The Interstellar Medium Chapter 10 Outline
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Midterm Results the Milky Way in the Infrared
3/2/10 Lecture 13 : Midterm Results The Interstellar Medium and Cosmic Recycling A2020 Prof. Tom Megeath The Milk The Milky Way in the Infrared Way from Above (artist conception) The Milky Way appears to have a bar and four spiral arms. Star formation and hot blue stars concentrated in arms. View from the Earth: Edge On Infrared light penetrates the clouds and shows the entire galaxy 1 3/2/10 NGC 7331: the Milky Way’s Twins The Interstellar Medium The space between the stars is not empty, but filled with a very low density of matter in the form of: •Atomic hydrogen •Ionized hydrogen •Molecular Hydrogen •Cosmic Rays •Dust grains •Many other molecules (water, carbon monoxide, formaldehyde, methanol, etc) •Organic molecules like polycyclic aromatic hydrocarbons How do we know the gas is there? Review: Kirchoff Laws Remainder of the Lecture Foreground gas cooler, absorption 1. How we observe and study the interstellar medium 2. The multiwavelength Milky Way Absorbing gas hotter, 3. Cosmic Recycling emission lines (and (or cooler blackbody) blackbody) If foreground gas and emitting blackbody the same temperature: perfect blackbody (no lines) Picture from Nick Strobel’s astronomy notes: www.astronomynotes.com 2 3/2/10 Observing the ISM through Absorption Lines • We can determine the composition of interstellar gas from its absorption lines in the spectra of stars • 70% H, 28% He, 2% heavier elements in our region of Milky Way Picture from Nick Strobel’s astronomy notes: www.astronomynotes.com Emission Lines Emission Line Nebula M27 Emitted by atoms and ions in planetary and HII regions. -
Several Figures Have Been Removed from This Version See Complete Version At
Several figures have been removed from this version See complete version at http://www.astro.psu.edu/mystix Accepted for Astrophysical Journal Supplements, August 2013 Overview of the Massive Young Star-Forming Complex Study in Infrared and X-ray (MYStIX) Project Eric D. Feigelson∗1,2, Leisa K. Townsley1 , Patrick S. Broos 1, Heather A. Busk1 , Konstantin V. Getman1 , Robert King3, Michael A. Kuhn1 , Tim Naylor3 , Matthew Povich1,4 , Adrian Baddeley5,6 , Matthew Bate3, Remy Indebetouw7 , Kevin Luhman1,2 , Mark McCaughrean8 , 9 10 10 5 10 Julian Pittard , Ralph Pudritz , Alison Sills , Yong Song , James Wadsley ABSTRACT MYStIX (Massive Young Star-Forming Complex Study in Infrared and X- ray) seeks to characterize 20 OB-dominated young clusters and their environs at distances d ≤ 4 kpc using imaging detectors on the Chandra X-ray Obser- vatory, Spitzer Space Telescope, and the United Kingdom InfraRed Telescope. The observational goals are to construct catalogs of star-forming complex stel- lar members with well-defined criteria, and maps of nebular gas (particularly of * [email protected] 1 Department of Astronomy & Astrophysics, Pennsylvania State University, 525 Davey Laboratory, Uni- versity Park PA 16802 2 Center for Exoplanets and Habitable Worlds, Penn State University, 525 Davey Laboratory, University Park PA 16802 3 Department of Physics and Astronomy, University of Exeter, Stocker Road, Exeter, Devon, EX4 4SB, UK 4 Department of Physics and Astronomy, California State Polytechnic University, 3801 West Temple Ave, Pomona, CA 91768 5 Mathematics, Informatics and Statistics, CSIRO, Underwood Avenue, Floreat WA 6014, Australia 6 School of Mathematics and Statistics, University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia 7 Department of Astronomy, University of Virginia, P.O. -
TESTING MODELS of LOW-EXCITATION PHOTODISSOCIATION REGIONS with FAR-INFRARED OBSERVATIONS of REFLECTION NEBULAE Rolaine C
The Astrophysical Journal, 578:885–896, 2002 October 20 # 2002. The American Astronomical Society. All rights reserved. Printed in U.S.A. TESTING MODELS OF LOW-EXCITATION PHOTODISSOCIATION REGIONS WITH FAR-INFRARED OBSERVATIONS OF REFLECTION NEBULAE Rolaine C. Young Owl Department of Physics and Astronomy, University of California at Los Angeles, Mail Code 156205, Los Angeles, CA 90095-1562 Margaret M. Meixner1 and David Fong Department of Astronomy, University of Illinois, Urbana, IL 61801; [email protected], [email protected] Michael R. Haas NASA Ames Research Center, MS 245-6, Moffett Field, CA 94035-1000; [email protected] Alexander L. Rudolph1 Department of Physics, Harvey Mudd College, 301 East 12th Street, Claremont, CA 91711; [email protected] and A. G. G. M. Tielens Kapteyn Astronomical Institute, P.O. Box 800, 9700 AV Groningen, Netherlands; [email protected] Received 2001 August 2; accepted 2002 June 24 ABSTRACT This paper presents Kuiper Airborne Observatory observations of the photodissociation regions (PDRs) in nine reflection nebulae. These observations include the far-infrared atomic fine-structure lines of [O i]63 and 145 lm, [C ii] 158 lm, and [Si ii]35lm and the adjacent far-infrared continuum to these lines. Our analysis of these far-infrared observations provides estimates of the physical conditions in each reflection nebula. In our sample of reflection nebulae, the stellar effective temperatures are 10,000–30,000 K, the gas densities are 4 Â 102 2 Â 104 cmÀ3, the gas temperatures are 200–690 K, and the incident far-ultraviolet intensities are 300–8100 times the ambient interstellar radiation field strength (1:2 Â 10À4 ergs cmÀ2 sÀ1 srÀ1). -
The Interstellar Medium
The Interstellar Medium http://apod.nasa.gov/apod/astropix.html THE INTERSTELLAR MEDIUM • Total mass ~ 5 to 10 x 109 solar masses of about 5 – 10% of the mass of the Milky Way Galaxy interior to the suns orbit • Average density overall about 0.5 atoms/cm3 or ~10-24 g cm-3, but large variations are seen • Composition - essentially the same as the surfaces of Population I stars, but the gas may be ionized, neutral, or in molecules (or dust) H I – neutral atomic hydrogen H2 - molecular hydrogen H II – ionized hydrogen He I – neutral helium Carbon, nitrogen, oxygen, dust, molecules, etc. THE INTERSTELLAR MEDIUM • Energy input – starlight (especially O and B), supernovae, cosmic rays • Cooling – line radiation and infrared radiation from dust • Largely concentrated (in our Galaxy) in the disk Evolution in the ISM of the Galaxy Stellar winds Planetary Nebulae Supernovae + Circulation Stellar burial ground The The Stars Interstellar Big Medium Galaxy Bang Formation White Dwarfs Neutron stars Black holes Star Formation As a result the ISM is continually stirred, heated, and cooled – a dynamic environment And its composition evolves: 0.02 Total fraction of heavy elements Total 10 billion Time years THE LOCAL BUBBLE http://www.daviddarling.info/encyclopedia/L/Local_Bubble.html The “Local Bubble” is a region of low density (~0.05 cm-3 and Loop I bubble high temperature (~106 K) 600 ly has been inflated by numerous supernova explosions. It is Galactic Center about 300 light years long and 300 ly peanut-shaped. Its smallest dimension is in the plane of the Milky Way Galaxy. -
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. -
Gas and Dust in the Magellanic Clouds
Gas and dust in the Magellanic clouds A Thesis Submitted for the Award of the Degree of Doctor of Philosophy in Physics To Mangalore University by Ananta Charan Pradhan Under the Supervision of Prof. Jayant Murthy Indian Institute of Astrophysics Bangalore - 560 034 India April 2011 Declaration of Authorship I hereby declare that the matter contained in this thesis is the result of the inves- tigations carried out by me at Indian Institute of Astrophysics, Bangalore, under the supervision of Professor Jayant Murthy. This work has not been submitted for the award of any degree, diploma, associateship, fellowship, etc. of any university or institute. Signed: Date: ii Certificate This is to certify that the thesis entitled ‘Gas and Dust in the Magellanic clouds’ submitted to the Mangalore University by Mr. Ananta Charan Pradhan for the award of the degree of Doctor of Philosophy in the faculty of Science, is based on the results of the investigations carried out by him under my supervi- sion and guidance, at Indian Institute of Astrophysics. This thesis has not been submitted for the award of any degree, diploma, associateship, fellowship, etc. of any university or institute. Signed: Date: iii Dedicated to my parents ========================================= Sri. Pandab Pradhan and Smt. Kanak Pradhan ========================================= Acknowledgements It has been a pleasure to work under Prof. Jayant Murthy. I am grateful to him for giving me full freedom in research and for his guidance and attention throughout my doctoral work inspite of his hectic schedules. I am indebted to him for his patience in countless reviews and for his contribution of time and energy as my guide in this project. -
Reflection Nebula Visualization
Reflection Nebula Visualization Marcus A. Magnor∗ Kristian Hildebrand Andrei Lintu Andrew J. Hanson† MPI Informatik MPI Informatik MPI Informatik Indiana University ABSTRACT Stars form in dense clouds of interstellar gas and dust. The residual dust surrounding a young star scatters and diffuses its light, making the star's “cocoon” of dust observable from Earth. The resulting structures, called reflection nebulae, are commonly very colorful in appearance due to wavelength-dependent effects in the scatter- ing and extinction of light. The intricate interplay of scattering and extinction cause the color hues, brightness distributions, and the ap- parent shapes of such nebulae to vary greatly with viewpoint. We describe here an interactive visualization tool for realistically ren- dering the appearance of arbitrary 3D dust distributions surround- ing one or more illuminating stars. Our rendering algorithm is based on the physical models used in astrophysics research. The tool can be used to create virtual fly-throughs of reflection nebulae for interactive desktop visualizations, or to produce scientifically accurate animations for educational purposes, e.g., in planetarium shows. The algorithm is also applicable to investigate on-the-fly the visual effects of physical parameter variations, exploiting visualiza- tion technology to help gain a deeper and more intuitive understand- ing of the complex interaction of light and dust in real astrophysical settings. CR Categories: I.3.3 [Computer Graphics]: Picture/Image Figure 1: Reflection nebulae: Recently formed, hot stars illuminate Generation—Viewing algorithms; I.3.7 [Computer Graphics]: the surrounding interstellar dust that scatters and absorbs the star Three-Dimensional Graphics and Realism—Color, shading, shad- light to give rise to a large range of color hues and brightness varia- owing, and texture; J.2 [Computer Applications]: Physical Sciences tions. -