CoLiTecVS software for the automated reduction of photometric observations in CCD-frames

Savanevych, Vadym; Khlamov, Sergii; Akhmetov, V. S.; Briukhovetskyi, Oleksandr; Vlasenko, V. P.; Dikov, E. N.; Kudzej, Igor; Dubovský, Pavol A.; Mkrtichian, D. E.; Tabakova, Iryna; Trunova, Tetiana

doi:10.1016/j.ascom.2022.100605

Cited by 18 publications

(14 citation statements)

References 25 publications

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“…typical shape of its image on a series of frames. This method will make it possible to more accurately estimate the aperture brightness (brilliance) of OSS objects [2], which will allow their identification with those already known from the list of cataloged objects. In addition, this method will increase the conditional probability of correct detection (CPCD) [13] of real objects and build a more accurate brilliance curve.…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

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Devising a method for determining the aperture brightness of an object using a typical shape of its image

Khlamov

Savanevych

Vlasenko

et al. 2023

EEJET

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The object of this study is the aperture brightness of the image of the object, which has a variety of typical shapes in the frames of the series. It directly depends on the stability of the shooting conditions of the objects under study. Thus, determining the exact aperture brightness of an object in the frame becomes more difficult. For this purpose, a method was devised for determining the aperture brightness of an object using the typical shape of its image on a series of frames. This method is based on the formation of a typical shape of a digital image of an object based on data from all frames of the series. The typical shape makes it possible to take into account the peculiarities of the formation of the image of the object on each frame of the series. Based on this, a more accurate estimate of the initial approximation of the parameters of all Gaussian images of the object is performed. In addition, the adaptation of the method to the standard shape makes it possible to perform a more accurate assessment of the aperture brightness of the object in comparison with the analytically defined profile. An estimate of the aperture brightness of the object was derived using the least squares method. Due to minimization using the Levenberg-Marquardt algorithm, the use of the method improved identification with reference objects and reduced the number of false positives. The study showed a decrease in the standard deviation of frame identification errors by 5–7 times when using a typical shape of a digital image. The devised method for determining an object's aperture brightness using its image's typical shape was tested in practice within the framework of the CoLiTec project. It was implemented in the intra-frame processing unit of the CoLiTecVS software for the automated construction of brilliance curves of the studied variable stars. Owing to the use of the CoLiTecVS software and the proposed computational method implemented in it, more than 700,000 measurements of various objects under study were successfully processed and identified

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Section: The Study Materials and Methodsmentioning

confidence: 99%

“…The modern methods of astrometry [1] and photometry [2] have been actively used for such a leading direction as asteroid-comet hazard [3]. Most often, photometry [4] includes automatic processing of the results of asteroid/cometary/satellite surveys, as well as the results of observations of variable stars [5].…”

Section: Introductionmentioning

confidence: 99%

Devising a method for determining the aperture brightness of an object using a typical shape of its image

Khlamov

Savanevych

Vlasenko

et al. 2023

EEJET

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“…For processing one series of observations were used 30-40 reference stars with colors close to the Sun; some brighter and some dimmer, than moving objects. The images were analyzed by calibrated and measured using Lemur software [Savanevych, 2022]. Measurement of magnitudes of objects was made after the application of standard procedures of master flat and master dark images.…”

Section: Light Curves Analysismentioning

confidence: 99%

“…After time and brightness corrections, deriving asteroid periods from their lightcurves by the Fourier series analysis method [Pravec, Harris, 2000]. A detailed description of the algorithm is given by [Kwiatkowski et al, 2009].…”

Section: Light Curves Analysismentioning

confidence: 99%

Light Curve Analysis of Six Main Belt Asteroids With Earth Moid Less Than 1au

Eglitis,

Nagainis,

Sokolova

et al. 2023

OAP

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Six main belt asteroids 1999 HK1 (11411), 1995 AM1 (30968), 1999 XC136 (53454), 1999 JN6 (70055), 1999 UQ9 (86280), 2000 SU2 (93041) with Earth MOID less than 1AU were studied at the Baldone Astrophysical Observatory of the Institute of Astronomy of the University of Latvia in the time span range 2020-2022. The obtained light curve data together with published Minor Planet Center data in the time range 1999-2022 were analyzed with Fourier series, Lomb-Scargle periodogram, and Phase dispersion minimization methods. A plan of analysis step by step is given. The results computed from different observatories' data are compared and mean-weighted periods are obtained. The rotation periods are for asteroids: N11411 P = 6.544 h, N30968 P = 8.330 h, N53454 P = 4.615 h, N70055 P = 74.364 h, N86280 P = 1.315 or 6.658 h and N93041 P = 30.645 h.

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“…Related to the issue of asteroid-comet danger [1], the leading direction for the use of astrometry [2] and photometry [3] methods is the automatic processing of the results of asteroid surveys. Huge astronomical catalogs [4] and archival big data [5] make it possible to accumulate, gain knowl-edge [6], and analyze accumulated data and measurements in the public domain [7] for the entire period of observation of specific celestial objects of the Solar System (SSO) [8].…”

Section: Introductionmentioning

confidence: 99%

Development of the matched filtration of a blurred digital image using its typical form

Khlamov¹,

Savanevych

Vlasenko

et al. 2023

EEJET

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The appearance of "blurred" digital images is a consequence of the violation of the immobility of the camera during the shooting of the objects under study. To this end, a procedure was devised for matched filtering of the blurred digital image of the object using its typical image form in a series of frames. This procedure is based on the automated formation of a typical form of a digital image, as well as on the choice of special parameters for the transfer function of the matched filter. Adapting the procedure specifically to the typical form makes it possible to perform a more accurate assessment of the required parameters of the blurred digital image compared to the analytically set profile. The formation of a typical form makes it possible to take into account the features of the very formation of the blurred image on each frame of the original series. Based on this, a more accurate assessment of the initial approximation of the parameters of all Gaussians of the object image is performed. In practice, matched filtering makes it possible to highlight blurred images of objects against the background of substrate noise. Also, using the matched filtering procedure makes it possible to improve the segmentation of images of reference objects and reduce the number of false detections. The devised procedure for the matched filtering of a blurred digital image using its typical form has been tested in practice as part of the research in the framework of the CoLiTec project. It was implemented in the intraframe processing unit of the Lemur software for the automated detection of new and tracking of known objects. Owing to the use of Lemur software and the proposed computational procedure introduced into it, more than 700,000 measurements of various objects under study were successfully processed and identified

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CoLiTecVS software for the automated reduction of photometric observations in CCD-frames

Cited by 18 publications

References 25 publications

Devising a method for determining the aperture brightness of an object using a typical shape of its image

Devising a method for determining the aperture brightness of an object using a typical shape of its image

Light Curve Analysis of Six Main Belt Asteroids With Earth Moid Less Than 1au

Development of the matched filtration of a blurred digital image using its typical form

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