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Automatic Variability Analysis of Bulge Stars in OGLE-II Image Subtraction Database

100%

Mizerski T. , Bejger M.

tom Vol. 52, No. 1

61--80

We present results of star variability analysis in the OGLE-II bulge field BUL_SC1. Photometric database was derived by means of image subtraction method and contains 4597 objects preclassified as variables. We analyzed all the light curves in order to find periodic variables, non periodic but all-time variables and stars showing episodic changes in their brightness, e.g., gravitational lenses. Variability of 3969 stars was confirmed, among them we detected 12 lensing event candidates whose light curves are shown. We found 762 periodic variables. Algorithmic methods allowed us to identify 71 RR Lyr and 110 W UMa stars. Almost all luminous red giants are found to be variable. Most of red clump giants are not variable. Classification of all 4597 objects is presented online.

The Lost Foam method – pre-expansion process

70%

Pacyniak T. , Kaczorowski R. , Grom J. , Bejger M. , Majchrzak B.

tom Vol. 10, iss. 2

89--94

In the study, a pre-expansion station, designed by authors, was presented. It consists of a batch pre-expander with a 90 liters capacity foaming chamber, equipped with fluidized-solid dryer of pre-expanded beads and a pneumatic transport system of granules to the silo. Steam is delivered to the pre-expander from the electric vapor generator type LW 40.1. In the study, work principle of the pre-expansion station and pre-expansion tests carried out on this position were presented.

cDNA arrays and PCR-select applied for characterization of agricultural features in plants

70%

Podkowinski J. , Zmienko A. , Bejger M. , Figlerowicz M. , Legocki A. B.

nr Suppl.1