Campanelli et al., PRL, 2006] CB signals as probes of compact object dynamics Pairs of compact stars, like PSR , but close to the final “coalescence” PBH: Primordial Black Holes (in the galactic halo): M in [0.2, 0.9] BNS: Binary neutron stars: M in [0.9, 3.0] BBH: Binary black holes: M in [3, 20] NS-BH: mixed systems Inspiral signal accurately predictable Newtonian dynamics Post-Newtonian corrections (3PN, (v/c)11/2) [L.Blanchet et al., 1996] Recent big progress in merger 3D simulation [Baker et al 2006, Praetorious 2006] Crucial to extract physics, mostly encoded in the merger phase Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

16 Coalescing binaries as standard candles
[Campanelli et al., PRL, 2006] Coalescing binaries as standard candles chirp The signal instantaneous frequency is linked to the mass parameters of the system The instantaneous GW luminosity is linked to the mass as well Signal at Earth scales down by distance From the multiple observation of the same signals, the signal strength at Earth can be determined, and translated into a distance An alternative method to measure the Hubble constant Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

17 Binary inspiral searches so far
New result from first year of S5 data No inspiral signals detected Using population models, calculated 90% confidence limits on coalescence rates: For binary neutron stars: ×10–2 per year per L10 For 5+5 M binary black holes: ×10–3 For BH-NS systems: ×10–2 (Slightly tighter limits if BHs are assumed to have no spin) 100 Mpc Milky way is 1.7 L10 Rates could plausibly be as high as 5e-4 for BNS, 6e-5 for BBH or BHNS i.e. about two orders of magnitude away from plausible rates Also, S4 ringdown search paper in preparation [ Preprint arXiv: ] Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

18 Coalescing binaries and association with GRB events
Swift now, Fermi (GLAST) keep looking at  rays from GRB GRB powered by accretion disks on newly formed objects Neutrino and GW expected within a few ms delay Short GRB (< 2s) potentially related to BNS, BH-NS Long GRB (>2s, average 30s) related to (classes of) SNe Again, boost detection confidence Provide insight in the fireball mechanism

19 The GRB 070201 case Short, hard gamma-ray burst
Leading model for short GRBs: binary merger involving a neutron star Position (by IPN  triangulation using time of arrival on different gamma satellites) consistent with being in M31 LIGO Hanford detectors were operating Searched for inspiral & burst signals Result from LIGO data analysis: No plausible GW signal found; therefore very unlikely to be from a binary merger in M31 [ ApJ 681, 1419 (2008) ] Hundreds of GRB occurred during the live time of LIGO and Virgo detectors: still under analysis Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

20 BNS events: can ground detectors see them?
Empirical models Use observed (4) galactic binary systems coalescing on timescales comparable to Universe age Infer # of events/Milky Way Equivalent Galaxy Assume galactic density 0.01 Mpc-3 Population synthesis models Use galactic luminosity to deduce star formation rate Alternatively, use supernova events to calibrate the number of massive stars Model binary formation and evolution to deduce # of systems coalescing in less than Hubble time

21 Example: range of predictions for BNS in AdV
Wide range of variability Empirical models uncertains because of the small number of systems observed Population synthesis models vary because of physical assumptions and uncertainty in parameters GW observations can constrain stellar evolution models Each Advanced LIGO or AdV sees a BNS beyond 150 Mpc; will see sufficient events to shed light on stellar evolution models

22 Even more uncertain: binary black holes rates
Until recently, entirely based on models Evolve populations of stars, based on current knowledge of massive star populations Only masses < 10 M are simulated BBH population synthesis very uncertain Merger rates vary by factors of hundreds If model A is true, prospects of detection are dim! However ...

23 An empirical prediction about binary black holes
IC10 X-1 Binary system in local group (~ 700 kpc)‏ Includes a BH, m~24 Mo, and a massive Wolf-Rayet star, m~ 35 Mo Allows to predict a rate (Bulik et al.)‏ The WR will evolve in BH, without disrupting the binary system The resulting system should have Mchirp~14Mo Such systems are detectable by AdV up to 1.1 Gpc ... Rate for AdV should be ~ 250 /year Rate for combined Advanced LIGO – AdV ~ 2500/year

24 Another look at neutron stars
Complicated objects a solid crust of nuclear matter an inner core which could be superfluid Can sustain oscillation modes, whose f0 and Q are related to the structure and the equation of state of the NS matter A strong magnetic field , O(108 T) Numerous: 109 NS in the galaxy, 163 known in LIGO/Virgo band Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

25 Spinning Neutron Stars
Non-axisymmetric, triaxial rotating NS emit periodic GW at f=2fspin Signal can be increased by integrating over long times (months)‏ Doppler correction of Earth motion needed (f/f  10-4) Makes search more difficult, but Makes the signal distinguishable from the (many) periodic noises present in the detectors Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

26 Searches for Periodic Signals from Known Radio/X-ray Pulsars
Allow data demodulation, correcting for motion of detector Doppler frequency shift, amplitude modulation from antenna pattern S5 preliminary results (using first 13 months of data): Place limits on strain h0 and equatorial ellipticity e ► e limits as low as ~10–7 It’s plausible that an ordinary neutron star could sustain an ellipticity as large as ~10–6 ; Some models allow larger Crab Plot from Greg Mendell’s talk at Amaldi in July 2007 Lowest epsilon limit presented by Matt in April 2007 APS meeting; note that there was a correction after that, but in both cases the value was less than 1e-7. Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

27 Known pulsars: AdV limits on h
Dots: spin down limits. Beaten by AdV for about 40 known objects

28 GW from Soft Gamma Repeaters
SGRs are believed to be magnetars NS with exceedingly large magnetic fields, O(1011 T) Occasional flares of soft gamma rays May be associated with cracking of the crust that excites vibration f-modes of the neutron star LIGO searched for GW signals associated with SGR flares Dec “giant” flare of SGR 1806–20 190 flares from SGR 1806–20 and SGR during first year of S5 Placed upper limits on GW signal energy for each flare [ PRL 101, (2008) ] Within the energy range predicted by some models LIGO also searched for GW signals matching the quasiperiodic oscillations seen in X-rays in the tail of the Dec giant flare Placed upper limits [ PRD 76, (2007) ] Smallest gamma: 30 Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

29 Stochastic Background of Gravitational Waves
Weak, random gravitational waves should be bathing the Earth Left over from the early universe, analogous to CMBR ; or due to overlapping signals from many astrophysical objects / events Energy density Characterized by log spectrum Related to the strain power spectrum Strain scale BBN bound is 1.1e-5 Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

30 Stochastic background models and constrains
Credit: B.Sathyaprakash LIGO S1, 2 wk data h1002 < 23 PRD (2004) LIGO S3, 2 wk data h1002 < 8 x 10-4 PRL (2005)‏ Laser Interferometer Space Antenna - LISA -2 CMB Pulsar Nucleosynthesis (0h1002 )‏ -4 Cosmic strings Initial LIGO, 1 yr data Expected h1002 < 2x10-6 -6 Log -8 Advanced IFOs, 1 yr data Expected h1002 < 7x10-10 Pre-big bang model -10 EW or SUSY Phase transition Inflation -12 -14 Slow-roll Cyclic model -18 -16 -14 -12 -10 -8 -6 -4 -2 2 4 6 8 10 Log ( f [Hz])‏ Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

31 Astrophysical backgrounds
A network can locate point sources of random GW signals Such could be objects of astrophysical interests, for instance very large black holes in active galaxies A network of three detector sites, like the LIGO – Virgo network, with multiple baselines, allows to map the sky with good resolution

32 Benefits by a GW detector network
LIGO VIRGO False alarm rejection thanks to coincidence Triangulation allowing to pinpoint the source A network allows to deconvolve detector response and regress signal waveform --> measure signal parameters, including source distance for BNS signals Joint operation yields a longer observation time, and a better sky coverage Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34 32

33 frequency f / binary black hole mass whose freq at merger=f
Credit: B.Sathyaprakash h (1/√Hz)‏ 10-22 10-23 10-24 10-25 Current detectors LISA 2008 2015 Adv detectors 2013 3rd generation 2020 0.1mHz mHz Hz k frequency f / binary black hole mass whose freq at merger=f 4x x x103 M Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34

34 The role of new instruments
Better coverage of the frequency spectrum To fill the gap between LISA and the ground based detectors Some sources, like coalescing binaries, have much more signal at lower frequencies: for instance LISA can see BBH in the whole universe  requirements on sensitivity are less stringent Increased number of detectors To provide a better sky coverage  more events To improve the detection capabilities  reject background To reconstruct the signal more accurately  better science Arcetri – February 23rd, A.Viceré – Università di Urbino & INFN Firenze /34


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