A double-station meteor camera set-up in the Canary Islands – CILBO

Koschny, D.; Bettonvil, Felix; Licandro, J.; Luijt, Cornelis van der; Auliffe, J. Mc; Smit, Hans; Svedhem, H.; Wit, F. de; Witasse, Olivier; Zender, Joe

doi:10.5194/gi-2-339-2013

Cited by 12 publications

(12 citation statements)

References 6 publications

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“…Most intensified video systems have resolutions of 30 to 100 meters per pixel. For example, the CILBO automated meteor observatory on the Canary Islands(Koschny et al, 2013) has a pixel scale of 2.3' per pixel (30 degrees and 768 pixels across), and an approximate range at the centre of the common observing volume (at 100 km) of 110 km, giving a spatial resolution of about 75 m per pixel. Meteors will appear as points in these systems unless they have fragment separations which are much greater than the resolution Fisher et al (2000).…”

mentioning

confidence: 99%

Meteoroid structure and fragmentation

Campbell-Brown

2019

Planetary and Space Science

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The physical composition and structure of meteoroids gives us insight into the formation processes of their parent asteroids and comets. The strength of and fundamental grain sizes in meteoroids tell us about the environment in which small solar system bodies formed, and the processes which built up these basic planetary building blocks. The structure of meteorites can be studied directly, but the set of objects which survive entry through the atmosphere is biased toward large, strong objects with slow encounter speeds.Fragile objects, small objects and objects with high relative speeds are very unlikely to survive impact with the atmosphere. Objects between 100 microns and 1 meter, which are not strong enough to survive the ablation process, must be studied by radar or optical methods.Large meteoroids, which produce bright fireballs, are generally studied by investigating their compressive strength when they fragment, and their strength can also be inferred indirectly from their end heights.Fragmentation in faint meteors can be inferred from interference in radar observations, or observed directly with high-resolution optical systems. Me-teor light curves, begin heights and time-evolving spectra can also be used to infer meteoroid structure. This paper presents a review of the meteor observation methods currently used to infer the structure and fragmentation of meteoroids in the millimeter to meter size range, and the current state of understanding these observations have given us.

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confidence: 99%

Meteoroid structure and fragmentation

Campbell-Brown

2019

Planetary and Space Science

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“…The complete content of an information file is, for each frame where the meteor was detected, frame number, precise time taken from the computer clock, magnitude of the event, position of the photometric centre in coordinates relative to the detector and in celestial coordinates and fitted coordinates as described in the following paragraph. An example information file can be found in Koschny et al (2013).…”

Section: Data Flowmentioning

confidence: 99%

“…From this, the mass of the underlying meteoroid can be estimated (see e.g. Drolshagen et al, 2014;Ott et al, 2014;Kretschmer et al, 2015). This allows us to determine the flux density of meteoroids as a function of mass.…”

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confidence: 99%

Revised version of the Paper

Albin¹

2017

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In this paper, we analyse the technical biases of two intensified video cameras, ICC7 and ICC9, of the double-station meteor camera system CILBO (Canary Island Long-Baseline Observatory). This is done to thoroughly understand the effects of the camera systems on the scientific data analysis. We expect a number of errors or biases that come from the system: instrumental errors, algorithmic errors and statistical errors. We analyse different observational properties, in particular the detected meteor magnitudes, apparent velocities, estimated goodness-of-fit of the astrometric measurements with respect to a great circle and the distortion of the camera.We find that, due to a loss of sensitivity towards the edges, the cameras detect only about 55 % of the meteors it could detect if it had a constant sensitivity. This detection efficiency is a function of the apparent meteor velocity.We analyse the optical distortion of the system and the "goodness-of-fit" of individual meteor position measurements relative to a fitted great circle. The astrometric error is dominated by uncertainties in the measurement of the meteor attributed to blooming, distortion of the meteor image and the development of a wake for some meteors. The distortion of the video images can be neglected.We compare the results of the two identical camera systems and find systematic differences. For example, the peak magnitude distribution for ICC9 is shifted by about 0.2-0.4 mag towards fainter magnitudes. This can be explained by the different pointing directions of the cameras. Since both cameras monitor the same volume in the atmosphere roughly between the two islands of Tenerife and La Palma, one camera (ICC7) points towards the west, the other one (ICC9) to the east. In particular, in the morning hours the apex source is close to the field-of-view of ICC9. Thus, these meteors appear slower, increasing the dwell time on a pixel. This is favourable for the detection of a meteor of a given magnitude.

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“…A detailed overview of the set-up is given in a previous paper (Koschny et al, 2013). In this paper, we focus on the camera and the detection system, with an emphasis on their technical performance.…”

Section: Cilbo Overviewmentioning

confidence: 99%

“…The automated event detection runs every clear night, controlled by a scheduling software as described in Koschny et al (2013). At the end of the night, the data are uploaded to a central server for further processing.…”

Section: Data Flowmentioning

confidence: 99%

Analysis of the technical biases of meteor video cameras used in the CILBO system

Albin

Koschny

Molau³

et al. 2017

Geosci. Instrum. Method. Data Syst.

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Abstract. In this paper, we analyse the technical biases of two intensified video cameras, ICC7 and ICC9, of the double-station meteor camera system CILBO (Canary Island Long-Baseline Observatory). This is done to thoroughly understand the effects of the camera systems on the scientific data analysis. We expect a number of errors or biases that come from the system: instrumental errors, algorithmic errors and statistical errors. We analyse different observational properties, in particular the detected meteor magnitudes, apparent velocities, estimated goodness-of-fit of the astrometric measurements with respect to a great circle and the distortion of the camera.We find that, due to a loss of sensitivity towards the edges, the cameras detect only about 55 % of the meteors it could detect if it had a constant sensitivity. This detection efficiency is a function of the apparent meteor velocity.We analyse the optical distortion of the system and the "goodness-of-fit" of individual meteor position measurements relative to a fitted great circle. The astrometric error is dominated by uncertainties in the measurement of the meteor attributed to blooming, distortion of the meteor image and the development of a wake for some meteors. The distortion of the video images can be neglected.We compare the results of the two identical camera systems and find systematic differences. For example, the peak magnitude distribution for ICC9 is shifted by about 0.2-0.4 mag towards fainter magnitudes. This can be explained by the different pointing directions of the cameras. Since both cameras monitor the same volume in the atmosphere roughly between the two islands of Tenerife and La Palma, one camera (ICC7) points towards the west, the other one (ICC9) to the east. In particular, in the morning hours the apex source is close to the field-of-view of ICC9. Thus, these meteors appear slower, increasing the dwell time on a pixel. This is favourable for the detection of a meteor of a given magnitude.

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A double-station meteor camera set-up in the Canary Islands – CILBO

Cited by 12 publications

References 6 publications

Meteoroid structure and fragmentation

Meteoroid structure and fragmentation

Revised version of the Paper

Analysis of the technical biases of meteor video cameras used in the CILBO system

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