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LOFAR Image Plane Transient Candidate #3

transientskp
January 08, 2014

LOFAR Image Plane Transient Candidate #3

Adam Stewart

transientskp

January 08, 2014
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  1. Image Plane
    Transient Candidate #3
    Found in the NCP Field by the TraP
    Adam Stewart, Tom Hassall, Rob Fender,
    Jess Broderick, Gosia Pietka
    LOFAR TKP Meeting - Amsterdam - 8-10 January 2014

    View Slide

  2. Brief Reminder of NCP Data
    • Recorded simultaneously, using a
    single sub band, with the initial
    MSSS-LBA observing run in
    2011-2012
    • Each observation:
    • Is 11 minutes long
    • At 60 MHz
    • 200 kHz of bandwidth
    • When in sequence
    observations are 4 minutes
    apart.
    • 175 deg2 searchable area.
    • MSSS calibrator is used to process
    the data. msss.astron.nl

    View Slide

  3. NCP Transient Simulations

    View Slide

  4. Transient Simulations
    • Wanted to test how the NCP field would react to a
    transient.
    • As we know, LOFAR reduction is quite dependent on
    the sky model used.
    • Nevertheless I wanted to confirm that a bright
    transient, not in the model, would appear or at least
    leave hints.
    • Eg. removing 3C 61.1 from the sky model, while
    causing bad artifacts, still leaves the source visible.

    View Slide

  5. Transient Simulations
    • Wanted to test how the NCP field would react to a
    transient.
    • As we know, LOFAR reduction is quite dependent on
    the sky model used.
    • Nevertheless I wanted to confirm that a bright
    transient, not in the model, would appear or at least
    leave hints.
    • Eg. removing 3C 61.1 from the sky model, while
    causing bad artifacts, still leaves the source visible.

    View Slide

  6. Transient Simulations
    • Wanted to test how the NCP field would react to a
    transient.
    • As we know, LOFAR reduction is quite dependent on
    the sky model used.
    • Nevertheless I wanted to confirm that a bright
    transient, not in the model, would appear or at least
    leave hints.
    • Eg. removing 3C 61.1 from the sky model, while
    causing bad artifacts, still leaves the source visible.
    3C 61.1 removed from model

    View Slide

  7. Transient Simulations
    • Wanted to test how the NCP field would react to a
    transient.
    • As we know, LOFAR reduction is quite dependent on
    the sky model used.
    • Nevertheless I wanted to confirm that a bright
    transient, not in the model, would appear or at least
    leave hints.
    • Eg. removing 3C 61.1 from the sky model, while
    causing bad artifacts, still leaves the source visible.
    3C 61.1 removed from model

    View Slide

  8. Inserting a Transient
    • Aim was to test whether a transient would be seen with the
    reduction method.
    • Any brightness of transient.
    • Transient inserted into pre-processed data before being
    reduced through MSSS pipeline.
    • Using calibrator gain solutions to insert - ideally want field
    phase solutions but proved difficult to merge and use table.
    Calibrate
    calibrator
    Transfer
    calibrator gain
    solutions to
    NCP
    Phase-only
    calibration using
    VLSS based
    model
    Image using
    AWimager
    Assuming transient survives
    demixing, flagging etc

    View Slide

  9. Inserting a Transient
    • Aim was to test whether a transient would be seen with the
    reduction method.
    • Any brightness of transient.
    • Transient inserted into pre-processed data before being
    reduced through MSSS pipeline.
    • Using calibrator gain solutions to insert - ideally want field
    phase solutions but proved difficult to merge and use table.
    Calibrate
    calibrator
    Transfer
    calibrator gain
    solutions to
    NCP
    Phase-only
    calibration using
    VLSS based
    model
    Image using
    AWimager
    Pre-processed
    Data
    Solutions
    +
    Transient
    BBS
    Assuming transient survives
    demixing, flagging etc

    View Slide

  10. Inserting a Transient
    15 Jy 30 Jy
    It’s clear that at least something odd is in the dataset, and becomes
    clearer when brighter.

    View Slide

  11. Inserting a Transient
    15 Jy 30 Jy
    It’s clear that at least something odd is in the dataset, and becomes
    clearer when brighter.

    View Slide

  12. Works Very Nicely in RSM
    10 Jy transient source

    View Slide

  13. Works Very Nicely in RSM
    10 Jy transient source

    View Slide

  14. Inserting a Very Bright Transient
    150 Jy
    •Flux starts to
    be absorbed
    by 3C 61
    •Now ~170 Jy
    •Image is poor
    with other
    sources
    missing.

    View Slide

  15. Ghosts... • A mirrored
    source appears
    when the
    transient was
    bright 50 - 80 Jy
    • Opposite 3C 61.1
    - the brightest
    source in the
    field.
    • Ghost is brighter,
    roughly 60 - 20 Jy
    (in 80 Jy case)
    • Reminded me of
    something

    View Slide

  16. Ghosts... • A mirrored
    source appears
    when the
    transient was
    bright 50 - 80 Jy
    • Opposite 3C 61.1
    - the brightest
    source in the
    field.
    • Ghost is brighter,
    roughly 60 - 20 Jy
    (in 80 Jy case)
    • Reminded me of
    something

    View Slide

  17. View Slide

  18. Placing Transient in the Model
    At Ghost Location At True Location
    Ghost disappears when the true source is in the sky model

    View Slide

  19. Placing Transient in the Model
    At Ghost Location At True Location
    Ghost disappears when the true source is in the sky model

    View Slide

  20. Ghosts Not Limited to One
    Location
    • At first we were
    worried that there
    was a special distance
    such as Bell #1 that
    would scale with
    frequency.
    • Sampling the whole
    field reveals ghosts can
    be created in various
    locations.
    • In the NCP cases
    tested it seems to be
    concentrated to the
    right-hand side of 3C
    61.1

    View Slide

  21. Ghosts Not Limited to One
    Location
    • At first we were
    worried that there
    was a special distance
    such as Bell #1 that
    would scale with
    frequency.
    • Sampling the whole
    field reveals ghosts can
    be created in various
    locations.
    • In the NCP cases
    tested it seems to be
    concentrated to the
    right-hand side of 3C
    61.1

    View Slide

  22. Ghosts Not Limited to One
    Location
    • At first we were
    worried that there
    was a special distance
    such as Bell #1 that
    would scale with
    frequency.
    • Sampling the whole
    field reveals ghosts can
    be created in various
    locations.
    • In the NCP cases
    tested it seems to be
    concentrated to the
    right-hand side of 3C
    61.1

    View Slide

  23. The Transient

    View Slide

  24. • An object only seen once and never again.
    • Snapshot taken on December 24th 2011 at
    04:33.
    TraP Discovered a Similar Event

    View Slide

  25. TraP Discovered a Similar Event

    View Slide

  26. TraP Discovered a Similar Event

    View Slide

  27. TraP Discovered a Similar Event

    View Slide

  28. TraP Discovered a Similar Event

    View Slide

  29. TraP Discovered a Similar Event
    TraP
    extracted
    this source

    View Slide

  30. TraP Discovered a Similar Event
    7 Jy
    Source?
    Ghost?
    13 Jy

    View Slide

  31. Can the Ghost be ?
    • With what was seen in the simulations the next step was to
    process the data again with suspected sources in the sky
    model.
    • Try a 20 Jy (13+7) point source at each location one at a time.
    7 Jy
    Source
    Ghost?
    13 Jy

    View Slide

  32. Transient in the Model
    20 Jy at ghost Location
    Both sources still visible
    20 Jy at Right/Source
    Location
    Ghost Source
    disappears!
    We came, we saw...

    View Slide

  33. Transient in Other Surrounding
    Snapshots Model
    • Process the surrounding 4 observations with the
    transient in the sky model.
    • The source appears strongly only in the original
    snapshot where it was discovered.

    View Slide

  34. Attempts to Kill the Transient
    • Tried numerous methods to remove or at least
    greatly effect the transient.
    Subtract 3C 61.1
    Different weighting scheme (here natural)
    • Also tried imaging using different
    baseline selections.
    • Different time compression
    before processing.
    • Checked other observations at
    the same LST - no hint of source.
    • It survived all these tests where
    somewhat similar candidates
    failed.
    • Though this is the only candidate
    which has a clear ghost source.

    View Slide

  35. There are similar objects found...
    • 8 more to be precise at similar fluxes of the initial source found 4 - 8 Jy
    1 Jan 2012 2 Jan 2012 21 Jan 2012
    11 Feb 2012
    11 Feb 2012 10 Mar 2012 31 Mar 2012

    View Slide

  36. There are similar objects found...
    • 8 more to be precise at similar fluxes of the initial source found 4 - 8 Jy
    1 Jan 2012 2 Jan 2012 21 Jan 2012
    11 Feb 2012
    11 Feb 2012 10 Mar 2012 31 Mar 2012
    Need Testing!
    NCP Deep Image can also help

    View Slide

  37. There are similar objects found...
    • 8 more to be precise at similar fluxes of the initial source found 4 - 8 Jy
    1 Jan 2012 2 Jan 2012 21 Jan 2012
    11 Feb 2012
    11 Feb 2012 10 Mar 2012 31 Mar 2012
    Need Testing!
    NCP Deep Image can also help

    View Slide

  38. If real - what do we know?
    • Duration of 11 mins.
    - When dataset split in half or
    thirds, the source is still
    present in each half/third.
    - Flux also relatively constant.
    - Processing effect? To test... Transient set split in half (in model)
    • Also not present in snapshots before or after. Combing next two also nothing.
    • Bright at ~ 25 +/- 5 Jy
    • Would suggest a rate of 1 / 2537 day-1 deg-2 with ∆t = 11 mins, 4 Jy limit (10σ
    TraP selection)
    • Not in EoR deep NCP map.
    • Localisation to ~120” (10 km baselines)
    - Will take a bit of care to incorporate longer baselines

    View Slide

  39. Optical Follow Up
    • r-band, slightly deeper than 21 magnitude.
    • With current localisation many sources are seen in the error box.
    • None show obvious variability on the timescales of minutes and one month.
    • Ongoing.
    Teo Muñoz-Darias

    View Slide

  40. What can we infer? (Reminder First)
    • Prospects of finding FRBs in image plane data detailed by
    Hassall, Keane & Fender 2013:
    How scattering effects the
    pulse
    Image plane can outperform beamformed in high scattering
    scenarios
    Low scattering the Beamformed > image plane
    FRBs/hour
    LBA

    View Slide

  41. • With 200 kHz of bandwidth - 11 minutes is due to
    scattering or intrinsic pulse width.
    - Because a DM of 6000 (very high! z~6) would mean a
    dispersive delay of 45s between 60 - 60.2 MHz.
    - Hence much more likely to be scattering or pulse width.
    What can we infer?
    T.Hassall

    View Slide

  42. • With 200 kHz of bandwidth - 11 minutes is due to
    scattering or intrinsic pulse width.
    - Because a DM of 6000 (very high! z~6) would mean a
    dispersive delay of 45s between 60 - 60.2 MHz.
    - Hence much more likely to be scattering or pulse width.
    • So lets take the upper bound flux of the first split 5 min
    image, 30 Jy, and the lower flux of the second 5 minute
    image, 20 Jy, and calculate the minimum DM.
    What can we infer?
    T.Hassall

    View Slide

  43. • With 200 kHz of bandwidth - 11 minutes is due to
    scattering or intrinsic pulse width.
    - Because a DM of 6000 (very high! z~6) would mean a
    dispersive delay of 45s between 60 - 60.2 MHz.
    - Hence much more likely to be scattering or pulse width.
    • So lets take the upper bound flux of the first split 5 min
    image, 30 Jy, and the lower flux of the second 5 minute
    image, 20 Jy, and calculate the minimum DM.
    • Using S = e(-t/tscatt) and the Bhat et al law:
    - t_scatt ~ 1600 hence a DM ~ 450
    - Reasonable value if considering DMs of FRBs, which
    could last minutes at low frequencies.
    What can we infer?
    T.Hassall

    View Slide

  44. • Can attempt to say something about spectral
    index:
    - Take FRBs at 1.4 GHz, the NCP will be brighter
    by (1.4 / 0.06)α
    - FRB 10 Jy x 5 ms = 0.01 Jy/s
    - NCP 25 Jy x 660s = 13200 Jy/s - a 106 ratio
    - But could have a spectral broadening term, β
    - (1.4 / 0.06)α+β ~ 10-6
    - Hence, α+β = -4 which is steep, but we should
    keep β in mind.
    What can we infer?
    T.Hassall

    View Slide

  45. Conclusions
    • Altering the model makes a
    definite impact to the data,
    removing the friend.
    • I cannot just create a source by
    inserting it into the sky model.
    • Doesn’t appear in other
    snapshots even when
    processing with it in model.
    • Follows transient simulation
    results.
    • Survives various tests thrown at
    it, when I have seen others not.
    For Against
    • Only seen in one snapshot.
    • If exponential decay then should be
    around ~10 Jy in next snapshot,
    cannot see anything.
    • No variation when splitting the
    dataset to image.
    • General uncertainty surrounding
    this LBA MSSS data - the data as a
    whole was never fully used for
    quality issues.
    • Do we understand artefacts in
    these short, limited UV coverage
    snapshots?
    A 25 Jy Transient at 60 MHz, ‘on’ for 11
    minutes or less - Is it real?

    View Slide

  46. Conclusions
    • Lack of other data (more bw) is a blessing and a curse.
    • Perhaps will never be 100% sure because of this, but we
    have to take what we see.
    • Bell #1 situation of not being sure
    - Sky model tests on this data do not effect the transient.
    • Other candidates to check, may help in ways to prove/
    disprove.
    • But this transient is tough to kill, it is yet to ever disappear.
    • RSM should be able to provide some answers...

    View Slide

  47. Finally thanks to...
    • The TraP team of John, Antonia, Gijs, Bart and Tim et al
    • Previously data had been combined to gather decent
    images for humans to work with.
    • The TraP in it’s current state made searching these
    images possible.

    View Slide

  48. DM Calculation
    • The flux of the pulse as a function of time is:
    • S = exp(-t/t_scatt)
    • so 30/20 = exp(-660/t_scatt)
    • t_scatt = -660/ln(20/30) ~ 1600
    • This corresponds to a DM~450 from the Bhat
    et al. law. Current DMs of FRBs are in the
    range 550-1100, so this seems very
    reasonable.

    View Slide

  49. PSF Example

    View Slide

  50. UV Coverage Example
    For transient observation on 24th Dec

    View Slide