activity
20172021
most citedFollow up of GW170817 and its electromagnetic counterpart by Australian-led observing programs

212 citations · 302 across the 8 of their papers we have counts for

collaborators
Showing astro-ph.EPShow all

18 papers · 1 filter

astro-ph.EP2021

Taurid stream #628: a reservoir of large cometary impactors

Hadrien A. R. Devillepoix, Peter Jenniskens, Philip A. Bland +9

The Desert Fireball Network observed a significant outburst of fireballs belonging to the Southern Taurid Complex of meteor showers between October 27 and November 17, 2015. At the…

astro-ph.EP2021

Darkflight estimates of meteorite fall positions: issues and a case study using the Murrili meteorite fall

M. C. Towner, T. Jansen-Sturgeon, M. Cupak +7

Fireball networks are used to recover meteorites, with the context of orbits. Observations from these networks cover the bright flight, where the meteoroid is luminescent, but to r…

astro-ph.EP202112 cited

The Proposed Silicate-Sulfuric Acid Process: Mineral Processing for In Situ Resource Utilization (ISRU)

Seamus Anderson, Eleanor Sansom, Patrick Shober +3

Volatile elements and compounds found in extra-terrestrial environments are often the target of In Situ Resource Utilization (ISRU) studies. Although water and hydroxide are most c…

astro-ph.EP202113 cited

The main asteroid belt: the primary source of debris on comet-like orbits

Patrick M. Shober, Eleanor K. Sansom, Phil A. Bland +6

Jupiter family comets contribute a significant amount of debris to near-Earth space. However, telescopic observations of these objects seem to suggest they have short physical life…

astro-ph.EP2021

Statistical analysis of fireballs: Seismic signature survey

T. Neidhart, K. Miljković, E. K. Sansom +5

Fireballs are infrequently recorded by seismic sensors on the ground. If recorded, they are usually reported as one-off events. This study is the first seismic bulk analysis of the…

astro-ph.EP2020

Machine Learning for Semi-Automated Meteorite Recovery

Seamus Anderson, Martin Towner, Phil Bland +11

We present a novel methodology for recovering meteorite falls observed and constrained by fireball networks, using drones and machine learning algorithms. This approach uses images…