Volume 592, August 2016
|Number of page(s)||12|
|Section||Planets and planetary systems|
|Published online||22 August 2016|
A reproducible method to determine the meteoroid mass index⋆
1 Department of Physics and
AstronomyUniversity of Western Ontario, London, ON, N6A
2 Centre for Planetary Science and Exploration, University of Western Ontario, London, ON N6A 3K7 Ontario, Canada
Accepted: 18 April 2016
Context. The determination of meteoroid mass indices is central to flux measurements and evolutionary studies of meteoroid populations. However, different authors use different approaches to fit observed data, making results difficult to reproduce and the resulting uncertainties difficult to justify. The real, physical, uncertainties are usually an order of magnitude higher than the reported values.
Aims. We aim to develop a fully automated method that will measure meteoroid mass indices and associated uncertainty. We validate our method on large radar and optical datasets and compare results to obtain a best estimate of the true meteoroid mass index.
Methods. Using MultiNest, a Bayesian inference tool that calculates the evidence and explores the parameter space, we search for the best fit of cumulative number vs. mass distributions in a four-dimensional space of variables (a,b,X1,X2). We explore biases in meteor echo distributions using optical meteor data as a calibration dataset to establish the systematic offset in measured mass index values.
Results. Our best estimate for the average de-biased mass index for the sporadic meteoroid complex, as measured by radar appropriate to the mass range 10-3 > m > 10-5 g, was s = −2.10 ± 0.08. Optical data in the 10-1 > m > 10-3 g range, with the shower meteors removed, produced s = −2.08 ± 0.08. We find the mass index used by Grün et al. (1985) is substantially larger than we measure in the 10-4 < m < 10-1 g range.
Key words: meteorites, meteors, meteoroids
Our own code with a simple manual and a sample dataset can be found here: ftp://aquarid.physics.uwo.ca/pub/peter/MassIndexCode/
© ESO, 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.