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8 results for “Starlink”
Plaskett 1.8 metre Observations of Starlink Satellites: Supplemental Information
<p>Release of GitHub repo in conjunction with the publication of "Plaskett 1.8 metre Observations of Starlink Satellites" in The Astronomical Journal, also available at arXiv: 2109.12494. The related paper presents observations of 23 Starlink satellites in the g' bandpass, obtained from the Dominion Astrophysical Observatory's Plaskett 1.8 metre telescope.</p>
Global Meteor Network observations of Starlink re-entry 2022-02-10
<p>This dataset contains video observations by some stations of the Global Meteor Network of the re-entry of the satellite StarLink-1668 above Spain on 2022-02-10 around 19:50 UTC.</p> <p>There are several types of files:</p> <ul> <li>FF files: these are 10.24 second videos compressed in the four-frame format. They are just FITS files with four frames, containing per pixel 1) the maximum value over 256 frames 2) the frame nr (between 0 and 255) where the maximum occurred 3) the mean value of all 256 frames and 4) the RMS of the 256 values.</li> <li>FR files: compressed video recordings of detected fireballs. These can be read with the RMS software.</li> <li>MP4 files: rendered movies of combined FF and FR files for selected stations.</li> <li>Platepar-files: these contain astrometry corresponding to the FITS files. These can be interpreted by the RMS software.</li> <li>ECSV files: these contain manually picked points (with SkyFit2.py from RMS) along the track of the reentry. For each point, time and apparent coordinates are recorded. These files can be interpreted by the WesternMeteorPyLib trajectory solver.</li> <li>trajectory-points.txt: solutions from the trajectory solver.</li> <li>reentry-map-v2.png: a rendered map of the trajectory (made in QGIS).</li> </ul> <p>The files can be processed with the software in https://github.com/CroatianMeteorNetwork/RMS and https://github.com/wmpg/WesternMeteorPyLib.</p>
Space Weather Environment During the SpaceX Starlink Satellite Loss in February 2022
<p>All data used in support of the journal article of the same name, including:</p> <ul> <li>operational NCEP/SWPC Whole Atmosphere Model (WAM), NRLMSISE-00, NRLMSIS 2.0, and DTM2020 fixed-height output of neutral atmospheric density in NetCDF format at ten-minute cadence</li> <li>observed and forecasted solar wind and geomagnetic space weather drivers in XML format</li> <li>NOAA Space Weather Prediction Center text advisory of geomagnetic activity</li> <li>select post-launch tracks (minimum of lat/lon/alt in one-minute cadence) of Starlink satellites for three launches: Group 4-4, December 2021; Group 4-5, January 2021; and Group 4-7, February 2021</li> </ul>
Data for publication "The Thermosphere was Poorly Predictable not Only During but also Before and After the Starlink Storm on 3-4 February 2022"
<p>This dataset are used to plot figures in the article "The Thermosphere was Poorly Predictable not Only During but also Before and After the Starlink Storm on February 3-4, 2022". Data files in CSV (comma-separated values) format contain modeling and observational values. Modeling values obtained from the Field Line Interhemispheric Plasma (FLIP) model and Arctic MERRA-2 Wind model. Observational values consist the ionosonde measurments, planetary geomagnetic (Kp) and solar activity indices (F10.7), variations of the solar wind parameters. Data files contain data for the period from February 1 to 9, 2022 and from December 21 to 23, 2021. </p>
CARL-W: a Testbed for Empirical Analyses of 5G and Starlink Performance
<p>The deployment of 5G networks, including 5G Non-Public Networks (5G-NPNs) for private use in several verticals, is rapidly taking place worldwide. However, deploying these networks in under-served areas, where there may be limited Internet access or backhauling capabilities, presents challenges. To address these challenges, there is a growing interest in using Low Earth Orbit (LEO) satellites, such as SpaceX's Starlink, which can provide high-throughput and low-latency Internet access via dense satellite constellations.</p> <p>In this paper, we present CARL-W, the Wireless module of the Communications Advanced Research Laboratory (CARL) at Karlstad University, which combines a 5G-NPN and a Starlink deployment. CARL-W serves as a platform for empirical analyses on both systems, thus contributing towards the study of their possible integration. In particular, we outline the CARL-W experimentation framework and provide access to the CARL-W visualization and data exporting platform. We also open-source a 1-month Starlink dataset, facilitating further analyses of this relatively new technology.</p>
Observed properties of Starlink satellites
<p>Tabulated measurements of Starlink satellites observed by the Multi-site All-Sky CAmeRA (MASCARA) instrument. This was created by Peter Breslin during his master thesis at Leiden University. Thesis title: 'Mega-constellation satellites: Assessing their interference on ground-based astronomy'.</p>
Starlink satellite constellation: simulating its impact on optical observatories
<p>SEA Icosaedro simulations</p> <p>May and June 2020</p> <p>For the moment, all of them are based on the constellation profile starlink.dat, that considers some 12 thousand satellites.</p> <p>File: bv2020_microsatelites.pdf, report published in the Butlletin of the Spanish Astronomical Society (in Spanish language)</p> <p><br> All these tests include a photometric model of intermediate complexity, that takes into account distance to the observatory, phase angle, extinction (0.12 mag/airmass was selected for this bunch of simulations) and geometry of the shadow cone of the Earth. This model is very similar to that of Hainaut & Williams (2020) and our results may be directly compared to theirs.</p> <p>Affectation depends on the observatory latitude, but not on longitude. However, the main factors are the width of the field of view (FOV) and integration time (T). We performed tests for several different observatories available to the SEA community and this certainly illustrates latitude effects, but our results underline the strong importance of FOV and T and they are useful mainly to analyse these factors.</p> <p>Observatories and latitudes (degrees):<br> Calar Alto +037<br> Javalambre +040<br> La Palma +029<br> Montsec +042<br> Paranal -024</p> <p>For each observatory (i.e., each latitude) we perform simulations of two kinds:</p> <p>1) All-sky simulations:</p> <p>Counting the number of satellites visible as a function of time along one complete night</p> <p>--> For five different Sun declinations: +023, +012, +000, -012, -023 degrees</p> <p>--> For two different elevations over the horizon: satelites visible above +000 deg, and above +030 degrees</p> <p>So, in total, ten simulations are done at each location.</p> <p>File naming conventions:</p> <p>S_+LLL_+DDD_+HHH_NNN.xxx</p> <p>S: means "Starlink"<br> +LLL: observatory latitude, degrees<br> +DDD: Sun declination, degrees<br> +HHH: Elevation over which satellites are counted, degrees<br> NNN: Number of individual interations that are averaged out (050 in all cases)<br> xxx: Type of file:</p> <p>xxx = jpg, ps, pdf, graphs with number of visible satellites as a function of time, time is measured from the previous noon and is given in mintutes, vertical lines indicate the instants of beginning and end of civil, nautical and astronomical twilights, and midnight.</p> <p>xxx = mp4, animation with the apparent magnitude histogram of visible satellites at one minute steps; background colour means: white in daylight, grey in civil twilight, light blue in nautical twilighg, deep blue in astronomical twilight, black during astronomical night</p> <p>xxx = dat, files with very detailed information about the simulation, not included here, but may be provided, with indications about their contents</p> <p>Example:</p> <p>S_+037_+012_+030_050.mp4</p> <p>S: Starlink<br> +037: Calar Alto latitude<br> +012: Solar declination intermediate north +12 degrees<br> +030: Counting satellites at 30 deg or more above horizon<br> 050: 50 simulations were averaged<br> mp4: Movie with the histogram of apparent magnitudes</p> <p><br> 2) Pointing-oriented simulations:</p> <p>We select a FOV in arcminutes and an integration time T in seconds. Then, five observing directions are predefined:</p> <p>N, S, E, W at 45 deg elevation, and zenith</p> <p>For the given latitude we select Solar declination (0, +23, -23) and, both fixed, we study the five fields of view for three different solar elevations: -12, -25, -37, both PM and AM.</p> <p>This means that for one given observatory (latitude, FOV, T), 5 x 3 x 3 x 2 = 90 configurations, see:</p> <p>5 pointing directions<br> 3 solar declinations<br> 3 solar elevations<br> 2 for am/pm conditions</p> <p>This produces quite a large amount of information that is organised in form of detailed files and summary tables.</p> <p>Detailed files are:</p> <p>P_+LLL_+DDD_+HHH_pm_+aaa_+hhh_FOVi_iTim_NCRO.dat<br> p_+LLL_+DDD_+HHH_pm_+aaa_+hhh_FOVi_iTim_NCRO.dat</p> <p>P: very detailed output, p: less detailed output<br> +LLL: observatory latitude<br> +DDD: Sun declination<br> +HHH: Sun elevation<br> pm = "pm" or "am"<br> +aaa: observation azimuth from the South (O = S; 90 = W, 180 = N, 270 = E)<br> +hhh: observation elevation (45 deg for NSEW, 90 deg for Z)<br> FOVi: field of view in arcminutes<br> iTim: integration time in seconds<br> NCRO: number of crossing (multiple shots are simulated until NCRO sat crossings are registered, or until 1000 shots have been simulated)</p> <p>Detailed files are probably intersting only for very technical analysis, so they are not included here, but they may be provided upon request.</p> <p>The main results are contained in pdf tables that are, hopefully, self-explaining.</p>
Starlink Latency and Downlink Throughput Measurement Dataset
<p>Please refer to `README.txt` for a description of this dataset.</p>
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