Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Blomme J"'
Autor:
Rimoldini, L., Dubath, P., Süveges, M., López, M., Sarro, L. M., Blomme, J., De Ridder, J., Cuypers, J., Guy, L., Mowlavi, N., Lecoeur-Taïbi, I., Beck, M., Jan, A., Nienartowicz, K., Ordóñez-Blanco, D., Lebzelter, T., Eyer, L.
Publikováno v:
Mon. Not. R. Astron. Soc. 427, 2917-2937 (2012)
We present an automated classification of stars exhibiting periodic, non-periodic and irregular light variations. The Hipparcos catalogue of unsolved variables is employed to complement the training set of periodic variables of Dubath et al. with irr
Externí odkaz:
http://arxiv.org/abs/1301.1545
Autor:
Dubath, P., Lecoeur-Taïbi, I., Rimoldini, L., Süveges, M., Blomme, J., López, M., Sarro, L. M., De Ridder, J., Cuypers, J., Guy, L., Nienartowicz, K., Jan, A., Beck, M., Mowlavi, N., De Cat, P., Lebzelter, T., Eyer, L.
A complete periodic star extraction and classification scheme is set up and tested with the Hipparcos catalogue. The efficiency of each step is derived by comparing the results with prior knowledge coming from the catalogue or from the literature. A
Externí odkaz:
http://arxiv.org/abs/1107.3638
We present the results of an automated variability analysis of the Kepler public data measured in the first quarter (Q1) of the mission. In total, about 150 000 light curves have been analysed to detect stellar variability, and to identify new member
Externí odkaz:
http://arxiv.org/abs/1102.2319
Autor:
Blomme, J., Sarro, L. M., O'Donovan, F. T., Debosscher, J., Brown, T., Lopez, M., Dubath, P., Rimoldini, L., Charbonneau, D., Dunham, E., Mandushev, G., Ciardi, D. R., De Ridder, J., Aerts, C.
We present a novel automated methodology to detect and classify periodic variable stars in a large database of photometric time series. The methods are based on multivariate Bayesian statistics and use a multi-stage approach. We applied our method to
Externí odkaz:
http://arxiv.org/abs/1101.5038
Autor:
Dubath, P., Rimoldini, L., Süveges, M., Blomme, J., López, M., Sarro, L. M., De Ridder, J., Cuypers, J., Guy, L., Lecoeur, I., Nienartowicz, K., Jan, A., Beck, M., Mowlavi, N., De Cat, P., Lebzelter, T., Eyer, L.
We present an evaluation of the performance of an automated classification of the Hipparcos periodic variable stars into 26 types. The sub-sample with the most reliable variability types available in the literature is used to train supervised algorit
Externí odkaz:
http://arxiv.org/abs/1101.2406
Autor:
Blomme, J., Debosscher, J., De Ridder, J., Aerts, C., Gilliland, R. L., Christensen-Dalsgaard, J., Kjeldsen, H., Brown, T. M., Borucki, W. J., Koch, D., Jenkins, J. M., Kurtz, D. W., Stello, D., Stevens, I. R., Suran, M. D., Derekas, A.
We present the first results of the application of supervised classification methods to the Kepler Q1 long-cadence light curves of a subsample of 2288 stars measured in the asteroseismology program of the mission. The methods, originally developed in
Externí odkaz:
http://arxiv.org/abs/1001.0507
Autor:
Hekker, S., Debosscher, J., Huber, D., Hidas, M. G., De Ridder, J., Aerts, C., Stello, D., Bedding, T. R., Gilliland, R. L., Christensen-Dalsgaard, J., Brown, T. M., Kjeldsen, H., Borucki, W. J., Koch, D., Jenkins, J. M., Van Winckel, H., Beck, P. G., Blomme, J., Southworth, J., Pigulski, A., Chaplin, W. J., Elsworth, Y. P., Stevens, I. R., Dreizler, S., Kurtz, D. W., Maceroni, C., Cardini, D., Derekas, A., Suran, M. D.
Oscillating stars in binary systems are among the most interesting stellar laboratories, as these can provide information on the stellar parameters and stellar internal structures. Here we present a red giant with solar-like oscillations in an eclips
Externí odkaz:
http://arxiv.org/abs/1001.0399
Autor:
Eyer, L., Jan, A., Dubath, P., Nienartowicz, K., Blomme, J., Debosscher, J., De Ridder, J., Lopez, M., Sarro, L.
Publikováno v:
AIP Conf.Proc.1082:257,2008
The classification of time series from photometric large scale surveys into variability types and the description of their properties is difficult for various reasons including but not limited to the irregular sampling, the usually few available phot
Externí odkaz:
http://arxiv.org/abs/0901.2835
Autor:
Blomme, J., Sarro, L. M., O’Donovan, F. T., Debosscher, J., Brown, T., Lopez, M., Dubath, P., Rimoldini, L., Charbonneau, D., Dunham, E., Mandushev, G., Ciardi, D. R., De Ridder, J., Aerts, C.
Publikováno v:
Monthly Notices of the Royal Astronomical Society
We present a novel automated methodology to detect and classify periodic variable stars in a large data base of photometric time series. The methods are based on multivariate Bayesian statistics and use a multistage approach. We applied our method to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c6ca78a2f7d9b4db3d3bb67614ffa00
http://doc.rero.ch/record/302309/files/mnras0418-0096.pdf
http://doc.rero.ch/record/302309/files/mnras0418-0096.pdf
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