Physical models of ten asteroids  from an observers' collaboration network

Ďurech, Josef; Kaasalainen, M.; Marciniak, A.; Allen, William H.; Behrend, R.; Bembrick, C.; Bennett, Thomas; Bernasconi, L.; Berthier, J.; Bolt, Greg; Boroumand, S.; Silva, L. Crespo da; Crippa, R.; Crow, Martin; Durkee, Russell I.; Dymock, R.; Fagas, M.; Fauerbach, M.; Fauvaud, S.; Frey, Matthias; Gonçalves, R.; Hirsch, R.; Jardine, David W.; Kamiński, K.; Koff, R. A.; Kwiatkowski, T.; López, A.; Manzini, F.; Michałowski, Tadeusz; Pacheco, R.; Pan, Margaret; Pilcher, Frederick; Poncy, R.; Pray, Donald P.; Pych, W.; Roy, R.; Santacana, G.; Slivan, Stephen M.; Sposetti, S.; Stephens, Robert D.; Warner, Brian D.; Wolf, M.

doi:10.1051/0004-6361:20066347

Cited by 22 publications

(16 citation statements)

References 13 publications

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“…Recent results of some targets included in this paper are found in Durech et al (2007). Differences to the results in other publications are due to the use of different modelling techniques.…”

Section: New Spin and Shape Solutionsmentioning

confidence: 87%

“…Figure 5 (93) Minerva, C, 150 km 14 lightcurves were used, five of which had not been published before (Table 1). The rest of the data are published in Millis et al (1985), Debehogne et al (1982), and Denchev We used 58 lightcurves of Elektra, four of which were new (Table 1), and the rest are published in Danforth and Ratcliff (1994), Debehogne et al (1990), Harris and Young Weidenschilling et al (1987), Shevchenko et al (1996), and Durech et al (2007).…”

Section: (79) Eurynome S 68 Kmmentioning

confidence: 99%

“…We (776) Berbericia, C, 390 km 33 lightcurves were used. Two of the curves were unpublished (see Table 1), and the rest published in Debehogne et al (1983), Di Martino et al (1987), Schober (1979), HainautRouelle et al (1995), and Durech et al (2007). The observations spanned a total of 28 years.…”

Section: (79) Eurynome S 68 Kmmentioning

confidence: 99%

See 2 more Smart Citations

Asteroid shape and spin statistics from convex models

Torppa¹,

Hentunen²,

Pääkkönen³

et al. 2008

Icarus

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Section: New Spin and Shape Solutionsmentioning

confidence: 87%

Section: (79) Eurynome S 68 Kmmentioning

confidence: 99%

See 1 more Smart Citation

Asteroid shape and spin statistics from convex models

Torppa¹,

Hentunen²,

Pääkkönen³

et al. 2008

Icarus

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“…USNO stands for the US Naval Observatory in Flagstaff -the photometry obtained at this observatory as a by-product of astrometric observations was downloaded from the AstDys page 4 and used for modelling. Scaltriti & Zappala (1977c) Zappala et al (1983a (54) Alexandra Belskaya et al (1993) di Martino et al (1987b) Haupt & Hanslmeier (1985 Tancredi & Gallardo (1991) USNO van Houten- (55) Pandora Barucci et al (1985) di Martino & Cacciatori (1984a) di Martino et al (1987b) Lagerkvist et al (1995) Shevchenko et al (1993 Schober ( Zappala et al (1982) (129) Antigone Barucci et al (1985) di Martino & Cacciatori (1984a) di Martino et al (1987b) Dotto et al (1992 Scaltriti & Zappala (1977b) Torppa et al (2003) Vesely & Taylor (1985) Weidenschilling et al (1987) Weidenschilling et al (1990 (130) Elektra Danforth & Ratcliff (1994) Debehogne et al (1990) Durech et al (2007) Harris & Young (1989 Harris et al (1999) Shevchenko et al (1996) Weidenschilling et al (1987 (132) Aethra USNO Weidenschilling et al (1990) Wisniewski et al (1997 (135) Hertha Dotto et al (1992) Harris et al (1992) Lagerkvist ( Zappala et al (1983b) (770) Bali USNO W...…”

Section: Appendix A: Lightcurve Referencesmentioning

confidence: 99%

DAMIT: a database of asteroid models

Ďurech

Sidorin

Kaasalainen

2010

A&A

Self Cite

249

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Context. Apart from a few targets that were directly imaged by spacecraft, remote sensing techniques are the main source of information about the basic physical properties of asteroids, such as the size, the spin state, or the spectral type. The most widely used observing technique -time-resolved photometry -provides us with data that can be used for deriving asteroid shapes and spin states. In the past decade, inversion of asteroid lightcurves has led to more than a hundred asteroid models. In the next decade, when data from all-sky surveys are available, the number of asteroid models will increase. Combining photometry with, e.g., adaptive optics data produces more detailed models. Aims. We created the Database of Asteroid Models from Inversion Techniques (DAMIT) with the aim of providing the astronomical community access to reliable and up-to-date physical models of asteroids -i.e., their shapes, rotation periods, and spin axis directions. Models from DAMIT can be used for further detailed studies of individual objects, as well as for statistical studies of the whole set. Methods. Most DAMIT models were derived from photometric data by the lightcurve inversion method. Some of them have been further refined or scaled using adaptive optics images, infrared observations, or occultation data. A substantial number of the models were derived also using sparse photometric data from astrometric databases.Results. At present, the database contains models of more than one hundred asteroids. For each asteroid, DAMIT provides the polyhedral shape model, the sidereal rotation period, the spin axis direction, and the photometric data used for the inversion. The database is updated when new models are available or when already published models are updated or refined. We have also released the C source code for the lightcurve inversion and for the direct problem (updates and extensions will follow).

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“…This inversion technique has been used by several authors during the last decade (e.g. [13], [24], [25]) resulting in around a hundred of convex asteroid models based on dense lightcurves.…”

Section: Shape Modelsmentioning

confidence: 99%

Shape Models and Physical Properties of Asteroids

Santana-Ros¹,

Dudziński²,

Bartczak³

2016

Astrophysics and Space Science Proceedings

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Despite the large amount of high quality data generated in recent space encounters with asteroids, the majority of our knowledge about these objects comes from ground based observations. Asteroids travelling in orbits that are potentially hazardous for the Earth form an especially interesting group to be studied. In order to predict their orbital evolution, it is necessary to investigate their physical properties. This paper briefly describes the data requirements and different techniques used to solve the lightcurve inversion problem. Although photometry is the most abundant type of observational data, models of asteroids can be obtained using various data types and techniques. We describe the potential of radar imaging and stellar occultation timings to be combined with disk-integrated photometry in order to reveal information about physical properties of asteroids.

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Physical models of ten asteroids from an observers' collaboration network

Cited by 22 publications

References 13 publications

Asteroid shape and spin statistics from convex models

Asteroid shape and spin statistics from convex models

DAMIT: a database of asteroid models

Shape Models and Physical Properties of Asteroids

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