Credit: Me :D

A new radar meteor head echo analysis algorithm

application on MU-radar high altitude meteor detections


Daniel Kastinen & Johan Kero

Credit: Me :D

Radar meteor head echoes

Motivation

    Example scenario

    History model

  • Analyse radar data
  • Meteoroid parameters and orbit
  • Propagate orbit distribution backwards in time
  • Associate to a parent body

    • Stream model

  • Model meteoroid stream
  • Propagate stream in time
  • Predict/model detections
  • Compare to measurements

Motivation

    Reliably investigate

  • Individual events
  • Anomalous events
  • Rare sub-populations

TODO-list

    Main tasks

  • Data → Model fits with realistic uncertainties
    (probability)
    +calibration
    +validation
    +simulation
  • ...

Radar system

Applied the new analysis on

Shigaraki Middle and Upper Atmosphere (MU) radar, Japan

Design

pipeline

Design

model parameter estimation

Bayes' theorem

$$ P(\text{model} | \text{data}) = \frac{P(\text{data} | \text{model}) P(\text{model})}{P(\text{data})} $$

Design

pipeline

(Kastinen, D., Kero, J., 2022a.)

Some other upgrades:

  • Model matching levels (DOA & decoding)
  • Automatic calibration
  • Plug & play meteor models
  • Improved signal processing
  • Improved orbit determination
  • Improved antenna radiation models
  • Modern software design
  • ...

Results

new analysis

Results

new analysis

Kastinen, D., Kero, J., 2022a.

Results

new analysis

Credit: Wikimedia Commons (Seahen)

Results

new analysis

Credit: Wikimedia Commons (Lasunncty)

Results

high-altitude detections

Results

high-altitude detections

516 out of 106,000 events

Results

high-altitude detections

(Kastinen, D., Kero, J., 2022b.)

Results

high-altitude detections

(Kastinen, D., Kero, J., 2022b.)

Results

high-altitude detections

(Kastinen, D., Kero, J., 2022b.)

  • 305 / 106,000 events
    (~0.3%)
  • 74 > 130 km
  • 4 > 145 km

Results

high-altitude detections

group-D (soft cometary material): $k_b$ < 6.6

Results

high-altitude detections

"manual correction"

Software

@ github.com/danielk333
metecho Meteor head echo analysis [transferring]
htpl Radar hard target processing lib [refactoring]
pyorb Kepler to cartesian elementson PyPI
pyant Radar antenna radiation patternson PyPI
ablate Ablation model interfaces [ongoing]
pyod Orbit determination interfaces [ongoing]
dasst Meteoroid stream simulations [Only prototype]

TODO
Include/develop sw for infrasound data, optical data, more radars ...

Thank you for your attention

Future work

EISCAT 3D

Photo: EISCAT

Future work

EISCAT 3D

Photo: EISCAT