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20162026
most citedDetermining fireball fates using the - criterion

39 citations · 133 across the 25 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

astro-ph.EP20197 cited

Identification of a Minimoon Fireball

P. M. Shober, T. Jansen-Sturgeon, E. K. Sansom +6

Objects gravitationally captured by the Earth-Moon system are commonly called temporarily captured orbiters (TCOs), natural Earth satellites, or minimoons. TCOs are a crucially imp…

astro-ph.EP2019

Where Did They Come From, Where Did They Go. Grazing Fireballs

P. M. Shober, T. Jansen-Sturgeon, E. K. Sansom +6

For centuries extremely-long grazing fireball displays have fascinated observers and inspired people to ponder about their origins. The Desert Fireball Network (DFN) is the largest…

astro-ph.EP2019

A Dynamic Trajectory Fit to Multi-Sensor Fireball Observations

Trent Jansen-Sturgeon, Eleanor K. Sansom, Hadrien A. R. Devillepoix +4

Meteorites with known orbital origins are key to our understanding of Solar System formation and the source of life on Earth. However, these pristine samples of space material are…

astro-ph.IM2019

Recreating the OSIRIS-REx Slingshot Manoeuvre from a Network of Ground-Based Sensors

Trent Jansen-Sturgeon, Benjamin A. D. Hartig, Gregory J. Madsen +20

Optical tracking systems typically trade-off between astrometric precision and field-of-view. In this work, we showcase a networked approach to optical tracking using very wide fie…

astro-ph.IM2019

Fireball streak detection with minimal CPU processing requirements for the Desert Fireball Network data processing pipeline

Martin C. Towner, Martin Cupak, Robert M. Howie +6

The detection of fireballs streaks in astronomical imagery can be carried out by a variety of methods. The Desert Fireball Network--DFN--uses a network of cameras to track and tria…

astro-ph.EP201939 cited

Determining fireball fates using the - criterion

Eleanor K. Sansom, Maria Gritsevich, Hadrien A. R. Devillepoix +7

As fireball networks grow, the number of events observed becomes unfeasible to manage by manual efforts. Reducing and analysing big data requires automated data pipelines. Triangul…