Tajikistan fireball network and results of photographic observations

Кохирова, Г. И.; Бабаджанов, П. Б.; Khamroev, U. Kh.

doi:10.1134/s0038094615030041

Cited by 3 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The difference between the times of photographing the trail at these two sites is less than 1 minute and therefore its effect on the final result is negligible. However, we should note that the values of the altitude and radiant obtained in [5] is slightly different with respect to the results from the bolide release and [7]. Such difference caused by the fact that [5] used images obtained at HisAO and Hulbuk were taken 15 minutes apart.…”

Section: Determination Of Superbolide Densitymentioning

confidence: 68%

“…However, we should note that the values of the altitude and radiant obtained in [5] is slightly different with respect to the results from the bolide release and [7]. Such difference caused by the fact that [5] used images obtained at HisAO and Hulbuk were taken 15 minutes apart. On the other hand, in [6] the wind speed was calculated to be 18 km/s.…”

Section: Determination Of Superbolide Densitymentioning

confidence: 68%

“…To determine the atmospheric trajectory and predict the region of the fallout of the superbolide fragments, authors in [5] used the photographs of the trail obtained at HisAO and Hulbuk that are located at a distance of 100 km from each other. As expected, the accuracy of measured parameters of the bolide trajectory improves significantly because of the usage of a long base.…”

Section: The Superbolide Of 23 July 2008mentioning

confidence: 99%

“…Therefore, to determine physical characteristics of the superbolide more accurately we used the average values of the atmospheric parameters (including the height of the beginning, the maximum luminosity, and the end of the trail that are shown in the last row of Table 1), obtained from the satellite and ground observations. The atmospheric parameters of the superbolide from [5,7,9] and the bolide release are presented in Table 1, where α r , δ r are the radiant coordinates, ϑ 0 is the velocity, z r is the zenith distance of the radiant, h b , h m , h e are the heights of the beginning, maximum luminosity and end of the trail of bolide, M m is the apparent stellar magnitude determined from the light curves obtained by the satellite, E is the kinetic energy and m is the mass of the bolide.…”

Section: The Superbolide Of 23 July 2008mentioning

confidence: 99%

See 3 more Smart Citations

Physical properties of the superbolide of Tajikistan based on combined satellite and ground-based observations

Narziev¹,

Khujanazarov²

2022

Adv.Astron.Spa.Physics

View full text Add to dashboard Cite

In this paper we present the study of the photometric mass and density for the Tajikistan superbolide of 23 July 2008. Using the combined data from satellite and ground-based observations the mass was calculated by three approaches: photometric (based on the light intensity at the height of maximum brightness), graphics (using published data of cars) and using the kinetic energy of the superbolide. As a result, the calculated values of the mass are 25.3, 19.9 and 18.9 tons, respectively (with average value of 21.3 ± 2.1 tons). The superbolid density was evaluated using the drag equation, the equation density of atmosphere at the heights of the maximum luminosity and beginning of the train and criterion-PE. The densities calculated by these three methods are equal to 1.1, 0.53 and 0.95 g/cm3 (with the average superbolide density as 0.86 ± 0.15 g/cm3).

show abstract

Section: Determination Of Superbolide Densitymentioning

confidence: 68%

Section: Determination Of Superbolide Densitymentioning

confidence: 68%

Section: The Superbolide Of 23 July 2008mentioning

confidence: 99%

Section: The Superbolide Of 23 July 2008mentioning

confidence: 99%

See 2 more Smart Citations

Physical properties of the superbolide of Tajikistan based on combined satellite and ground-based observations

Narziev¹,

Khujanazarov²

2022

Adv.Astron.Spa.Physics

View full text Add to dashboard Cite

show abstract

“…The MORP project comprises 16 cameras and covers a surface area of 700 000 km 2 . Other networks using photographic techniques have also been developed, such as the Tajikistan Fireball Network (Kokhirova et al 2015), which consists of 5 cameras and covers 11 000 km 2 . However, none of these other networks have made it possible to recover meteorites so far.…”

Section: Introductionmentioning

confidence: 99%

FRIPON: a worldwide network to track incoming meteoroids

Colas

Zanda

Bouley

et al. 2020

A&A

View full text Add to dashboard Cite

Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile – hence precious – meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receivers and covers an area of about 1.5 × 106 km2. Methods. The FRIPON network, fully operational since 2018, has been monitoring meteoroid entries since 2016, thereby allowing the characterization of their dynamical and physical properties. In addition, the level of automation of the network makes it possible to trigger a meteorite recovery campaign only a few hours after it reaches the surface of the Earth. Recovery campaigns are only organized for meteorites with final masses estimated of at least 500 g, which is about one event per year in France. No recovery campaign is organized in the case of smaller final masses on the order of 50 to 100 g, which happens about three times a year; instead, the information is delivered to the local media so that it can reach the inhabitants living in the vicinity of the fall. Results. Nearly 4000 meteoroids have been detected so far and characterized by FRIPON. The distribution of their orbits appears to be bimodal, with a cometary population and a main belt population. Sporadic meteors amount to about 55% of all meteors. A first estimate of the absolute meteoroid flux (mag < –5; meteoroid size ≥~1 cm) amounts to 1250/yr/106 km2. This value is compatible with previous estimates. Finally, the first meteorite was recovered in Italy (Cavezzo, January 2020) thanks to the PRISMA network, a component of the FRIPON science project.

show abstract