Pulsar Timing Challenges

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    P. Demorest Amaldi 8, June 2009 1

    Key Challenges and Advances for Pulsar

    Timing

    Paul Demorest, NRAO

    June 25, 2009

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    Pulsar Timing Challenges

    P. Demorest Amaldi 8, June 2009 2

    Context: Rough GW detection requirement is 2040 MSPs timingat 100 ns precision. Current PTA projects have 3 pulsars at100 ns, 1020 at 1 s. What challenges do we face in achieving

    this order of magnitude improvement in timing results?

    Talk outline:

    Pulsar Timing Overview

    Timing Signal-to-Noise Ratio

    Systematic Effects

    Future Prospects

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    Pulsars

    P. Demorest Amaldi 8, June 2009 3

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    Radio Telescopes

    P. Demorest Amaldi 8, June 2009 4

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    Observations

    P. Demorest Amaldi 8, June 2009 5

    Basic observing process:

    q Incoming radio wave is amplified then digitized

    q . . . split into many frequency channels

    q . . . coherently dispersion-correctedq . . . folded modulo pulsar spin period

    Resulting in pulse profiles/lightcurves (flux vs spin phase):

    -0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

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    Raw Timing Data

    P. Demorest Amaldi 8, June 2009 6

    Each observation is a cube containing radio flux as a fn of time(min), radio freq (MHz), and spin phase (103 turns).

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    Measuring Times of Arrival

    P. Demorest Amaldi 8, June 2009 7

    Combine data profiles:

    -0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    with high-SNR templates:

    -5

    0

    5

    10

    15

    20

    25

    30

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    to get the shift between the two, or time of arrival (TOA).

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    Timing Model Fits

    P. Demorest Amaldi 8, June 2009 8

    TOAs are then fit to a timing model including spin, astrometric,binary, etc parameters:

    -100

    -50

    0

    50

    100

    150

    200

    2004.5 2005 2005.5 2006 2006.5 2007 2007.5 2008 2008.5

    Residual(us)

    Year

    -150

    -100

    -50

    0

    50

    100

    150

    200

    2004.5 2005 2005.5 2006 2006.5 2007 2007.5 2008 2008.5

    Residual(us)

    Year

    -10-8

    -6

    -4

    -2

    0

    2

    4

    6

    2004.5 2005 2005.5 2006 2006.5 2007 2007.5 2008 2008.5

    Residual(us)

    Year

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    TOA uncertainty

    P. Demorest Amaldi 8, June 2009 9

    Basic time-of-arrival uncertainty calculation depends on pulseprofile SNR:

    t

    W

    SNR=WSpsr

    1B

    Aeff

    kTsys

    q Intrinsic to each pulsar:

    3 W Pulse sharpness (

    width)

    3 Spsr Pulsar radio flux

    q Instrumental parameters:

    3 B Radio bandwidth

    3 Total observation time

    3 Aeff Effective telescope area

    3 Tsys Receiver system temperature

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    Improving timing uncertainties

    P. Demorest Amaldi 8, June 2009 10

    Timing of most MSPs is SNR-limited. How can we improve things?

    q Intrinsic pulsar factors Find more/better pulsars! One of the

    current best timers (J19093744) was only discovered in 2003.

    q Instrumental improvements

    3 GW timing programs currently occupy 5% of largeradio telescopes time.

    3 B Current-gen backends 50100 MHz, next-gen1 GHz, next-next-gen 1-3 GHz.

    3Aeff Build new/larger telescopes

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    Systematic Timing Effects

    P. Demorest Amaldi 8, June 2009 11

    Any process that shifts or distorts the pulse shape:

    q Local

    3 Polarimetry and calibration

    3 Manmade radio-frequency interference3 Instrumental artifacts (quantization, etc)

    q Interstellar medium

    3 Dispersion measure variation with time

    3 Multipath propagation effects (scattering/scintillation)

    q Intrinsic to pulsar

    3 Intrinsic pulse shape variations

    3 Single-pulse jitter

    3 Timing noise

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    Interstellar medium

    P. Demorest Amaldi 8, June 2009 12

    Ionized interstellar gas affects radio wave via plasma dispersion

    relation.

    These effects are strong functions of RF, whereas GW effect is

    achromatic.

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    Dispersion variation

    P. Demorest Amaldi 8, June 2009 13

    Total electron column density varies due to motions of Earth, PSR,and ISM:

    (PSR B1937+21; Ramachandran et al. 2006)

    Can be measured/removed with timing measurements at widely

    separated RFs.

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    Scattering/Scintillation

    P. Demorest Amaldi 8, June 2009 14

    Electron density variation transverse to the line-of-sight causesconstructive/destructive interference:

    (Walker et al. 2008)

    Typical scales kHzMHz,T sechours. Determinedby LOS/ISM velocity and ISM

    length scales.

    Effectively a (time-varying) filter on the signal. This affects profile

    shapes!

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    ISM corrections

    P. Demorest Amaldi 8, June 2009 15

    How to deal with this?

    q ISM effects decrease at higher RF:

    3 dispersion2

    3 scattering 43 BUT Spsr 1.8

    q

    Current standard approach: optimize set of observing freqs. tobalance these effects.

    q More advanced approaches currently under development will

    measure scintillation patterns and correct TOAs.3 New wideband backends will help this effort.

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    Historical improvement

    P. Demorest Amaldi 8, June 2009 16

    Pulsar timing Moores Law:

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    Current and Future Work

    P. Demorest Amaldi 8, June 2009 17

    q Ongoing pulsar searches at Parkes, Arecibo (PALFA), GBT, . . .

    q Backend instrumentation: Next-gen backends currently being

    tested include GUPPI (NRAO), DFB3 (ATNF), APSR

    (Swinburne). These are approaching receiver-limited BW.

    q Current data analysis efforts focus on polarization/calibration

    and ISM issues.

    q New telescopes: EVLA, ATA, FAST, MeerKAT, ASKAP. . . (and

    eventually SKA)