Ukrainian Database and Atlas of Light Curves of Artificial Space Objects

Koshkin, N. I.; Саваневич, В. Е.; Pohorelov, A. V.; Shakun, L.; Zhukov, V.; Korobeynikova, E.; Strakhova, S.; Moskalenko, Serhii; Kashuba, V.; Krasnoshchokov, A.

doi:10.18524/1810-4215.2017.30.117655

Cited by 3 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Photometric and SLR data were analyzed in order to determine the spin period of T/P. The light curves collected by the Odessa observatory provide the satellite brightness that changes significantly over a single pass due to the spin of the sunlit satellite (Koshkin, ). The light curves were processed with the phase dispersion minimization method, PDM (Stellingwerf, ), which finds the periodic variation in the time series by minimizing the dispersion of the folded data set.…”

Section: Spin Parameters Determinationmentioning

confidence: 99%

See 1 more Smart Citation

Photon Pressure Force on Space Debris TOPEX/Poseidon Measured by Satellite Laser Ranging

Kucharski

Kirchner

Bennett³

et al. 2017

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

The (TOPography EXperiment) TOPEX/Poseidon (T/P) altimetry mission operated for 13 years before the satellite was decommissioned in January 2006, becoming a large space debris object at an altitude of 1,340 km. Since the end of the mission, the interaction of T/P with the space environment has driven the satellite's spin dynamics. Satellite laser ranging (SLR) measurements collected from June 2014 to October 2016 allow for the satellite spin axis orientation to be determined with an accuracy of 1.7°. The spin axis coincides with the platform yaw axis (formerly pointing in the nadir direction) about which the body rotates in a counterclockwise direction. The combined photometric and SLR data collected over the 11 year time span indicates that T/P has continuously gained rotational energy at an average rate of 2.87 J/d and spins with a period of 10.73 s as of 19 October 2016. The satellite attitude model shows a variation of the cross‐sectional area in the Sun direction between 8.2 m2 and 34 m2. The direct solar radiation pressure is the main factor responsible for the spin‐up of the body, and the exerted photon force varies from 65 μN to 228 μN around the mean value of 138.6 μN. Including realistic surface force modeling in orbit propagation algorithms will improve the prediction accuracy, giving better conjunction warnings for scenarios like the recent close approach reported by the ILRS Space Debris Study Group—an approximate 400 m flyby between T/P and Jason‐2 on 20 June 2017.

show abstract

Section: Spin Parameters Determinationmentioning

confidence: 99%

“…The SLR data are freely available from the Graz FTP server (ftp://sddis.oeaw.ac.at) and located in directory “/pub/fr_crd/topex,” the CPF predictions: “/pub/cpf_predicts/topex”; the measured spin trend data (Figures and ): “/pub/sci_product/topex”. The light curves are available through the Light Curve Atlas (Koshkin, ).…”

Section: Acknowledgmentsmentioning

confidence: 99%

Photon Pressure Force on Space Debris TOPEX/Poseidon Measured by Satellite Laser Ranging

Kucharski

Kirchner

Bennett³

et al. 2017

Earth and Space Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…The dataset used in this research consists of light curves collected from the Ukrainian database and atlas of light curves [ 14 ]. This database contains a collection of light curves from 340 (LEO) RSOs with observations performed from 2012 to 2020.…”

Section: Introductionmentioning

confidence: 99%

“…Since the percentage of debris is much lower than the other categories, debris light curves are not included in this study. The light curves were collected from a KT-50 telescope in Odessa [ 14 ]. For each RSO, there are 1–343 observations taken at different time periods across a 9-year time span.…”

Section: Introductionmentioning

confidence: 99%

Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM)

Qashoa,

Lee

2023

Sensors

View full text Add to dashboard Cite

Light curves are plots of brightness measured over time. In the field of Space Situational Awareness (SSA), light curves of Resident Space Objects (RSOs) can be utilized to infer information about an RSO such as the type of object, its attitude, and its shape. Light curves of RSOs in geostationary orbit (GEO) have been a main research focus for many years due to the availability of long time series data spanning hours. Given that a large portion of RSOs are in low Earth orbit (LEO), it is of great importance to study trends in LEO light curves as well. The challenge with LEO light curves is that they tend to be short, typically no longer than a few minutes, which makes them difficult to analyze with typical time series techniques. This study presents a novel approach to observational LEO light curve classification. We extract features from light curves using a wavelet scattering transformation which is used as an input for a machine learning classifier. We performed light curve classification using both a conventional machine learning approach, namely a support vector machine (SVM), and a deep learning technique, long short-term memory (LSTM), to compare the results. LSTM outperforms SVM for LEO light curve classification with a 92% accuracy. This proves the viability of RSO classification by object type and spin rate from real LEO light curves.

show abstract

“…The visible period is determined by the vector sum of two rotations -the SO's own rotation and its orbital motion relative to the observer. In this paper, we consider some of the observed features of the alternation of specular flashes and changes in the visible rotation period using the example of the light curves of the inoperative Topex/Posseidon satellite (Koshkin N. et al, 2017; Atlas of light curves of space objects, 2014-2015; Atlas of light curves of space objects, 2016-2018). Figure 1 shows a fragment of the representative light curve of a freely rotating former Topex satellite.…”

mentioning

confidence: 99%

Simulation of the Orbiting Spacecraft to Analysis and Understand Their Rotation Based on Photometry

Кошкин

Melikyants

Коробейникова

et al. 2019

OAP

Self Cite

View full text Add to dashboard Cite

Analysis of the photometric information allows to determine the parameters of spacecraft rotation. We will consider the light curves of a rotating satellite.Smooth changes in brightness, which are caused by diffuse scattering of sunlight, are characterized by the amplitude, quantity, shape and asymmetry of brightness variation during the rotation period of the body. In addition, the so-called "specular" flashes of light of very large amplitude are present on light curves. By analyzing the observed light curves of the inactive satellites Topex/Poseidon and Sich-2, the determination of pole orientation these objects in space is demonstrated. To interpret the light curve's contained information, we are planning to creat optical-geometrical models of this satellite and simulated geometrical conditions by its orbit passages. Further comparison of the model and observed light curves should allow us to confirm the correctness of the satellite attitude determination. For the simulation, we used the MaxScript programming language, which allows to create a satellite model, and simulate the opticalgeometric conditions of its passage, including the complex rotation of the spacecraft. Keywords: Earth's artificial satellite, space object, photometry, light curve, rotation period. АНОТАЦІЯ. Для контролю навколоземного космічного простору використовуються оптичні засоби спостереження. Аналіз фотометричної інформації дозволяє визначити параметри обертання космічного апарату. Ми розглянули криві блиску супутника, що обертається. Плавні зміни блиску, які обумовлені дифузним розсіюванням сонячного світла, характеризуються амплітудою, кількістю, формою і асиметрією коливань блиску протягом періоду обертання тіла. Крім того, на реєстрованих кривих блиску присутні так звані "дзеркальні" спалахи блиску, тобто короткочасні підвищення блиску дуже великої амплітуди. Такі спалахи блиску обумовлені дзеркальним відбиттям сонячного світла від гладких поверхонь на корпусі КО. На основі аналізу спостережуваних кривих блиску неактивних супутників Topex/Poseidon та Sich-2 викладено методику визначення орієнтації цих об'єктів у просторі. Щоб інтерпретувати інформацію, що міститься в кривій блиску, ми плануємо створити детальні оптико-геометричні моделі цього супутника і симулювати геометричні умови в його проходах по орбіті. Подальше порівняння моделі і спостережуваних кривих блиску має дозволити нам підтвердити правильність визначення орієнтації супутника. Для моделювання ми використовували мову програмування MaxScript, який дозволяє створювати модель супутника і моделювати оптикогеометричні умови його проходження, в тому числі складне обертання космічного корабля. Ключові слова: Штучний супутник Землі, космічний об'єкт, фотометрія, крива блиску, період обертання.Optical surveillance tools are used to of near-Earth space situations awareness. A satellite moving in orbit around the Earth is visible to the observer when it is illuminated by the Sun. Registration of the satellite's position against the background of stars allows us to solve the probl...

show abstract

Ukrainian Database and Atlas of Light Curves of Artificial Space Objects

Cited by 3 publications

References 2 publications

Photon Pressure Force on Space Debris TOPEX/Poseidon Measured by Satellite Laser Ranging

Photon Pressure Force on Space Debris TOPEX/Poseidon Measured by Satellite Laser Ranging

Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM)

Simulation of the Orbiting Spacecraft to Analysis and Understand Their Rotation Based on Photometry

Contact Info

Product

Resources

About