Current status of Polish Fireball Network

Wiśniewski, M.; Żołądek, P.; Olech, A.; Tymiński, Zbigniew; Maciejewski, M.; Fietkiewicz, K.; Rudawska, Regina; Gozdalski, M.; Gawroński, M.; Suchodolski, Tomasz; Myszkiewicz, M.; Stolarz, M.; Polakowski, K.

doi:10.1016/j.pss.2017.03.013

Cited by 8 publications

(7 citation statements)

References 23 publications

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“…This material originates from a wide range of parent bodies and so has the potential to inform us about the status and histories of a great many parent bodies. Historically, efforts such as the Prairie Fireball Network (Wetherill and Revelle 1981), the Meteorite Recovery and Observation Project (MORP) in Canada (Halliday et al 1978), the European Fireball Network (Oberst et al 1998), and others (Bland 2004;Colas et al 2015;Cooke and Moser 2011;Gritsevich et al 2014;Hindley and Houlden 1977;Kokhirova and Borovička 2011;Shiba et al 1997;Sullivan and Klebe 2004;Watson 2009;Weryk et al 2008;Wiśniewski et al 2017) surveyed meteors using networks of cameras and recovered small numbers of meteorites. Perhaps the most scientifically significant outcome of these efforts was their recovery of meteorites paired with calculations of their original orbits.…”

Section: Fireball Detection and Trackingmentioning

confidence: 99%

Advanced Curation of Astromaterials for Planetary Science

et al. 2019

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Just as geological samples from Earth record the natural history of our planet, astromaterials hold the natural history of our solar system and beyond. Astromaterials acquisition and curation practices have direct consequences on the contamination levels of astromaterials and hence the types of questions that can be answered about our solar system and the degree of precision that can be expected of those answers. Advanced curation was developed as a cross-disciplinary field to improve curation and acquisition practices in existing astromaterials collections and for future sample return activities, including meteorite and cosmic dust samples that are collected on Earth. These goals are accomplished through research and development of new innovative technologies and techniques for sample collection, handling, characterization, analysis, and curation of astromaterials. In this contribution, we discuss five broad topics in advanced curation that are critical to improving sample acquisition and curation practices, including (1) best practices for monitoring and testing of curation infrastructure for inorganic, organic, and biological contamination; (2) requirements for storage, processing, and sample handling capabilities for future sample

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Section: Fireball Detection and Trackingmentioning

confidence: 99%

Advanced Curation of Astromaterials for Planetary Science

et al. 2019

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“…The privately built and rapidly growing All-Sky-7 network (formerly All-Sky-6, Hankey et al 2020) uses seven video cameras at each station, which together cover the whole sky, and the network has good potential but is more suited to fainter meteors. Other networks, for example those built in Spain (Madiedo et al 2018), Canada (Weryk et al 2008), the USA (Kingery et al 2020), or Poland (Wiśniewski et al 2017), mostly use lowresolution video cameras.…”

Section: Introductionmentioning

confidence: 99%

Data on 824 fireballs observed by the digital cameras of the European Fireball Network in 2017–2018

Borovička

Spurný

Shrbený

et al. 2022

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A catalog of 824 fireballs (bright meteors), observed by a dedicated network of all-sky digital photographic cameras in central Europe in the years 2017-2018 is presented. The status of the European Fireball Network, established in 1963, is described. The cameras collect digital images of meteors brighter than an absolute magnitude of about −2 and radiometric light curves with a high temporal resolution of those brighter than a magnitude ≈ −4. All meteoroids larger than 5 grams, corresponding to sizes of about 2 cm, are detected regardless of their entry velocity. High-velocity meteoroids are detected down to masses of about 0.1 gram. The largest observed meteoroid in the reported period 2017-2018 had a mass of about 100 kg and a size of about 40 cm. The methods of data analysis are explained and all catalog entries are described in detail. The provided data include the fireball date and time, atmospheric trajectory and velocity, the radiant in various coordinate systems, heliocentric orbital elements, maximum brightness, radiated energy, initial and terminal masses, maximum encountered dynamic pressure, physical classification, and possible shower membership. Basic information on the fireball spectrum is available for some bright fireballs (apparent magnitude < −7). A simple statistical evaluation of the whole sample is provided. The scientific analysis is presented in an accompanying paper.

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“…However, as computational power has increased, so has the viability of the numerical approach. There are at least 9 groups that publish orbital data from meteor and fireball observations, and CAM is used by all but one of them [CAM: Brown et al (2010); Colas et al (2015); Cooke & Moser (2012); Gural (2011); Madiedo & Trigo-Rodríguez (2008); Rudawska & Jenniskens (2014); Spurný et al (2007); Wiśniewski et al (2017), Numerical: Dmitriev et al (2015)]. The current numerical approach used by Dmitriev et al (2015), hereafter referred to as Dmitriev's Numerical Method (DNM), is available as part of the standalone Meteor Toolkit package and will be compared alongside the novel numerical propagation method described in this work.…”

Section: Introductionmentioning

confidence: 99%

Comparing analytical and numerical approaches to meteoroid orbit determination using Hayabusa telemetry

Jansen‐Sturgeon

Sansom

Bland

2019

Meteorit & Planetary Scien

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Fireball networks establish the trajectories of meteoritic material passing through Earth's atmosphere, from which they can derive pre‐entry orbits. Triangulated atmospheric trajectory data require different orbit determination methods to those applied to observational data beyond the Earth's sphere of influence, such as telescopic observations of asteroids. Currently, the vast majority of fireball networks determine and publish orbital data using an analytical approach, with little flexibility to include orbital perturbations. Here, we present a novel numerical technique for determining meteoroid orbits from fireball network data and compare it to previously established methods. The re‐entry of the Hayabusa spacecraft, with its known pre‐Earth orbit, provides a unique opportunity to perform this comparison as it was observed by fireball network cameras. As initial sightings of the Hayabusa spacecraft and capsule were made at different altitudes, we are able to quantify the atmosphere's influence on the determined pre‐Earth orbit. Considering these trajectories independently, we found the orbits determined by the novel numerical approach to align closer to JAXA's telemetry in both cases. Using simulations, we determine the atmospheric perturbation to become significant at ~90 km—higher than the first observations of typical meteorite dropping events. Using further simulations, we find the most substantial differences between techniques to occur at both low entry velocities and Moon passing trajectories. These regions of comparative divergence demonstrate the need for perturbation inclusion within the chosen orbit determination algorithm.

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Current status of Polish Fireball Network

Cited by 8 publications

References 23 publications

Advanced Curation of Astromaterials for Planetary Science

Advanced Curation of Astromaterials for Planetary Science

Data on 824 fireballs observed by the digital cameras of the European Fireball Network in 2017–2018

Comparing analytical and numerical approaches to meteoroid orbit determination using Hayabusa telemetry

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