Space Debris Observations with the Slovak AGO70 Telescope: Astrometry and Light Curves
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Available online at www.sciencedirect.com ScienceDirect Advances in Space Research 65 (2020) 2018–2035 www.elsevier.com/locate/asr Space debris observations with the Slovak AGO70 telescope: Astrometry and light curves Jirˇ´ı Sˇilha a,⇑, Stanislav Krajcˇovicˇ a, Matej Zigo a, Juraj To´th a, Danica Zˇ ilkova´ a, Pavel Zigo a, Leonard Kornosˇ a, Jaroslav Sˇimon a, Thomas Schildknecht b, Emiliano Cordelli b, Alessandro Vananti b, Harleen Kaur Mann b, Abdul Rachman b, Christophe Paccolat b, Tim Flohrer c a Comenius University, Faculty of Mathematics, Physics and Informatics, 84248 Bratislava, Slovakia b Astronomical Institute, University of Bern, CH-3012 Bern, Switzerland c ESA/ESOC, Space Debris Office, Robert-Bosch-Strasse 5, DE-64293 Darmstadt, Germany Received 5 July 2019; received in revised form 10 November 2019; accepted 25 January 2020 Available online 5 February 2020 Abstract The Faculty of Mathematics, Physics and Informatics of Comenius University in Bratislava, Slovakia (FMPI) operates its own 0.7-m Newtonian telescope (AGO70) dedicated to the space surveillance tracking and research, with an emphasis on space debris. The obser- vation planning focuses on objects on geosynchronous (GEO), eccentric (GTO and Molniya) and global navigation satellite system (GNSS) orbits. To verify the system’s capabilities, we conducted an observation campaign in 2017, 2018 and 2019 focused on astrometric and photometric measurements. In last two years we have built up a light curve catalogue of space debris which is now freely available for the scientific community. We report periodic signals extracted from more than 285 light curves of 226 individual objects. We con- structed phase diagrams for 153 light curves for which we obtained apparent amplitudes. Ó 2020 COSPAR. Published by Elsevier Ltd. All rights reserved. Keywords: Space debris; Optical measurements; Space surveillance; Light curve; Catalogue; GEO; GTO; HEO 2010 MSC: 00-01; 99-00 1. Introduction The demand for Space Situational Awareness (SSA) is constantly growing due to the increase of the space traffic ⇑ Corresponding author. which is now largely joined by private sector which oper- E-mail addresses: [email protected] (J. Sˇilha), stanislav.krajcovic ates its own launchers and satellites (del Portillo et al., @fmph.uniba.sk (S. Krajcˇovicˇ), [email protected] (M. Zigo), 2019; May et al., 2018). In order to have the usage of space [email protected] (J. To´th), [email protected] (P. Zigo), sustainable understand how debris is created, active debris [email protected] (L. Kornosˇ), [email protected]. removal, and the real time and high quality data acquisi- sk (J. Sˇimon), [email protected] (T. Schildknecht), [email protected] (E. Cordelli), alessandro.vananti@aiub. tion is a necessity. Space debris is situated on various types unibe.ch (A. Vananti), [email protected] (H.K. Mann), of geocentric orbits, from low Earth orbits (LEO) of sev- [email protected] (A. Rachman), christophe.paccolat@aiub. eral hundreds kilometres above the Earth’s surface to unibe.ch (C. Paccolat), tim.fl[email protected] (T. Flohrer). https://doi.org/10.1016/j.asr.2020.01.038 0273-1177/Ó 2020 COSPAR. Published by Elsevier Ltd. All rights reserved. J. Sˇ ilha et al. / Advances in Space Research 65 (2020) 2018–2035 2019 geosynchronous Earth orbits (GEO) at the heights of SST is responsible for regular tracking by using optical about 35,800 km above the surface. The regular monitoring (passive and active) and radar systems. This service and cataloguing of debris through the Space Surveillance requires orbit determination function and maintenance of and Tracking (SST) systems helps to identify and prevent a catalogue. SST requires access to a network of sensors possible collisions with operational infrastructure. The implying real-time data acquisition and processing (Silha majority of observation data comes from radar and optical et al., 2019). passive sensors but inclusion of the Satellite Laser Ranging (SLR) systems to the observations of non-active satellites 1.2. Optical networks and single systems and upper stages is also being considered (Shappirio et al., 2016; Konacki et al., 2016). The primary source of orbital elements data for cata- The research of space debris investigates the popula- logued space debris is the Space Surveillance Network tion’s dynamical (e.g. orbital elements) and physical prop- (SSN). The SSN consists of dozens ground-based radar erties (e.g. surface material). It covers wide range of topics and optical sensors and one space-based optical sensor including the survey and cataloguing (Schildknecht et al., (Raley et al., 2016; Abbasi et al., 2019). It covers all orbital 2004; Molotov et al., 2008; Fiedler et al., 2019), attitude regions, from LEO up to High Earth Orbits (HEO), and its determination (e.g. through light curves) (Williams, 1979; catalogue contains the mean osculating elements in a form Santoni et al., 2013) to support the debris mitigation efforts of TLE (Two-Line Elements) publicly available at (Liou et al., 2010; Forshaw et al., 2017; Wang et al., 2018) (Network, 2019). and anomalous behaviour of the object (Slatton and The largest civilian network performing the SST func- Mckissock, 2017), deals with the models of the spatial dis- tion is the International Scientific Optical Network (ISON) tribution for small populations (from lm to cm) (Krisko operated by the Keldych Institute of Applied Mathematics, et al., 2015) and analyzes the surface properties of the Russian Academy of Sciences, Russia. There are more than object (Vananti et al., 2017; Cardona et al., 2016; Lu three dozen of observation facilities worldwide contribut- et al., 2017). ing to the ISON network (Molotov et al., 2008, 2017). Sev- In recent years several European countries increased eral other networks perform the SST functionality their efforts toward partial independence of SST capabili- including: Russian network of Automated Warning System ties (e.g. observations of GEO population) from the inter- on Hazardous Situations in Outer Space (ASPOS OKP) national partners, e.g. USA and Russian Federation. These center (Agapov et al., 2018), SMARTNET (Fiedler et al., efforts can be demonstrated through the establishment of 2019) and OWL (Park et al., 2018). European Space Agency’s (ESA’s) SSA programme with A single sensor is not able to cover any of the popula- a SST segment addressing technology developments for tions from LEO up to HEO completely and is usually used monitoring space debris. A part of the ESA SST is the to acquire statistical information about a specific orbital Coordination Expert Center which will be responsible for region by using sky surveys, or to acquire scientific data the interfaces between heterogeneous sensors and the cata- for a specific object. Well established sensors are, for exam- loguing function of the SST segment (Jilete et al., 2019; ple, ESA OGS (Spain) (Schildknecht et al., 2004) and Silha et al., 2017). Additionally, in 2015, the European NASA MODEST (Chile) (Seitzer et al., 2004) which both Commission established its own EU SST Support Frame- dedicate their observation program to the continuous sur- work governed through the EU SST consortium which veys of the GEO ring, or ZIMLAT (Switzerland) system of now consists of eight EU countries (Morand et al., 2018). the Astronomical Institute of the University of Bern Any effort to perform SST functions require a sufficient (AIUB) used for optical observations of debris and Near network of sensors, both radar and optical, in order to get Earth Asteroids (NEA) (Silha et al., 2018). This system also a wide coverage, suitable frequency of observations per cooperates with the aforementioned networks such as object and continuous data flow into the system. Slovak ISON and SMARTNET to which ZIMLAT has estab- Republic, as a member of EU and prospectively future lished interfaces. member of ESA, expressed its interest to participate in the European SST programs, as well in space debris 1.3. Data products research, by focusing on astrometric and photometric data acquisition with optical passive sensors (Silha et al., 2019). As for the SST applications, the optical measurements provide several different products. The most important 1.1. Optical measurements for the maintenance of a catalogue and monitoring of the system’s performance are the astrometric measurements There are two major observations strategies recognized which contain the relative position of the object compared for optical passive observations of space debris. Optical to the star background. The astrometric measurements are surveys aim to discover new objects for cataloguing or to usually provided in spherical equatorial coordinates with get statistical information like the object’s brightness distri- reference epoch in J2000. The data format is usually Con- bution or orbital plane. Tracking (follow-up) observations sultative Committee for Space Data Systems (CCSDS) are carried out for orbit determination and debris research. Tracking Data Message (TDM) format (The Consultative 2020 J. Sˇ ilha et al. / Advances in Space Research 65 (2020) 2018–2035 Committee for Space Data Systems, 2017) or Minor Planet (Schildknecht et al., 2004). The presented system is a New- Center (MPC) format (MPC, 2019a,b). tonian design telescope with a very thin parabolic mirror Photometry is performed in order to acquire informa- with diameter of 700 mm from Alluna optics with sup- tion about physical characteristics of an object. One can ported by gravity actuator. The focal length of the system study the rotation properties of an object through the light is 2962.0 mm. The CCD sensor is the FLI Proline PL1001 curves, method often used in minor planet domain (Pravec Grade 1 CCD camera with 1024 Â 1024 pixels and 24 lm et al., 2005; MMT, 2019; Pontieu, 1997; Silha et al., 2018). pixel size which results in an effective field-of-view (FoV) Light curve is a consecutive series of brightness measure- of 28:50 Â 28:50 and effective iFoV of 1:6700=pixel.