First reported observation of asteroids 2017 AB8, 2017 QX33, and 2017 RV12

Troianskyi, V.; Kashuba, V.; Bazyey, O.; Okhotko, H.; Savanevych, V.; Khlamov, S.; Briukhovetskyi, A.

doi:10.31577/caosp.2023.53.2.5

Cited by 5 publications

(2 citation statements)

References 19 publications

(24 reference statements)

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“…Most of the datasets were obtained using filters close to the Johnson-Cousins B, V , R c , and I c system. Standard processing was applied to reduce data (i.e., debiasing, dark subtracting, flat-fielding); for details, see Oszkiewicz et al (2020) and Troianskyi et al (2023). Measurements were done using MaxIm DL 1 and MPO Canopus 2 software.…”

Section: Observations and Resultsmentioning

confidence: 99%

Photometric and colorimetric studies of target objects using small and medium-size telescopes

Godunova,

Simon,

Markus

et al. 2024

caosp

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We report on follow-up studies of transient events and objects, which have been conducted in recent years using ground-based optical observations. BVRI photometry has been performed with small and medium-sized telescopes located in Europe and North America. The purpose of these studies, which are mainly focused on objects of unknown nature, is to reveal features of 206 V. Godunova et al.their variability that are critical for classifying the transients and understanding their evolution.We present here some results obtained from long-term monitoring of transients Gaia18aes, Gaia19bpg, as well as the quasar 4C +21.35.

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Section: Observations and Resultsmentioning

confidence: 99%

Photometric and colorimetric studies of target objects using small and medium-size telescopes

Godunova,

Simon,

Markus

et al. 2024

caosp

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“…The initial series for the study were obtained from a variety of telescopes installed at observatories in Ukraine and around the world. Namely, the ISON-NM observatory, the SANTEL-400AN telescope (New Mexico, USA); Vihorlat Observatory, VNT telescope (Humenne, Slovakia) [26]; Odesa-Mayaky Observatory, OMT-800 telescope (Mayaki, Ukraine) [31]; Cerro Tololo observatory, PROMPT-8 telescope (La Serena, Chile) [32].…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

Devising a procedure for the brightness alignment of astronomical frames background by a high frequency filtration to improve accuracy of the brightness estimation of objects

Vlasenko,

Khlamov,

Savanevych

2024

EEJET

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The object of this study is the background substrate of astronomical frames. To detect and compare the image of an object in a frame with its real image from astronomical catalogs, it is necessary to uniformly distribute the brightness of the background image substrate. Most often, the background alignment of astronomical frames is performed using the hardware calibration method applying the construction of service frames. However, it does not make it possible to eliminate the background from temporary stray light. Therefore, to solve this problem, a procedure has been proposed for brightness alignment of the background frame using high-pass filtering. For high-pass filtering of images, three high-pass filters were considered – an ideal filter, a Butterworth filter, and a Gaussian filter. To remove coarse-grained image components from the image, a high-pass filter was used, which attenuates low-frequency harmonics of the image spectrum while simultaneously passing high-frequency harmonics. Applying the devised procedure for brightness alignment of the background substrate of the frame has made it possible to increase the signal-to-noise ratio and reduce the dynamic range of the background substrate of the image. The study showed that when assessing brightness and identifying frames, the fitting provides better accuracy of reference to the starry sky. Also, the standard deviation of frame identification errors in this case is 5–7 times less than without using the devised procedure. The devised procedure for brightness alignment of the background frame substrate was tested in practice within the framework of the CoLiTec project. It was implemented at the stage of intra-frame processing in the Lemur software for automated detection of new objects and tracking of known objects

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High-Frequency Filtration for the Brightness Alignment of the Astronomical Frame Background

Vlasenko,

Khlamov,

Savanevych

et al. 2024

2024 14th International Conference on Advanced Computer Information Technologies (ACIT)

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First reported observation of asteroids 2017 AB8, 2017 QX33, and 2017 RV12

Cited by 5 publications

References 19 publications

Photometric and colorimetric studies of target objects using small and medium-size telescopes

Photometric and colorimetric studies of target objects using small and medium-size telescopes

Devising a procedure for the brightness alignment of astronomical frames background by a high frequency filtration to improve accuracy of the brightness estimation of objects

High-Frequency Filtration for the Brightness Alignment of the Astronomical Frame Background

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