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STUDIO FOTOMETRICO A 3 DIMENSIONI PER ASTEROIDI |
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Di seguito l'articolo presentato alla rivista Astronomy & Astrophysics a cui abbiamo collaborato con l'Osservatorio SAS del Prof , Federico Manzini, dall'Osservatorio personale a Tradate di Roberto Crippa e dalla Fondazione Osservatorio Astronomico di Tradate FOAM13 In questo articolo si presenta la possibilità di poter determinare la forma di un asteroide con immagini distanziate nel tempo che possono dare parametri fotometrici anche molto diversi. Con opportuni software sviluppati dall'ESO si possono trarre ipotesi a tre dimensioni dello sviluppo volumetrico di un asteroide. Il Software è stato sviluppato dal dipartimento di matematica applicata dell'Università di Helsinki. |
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Astronomy
& Astrophysicsmanuscript no. ten models
ESO
2006 Physical
models of ten asteroids from observers collaboration J. ¡ Durech1;2, M.
Kaasalainen2, A. Marciniak3, B. Allen23,
R. Behrend22, C. Bembrick4, L. Bernasconi5, J. Berthier25, G. Bolt6, R.
Crippa21, M. Crow7,
R. Durkee8, R. Dymock9, M. Fagas3, M. Fauerbach11,
Frey12, R. Goncalves20, R. Hirsch3, D. Jardine15, K. Kami´nski3, R. Ko_13, T. Kwiatkowski3, A. L´opez14, F. |
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ABSTRACT Aims.We present physical models of ten asteroids obtained by means of
lightcurve inversion. A substantial part of the photometric data was observed by amateur astronomers. We emphasize the
importance of a coordinated network of observers that will be of extreme
importance for future all-sky asteroid photometric surveys. Methods.
The lightcurve inversion method was used to derive spin
states and shape models of the asteroids. Results.We derived spin states and shape model for ten new asteroids. This
increases the number of asteroid models up to nearly one hundred. Key
words. asteroids – photometry – models
1.
Introduction The
lightcurve inversion method has become a standard tool for asteroid shape
and spin state determination (Kaasalainen & Torppa 2001; Kaasalainen
et al. 2001, 2002a). Convex modelsare a good representation of real shapes
of asteroids, as 110
Lydia, 125 Liberatrix, 130 Elektra, 165 Loreley, In
the last section, we discuss Send o_print requests
to: J. ¡ Durech the possibility of combining the ordinary lightcurves
with the sparse photometric data that will be available from all-sky
photometric surveys
in the near future.
2.
Observations In
order to derive unique spin state solutions and shape models we combined
photometric data published in the UAPC with All
the new observations are listed in Table 3. For each lightcurve, there is
the date of observation, aspect data, asteroid’s We
do not present all the lightcurves in a graphical form but select only
tree representative lightcurves for There
is not enough room for full report of observed data. 2 J. ¡ Durech et al.: Physical models of ten
asteroids from observers collaboration network
Table 1. The list of observatories
and telescopes, D is the telescope aperture diameter. code observing site D [cm] observers 1 2 Borowiec Station, M. Fagas, T. Micha³owski, T. Kwiatkowski 3 Carbuncle Hill 4 Egan Observatory, 5 Observatori Astronomic de Consell, Mallorca A.
Lopez, R. Pacheco 7 Ond¡rejov 8 Ostrowik, 9 Pic du 11Santana
Observatory
, 12 Shed of Science Observatory, 13 Pic de Chateau-Renard Observatory, France 62 S.
Fauvaud, G. Santacana 14 Waterlooville, 15 Whitin 16 Mt Tarana Observatory, 17 Craigie, Australia 25 G. Bolt 18 Pleasant Plains, Illinois, USA 35 F. Pilcher, D.
Jardine 19 R. Poncy 20 21Stazione Astronomica di Sozzago, Italy R. Crippa, F. Manzini 23 24 Antelope Hills Observatory 25 R. Ko_ 25 Les 26 Internet
databases will be the only possibility of data presentation after
Pan-STARRS and other surveys start.
3.
Models The
spin solutions and shape models were derived using the lightcurve
inversion method developed by Kaasalainen & A
good estimation of a typical error in the pole direction is about 5_ of arc. The accuracy of the
period determination is of the order of the last unit digit of the period
value given in Table 2. The table lists the
ecliptic coordinates of asteroid’s spin axis direction (_p; _p), its sidereal rotation period P, the span of observations in years, the umber of oppositions Nopp, the number of lightcurves Nlc, and the rms residual of the fit. Asteroid _p _p P years of obs. Nopp Nlc rms [deg] [deg] [hr] [mag] 110
Lydia 331 _61
10.92580 1958–2003 4 26 0.011 149 _55 125
Liberatrix 280 +74
3.968199 1981–2005 7 34 0.024 95 +68 130
Elektra 65 _88
5.224664 1980–2003 10 52 0.013 165
Loreley 346 +29
7.22667 1981–2006 6 29 0.015 196
Philomela 276 _49
8.332827 1964–2005 8 27 0.013 111 _41 218
Bianca 305 +17
6.33717 1979–2005 10 50 0.015 121 _10 306
Unitas 79 _35
8.73875 1979–2003 5 15 0.015 254 _18 423
Diotima 351 +4
4.775377 1981–2006 10 36 0.019 776
Berbericia 347 +12
7.66701 1977–2006 8 36 0.012 944
Hidalgo 281 +5
10.058634 1976–2004 4 14 0.013 25_). Although the pole
direction reported in Table 2 gives the best
fit to the data, there is a second pole solution (241_; _33_) that gives only a slightly worse fit and cannot be
completely ruled
out. 165 Loreley The shape model has many
flat areas, the lightcurves have small amplitude of 0.2 mag at most and a The
corresponding shape model is asymmetric with sharp edges. 944
4.
Future work The
number of asteroid models available so far is very small when compared
with the whole asteroid population. The classical approach of observing
selected target (or a few targets) during the night in order to densely
cover the lightcurve in the rotation phase is time consuming. The number
of asteroids with enough observations to derive a model increases only
slowly. The situation is going to change in the near future with the
asteroid photometric surveys (for example Pan-STARRS). It has been shown (see
Kaasalainen 2004; ¡ Durech et al. 2006) that asteroid models can be
derived from calibrated photometric measurements sparse in time. This kind
of data will be provided by future photometric surveys – instead of tens
of lightcurves covering several apparitions we will have typically a
hundred or more individual brightness measurements spread over several
years. A di_culty
that appears when analyzing sparse data is that the rotation period of an
asteroid is not ‘visible’ from the data as it is in the case of an
ordinary well-covered lightcurve. Thus a very wide interval of all
possible periods must be densely scanned for the correct value. The time
consuming process of period search can be sped up dramatically by adding
just one ordinary lightcurve that constrains the search to a narrow
interval of periods. more... Acknowledgements. This work was
supported, in part, by CIMO and the Station were supported by Polish Grant 1 P03D 020
27. 4 J. ¡ Durech et al.: Physical models of ten
asteroids from observers collaboration network |
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