Minor Planet 2008 Ed69 and the Kappa Cygnid Meteor Shower
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Metal Species and Meteor Activity 5 Discussion J
Atmos. Chem. Phys. Discuss., 9, 18705–18726, 2009 Atmospheric www.atmos-chem-phys-discuss.net/9/18705/2009/ Chemistry ACPD © Author(s) 2009. This work is distributed under and Physics 9, 18705–18726, 2009 the Creative Commons Attribution 3.0 License. Discussions This discussion paper is/has been under review for the journal Atmospheric Chemistry Metal species and and Physics (ACP). Please refer to the corresponding final paper in ACP if available. meteor activity J. Correira et al. Title Page Metal concentrations in the upper Abstract Introduction atmosphere during meteor showers Conclusions References J. Correira1,*, A. C. Aikin1, J. M. Grebowsky2, and J. P. Burrows3 Tables Figures 1 The Catholic University of America, Institute for Astrophysics and Computational Sciences J I Department of Physics, Washington, DC 20064, USA 2 NASA Goddard Space Flight Center, Code 695, Greenbelt, MD 20771, USA J I 3Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany Back Close *now at: Computational Physics, Inc., Springfield, Virginia, USA Full Screen / Esc Received: 30 June 2009 – Accepted: 10 August 2009 – Published: 10 September 2009 Correspondence to: J. Correira ([email protected]) Printer-friendly Version Published by Copernicus Publications on behalf of the European Geosciences Union. Interactive Discussion 18705 Abstract ACPD Using the nadir-viewing Global Ozone Measuring Experiment (GOME) UV/VIS spec- trometer on the ERS-2 satellite, we investigate short term variations in the vertical mag- 9, 18705–18726, 2009 nesium column densities in the atmosphere and any connection to possible enhanced 5 mass deposition during a meteor shower. Time-dependent mass influx rates are de- Metal species and rived for all the major meteor showers using published estimates of mass density and meteor activity temporal profiles of meteor showers. -
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A&A 598, A40 (2017) Astronomy DOI: 10.1051/0004-6361/201629659 & c ESO 2017 Astrophysics Separation and confirmation of showers? L. Neslušan1 and M. Hajduková, Jr.2 1 Astronomical Institute, Slovak Academy of Sciences, 05960 Tatranska Lomnica, Slovak Republic e-mail: [email protected] 2 Astronomical Institute, Slovak Academy of Sciences, Dubravska cesta 9, 84504 Bratislava, Slovak Republic e-mail: [email protected] Received 6 September 2016 / Accepted 30 October 2016 ABSTRACT Aims. Using IAU MDC photographic, IAU MDC CAMS video, SonotaCo video, and EDMOND video databases, we aim to separate all provable annual meteor showers from each of these databases. We intend to reveal the problems inherent in this procedure and answer the question whether the databases are complete and the methods of separation used are reliable. We aim to evaluate the statistical significance of each separated shower. In this respect, we intend to give a list of reliably separated showers rather than a list of the maximum possible number of showers. Methods. To separate the showers, we simultaneously used two methods. The use of two methods enables us to compare their results, and this can indicate the reliability of the methods. To evaluate the statistical significance, we suggest a new method based on the ideas of the break-point method. Results. We give a compilation of the showers from all four databases using both methods. Using the first (second) method, we separated 107 (133) showers, which are in at least one of the databases used. These relatively low numbers are a consequence of discarding any candidate shower with a poor statistical significance. -
Guide to the Extended Versions of MPC Data Files Based on the MPCORB Format
Guide to the Extended Versions of MPC Data Files Based on the MPCORB Format Last updated: 2016/04/19 by J.L. Galache Introduction The Minor Planet Center (MPC) has been providing the orbits of minor planets in the form of a file, MPCORB.DAT, since the mid '90s (1990s, not 1890s). Back then there were only a few thousand known asteroids, compared to the several hundred thousand of today, so a flat text file was the appropriate way to circulate these data. It was also a time when most orbit computations were programmed in Fortran, which ingested data no other way. MPCORB.DAT has therefore always been, and continues to be, a fixed-width file (see Table 1 for the current format description1). In fact, all original data files available on the MPC website are flat text files (even the orbits files provided for planetarium-type/sky simulation software packages are simply text files of varying format2). In the early years of the 2010s, possibly due to the rising popularity of the scripting language Python amongst astronomers, and an increased interest from developers wanting to write asteroid-themed tools, requests were received to provide data in other, easier to parse formats, e.g., JSON, CSV, SQL, etc. At the same time, astronomers and developers alike wanted more information than was currently been provided in MPCORB.DAT; information that did exist on the MPC website in other, often hard to find, files. Here was an opportunity to add some new data to existing files, while also making them available in other formats. -
1 Resonant Kuiper Belt Objects
Resonant Kuiper Belt Objects - a Review Renu Malhotra Lunar and Planetary Laboratory, The University of Arizona, Tucson, AZ, USA Email: [email protected] Abstract Our understanding of the history of the solar system has undergone a revolution in recent years, owing to new theoretical insights into the origin of Pluto and the discovery of the Kuiper belt and its rich dynamical structure. The emerging picture of dramatic orbital migration of the planets driven by interaction with the primordial Kuiper belt is thought to have produced the final solar system architecture that we live in today. This paper gives a brief summary of this new view of our solar system's history, and reviews the astronomical evidence in the resonant populations of the Kuiper belt. Introduction Lying at the edge of the visible solar system, observational confirmation of the existence of the Kuiper belt came approximately a quarter-century ago with the discovery of the distant minor planet (15760) Albion (formerly 1992 QB1, Jewitt & Luu 1993). With the clarity of hindsight, we now recognize that Pluto was the first discovered member of the Kuiper belt. The current census of the Kuiper belt includes more than 2000 minor planets at heliocentric distances between ~30 au and ~50 au. Their orbital distribution reveals a rich dynamical structure shaped by the gravitational perturbations of the giant planets, particularly Neptune. Theoretical analysis of these structures has revealed a remarkable dynamic history of the solar system. The story is as follows (see Fernandez & Ip 1984, Malhotra 1993, Malhotra 1995, Fernandez & Ip 1996, and many subsequent works). -
The Orbital Distribution of Near-Earth Objects Inside Earth’S Orbit
Icarus 217 (2012) 355–366 Contents lists available at SciVerse ScienceDirect Icarus journal homepage: www.elsevier.com/locate/icarus The orbital distribution of Near-Earth Objects inside Earth’s orbit ⇑ Sarah Greenstreet a, , Henry Ngo a,b, Brett Gladman a a Department of Physics & Astronomy, 6224 Agricultural Road, University of British Columbia, Vancouver, British Columbia, Canada b Department of Physics, Engineering Physics, and Astronomy, 99 University Avenue, Queen’s University, Kingston, Ontario, Canada article info abstract Article history: Canada’s Near-Earth Object Surveillance Satellite (NEOSSat), set to launch in early 2012, will search for Received 17 August 2011 and track Near-Earth Objects (NEOs), tuning its search to best detect objects with a < 1.0 AU. In order Revised 8 November 2011 to construct an optimal pointing strategy for NEOSSat, we needed more detailed information in the Accepted 9 November 2011 a < 1.0 AU region than the best current model (Bottke, W.F., Morbidelli, A., Jedicke, R., Petit, J.M., Levison, Available online 28 November 2011 H.F., Michel, P., Metcalfe, T.S. [2002]. Icarus 156, 399–433) provides. We present here the NEOSSat-1.0 NEO orbital distribution model with larger statistics that permit finer resolution and less uncertainty, Keywords: especially in the a < 1.0 AU region. We find that Amors = 30.1 ± 0.8%, Apollos = 63.3 ± 0.4%, Atens = Near-Earth Objects 5.0 ± 0.3%, Atiras (0.718 < Q < 0.983 AU) = 1.38 ± 0.04%, and Vatiras (0.307 < Q < 0.718 AU) = 0.22 ± 0.03% Celestial mechanics Impact processes of the steady-state NEO population. -
The Minor Planets
The Minor Planets Swinburne Astronomy Online 3D PDF c SAO 2012 The Minor Planets c Swinburne Astronomy Online 2012 1 Description 1.1 Minor planets Our view of the Solar System has changed dramatically over the past 15 years with the discovery of new classes of small bodies. Mi- nor planets are another name for asteroids, or celestial bodies that orbit the Sun that are not otherwise classed as planets or comets. Generally, minor planets are relatively small rocky bodies, while comets are icy bodies that become active when their orbits carry them close to the Sun. (An \active" comet exhibits a large coma and a long tail.) The minor planets can be classified by their orbital characteristics. In this 3D PDF, we have included 5 classes of minor planets: (1) the Near Earth Asteroids (NEAs), (2) the main belt asteroids, (3) the Trojan asteroids of Jupiter, (4) the Centaurs, and (5) the Trans-Neptunian Objects (TNOs). The dataset used comes from the Minor Planets Centre. As of 19 November 2012, there were 9,346 NEAs (comprising 732 Atens, 4686 Apollos and 3928 Amors); 581,613 main belt asteroids; 5,407 jovian Trojans; 330 Centaurs; and 1,150 TNOs. (Note than in this 3D PDF, we have only included 11,678 main belt asteroids.) • The Near Earth Asteroids have perihelion distances of less than 1.3 AU, and include the following sub-classes: { Atens have aphelion distances greater than 0.983 AU, and semi-major axes less than 1 AU { Apollos have perihelion distances less than 1.017 AU, and semi-major axes greater than 1 AU { Amors have perihelion distances between 1.017 and 1.3 AU and semi-major axes greater than 1 AU • The main belt asteroids reside between the orbits of Mars and Jupiter, with most of the asteroids orbiting between about 2.1 AU and 3.3 AU. -
17. a Working List of Meteor Streams
PRECEDING PAGE BLANK NOT FILMED. 17. A Working List of Meteor Streams ALLAN F. COOK Smithsonian Astrophysical Observatory Cambridge, Massachusetts HIS WORKING LIST which starts on the next is convinced do exist. It is perhaps still too corn- page has been compiled from the following prehensive in that there arc six streams with sources: activity near the threshold of detection by pho- tography not related to any known comet and (1) A selection by myself (Cook, 1973) from not sho_m to be active for as long as a decade. a list by Lindblad (1971a), which he found Unless activity can be confirmed in earlier or from a computer search among 2401 orbits of later years or unless an associated comet ap- meteors photographed by the Harvard Super- pears, these streams should probably be dropped Sehmidt cameras in New Mexico (McCrosky and from a later version of this list. The author will Posen, 1961) be much more receptive to suggestions for dele- (2) Five additional radiants found by tions from this list than he will be to suggestions McCrosky and Posen (1959) by a visual search for additions I;o it. Clear evidence that the thresh- among the radiants and velocities of the same old for visual detection of a stream has been 2401 meteors passed (as in the case of the June Lyrids) should (3) A further visual search among these qualify it for permanent inclusion. radiants and velocities by Cook, Lindblad, A comment on the matching sets of orbits is Marsden, McCrosky, and Posen (1973) in order. It is the directions of perihelion that (4) A computer search -
Meteor Shower Detection with Density-Based Clustering
Meteor Shower Detection with Density-Based Clustering Glenn Sugar1*, Althea Moorhead2, Peter Brown3, and William Cooke2 1Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305 2NASA Meteoroid Environment Office, Marshall Space Flight Center, Huntsville, AL, 35812 3Department of Physics and Astronomy, The University of Western Ontario, London N6A3K7, Canada *Corresponding author, E-mail: [email protected] Abstract We present a new method to detect meteor showers using the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN; Ester et al. 1996). DBSCAN is a modern cluster detection algorithm that is well suited to the problem of extracting meteor showers from all-sky camera data because of its ability to efficiently extract clusters of different shapes and sizes from large datasets. We apply this shower detection algorithm on a dataset that contains 25,885 meteor trajectories and orbits obtained from the NASA All-Sky Fireball Network and the Southern Ontario Meteor Network (SOMN). Using a distance metric based on solar longitude, geocentric velocity, and Sun-centered ecliptic radiant, we find 25 strong cluster detections and 6 weak detections in the data, all of which are good matches to known showers. We include measurement errors in our analysis to quantify the reliability of cluster occurrence and the probability that each meteor belongs to a given cluster. We validate our method through false positive/negative analysis and with a comparison to an established shower detection algorithm. 1. Introduction A meteor shower and its stream is implicitly defined to be a group of meteoroids moving in similar orbits sharing a common parentage. -
Meteor Showers # 11.Pptx
20-05-31 Meteor Showers Adolf Vollmy Sources of Meteors • Comets • Asteroids • Reentering debris C/2019 Y4 Atlas Brett Hardy 1 20-05-31 Terminology • Meteoroid • Meteor • Meteorite • Fireball • Bolide • Sporadic • Meteor Shower • Meteor Storm Meteors in Our Atmosphere • Mesosphere • Atmospheric heating • Radiant • Zenithal Hourly Rate (ZHR) 2 20-05-31 Equipment Lounge chair Blanket or sleeping bag Hot beverage Bug repellant - ThermaCELL Camera & tripod Tracking Viewing Considerations • Preparation ! Locate constellation ! Take a nap and set alarm ! Practice photography • Location: dark & unobstructed • Time: midnight to dawn https://earthsky.org/astronomy- essentials/earthskys-meteor-shower- guide https://www.amsmeteors.org/meteor- showers/meteor-shower-calendar/ • Where to look: 50° up & 45-60° from radiant • Challenges: fatigue, cold, insects, Moon • Recording observations ! Sky map, pen, red light & clipboard ! Time, position & location ! Recording device & time piece • Binoculars Getty 3 20-05-31 Meteor Showers • 112 confirmed meteor showers • 695 awaiting confirmation • Naming Convention ! C/2019 Y4 (Atlas) ! (3200) Phaethon June Tau Herculids (m) Parent body: 73P/Schwassmann-Wachmann Peak: June 2 – ZHR = 3 Slow moving – 15 km/s Moon: Waning Gibbous June Bootids (m) Parent body: 7p/Pons-Winnecke Peak: June 27– ZHR = variable Slow moving – 14 km/s Moon: Waxing Crescent Perseid by Brian Colville 4 20-05-31 July Delta Aquarids Parent body: 96P/Machholz Peak: July 28 – ZHR = 20 Intermediate moving – 41 km/s Moon: Waxing Gibbous Alpha -
Col-OSSOS: Colors of the Interstellar Planetesimal 1I/Oumuamua
DRAFT VERSION DECEMBER 7, 2017 Typeset using LATEX twocolumn style in AASTeX61 COL-OSSOS: COLORS OF THE INTERSTELLAR PLANETESIMAL 1I/‘OUMUAMUA MICHELE T. BANNISTER,1 MEGAN E. SCHWAMB,2 WESLEY C. FRASER,1 MICHAEL MARSSET,1 ALAN FITZSIMMONS,1 SUSAN D. BENECCHI,3 PEDRO LACERDA,1 ROSEMARY E. PIKE,4 J. J. KAVELAARS,5, 6 ADAM B. SMITH,2 SUNNY O. STEWART,2 SHIANG-YU WANG,7 AND MATTHEW J. LEHNER7, 8, 9 1Astrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast, Belfast BT7 1NN, United Kingdom 2Gemini Observatory, Northern Operations Center, 670 North A’ohoku Place, Hilo, HI 96720, USA 3Planetary Science Institute, 1700 East Fort Lowell, Suite 106, Tucson, AZ 85719, USA 4Institute for Astronomy and Astrophysics, Academia Sinica; 11F AS/NTU, National Taiwan University, 1 Roosevelt Rd., Sec. 4, Taipei 10617, Taiwan 5Herzberg Astronomy and Astrophysics Research Centre, National Research Council of Canada, 5071 West Saanich Rd, Victoria, British Columbia V9E 2E7, Canada 6Department of Physics and Astronomy, University of Victoria, Elliott Building, 3800 Finnerty Rd, Victoria, BC V8P 5C2, Canada 7Institute of Astronomy and Astrophysics, Academia Sinica; 11F of AS/NTU Astronomy-Mathematics Building, Nr. 1 Roosevelt Rd., Sec. 4, Taipei 10617, Taiwan 8Department of Physics and Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA 19104, USA 9Harvard-Smithsonian Center for Astrophysics, 60 Garden St., Cambridge, MA 02138, USA (Received 2017 November 16; Revised 2017 December 4; Accepted 2017 December 6) Submitted to ApJL ABSTRACT The recent discovery by Pan-STARRS1 of 1I/2017 U1 (‘Oumuamua), on an unbound and hyperbolic orbit, offers a rare oppor- tunity to explore the planetary formation processes of other stars, and the effect of the interstellar environment on a planetesimal surface. -
Why Pluto Is Not a Planet Anymore Or How Astronomical Objects Get Named
3 Why Pluto Is Not a Planet Anymore or How Astronomical Objects Get Named Sethanne Howard USNO retired Abstract Everywhere I go people ask me why Pluto was kicked out of the Solar System. Poor Pluto, 76 years a planet and then summarily dismissed. The answer is not too complicated. It starts with the question how are astronomical objects named or classified; asks who is responsible for this; and ends with international treaties. Ultimately we learn that it makes sense to demote Pluto. Catalogs and Names WHO IS RESPONSIBLE for naming and classifying astronomical objects? The answer varies slightly with the object, and history plays an important part. Let us start with the stars. Most of the bright stars visible to the naked eye were named centuries ago. They generally have kept their old- fashioned names. Betelgeuse is just such an example. It is the eighth brightest star in the northern sky. The star’s name is thought to be derived ,”Yad al-Jauzā' meaning “the Hand of al-Jauzā يد الجوزاء from the Arabic i.e., Orion, with mistransliteration into Medieval Latin leading to the first character y being misread as a b. Betelgeuse is its historical name. The star is also known by its Bayer designation − ∝ Orionis. A Bayeri designation is a stellar designation in which a specific star is identified by a Greek letter followed by the genitive form of its parent constellation’s Latin name. The original list of Bayer designations contained 1,564 stars. The Bayer designation typically assigns the letter alpha to the brightest star in the constellation and moves through the Greek alphabet, with each letter representing the next fainter star. -
Ice Ontnos: Focus on 136108 Haumea
Ice onTNOs: Focus on 136108 Haumea C. Dumas Collaborators: A. Alvarez, A. Barucci, C. deBergh, B. Carry, A. Guilbert, D. Hestroffer, P. Lacerda, F. deMeo, F. Merlin, C. Snodgrass, P. Vernazza, … Haumea Pluto (dwarf planets) DistribuTon of TNOs Largest TNOs Icy bodies in the OPSII context • Reservoir of volales in the solar system (H2O, N2, CH4, CO, CO2, C2H6, NH3OH, etc) • Small bodies populaon more hydrated than originally pictured – Main-belt comets (Hsieh and JewiZ 2006) – Themis asteroids family (Campins et al. 2010, Rivkin and Emery 2010) • Transport of water to the inner terrestrial planets (e.g. talk by Paul Hartogh) Paranal Observatory 6 SINFONI at UT4 7 SINFONI + NACO at UT4 8 SINFONI = MACAO + SPIFFI (SINFONI=Spectrograph for INtegral Field Observations in the Near Infrared) • AO SYSTEM: MACAO (Multi-Application Curvature Adaptive Optics): – Similar to UTs AO system for VLTI – 60 elements curvature sensing bimorph mirror – NGS or LGS – Developed by ESO • NEAR-IR SPECTRO: SPIFFI (SPectrometer for Infrared Faint Field Imaging): – 3-D spectrograph, 32 image slices, 1-2.5µm – Developed by MPE:Max Planck Institute for Extraterrestrial Physics + NOVA: Netherlands Research School for Astronomy SINFONI - Main characteristics • Location UT4 Cassegrain • Wavelength range 1-2.5µm • Detector 2048 x 2048 HAWAII array • Gratings J,H,K,H+K • Spectral resolution 1500 (H+K-filter) to 4000 (K-band) (outside OH lines) • Limiting magnitude (0.1”/spaxel) K~18.2, H+K~19.2 in hr, SNR~10 • FoV sampling 32 slices • Spatial resolution 0.25”/slice (no-AO), 0.1”(AO), 0.025” (AO) • Resulting FoV 8”x8”, 3”x3”, 0.8”x0.8” • Modes noAO, NGS-AO, LGS-AO SINFONI - IFS Principles SINFONI - IFS Principles (Cont’d) SINFONI - products Reconstructed image PSF spectrum H+K TNOs spectroscopy Orcus (Carry et al.