camera networks
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2021 ◽  
Author(s):  
Sara Casao ◽  
Abel Naya ◽  
Ana C. Murillo ◽  
Eduardo Montijano

Author(s):  
Nanfeng Liu ◽  
Matthew Garcia ◽  
Aditya Singh ◽  
John D.J. Clare ◽  
Jennifer L. Stenglein ◽  
...  

Author(s):  
Samvit Jain ◽  
Xun Zhang ◽  
Yuhao Zhou ◽  
Ganesh Ananthanarayanan ◽  
Junchen Jiang ◽  
...  

Author(s):  
Jingtong Li ◽  
Jesse Murray ◽  
Dorina Ismaili ◽  
Konrad Schindler ◽  
Cenek Albl
Keyword(s):  
Ad Hoc ◽  

2020 ◽  
Author(s):  
Luke Daly ◽  
Sarah McMullan ◽  
Jim Rowe ◽  
Gareth S. Collins ◽  
Martin Suttle ◽  
...  

2020 ◽  
Author(s):  
Mikael Granvik ◽  
Peter Brown

<p>Over the past decade there has been a large increase in the number of automated camera networks that monitor the sky for fireballs. One of the goals of these networks is to provide the necessary information for linking meteorites to their pre-impact, heliocentric orbits and ultimately to their source regions in the solar system. We re-computed heliocentric orbits for the 25 meteorite falls published in or before 2016 from original data sources (Granvik and Brown 2018). Using these orbits, we constrained their most likely escape routes from the main asteroid belt and the cometary region by utilizing a state-of-the-art orbit model of the near-Earth-object population (Granvik et al. 2016), which includes a size-dependence in delivery efficiency. While we find that the general results for escape routes are comparable to previous work, the role of trajectory measurement uncertainty in escape-route identification is explored for the first time. Moreover, the improved size-dependent delivery model substantially changes likely escape routes for several meteorite falls, most notably Tagish Lake which seems unlikely to have originated in the outer main belt as previously suggested. In addition, we find that reducing the uncertainty of fireball velocity measurements below about 0.1 km/s does not lead to reduced uncertainties in the identification of their escape routes from the asteroid belt and, further, their ultimate source regions. The analysis suggests that camera networks should be optimized for the largest possible number of meteorite recoveries with measured speed precisions of order 0.1 km/s. We will present updated results based on a new NEO model (Granvik et al. 2018) and complement our data set with the falls that have been reported since 2016.</p> <p><strong>References:</strong> <br />Granvik, M. and Brown, P. (2018). "Identification of meteorite source regions in the Solar System", Icarus 311, 271-287. <br />Granvik, M., Morbidelli, A., Jedicke, R., Bolin, B., Bottke, W. F., Beshore, E., Vokrouhlicky, D., Delbo, M., Michel, P. (2016). "Super-catastrophic disruption of asteroids at small perihelion distances", Nature 530, 303-306.<br />Granvik, M., Morbidelli, A., Jedicke, R., Bolin, B., Bottke, W. F., Beshore, E., Vokrouhlicky, D., Nesvorny, D., Michel, P. (2018). "Debiased orbit and absolute-magnitude distributions for near-Earth objects", Icarus 312, 181-207.</p>


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