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25m Dwingeloo Radio Telescope (DRT) real time Fast Radio Burst (FRB) Detection Pipeline

Suggestions For Future Work:

  • Have the camras mastodon bot post "good" candidates from fetch
    • Send as an email to Max, and Tammo, others as well
  • Add a poster outside of the Camras Telescope to include its FRB research (With a QR code to an engaging video!)
  • Try 3d DBscan clustering, taking into account the brightness of the detection (right now its time, and DM)
    • Probably not a substaintial improvement
  • Try out Transientx over PRESTO for the pipeline for speed
  • Have Desktop application to click to start program on Mercurius for ease of use
  • Auto stop when storage has less then 20Gb left
  • update FRB.cat file to be in .key format
  • Write a comprehensive observation log, including durations, headers, and clustering info
  • When there is a 'hyper-active' FRB, have a camras team try to take many hours of data - I will commute from Amsterdam for this.
    • Maybe make a post asking for extra volunteers
  • Inject Simulations into .fil files to test how many FRBs the pipeline recovers
  • Concern that bright FRB's might be marked as RFI, see unexpectedly low Crab pulses in the bottom right of this plot

Installation:

In order to use this, you will need to have installed Fetch, and Presto. Our version of presto uses a modified for ddplan.py to supress plotting.

Authors:

Contributing:

Contributions are always welcome!

Reach out to @dijkema

Suggestions for Future Improvement:

Feedback:

If you have any feedback, please reach out to us.

Acknowledgements:

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