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RFI Flagging in the LOFAR Imaging Pipeline

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RFI Flagging in the LOFAR Imaging Pipeline David Rafferty and the Flagging Team Some Typical RFI LBA data (SB64 of L2009_14319): No flagging or squashing HBA data ... – PowerPoint PPT presentation

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Title: RFI Flagging in the LOFAR Imaging Pipeline


1
RFI Flagging in the LOFAR Imaging Pipeline
David Rafferty and the Flagging Team
2
Some Typical RFI
LBA data (SB64 of L2009_14319) No flagging or
squashing
HBA data (SB48 of L2009_16167) No flagging or
squashing
3
Current Flagging Scheme
  • To date, best results achieved using the MAD
    (Median Absolute Deviation) Flagger
  • First, run on unsquashed data with a medium
    frequency window and small time window
  • Next, run repeatedly on squashed data with a wide
    time window to catch broad-band RFI
  • Runs in ½ real time for 20-station data (e.g.,
    1 hour for a 2-hour dataset)

4
LBA Data after MADFlagger
SB57 of L2009_14319
SB72 of L2009_14319
5
HBA Data after MADFlagger
SB38 of L2009_16167
6
NDPPP
  • New version of DPPP by Ger van Diepen
  • Many improvements and new features, but those
    most relevant to RFI flagging include
  • Significantly faster than IDPPP
  • Ability to flag on any combination of
    polarizations
  • New PreFlagger allows flagging of individual
    channels, baselines, etc.
  • Many more flagging strategies are now practical

7
Example NDPPP Run
  • 2 passes on unsquashed data using XX and YY only
  • Freq. window 101 channels, time window 1
  • Freq. window 1, time window 101 time slots
  • 1 pass on squashed data using all polarizations
    with wide time window
  • Runs in ¼ real time for 20-station data (e.g.,
    30 min on a 2-hour dataset), IDPPP requires gt
    real time

8
Example NDPPP Run on HBA Data
SB50 of L2009_16167
9
Example NDPPP Run on HBA Data
SB50 of L2009_16167
10
Flagger of André Offringa
  • Not yet part of DPPP
  • Run with command rficonsole ltinput.msgt
  • Best strategy appears to work very well
  • Runs at 1/2 real time for 20-station data
  • Has two main advantages over the MADFlagger
  • Uses a more sophisticated fit to visibilities
  • Flags neighboring point that dont meet flagging
    criteria on their own but do when summed

11
Summary
  • NDPPP allows for many more practical flagging
    schemes these need testing
  • Need strategy to deal with broad-band,
    long-duration RFI (i.e., wider than half the
    flagging window)
  • Need a thorough characterization of the typical
    RFI seen in LBA and HBA
  • Further extend DPPP flagging capabilities
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