Planetary Nebula Associations with Star Clusters in the Andromeda Galaxy Yasmine Kahvaz [email protected]

Total Page:16

File Type:pdf, Size:1020Kb

Planetary Nebula Associations with Star Clusters in the Andromeda Galaxy Yasmine Kahvaz Kahvaz@Marshall.Edu Marshall University Marshall Digital Scholar Theses, Dissertations and Capstones 2016 Planetary Nebula Associations with Star Clusters in the Andromeda Galaxy Yasmine Kahvaz [email protected] Follow this and additional works at: http://mds.marshall.edu/etd Part of the Stars, Interstellar Medium and the Galaxy Commons Recommended Citation Kahvaz, Yasmine, "Planetary Nebula Associations with Star Clusters in the Andromeda Galaxy" (2016). Theses, Dissertations and Capstones. 1052. http://mds.marshall.edu/etd/1052 This Thesis is brought to you for free and open access by Marshall Digital Scholar. It has been accepted for inclusion in Theses, Dissertations and Capstones by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected], [email protected]. PLANETARY NEBULA ASSOCIATIONS WITH STAR CLUSTERS IN THE ANDROMEDA GALAXY A thesis submitted to the Graduate College of Marshall University In partial fulfillment of the requirements for the degree of Master of Physical and Applied Science in Physics by Yasmine Kahvaz Approved by Dr. Timothy Hamilton, Committee Chairperson Dr. Maria Babiuc Hamilton Dr. Ralph Oberly Marshall University Dec 2016 ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Timothy Hamilton at Shawnee State University, for his guidance, advice and support for all the aspects of this project. My committee, including Dr. Timothy Hamilton, Dr. Maria Babiuc Hamilton, and Dr. Ralph Oberly, provided a review of this thesis. This research has made use of the following databases: The Local Group Survey (low- ell.edu/users/massey/lgsurvey.html) and the PHAT Survey (archive.stsci.edu/prepds/phat/). I would also like to thank the entire faculty of the Physics Department of Marshall University for being there for me every step of the way through my undergrad and graduate degree years. iii CONTENTS ListofFigures..................................................................... vi ListofTables...................................................................... vii Abstract.......................................................................... ix Chapter1 THEINTRODUCTION ................................................ 1 1.1 Background .............................................................. 1 1.2 Analyzing Stars With the Hertzprung-Russell Diagram . 2 1.3 OverviewofStellarEvolution............................................... 3 1.4 Planetary Nebula Formation . 5 1.5 Associations Between Planetary Nebulae and Star Clusters . 6 1.6 Previous Searches for Planetary Nebula—Cluster Associations . 6 Chapter2 DATASETS .......................................................... 10 2.1 LocalGroupSurvey ....................................................... 10 2.2 Panchromatic Hubble Andromeda Treasury . 10 Chapter3 Methods.............................................................. 14 3.1 ObjectIdentification....................................................... 14 3.1.1 Distinguishing PNe From Stars . 14 3.1.2 FindingStellarClusters .............................................. 16 3.2 Photometry .............................................................. 17 3.2.1 F475W-[OIII] magnitude relation . 20 3.2.2 ChanceAlignments .................................................. 21 Chapter4 RESULTS ............................................................ 23 4.1 Planetary Nebula Luminosity Function . 23 4.2 PN609 .................................................................. 23 4.3 PN457 .................................................................. 26 iv Chapter 5 DISCUSSION AND CONCLUSION . 33 5.1 Discussion................................................................ 33 5.1.1 PN609............................................................. 34 5.1.2 PN457............................................................. 34 5.2 FutureWork.............................................................. 36 5.3 Conclusions............................................................... 36 Appendix A LIST OF PN CANDIDATES FOUND IN M31 . 38 Appendix B TABLE OF PN PARAMETERS . 59 Appendix C Letter from Institutional Research Board . 73 References ........................................................................ 74 Vita.............................................................................. 76 v LIST OF FIGURES 1.1 Hertzprung-Russell diagram of a star cluster . 3 1.2 H-R diagram of PN progenitor star evolution . 9 2.1 Overall area of M31 covered by the Local Group Survey . 11 2.2 Linear relationship between m5007 and F475W magnitudes . 13 3.1 Area of M31 covered by the Local Group Survey images . 15 3.2 PNcandidatedistributioninM31 ............................................ 17 3.3 PHAT survey layout of the 23 image bricks on M31 . 18 4.1 The luminosity function of the PNe candidate catalog . 24 4.2 TheluminosityfunctionofPNemodule ....................................... 24 4.3 The logarithmic luminosity function of PNe candidate catalog . 25 4.4 The logarithmic luminosity function of PNe module. 25 4.5 PHAT view broad-band of PN609 and its cluster . 26 4.6 LGS emission-line view of PN 609 . 27 4.7 Color-mag diagram of region around PN 609 . 28 4.8 PN609andcluster......................................................... 29 4.9 PN 609 and cluster in F475W filter of PHAT image. 29 4.10 PN 457 in LGS images . 30 4.11 PN 457 and clusters in PHAT images . 31 4.12 Color-mag diagram for PN 457 . 32 5.1 Distribution of open clusters in only 6 fields of M31 . 35 vi LIST OF TABLES 3.1 Local Group Survey Images Used in Making of Color Images . 16 3.2 PHAT Survey Images Used to Find PN/OC Association Candidates . 22 4.1 PN/OC Association Candidates . 23 4.2 PN609 Parameters . 26 4.3 PN457 Parameters . 27 A.1 PNCandidateCoordinates .................................................. 39 A.1 PNCandidateCoordinates .................................................. 40 A.1 PNCandidateCoordinates .................................................. 41 A.1 PNCandidateCoordinates .................................................. 42 A.1 PNCandidateCoordinates .................................................. 43 A.1 PNCandidateCoordinates .................................................. 44 A.1 PNCandidateCoordinates .................................................. 45 A.1 PNCandidateCoordinates .................................................. 46 A.1 PNCandidateCoordinates .................................................. 47 A.1 PNCandidateCoordinates .................................................. 48 A.2 PNCandidateDescriptions.................................................. 49 A.2 PNCandidateDescriptions.................................................. 50 A.2 PNCandidateDescriptions.................................................. 51 A.2 PNCandidateDescriptions.................................................. 52 A.2 PNCandidateDescriptions.................................................. 53 A.2 PNCandidateDescriptions.................................................. 54 A.2 PNCandidateDescriptions.................................................. 55 A.2 PNCandidateDescriptions.................................................. 56 A.2 PNCandidateDescriptions.................................................. 57 A.2 PNCandidateDescriptions.................................................. 58 vii B.1 PNCandidatePhotometry .................................................. 60 B.1 PNCandidatePhotometry .................................................. 61 B.1 PNCandidatePhotometry .................................................. 62 B.1 PNCandidatePhotometry .................................................. 63 B.1 PNCandidatePhotometry .................................................. 64 B.1 PNCandidatePhotometry .................................................. 65 B.1 PNCandidatePhotometry .................................................. 66 B.1 PNCandidatePhotometry .................................................. 67 B.1 PNCandidatePhotometry .................................................. 68 B.1 PNCandidatePhotometry .................................................. 69 B.1 PNCandidatePhotometry .................................................. 70 B.1 PNCandidatePhotometry .................................................. 71 B.1 PNCandidatePhotometry .................................................. 72 viii ABSTRACT The objective of this research is to find planetary nebulae (PNe) and star cluster associations in the Andromeda galaxy (M31). To identify PNe in M31, a red-green-blue image is obtained using 3 emission line filters of H↵, λ5007A˚ [OIII], and λλ6717, 6731A˚ [SII], using images from the Local Group Survey. By completing a visual search of the RGB images, 477 PN candidates are iden- tified. In order to find star clusters associated with the PN candidates, an RGB image is made using the Panchromatic Hubble Andromeda Treasury survey. Filter F814W is used as red and filter F475W is used as both the green and blue colors. Two PN/open cluster (OC) association candidates appear to be the best cases to focus on. In one of the cases, the PN candidates is not confirmed as a true PN. In the other case, the PN appears to be confirmed as a true PN and so there is a good chance that PN/OC association is true for this case. ix CHAPTER 1 THE INTRODUCTION 1.1 Background A planetary nebula (PN) is a gas cloud, often a spherical shell, ejected from the outer layers of an evolved star as its core is transforming into a white dwarf. Ultraviolet light from the
Recommended publications
  • Exploring Pulsars
    High-energy astrophysics Explore the PUL SAR menagerie Astronomers are discovering many strange properties of compact stellar objects called pulsars. Here’s how they fit together. by Victoria M. Kaspi f you browse through an astronomy book published 25 years ago, you’d likely assume that astronomers understood extremely dense objects called neutron stars fairly well. The spectacular Crab Nebula’s central body has been a “poster child” for these objects for years. This specific neutron star is a pulsar that I rotates roughly 30 times per second, emitting regular appar- ent pulsations in Earth’s direction through a sort of “light- house” effect as the star rotates. While these textbook descriptions aren’t incorrect, research over roughly the past decade has shown that the picture they portray is fundamentally incomplete. Astrono- mers know that the simple scenario where neutron stars are all born “Crab-like” is not true. Experts in the field could not have imagined the variety of neutron stars they’ve recently observed. We’ve found that bizarre objects repre- sent a significant fraction of the neutron star population. With names like magnetars, anomalous X-ray pulsars, soft gamma repeaters, rotating radio transients, and compact Long the pulsar poster child, central objects, these bodies bear properties radically differ- the Crab Nebula’s central object is a fast-spinning neutron star ent from those of the Crab pulsar. Just how large a fraction that emits jets of radiation at its they represent is still hotly debated, but it’s at least 10 per- magnetic axis. Astronomers cent and maybe even the majority.
    [Show full text]
  • 2.5 Dimensional Radiative Transfer Modeling of Proto-Planetary Nebula Dust Shells with 2-DUST
    PLANETARY NEBULAE: THEIR EVOLUTION AND ROLE IN THE UNIVERSE fA U Symposium, Vol. 209, 2003 S. Kwok, M. Dopita, and R. Sutherland, eds. 2.5 Dimensional Radiative Transfer Modeling of Proto-Planetary Nebula Dust Shells with 2-DUST Toshiya Ueta & Margaret Meixner Department of Astronomy, MC-221 , University of fllinois at Urbana-Champaign, Urbana, IL 61801, USA ueta@astro. uiuc.edu, [email protected]. edu Abstract. Our observing campaign of proto-planetary nebula (PPN) dust shells has shown that the structure formation in planetary nebu- lae (PNs) begins as early as the late asymptotic. giant branch (AGB) phase due to intrinsically axisymmetric superwind. We describe our latest numerical efforts with a multi-dimensional dust radiative transfer code, 2-DUST, in order to explain the apparent dichotomy of the PPN mor- phology at the mid-IR and optical, which originates most likely from the optical depth of the shell combined with the effect of inclination angle. 1. Axisymmetric PPN Shells and Single Density Distribution Model Since the PPN phase predates the period of final PN shaping due to interactions of the stellar winds, we can investigate the origin of the PN structure formation by observationally establishing the material distribution in the PPN shells, in which pristine fossil records of AGB mass loss histories are preserved in their benign circumstellar environment. Our mid-IR and optical imaging surveys of PPN candidates in the past several years (Meixner at al. 1999; Ueta et al. 2000) have revealed that (1) PPN shells are intrinsically axisymmetric most likely due to equatorially-enhanced superwind mass loss at the end of the AGB phase and (2) varying degrees of equatorial enhancement in superwind would result in different optical depths of the PPN shell, thereby heavily influencing the mid-IR and optical morphologies.
    [Show full text]
  • Planetary Nebulae Jacob Arnold AY230, Fall 2008
    Jacob Arnold Planetary Nebulae Jacob Arnold AY230, Fall 2008 1 PNe Formation Low mass stars (less than 8 M) will travel through the asymptotic giant branch (AGB) of the familiar HR-diagram. During this stage of evolution, energy generation is primarily relegated to a shell of helium just outside of the carbon-oxygen core. This thin shell of fusing He cannot expand against the outer layer of the star, and rapidly heats up while also quickly exhausting its reserves and transferring its head outwards. When the He is depleted, Hydrogen burning begins in a shell just a little farther out. Over time, helium builds up again, and very abruptly begins burning, leading to a shell-helium-flash (thermal pulse). During the thermal-pulse AGB phase, this process repeats itself, leading to mass loss at the extended outer envelope of the star. The pulsations extend the outer layers of the star, causing the temperature to drop below the condensation temperature for grain formation (Zijlstra 2006). Grains are driven off the star by radiation pressure, bringing gas with them through collisions. The mass loss from pulsating AGB stars is oftentimes referred to as a wind. For AGB stars, the surface gravity of the star is quite low, and wind speeds of ~10 km/s are more than sufficient to drive off mass. At some point, a super wind develops that removes the envelope entirely, a phenomenon not yet fully understood (Bernard-Salas 2003). The central, primarily carbon-oxygen core is thus exposed. These cores can have temperatures in the hundreds of thousands of Kelvin, leading to a very strong ionizing source.
    [Show full text]
  • Introduction to Astronomy from Darkness to Blazing Glory
    Introduction to Astronomy From Darkness to Blazing Glory Published by JAS Educational Publications Copyright Pending 2010 JAS Educational Publications All rights reserved. Including the right of reproduction in whole or in part in any form. Second Edition Author: Jeffrey Wright Scott Photographs and Diagrams: Credit NASA, Jet Propulsion Laboratory, USGS, NOAA, Aames Research Center JAS Educational Publications 2601 Oakdale Road, H2 P.O. Box 197 Modesto California 95355 1-888-586-6252 Website: http://.Introastro.com Printing by Minuteman Press, Berkley, California ISBN 978-0-9827200-0-4 1 Introduction to Astronomy From Darkness to Blazing Glory The moon Titan is in the forefront with the moon Tethys behind it. These are two of many of Saturn’s moons Credit: Cassini Imaging Team, ISS, JPL, ESA, NASA 2 Introduction to Astronomy Contents in Brief Chapter 1: Astronomy Basics: Pages 1 – 6 Workbook Pages 1 - 2 Chapter 2: Time: Pages 7 - 10 Workbook Pages 3 - 4 Chapter 3: Solar System Overview: Pages 11 - 14 Workbook Pages 5 - 8 Chapter 4: Our Sun: Pages 15 - 20 Workbook Pages 9 - 16 Chapter 5: The Terrestrial Planets: Page 21 - 39 Workbook Pages 17 - 36 Mercury: Pages 22 - 23 Venus: Pages 24 - 25 Earth: Pages 25 - 34 Mars: Pages 34 - 39 Chapter 6: Outer, Dwarf and Exoplanets Pages: 41-54 Workbook Pages 37 - 48 Jupiter: Pages 41 - 42 Saturn: Pages 42 - 44 Uranus: Pages 44 - 45 Neptune: Pages 45 - 46 Dwarf Planets, Plutoids and Exoplanets: Pages 47 -54 3 Chapter 7: The Moons: Pages: 55 - 66 Workbook Pages 49 - 56 Chapter 8: Rocks and Ice:
    [Show full text]
  • Lecture 3 - Minimum Mass Model of Solar Nebula
    Lecture 3 - Minimum mass model of solar nebula o Topics to be covered: o Composition and condensation o Surface density profile o Minimum mass of solar nebula PY4A01 Solar System Science Minimum Mass Solar Nebula (MMSN) o MMSN is not a nebula, but a protoplanetary disc. Protoplanetary disk Nebula o Gives minimum mass of solid material to build the 8 planets. PY4A01 Solar System Science Minimum mass of the solar nebula o Can make approximation of minimum amount of solar nebula material that must have been present to form planets. Know: 1. Current masses, composition, location and radii of the planets. 2. Cosmic elemental abundances. 3. Condensation temperatures of material. o Given % of material that condenses, can calculate minimum mass of original nebula from which the planets formed. • Figure from Page 115 of “Physics & Chemistry of the Solar System” by Lewis o Steps 1-8: metals & rock, steps 9-13: ices PY4A01 Solar System Science Nebula composition o Assume solar/cosmic abundances: Representative Main nebular Fraction of elements Low-T material nebular mass H, He Gas 98.4 % H2, He C, N, O Volatiles (ices) 1.2 % H2O, CH4, NH3 Si, Mg, Fe Refractories 0.3 % (metals, silicates) PY4A01 Solar System Science Minimum mass for terrestrial planets o Mercury:~5.43 g cm-3 => complete condensation of Fe (~0.285% Mnebula). 0.285% Mnebula = 100 % Mmercury => Mnebula = (100/ 0.285) Mmercury = 350 Mmercury o Venus: ~5.24 g cm-3 => condensation from Fe and silicates (~0.37% Mnebula). =>(100% / 0.37% ) Mvenus = 270 Mvenus o Earth/Mars: 0.43% of material condensed at cooler temperatures.
    [Show full text]
  • Spring Semester 2010 Exam 3 – Answers a Planetary Nebula Is A
    ASTR 1120H – Spring Semester 2010 Exam 3 – Answers PART I (70 points total) – 14 short answer questions (5 points each): 1. What is a planetary nebula? How long can a planetary nebula be observed? A planetary nebula is a luminous shell of gas ejected from an old, low- mass star. It can be observed for approximately 50,000 years; after that it its gases will have ceased to glow and it will simply fade from view. 2. What is a white dwarf star? How does a white dwarf change over time? A white dwarf star is a low-mass star that has exhausted all its nuclear fuel and contracted to a size roughly equal to the size of the Earth. It is supported against further contraction by electron degeneracy pressure. As a white dwarf ages, though, it will radiate, thereby cooling and getting less luminous. 3. Name at least three differences between Type Ia supernovae and Type II supernovae. Type Ia SN are intrinsically brighter than Type II SN. Type II SN show hydrogen emission lines; Type Ia SN don't. Type II SN are thought to arise from core collapse of a single, massive star. Type Ia SN are thought to arise from accretion from a binary companion onto a white dwarf star, pushing the white dwarf beyond the Chandrasekhar limit and causing a nuclear detonation that destroys the white dwarf. 4. Why was SN 1987A so important? SN 1987A was the first naked-eye SN in almost 400 years. It was the first SN for which a precursor star could be identified.
    [Show full text]
  • SHAPING the WIND of DYING STARS Noam Soker
    Pleasantness Review* Department of Physics, Technion, Israel The role of jets in the common envelope evolution (CEE) and in the grazing envelope evolution (GEE) Cambridge 2016 Noam Soker •Dictionary translation of my name from Hebrew to English (real!): Noam = Pleasantness Soker = Review A short summary JETS See review accepted for publication by astro-ph in May 2016: Soker, N., 2016, arXiv: 160502672 A very short summary JFM See review accepted for publication by astro-ph in May 2016: Soker, N., 2016, arXiv: 160502672 A full summary • Jets are unavoidable when the companion enters the common envelope. They are most likely to continue as the secondary star enters the envelop, and operate under a negative feedback mechanism (the Jet Feedback Mechanism - JFM). • Jets: Can be launched outside and Secondary inside the envelope star RGB, AGB, Red Giant Massive giant primary star Jets Jets Jets: And on its surface Secondary star RGB, AGB, Red Giant Massive giant primary star Jets A full summary • Jets are unavoidable when the companion enters the common envelope. They are most likely to continue as the secondary star enters the envelop, and operate under a negative feedback mechanism (the Jet Feedback Mechanism - JFM). • When the jets mange to eject the envelope outside the orbit of the secondary star, the system avoids a common envelope evolution (CEE). This is the Grazing Envelope Evolution (GEE). Points to consider (P1) The JFM (jet feedback mechanism) is a negative feedback cycle. But there is a positive ingredient ! In the common envelope evolution (CEE) more mass is removed from zones outside the orbit.
    [Show full text]
  • The MUSE View of the Planetary Nebula NGC 3132? Ana Monreal-Ibero1,2 and Jeremy R
    A&A 634, A47 (2020) Astronomy https://doi.org/10.1051/0004-6361/201936845 & © ESO 2020 Astrophysics The MUSE view of the planetary nebula NGC 3132? Ana Monreal-Ibero1,2 and Jeremy R. Walsh3,?? 1 Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, Tenerife, Spain e-mail: [email protected] 2 Universidad de La Laguna, Dpto. Astrofísica, 38206 La Laguna, Tenerife, Spain 3 European Southern Observatory, Karl-Schwarzschild Strasse 2, 85748 Garching, Germany Received 4 October 2019 / Accepted 6 December 2019 ABSTRACT Aims. Two-dimensional spectroscopic data for the whole extent of the NGC 3132 planetary nebula have been obtained. We deliver a reduced data-cube and high-quality maps on a spaxel-by-spaxel basis for the many emission lines falling within the Multi-Unit Spectroscopic Explorer (MUSE) spectral coverage over a range in surface brightness >1000. Physical diagnostics derived from the emission line images, opening up a variety of scientific applications, are discussed. Methods. Data were obtained during MUSE commissioning on the European Southern Observatory (ESO) Very Large Telescope and reduced with the standard ESO pipeline. Emission lines were fitted by Gaussian profiles. The dust extinction, electron densities, and temperatures of the ionised gas and abundances were determined using Python and PyNeb routines. 2 Results. The delivered datacube has a spatial size of 6300 12300, corresponding to 0:26 0:51 pc for the adopted distance, and ∼ × ∼ 1 × a contiguous wavelength coverage of 4750–9300 Å at a spectral sampling of 1.25 Å pix− . The nebula presents a complex reddening structure with high values (c(Hβ) 0:4) at the rim.
    [Show full text]
  • Luminous Blue Variables: an Imaging Perspective on Their Binarity and Near Environment?,??
    A&A 587, A115 (2016) Astronomy DOI: 10.1051/0004-6361/201526578 & c ESO 2016 Astrophysics Luminous blue variables: An imaging perspective on their binarity and near environment?;?? Christophe Martayan1, Alex Lobel2, Dietrich Baade3, Andrea Mehner1, Thomas Rivinius1, Henri M. J. Boffin1, Julien Girard1, Dimitri Mawet4, Guillaume Montagnier5, Ronny Blomme2, Pierre Kervella7;6, Hugues Sana8, Stanislav Štefl???;9, Juan Zorec10, Sylvestre Lacour6, Jean-Baptiste Le Bouquin11, Fabrice Martins12, Antoine Mérand1, Fabien Patru11, Fernando Selman1, and Yves Frémat2 1 European Organisation for Astronomical Research in the Southern Hemisphere, Alonso de Córdova 3107, Vitacura, 19001 Casilla, Santiago de Chile, Chile e-mail: [email protected] 2 Royal Observatory of Belgium, 3 avenue Circulaire, 1180 Brussels, Belgium 3 European Organisation for Astronomical Research in the Southern Hemisphere, Karl-Schwarzschild-Str. 2, 85748 Garching b. München, Germany 4 Department of Astronomy, California Institute of Technology, 1200 E. California Blvd, MC 249-17, Pasadena, CA 91125, USA 5 Observatoire de Haute-Provence, CNRS/OAMP, 04870 Saint-Michel-l’Observatoire, France 6 LESIA (UMR 8109), Observatoire de Paris, PSL, CNRS, UPMC, Univ. Paris-Diderot, 5 place Jules Janssen, 92195 Meudon, France 7 Unidad Mixta Internacional Franco-Chilena de Astronomía (CNRS UMI 3386), Departamento de Astronomía, Universidad de Chile, Camino El Observatorio 1515, Las Condes, Santiago, Chile 8 ESA/Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218,
    [Show full text]
  • Size and Scale Attendance Quiz II
    Size and Scale Attendance Quiz II Are you here today? Here! (a) yes (b) no (c) are we still here? Today’s Topics • “How do we know?” exercise • Size and Scale • What is the Universe made of? • How big are these things? • How do they compare to each other? • How can we organize objects to make sense of them? What is the Universe made of? Stars • Stars make up the vast majority of the visible mass of the Universe • A star is a large, glowing ball of gas that generates heat and light through nuclear fusion • Our Sun is a star Planets • According to the IAU, a planet is an object that 1. orbits a star 2. has sufficient self-gravity to make it round 3. has a mass below the minimum mass to trigger nuclear fusion 4. has cleared the neighborhood around its orbit • A dwarf planet (such as Pluto) fulfills all these definitions except 4 • Planets shine by reflected light • Planets may be rocky, icy, or gaseous in composition. Moons, Asteroids, and Comets • Moons (or satellites) are objects that orbit a planet • An asteroid is a relatively small and rocky object that orbits a star • A comet is a relatively small and icy object that orbits a star Solar (Star) System • A solar (star) system consists of a star and all the material that orbits it, including its planets and their moons Star Clusters • Most stars are found in clusters; there are two main types • Open clusters consist of a few thousand stars and are young (1-10 million years old) • Globular clusters are denser collections of 10s-100s of thousand stars, and are older (10-14 billion years
    [Show full text]
  • (NASA/Chandra X-Ray Image) Type Ia Supernova Remnant – Thermonuclear Explosion of a White Dwarf
    Stellar Evolution Card Set Description and Links 1. Tycho’s SNR (NASA/Chandra X-ray image) Type Ia supernova remnant – thermonuclear explosion of a white dwarf http://chandra.harvard.edu/photo/2011/tycho2/ 2. Protostar formation (NASA/JPL/Caltech/Spitzer/R. Hurt illustration) A young star/protostar forming within a cloud of gas and dust http://www.spitzer.caltech.edu/images/1852-ssc2007-14d-Planet-Forming-Disk- Around-a-Baby-Star 3. The Crab Nebula (NASA/Chandra X-ray/Hubble optical/Spitzer IR composite image) A type II supernova remnant with a millisecond pulsar stellar core http://chandra.harvard.edu/photo/2009/crab/ 4. Cygnus X-1 (NASA/Chandra/M Weiss illustration) A stellar mass black hole in an X-ray binary system with a main sequence companion star http://chandra.harvard.edu/photo/2011/cygx1/ 5. White dwarf with red giant companion star (ESO/M. Kornmesser illustration/video) A white dwarf accreting material from a red giant companion could result in a Type Ia supernova http://www.eso.org/public/videos/eso0943b/ 6. Eight Burst Nebula (NASA/Hubble optical image) A planetary nebula with a white dwarf and companion star binary system in its center http://apod.nasa.gov/apod/ap150607.html 7. The Carina Nebula star-formation complex (NASA/Hubble optical image) A massive and active star formation region with newly forming protostars and stars http://www.spacetelescope.org/images/heic0707b/ 8. NGC 6826 (Chandra X-ray/Hubble optical composite image) A planetary nebula with a white dwarf stellar core in its center http://chandra.harvard.edu/photo/2012/pne/ 9.
    [Show full text]
  • Classification of Planetary Nebulae Through Deep Transfer Learning
    galaxies Article Classification of Planetary Nebulae through Deep Transfer Learning Dayang N. F. Awang Iskandar 1,2,*,† , Albert A. Zijlstra 2,† , Iain McDonald 2,3 , Rosni Abdullah 4 , Gary A. Fuller 2, Ahmad H. Fauzi 1 and Johari Abdullah 1 1 Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Sarawak 94300, Malaysia; [email protected] (A.H.F.); [email protected] (J.A.) 2 Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, School of Natural Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK; [email protected] (A.A.Z.); [email protected] (I.M.); [email protected] (G.A.F.) 3 School of Physical Sciences, The Open University, Walton Hall, Kents Hill, Milton Keynes MK7 6AA, UK 4 School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang 11800, Malaysia; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work. Received: 11 August 2020; Accepted: 7 December 2020; Published: 11 December 2020 Abstract: This study investigate the effectiveness of using Deep Learning (DL) for the classification of planetary nebulae (PNe). It focusses on distinguishing PNe from other types of objects, as well as their morphological classification. We adopted the deep transfer learning approach using three ImageNet pre-trained algorithms. This study was conducted using images from the Hong Kong/Australian Astronomical Observatory/Strasbourg Observatory H-alpha Planetary Nebula research platform database (HASH DB) and the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS). We found that the algorithm has high success in distinguishing True PNe from other types of objects even without any parameter tuning.
    [Show full text]