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Pulsar Searching and Timing R. N. Manchester CSIRO Astronomy and Space Science Sydney Australia Summary Introduction to pulsars and timing Binary pulsar.

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Presentation on theme: "Pulsar Searching and Timing R. N. Manchester CSIRO Astronomy and Space Science Sydney Australia Summary Introduction to pulsars and timing Binary pulsar."— Presentation transcript:

1 Pulsar Searching and Timing R. N. Manchester CSIRO Astronomy and Space Science Sydney Australia Summary Introduction to pulsars and timing Binary pulsar timing Pulsar timing arrays Searching for pulsars Prospects for FAST - with application to FAST

2 Spin-Powered Pulsars: A Census Data from ATNF Pulsar Catalogue, V1.44 (www.atnf.csiro.au/research/pulsar/psrcat) (Manchester et al. 2005) Currently 2008 known (published) pulsars 1846 rotation-powered disk pulsars 186 in binary systems 252 millisecond pulsars 141 in globular clusters 8 X-ray isolated neutron stars 16 AXP/SGR 20 extra-galactic pulsars

3 Pulsar Origins MSPs are very old (~10 9 years). Mostly binary They have been ‘recycled’ by accretion from an evolving binary companion. This accretion spins up the neutron star up to millisecond periods During the accretion phase the system may be detectable as an X-ray binary system. Normal Pulsars: Formed in supernovae Periods between 0.03 and 10 s Relatively young (< 10 7 years) Mostly single (non-binary) Pulsars are believed to be rotating neutron stars – two main classes: Millisecond Pulsars (MSPs): (ESO – VLT)

4 Neutron stars are tiny (about 25 km across) but have a mass of about 1.4 times that of the Sun They are incredibly dense and have gravity 10 12 times as strong as that of the Earth Because of this large mass and small radius, their spin rates - and hence pulsar periods – are very stable e.g., on February 4, 2008, PSR J0437-4715 had a period of : 5.757451936712629  0.000000000000001 ms Although pulsar periods are very stable, they are not constant. Pulsars lose energy and slow down Typical slowdown rates are less than a microsecond per year Pulsars as Clocks

5 Add many pulses to form a mean pulse profile Cross-correlate observed mean profile with a standard template to give the pulse time-of-arrival (ToA) Measure a series of ToAs over days – weeks – months – years Transfer ToAs to an inertial frame - the Solar System barycentre Compare barycentric ToAs with predicted values from a model for pulsar – the differences are called timing residuals. Fit the observed residuals with functions representing errors in the model parameters (pulsar position, period, binary period etc.) Gives improved parameters:  P ~ rms residual/data span Remaining residuals may be noise – or may be science! Measurement of pulsar periods

6 Pulsars are diverse with several different classes Most pulsars have P ~ 10 -15 MSPs have P smaller by about 5 orders of magnitude Most MSPs are binary, but few normal pulsars are  c = P/(2P) is an indicator of pulsar age (and lifetime) Surface dipole magnetic field ~ (PP) 1/2 The P – P Diagram..... P = Pulsar period P = dP/dt = slow-down rate. Galactic Disk pulsars MSPs have lifetimes of ~10 10 years!

7 Sources of Pulsar Timing “Noise”  Intrinsic noise Period fluctuations, glitches Pulse shape changes  Perturbations of the pulsar’s motion Gravitational wave background Globular cluster accelerations Orbital perturbations – planets, 1 st order Doppler, relativistic effects  Propagation effects Wind from binary companion Variations in interstellar dispersion Scintillation effects  Perturbations of the Earth’s motion Gravitational wave background Errors in the Solar-system ephemeris  Clock errors Timescale errors Errors in time transfer  Receiver noise  Instrumental errors Radio-frequency interference and receiver non-linearities Digitisation artifacts or errors Calibration errors and signal processing artifacts and errors Pulsars are powerful probes of a wide range of astrophysical phenomena

8  Discovered at Arecibo Observatory by Russell Hulse & Joe Taylor in 1975  Pulsar period 59 ms, a recycled pulsar  Doppler shift in observed period due to orbital motion  Orbital period only 7 hr 45 min  Maximum orbital velocity 0.1% of velocity of light Relativistic effects detectable! PSR B1913+16: The First Binary Pulsar

9 Post-Keplerian Parameters: PSR B1913+16 Periastron advance: 4.226607(7) deg/year  M = m p + m c Gravitational redshift + Transverse Doppler: 4.294(1) ms  m c (m p + 2m c )M -4/3 Orbital period decay: -2.4211(14) x 10 -12  m p m c M -1/3 Given the Keplerian orbital parameters and assuming general relativity: First two measurements determine m p and m c. Third measurement checks consistency with adopted theory. (Weisberg & Taylor 2005) M p = 1.4408  0.0003 M sun M c = 1.3873  0.0003 M sun Both neutron stars!

10 Rapid orbital motion of two stars in PSR B1913+16 generates gravitational waves Energy loss causes slow decrease of orbital period Can predict rate of orbit decay from known orbital parameters and masses of the two stars using general relativity Ratio of measured value to predicted value = 1.0013  0.0021 (Weisberg & Taylor 2005)  Confirmation of general relativity!  First observational evidence for gravitational waves! PSR B1913+16 Orbit Decay Orbital Decay in PSR B1913+16

11 The first double pulsar!  Discovered at Parkes in 2003  One of top ten science break- throughs of 2004 - Science  P A = 22 ms, P B = 2.7 s  Orbital period 2.4 hours!  Periastron advance 16.9 deg/yr! (Burgay et al., 2003; Lyne et al. 2004) Highly relativistic binary system! PSR J0730-3039A/B

12 GR value Measured value Improves as  Periast. adv. (deg/yr) - 16.8995  0.0007 T 1.5  Grav. Redshift (ms) 0.3842 0.386  0.003 T 1.5 P b Orbit decay -1.248 x 10 -12 (-1.252  0.017) x 10 -12 T 2.5 r Shapiro range (  s) 6.15 6.2  0.3 T 0.5 s Shapiro sin i 0.99987 0.99974 T 0.5 Measured Post-Keplerian Parameters for PSR J0737-3039A/B.. GR is OK! Consistent at the 0.05% level! (Kramer et al. 2006) Non-radiative test - distinct from PSR B1913+16 +16 -39

13 The Double Pulsar: Update PSR J0737-3039B has disappeared! Beam has moved away due to orbital precession Expected to return in 5 – 10 years (Kramer et al. 2012) Continued timing at Parkes and GBT has refined relativistic parameters Now limits deviations from GR to 0.02% Good prospects for detection of relativistic orbit deformation and measurement of pulsar moment of inertia

14 PSR J1614-2230 Binary millisecond pulsar discovered in GBT search of unidentified Fermi gamma-ray sources Pulsar period ~ 3.15 ms, characteristic age ~5.2 Gyr Almost circular orbit, binary period ~ 8.68 days Timed at GBT with dense observations over one orbit Clear Shapiro delay detection: (Demorest et al. 2010)  Orbit inclination = 89.17(2) deg.!  Companion mass = 0.500(6) M sun  Pulsar mass =1.97(4) M sun !! Large pulsar mass can’t be attributed to accretion  Neutron star born massive

15 (Demorest et al. 2010) PSR J1614-2230 Shapiro Delay a)Shapiro delay signature b)Timing residuals after fitting for all pulsar parameters except Shapiro delay c)Final timing residuals Orbital Phase

16 Mass-Radius Diagram for Neutron Stars PSR J1614-2230 result rules out soft NS EOSs and most models involving exotic hadronic matter

17 Pulsar Timing Arrays (PTAs) A PTA consists of many pulsars widely distributed on the sky with frequent high-precision timing observations over a long data span Aims to detect signals which are correlated between different pulsars Only millisecond pulsars can be timed with sufficient precision and have sufficiently stable periods to reach main objectives PTAs can detect a stochastic gravitational-wave background - requires observations of ~20 MSPs over 5 – 10 years – could be first direct detection of gravitational waves (GWs)! PTAs can detect instabilities in terrestrial time standards and establish a pulsar timescale PTAs can improve our knowledge of Solar System properties, e.g. masses and orbits of outer planets and asteroids Idea first discussed by Hellings & Downs (1983), Romani (1989) and Foster & Backer (1990)

18 Detecting a Stochastic GW Background TEMPO2 simulation for the PPTA data set Hellings & Downs correlation function (Hobbs et al. 2009) Super-massive black-hole binary (SMBHB) systems in the cores of distant galaxies (formed through galaxy mergers) will generate a stochastic background of GWs in the Galaxy GWs passing over the pulsars will generate an uncorrelated signal GWs passing over the Earth will generate a correlated signal For an isotropic stochastic background, the correlation in the timing residuals for pulsar pairs is dependent only on the angle between the pulsars Anti-correlation for angles ~90 o because of quadrupolar nature of GWs

19 Major Pulsar Timing Array Projects  European Pulsar Timing Array (EPTA) Radio telescopes at Westerbork, Effelsberg, Nancay, Jodrell Bank, (Cagliari) Currently used separately, but plan to combine for more sensitivity High-quality data (rms residual < 2.5  s) for 9 millisecond pulsars  North American pulsar timing array (NANOGrav) Data from Arecibo and Green Bank Telescope High-quality data for 17 millisecond pulsars  Parkes Pulsar Timing Array (PPTA) Data from Parkes 64m radio telescope in Australia High-quality data for 20 millisecond pulsars Agreement on combining data sets to form the International Pulsar Timing Array (IPTA)

20 The PPTA Pulsars All (published) MSPs not in globular clusters

21 PPTA Three-band Timing Residuals 50cm 20cm 10cm

22 PPTA Limit for Stochastic GW Background (Shannon et al. 2012) Range of predictions by Sesana et al. (2008) (1 yr) -1 Already rules out models in which super-massive black holes in galaxies grow solely by merger

23 A Pulsar Timescale: TT(PPTA11) Terrestrial time, TT(TAI), defined by a weighted average of cesium clocks at time centres around the world Revisions of TT(TAI) published each year by BIPM: TT(BIPMxx) Any irregularities in the reference timescale used for a PTA will produce identical residual variations in all psrs PPTA extended data set used with TT(TAI) as reference Reproduces known irregularities in TT(TAI) and defines a pulsar timescale TT(PPTA11) (Hobbs et al. 2012) TT(BIPM11) – TT(TAI) First realisation of a pulsar timescale with accuracy comparable to that of international atomic timescales

24 Searching for Pulsars Most pulsars have been found in searches at radio frequencies Pulsars have two main properties that are used to distinguish them from (most) other radio signals: periodicity and dispersion Multi-channel data sampled typically at ~100  s intervals Frequency Time Data summed in frequency with a range of dispersive delays and (sometimes) accelerations and then Fourier transformed Searched in modulation frequency with harmonic summing Candidates plotted and selected for confirmation Observed again at same position to confirm periodicity and dispersion PRESTO Output Page (www.cv.nrao.edu/~sransom/presto/)

25 Parkes Multibeam Pulsar Survey Principal papers: Covers strip along Galactic plane, -100 o < l < 50 o, |b| < 5 o Uses 13-beam 20cm Multibeam receiver on the Parkes 64-m telescope Central frequency 1374 MHz, bandwidth 288 MHz, 96 channels/poln/beam Sampling interval 250  s, time/pointing 35 min, 3080 pointings Survey observations commenced 1997, completed 2003 Processed on work-station clusters at ATNF, JBO and McGill 785 pulsars discovered, 1065 detected At least 18 months of timing data obtained for each pulsar I: Manchester et al., MNRAS, 328, 17 (2001) System and survey description, 100 pulsars II: Morris et al., MNRAS, 335, 275 (2002) 120 pulsars, preliminary population statistics III: Kramer et al., MNRAS, 342, 1299 (2003) 200 pulsars, young pulsars and  -ray sources IV: Hobbs et al., MNRAS, 352, 1439 (2004) 180 pulsars, 281 previously known pulsars V: Faulkner et al., MNRAS, 355, 147 (2004) Reprocessing methods, 17 binary/MSPs VI: Lorimer et al., MNRAS, 372, 777 (2006) 142 pulsars, Galactic population and evolution

26 Other Recent Surveys PALFA Survey (Cordes et al. 2006)  7-beam feed on Arecibo, ~1400 MHz  21 pulsars discovered so far Fermi Radio IDs (Hessels et al. 2011, Kerr et al. 2012)  Various radio telescopes  ~20 discoveries, mostly MSPs Fermi Blind searches (Pletsch et al. 2012)  Search for periodicities in gamma-ray data  33 discoveries, mostly young pulsars HTRU survey (Keith et al. 2010)  Parkes MB receiver with digital backend system  33 pulsars so far

27 Galactic Distribution of Pulsars

28 Prospects for FAST FAST effective diameter ~300 m Telescope Gain ~ 16 K/Jy Maximum zenith angle 40 o – 60 o 0.07 – 3.0 GHz in several bands 19-beam 20cm receiver, T sys ~ 20K Bandwidth ~ 400 MHz For FAST, in 1 min, S rms ~ 7  Jy (for Parkes MB, S rms ~ 260  Jy) For search detection need  t ~ 8; for most timing  t ~10, for PTAs > 100 Limiting flux density for detection:  t is S/N threshold w is pulse duty cycle

29 Pulsar Surveys with FAST FAST zenith angle limit initially 40 o Can see Galactic plane from l ~ 20 o to l ~ 230 o Use 19-beam 20cm receiver, HPBW ~3.4 arc min With t obs = 600 s, S min ~ 17  Jy (PMPS: S min ~200  Jy) Tessellate sky with sets of four pointings covering ~0.25 sq deg Can mesh sets to cover whole sky

30 Simulation of FAST Pulsar Surveys (Smits et al. 2009)

31 FAST “All-sky” Pulsar Survey (ZA < 40 o ) 4500 “normal” pulsars detected (incl. ~1000 known) 500 MSPs detected (incl. ~120 known) Total time for survey ~300 8-hour days

32 Pulsar Timing with FAST Need wide bandwidth single-beam receiver, e.g., 0.5 – 3 GHz system similar to MPI/CASS receiver  Too few pulsars to use MB receiver  Need wide b/w for sensitivity and dispersion correction For “normal” pulsars, need 1 – 2 min per pulsar – slew rate important! For PTA timing, need 10 – 30 min per pulsar Huge benefit to PTA studies from larger sample of pulsars

33 Sensitivity of a PTA to a Stochastic Gravitational-wave Background Black: 20 psrs Red: 50 psrs Blue: 200 psrs Plain line: 5 yrs Line with ×: 10 yrs Line with o : 20 yrs (Manchester et al. 2012) (Sesana prediction) With 200 pulsars can study GW background in detail! With FAST discoveries, expect ~200 MSPs with S1400 >0.3 mJy

34 (Cordes & Shannon 2010) Effect of Pulse Jitter When S/N of an individual pulse is ~1, ToA precision is limited by pulse-to-pulse fluctuations For FAST this will occur for normal pulsars with S1400 > 0.1 mJy and MSPs with S1400 > 1 mJy Timing of strong pulsars best done on a smaller telescope!

35 Summary Pulsars are an incredibly interesting phenomenon FAST will be an extremely powerful telescope for pulsar studies FAST will have same effective area as the central 1 km of SKA and the huge advantage of a filled aperture Pulsar searches will discover ~3000 normal pulsars and ~350 MSPs FAST can time ~700 normal pulsars/day and ~100 pulsars/day to PTA precision

36 谢 谢谢 谢 Thank you!

37  Clock errors All pulsars have the same TOA variations: monopole signature  Solar-System ephemeris errors Dipole signature  Gravitational waves Quadrupole signature Can separate these effects provided there is a sufficient number of widely distributed pulsars

38 The Parkes Pulsar Timing Array Collaboration  CSIRO Astronomy and Space Science, Sydney Dick Manchester, George Hobbs, Ryan Shannon, Mike Keith, Sarah Burke-Spolaor, Aidan Hotan, John Sarkissian, John Reynolds, Mike Kesteven, Warwick Wilson, Grant Hampson, Andrew Brown, Ankur Chaudhary, (Russell Edwards), (Jonathan Khoo), (Daniel Yardley)  Swinburne University of Technology, Melbourne Matthew Bailes, Willem van Straten, Stefan Oslowski, Andrew Jameson, (Ramesh Bhat), (Jonathon Kocz)  Monash University, Melbourne Yuri Levin  University of Melbourne Vikram Ravi (Stuart Wyithe)  University of California, San Diego Bill Coles  University of Texas, Brownsville (Rick Jenet)  MPIfR, Bonn (David Champion), (Joris Verbiest), (KJ Lee)  Southwest University, Chongqing Xiaopeng You  Xinjiang Astronomical Observatory, Urumqi (Wenming Yan), Jingbo Wang  National Space Science Center, Beijing Xinping Deng

39 DM Variations

40 Extended PPTA Data Sets Parkes data from Swinburne timing program for 1994 – 2006 (Verbiest et al. 2008, 2009) added to PPTA three-band data sets Extended data sets cover up to 17 years Most instrumental offsets measured from overlapping data and fixed DM offsets included and held fixed Fit with Cholesky algorithm to pulsar parameters and remaining instrumental offsets Fit to just F0, F1 for best-band data; all other parameters fixed

41 Current Limits on GW Background EPTA: 7 MSPs, 10 yrs, A < 6 x 10 -15 (van Haasteren et al. 2011) NANOGrav: 17 MSPs, 5.5 yrs, A < 7.2 x 10 -15 (Demorest et al 2012) PPTA: 19 MSPs, up to 17 yrs, A < 2.4 x 10 -15 (Shannon et al 2012) Characteristic strain spectrum: For a stochastic background from binary SMBBH,  = -2/3 New method, better data sets

42 Likely that many SMBH binary systems are highly eccentric GW spectrum may be dominated by a strong individual source Single Sources First GW detection by PTAs could be a single source with period <~ 1 year! (Sesana 2012)

43 The International Pulsar Timing Array The IPTA is a consortium of consortia, namely existing PTAs from around the world Currently three members: EPTA, NANOGrav and PPTA The aims of the IPTA are to facilitate collaboration between participating PTA groups and to promote progress toward PTA scientific goals There is a Steering Committee which sets policy guidelines for data sharing, publication of results etc. The IPTA organises annual Student Workshops and Science Meetings – 2013 meetings will be in Krabi, Thailand, June 17-28 The IPTA would welcome approaches from new timing consortia See: www.ipta4gw.org

44 Detection of Gravitational Waves Prediction of general relativity and other theories of gravity Generated by acceleration of massive object(s) (K. Thorne, T. Carnahan, LISA Gallery) Astrophysical sources:  Inflation era fluctuations  Cosmic strings  BH formation in early Universe  Binary black holes in galaxies  Coalescing neutron-star binaries  Compact X-ray binaries

45 The PPTA Project Using the Parkes 64-m radio telescope in three bands, 50cm (700 MHz), 20cm (1400 MHz) and 10cm (3100 MHz) to observe 21 MSPs Observations at 2 - 3 week intervals Regular good-quality observations since 2005 March Digital filterbanks and baseband recording systems used Database and processing pipeline – PSRCHIVE and TEMPO2 Studying limit and detection algorithms for different types of GW sources Simulating GW signals and studying implications for galaxy evolution models Establishing a pulsar-based timescale and investigating Solar system properties Using PPTA data sets to investigate individual pulsar properties, e.g., pulse polarisation, binary evolution, astrometry etc. Website: www.atnf.csiro.au/research/pulsar/ppta

46 PPTA “Best” Data Sets 6-year data span Lowest rms residuals for: J0437-4715 – 75 ns J1909-3744 – 133 ns (both at 10cm) Significant “red” noise “White” rms residuals: J0437-4715 – 46 ns J1909-3744 – 61 ns

47 The Second Molonglo Survey 1978 155 pulsars: more than doubled the number known

48 Parkes 70cm southern survey 1991-1996 101 pulsars 17 MSPs

49 Nobel Prize for Hulse and Taylor in 1993! Tests of Gravitational Theories PSR B1913+16, discovered at Arecibo by Russell Hulse & Joe Taylor in 1975 First-known binary pulsar, orb. period 7.75 h Double-neutron-star system – relativistic orbit perturbations detectable  First accurate measurement of n-star mass  First observational evidence for gravitational waves  Confirmation of general relativity as an accurate theory of gravity (Weiserg & Taylor 2005)

50 PSR J0737-3039A/B Post-Keplerian Effects R: Mass ratio  : periastron advance  : gravitational redshift r & s: Shapiro delay P b : orbit decay (Kramer et al. 2006).. Six measured parameters Four independent tests Fully consistent with general relativity (0.05%)

51 DM Variations and Correction DM offsets solved for along with pulsar parameters and frequency-independent (“common-mode”) signal using Cholesky algorithm in Tempo2 on PPTA three-band data sets DM offsets measured at intervals through data sets with linear interpolation between values Interval size taken to be inverse of modulation frequency where red (DM) signal is same power as white noise Mean DM offset constrained to be zero Effectiveness of algorithm tested using simulations (Keith et al. 2012)

52 MEERKAT – SKA 1 (Sth Africa) New Instruments 250 x 15m dishes, single pixel feeds 3 bands: 0.5 – 3.0 GHz Collecting area ~ Arecibo Complete ~2019 Good for pulsar timing ASKAP – SKA 1 (Australia) 100 x 15m dishes, PAFs – 100 beams over 30 sq. degrees 0.7 – 1.7 GHz ~50% area within 1 km core Good for searches and timing of “normal” pulsars

53 More Distant Future Square Kilometer Array – Phase 2 Mid-frequency array in South Africa 3000 x 15m dishes Area ~5 x FAST But ~20% within 1 km With PAFs – fantastic survey instrument, speed ~25 x FAST But computing requirements horrendous: 100’s GB/s, 100 TB RAM Can’t store raw data: ~10 petaflop computing to process in real time Complete 2023+ Could discover 20,000 pulsars, 5000 MSPs (J Cordes)

54 The Gravitational Wave Spectrum


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