Coronae, Heliospheres and Astrospheres
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Coronal Structure of Pre-Main Sequence Stars
**FULL TITLE** ASP Conference Series, Vol. **VOLUME**, **YEAR OF PUBLICATION** **NAMES OF EDITORS** Coronal Structure of Pre-Main Sequence Stars Moira Jardine SUPA, School of Physics and Astronomy, North Haugh, St Andrews, Fife, KY16 9SS, UK Abstract. The study of pre-main sequence stellar coronae is undertaken in many different wavelength regimes, with apparently conflicting results. X-ray studies of T Tauri stars suggest the presence of loops with a range of sizes ranging from less than a stellar radius to 10 stellar radii. Some of these stars show a clear rotational modulation in X-rays, but many do not and indeed the nature of this emission and its dependence on stellar mass and rotation rate is still a matter of debate. Some component of it may come from the accretion shock, but the location and extent of the accretion funnels (inferred from optical and UV observations) is as much of a puzzle as the mass accretion rate that they carry. Mass and angular momentum are not only gained by the star in the process of accretion, but also lost in either jets or winds. Linking all these different features is the magnetic field. Recent observations suggest the presence of structure on many scales, with a complex, multipolar field on small scales near the surface co-existing with a much simpler field structure on the larger scales at which the stellar field may be linking onto a surrounding disk. Some recent models suggest that the open field lines which are responsible for carrying gas escaping in winds and jets may also be responsible for much of the infalling accretion flow. -
15 Stellar Winds
15 Stellar Winds Stan Owocki Bartol Research Institute, Department of Physics and Astronomy, University of Colorado, Newark, DE, USA 1IntroductionandBackground....................................... 737 2ObservationalDiagnosticsandInferredProperties....................... 740 2.1 Solar Corona and Wind ................................................ 740 2.2 Spectral Signatures of Dense Winds from Hot and Cool Stars ................. 742 2.2.1 Opacity and Optical Depth ............................................. 742 2.2.2 Doppler-Shi!ed Line Absorption ........................................ 744 2.2.3 Asymmetric P-Cygni Pro"les from Scattering Lines ......................... 745 2.2.4 Wind-Emission Lines .................................................. 748 2.2.5 Continuum Emission in Radio and Infrared ................................ 750 3GeneralEquationsandFormalismforStellarWindMassLoss.............. 751 3.1 Hydrostatic Equilibrium in the Atmospheric Base of Any Wind ............... 751 3.2 General Flow Conservation Equations .................................... 752 3.3 Steady, Spherically Symmetric Wind Expansion ............................ 753 3.4 Energy Requirements of a Spherical Wind Out#ow .......................... 753 4CoronalExpansionandSolarWind................................... 754 4.1 Reasons for Hot, Extended Corona ....................................... 754 4.1.1 $ermal Runaway from Density and Temperature Decline of Line-Cooling ...... 754 4.1.2 Coronal Heating with a Conductive $ermostat ........................... -
A Deep Learning Framework for Solar Phenomena Prediction
FlareNet: A Deep Learning Framework for Solar Phenomena Prediction FDL 2017 Solar Storm Team: Sean McGregor1, Dattaraj Dhuri1,2, Anamaria Berea1,3, and Andrés Muñoz-Jaramillo1,4 1NASA’s 2017 Frontier Development Laboratory 2Tata Institute of Fundamental Research (TIFR), Mumbai, India 3Center for Complexity in Business, University of Maryland, College Park, MD, USA 4SouthWest Research Institute, Boulder, CO, USA Abstract Solar activity can interfere with the normal operation of GPS satellites, the power grid, and space operations, but inadequate predictive models mean we have little warning for the arrival of newly disruptive solar activity. Petabytes of data col- lected from satellite instruments aboard the Solar Dynamics Observatory (SDO) provide a high-cadence, high-resolution, and many-channeled dataset of solar phenomena. Several challenging deep learning problems may be derived from the data, including space weather forecasting (i.e., solar flares, solar energetic particles, and coronal mass ejections). This work introduces a software framework, FlareNet, for experimentation within these problems. FlareNet includes compo- nents for the downloading and management of SDO data, visualization, and rapid experimentation. The system architecture is built to enable collaboration between heliophysicists and machine learning researchers on the topics of image regres- sion, image classification, and image segmentation. We specifically highlight the problem of solar flare prediction and offer insights from preliminary experiments. 1 Introduction The violent release of solar magnetic energy – collectively referred to as “space weather" – is responsible for a variety of phenomena that can disrupt technological assets. In particular, solar flares (sudden brightenings of the solar corona) and coronal mass ejections (CMEs; the violent release of solar plasma) can disrupt long-distance communications, reduce Global Positioning System (GPS) accuracy, degrade satellites, and disrupt the power grid [5]. -
Solar and Space Physics: a Science for a Technological Society
Solar and Space Physics: A Science for a Technological Society The 2013-2022 Decadal Survey in Solar and Space Physics Space Studies Board ∙ Division on Engineering & Physical Sciences ∙ August 2012 From the interior of the Sun, to the upper atmosphere and near-space environment of Earth, and outwards to a region far beyond Pluto where the Sun’s influence wanes, advances during the past decade in space physics and solar physics have yielded spectacular insights into the phenomena that affect our home in space. This report, the final product of a study requested by NASA and the National Science Foundation, presents a prioritized program of basic and applied research for 2013-2022 that will advance scientific understanding of the Sun, Sun- Earth connections and the origins of “space weather,” and the Sun’s interactions with other bodies in the solar system. The report includes recommendations directed for action by the study sponsors and by other federal agencies—especially NOAA, which is responsible for the day-to-day (“operational”) forecast of space weather. Recent Progress: Significant Advances significant progress in understanding the origin from the Past Decade and evolution of the solar wind; striking advances The disciplines of solar and space physics have made in understanding of both explosive solar flares remarkable advances over the last decade—many and the coronal mass ejections that drive space of which have come from the implementation weather; new imaging methods that permit direct of the program recommended in 2003 Solar observations of the space weather-driven changes and Space Physics Decadal Survey. For example, in the particles and magnetic fields surrounding enabled by advances in scientific understanding Earth; new understanding of the ways that space as well as fruitful interagency partnerships, the storms are fueled by oxygen originating from capabilities of models that predict space weather Earth’s own atmosphere; and the surprising impacts on Earth have made rapid gains over discovery that conditions in near-Earth space the past decade. -
Exploring the Sun with ALMA
Astronomical Science DOI: 10.18727/0722-6691/5065 Exploring the Sun with ALMA Timothy S. Bastian1 18 Space Vehicles Directorate, Air Force and to gain an understanding of how Miroslav Bárta2 Research Laboratory, Albuquerque, mechanical and radiative energy are Roman Brajša3 USA transferred through that atmospheric Bin Chen4 19 National Astronomical Observatories, layer. Bart De Pontieu5, 6 Chinese Academy of Sciences, Beijing, Dale E. Gary4 China Much of what is currently known about Gregory D. Fleishman4 the chromosphere has relied on spectro- Antonio S. Hales1, 7 scopic observations at optical and ultra- Kazumasa Iwai8 The Atacama Large Millimeter/submilli- violet wavelengths using both ground- Hugh Hudson9, 10 meter Array (ALMA) Observatory opens and space-based instrumentation. While Sujin Kim11, 12 a new window onto the Universe. The a lot of progress has been made, the Adam Kobelski13 ability to perform continuum imaging interpretation of such observations is Maria Loukitcheva4, 14, 15 and spectroscopy of astrophysical phe- complex because optical and ultraviolet Masumi Shimojo16, 17 nomena at millimetre and submillimetre lines in the chromosphere form under Ivica Skokić2, 3 wavelengths with unprecedented sen- conditions of non-local thermodynamic Sven Wedemeyer6 sitivity opens up new avenues for the equilibrium. In contrast, emission from Stephen M. White18 study of cosmology and the evolution the Sun’s chromosphere at millimetre Yihua Yan19 of galaxies, the formation of stars and and submillimetre wavelengths is more planets, and astrochemistry. ALMA also straightforward to interpret as the emis- allows fundamentally new observations sion forms under conditions of local 1 National Radio Astronomy Observatory, to be made of objects much closer to thermodynamic equilibrium and the Charlottesville, USA home, including the Sun. -
Chapter 11 RADIO OBSERVATIONS of CORONAL MASS
Chapter 11 RADIO OBSERVATIONS OF CORONAL MASS EJECTIONS Angelos Vourlidas Solar Physics Branch, Naval Research Laboratory, Washington, DC [email protected] Abstract In this chapter we review the status of CME observations in radio wavelengths with an emphasis on imaging. It is an area of renewed interest since 1996 due to the upgrade of the Nancay radioheliograph in conjunction with the continu- ous coverage of the solar corona from the EIT and LASCO instruments aboard SOHO. Also covered are analyses of Nobeyama Radioheliograph data and spec- tral data from a plethora of spectrographs around the world. We will point out the shortcomings of the current instrumentation and the ways that FASR could contribute. A summary of the current understanding of the physical processes that are involved in the radio emission from CMEs will be given. Keywords: Sun: Corona, Sun: Coronal Mass Ejections, Sun:Radio 1. Coronal Mass Ejections 1.1 A Brief CME Primer A Coronal Mass Ejection (CME) is, by definition, the expulsion of coronal plasma and magnetic field entrained therein into the heliosphere. The event is detected in white light by Thompson scattering of the photospheric light by the coronal electrons in the ejected mass. The first CME was discovered on December 14, 1971 by the OSO-7 orbiting coronagraph (Tousey 1973) which recorded only a small number of events (Howard et al. 1975). Skylab ob- servations quickly followed and allowed the first study of CME properties ( Gosling et al. 1974). Observations from many thousands of events have been collected since, from a series of space-borne coronagraphs: Solwind (Michels et al. -
Chapter 3 – Astrospheres, Stellar Winds, and the Interstellar Medium
3 Astrospheres, stellar winds, and the interstellar medium BRIAN E. WOOD AND JEFFREY L. LINSKY 3.1 The spatial extent of the solar wind While orbiting the Sun, the Earth and the other planers in our solar system are ex posed to an outflow of plasma from the Sun. This is the solar wi nd, which largely determines the particle environment of the planets, as well as their magnetospheric properties. Long-tenn exposure Lo the solar wind may have had signjficant cffectc; on planetary atmospheres in some cases. Mars is a particularly interesting example, as the Martian atmosphere was once much thicker than it is today, and the erosive effects of solar wind exposure are commonly believed to be responsible for itc; depletion (see Ch. 8; also Jakosky et al.. 1994; Atreya et al., 2013). The solar wind does not expand indefinitely. Eventually it runs into the inter stellar medium (ISM), the ex tre mely low-particle-density e nvironment that exists in between the stars. Our Sun is moving relative to the ISM that surrounds the planetary system, so we see a fl ow of interstellar matter in the heliocentric rest frame, coming from the direction of the constellation Ophiuchus. The interaction between the solar wind and the ISM flow determines the large-scale structure of our he liosphere. which basically defines the extent of the solar wind's reach into our Galactic environment. Other stars are naturally surrounded by their own "astro spheres" (allernatively "asterospheres"') defined by the strength of their own stellar winds, the nature of the ISM in their Galactic neighborhoods, and their rnlative motion. -
The High Resolution Camera
CXC Newsletter The High Resolution Camera To create a source catalog of the M31 center and search for time variability of the sources, we includ- Ralph Kraft, Hans Moritz Guenther (SAO), and ed 23 observations from November 1999 to February Wolfgang Pietsch (MPE) 2005 (adding about 250 ks exposure time). We detected 318 X-ray sources and created long term light curves It has been another quiet, but successful year for for all of them. We classified sources as highly variable HRC operations. The instrument performs well with or outbursting (with subclasses short vs. long outbursts no significant anomalies or instrumental issues. The and activity periods). 129 sources could be classified as HRC continues to be used for a wide variety of astro- X-ray binaries due to their position in globular clusters physical investigations. In this chapter, we briefly de- or their strong time variability (see Fig. 2). We detected scribe two such science studies. First, a collaboration seven supernova remnants, one of which is a new can- led by Dr. Wolfgang Pietsch of MPE used the HRC to didate, and also resolved the first X-rays from a known study the X-ray state of the nova population in M31 radio supernova remnant (see Hofmann et al. 2013). in conjunction with XMM-Newton and optical studies. In a second study, Guenther et al. used the HRC to They found that there is a strong correlation between determine the origin of the X-ray emission from β Pic, the optical and X-ray properties of these novae. Sec- a nearby star with a dusty disk. -
Solar Wind Properties and Geospace Impact of Coronal Mass Ejection-Driven Sheath Regions: Variation and Driver Dependence E
Solar Wind Properties and Geospace Impact of Coronal Mass Ejection-Driven Sheath Regions: Variation and Driver Dependence E. K. J. Kilpua, D. Fontaine, C. Moissard, M. Ala-lahti, E. Palmerio, E. Yordanova, S. Good, M. M. H. Kalliokoski, E. Lumme, A. Osmane, et al. To cite this version: E. K. J. Kilpua, D. Fontaine, C. Moissard, M. Ala-lahti, E. Palmerio, et al.. Solar Wind Properties and Geospace Impact of Coronal Mass Ejection-Driven Sheath Regions: Variation and Driver Dependence. Space Weather: The International Journal of Research and Applications, American Geophysical Union (AGU), 2019, 17 (8), pp.1257-1280. 10.1029/2019SW002217. hal-03087107 HAL Id: hal-03087107 https://hal.archives-ouvertes.fr/hal-03087107 Submitted on 23 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. RESEARCH ARTICLE Solar Wind Properties and Geospace Impact of Coronal 10.1029/2019SW002217 Mass Ejection-Driven Sheath Regions: Variation and Key Points: Driver Dependence • Variation of interplanetary properties and geoeffectiveness of CME-driven sheaths and their dependence on the E. K. J. Kilpua1 , D. Fontaine2 , C. Moissard2 , M. Ala-Lahti1 , E. Palmerio1 , ejecta properties are determined E. -
Variability of a Stellar Corona on a Time Scale of Days Evidence for Abundance Fractionation in an Emerging Coronal Active Region
A&A 550, A22 (2013) Astronomy DOI: 10.1051/0004-6361/201220491 & c ESO 2013 Astrophysics Variability of a stellar corona on a time scale of days Evidence for abundance fractionation in an emerging coronal active region R. Nordon1,2,E.Behar3, and S. A. Drake4 1 Max-Planck-Institut für Extraterrestrische Physik (MPE), Postfach 1312 85741 Garching, Germany 2 School of Physics and Astronomy, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, 69978 Tel-Aviv, Israel e-mail: [email protected] 3 Physics Department, Technion Israel Institute of Technology, 32000 Haifa, Israel e-mail: [email protected] 4 NASA/GSFC, Greenbelt, 20771 Maryland, USA e-mail: [email protected] Received 3 October 2012 / Accepted 1 December 2012 ABSTRACT Elemental abundance effects in active coronae have eluded our understanding for almost three decades, since the discovery of the first ionization potential (FIP) effect on the sun. The goal of this paper is to monitor the same coronal structures over a time interval of six days and resolve active regions on a stellar corona through rotational modulation. We report on four iso-phase X-ray spectroscopic observations of the RS CVn binary EI Eri with XMM-Newton, carried out approximately every two days, to match the rotation period of EI Eri. We present an analysis of the thermal and chemical structure of the EI Eri corona as it evolves over the six days. Although the corona is rather steady in its temperature distribution, the emission measure and FIP bias both vary and seem to be correlated. -
Lecture 17: the Solar Wind O Topics to Be Covered
Lecture 17: The solar wind o Topics to be covered: o Solar wind o Inteplanetary magnetic field The solar wind o Biermann (1951) noticed that many comets showed excess ionization and abrupt changes in the outflow of material in their tails - is this due to a solar wind? o Assumed comet orbit perpendicular to line-of-sight (vperp) and tail at angle ! => tan! = vperp/vr o From observations, tan ! ~ 0.074 o But vperp is a projection of vorbit -1 => vperp = vorbit sin ! ~ 33 km s -1 o From 600 comets, vr ~ 450 km s . o See Uni. New Hampshire course (Physics 954) for further details: http://www-ssg.sr.unh.edu/Physics954/Syllabus.html The solar wind o STEREO satellite image sequences of comet tail buffeting and disconnection. Parker’s solar wind o Parker (1958) assumed that the outflow from the Sun is steady, spherically symmetric and isothermal. o As PSun>>PISM => must drive a flow. o Chapman (1957) considered corona to be in hydrostatic equibrium: dP = −ρg dr dP GMS ρ + 2 = 0 Eqn. 1 dr r o If first term >> than second €=> produces an outflow: € dP GM ρ dv + S + ρ = 0 Eqn. 2 dr r2 dt o This is the equation for a steadily expanding solar/stellar wind. € Parker’s solar wind (cont.) dv dv dr dv dP GM ρ dv o As, = = v => + S + ρv = 0 dt dr dt dr dr r2 dr dv 1 dP GM or v + + S = 0 Eqn. 3 dr ρ dr r2 € € o Called the momentum equation. € o Eqn. 3 describes acceleration (1st term) of the gas due to a pressure gradient (2nd term) and gravity (3rd term). -
Solar Modeling and Opacities
Solar Modeling and Opacities Joyce Ann Guzik Los Alamos National Laboratory Tri-Lab Opacity Workshop August 27, 2020 LA-UR-20-26484 8/28/20 1 The solar abundance problem ® Until 2004, we thought we knew very well the interior structure of the Sun, and how it reached its present state. ® However, new analyses of the Sun’s spectral lines (Asplund et al. 2005) revise downward the mass fraction of elements heavier than H and He, particularly the abundances of O, C, and N. ® Models evolved with the new abundances give worse agreement with helioseismic constraints How can this discrepancy be resolved? Should we adopt the new abundances? 8/28/20 2 Which is the actual problem? ®The solar abundance problem ®The solar opacity problem ®The solar modelling problem 8/28/20 3 Outline for talk ® Standard solar model ® Constraints from helioseismology ® Some attempts to reconcile models and observations ® LLNL OPAL vs. LANL OPLIB opacities 8/28/20 4 Surface composition of the Sun by mass Breakdown for elements 1.8% Other Elements heavier than H and He 25% Helium All other OxygenOxygen elements 73.2% Hydrogen Carbon S Fe Ne Si Mg N 8/28/20 5 Asplund et al. (2005) abundances decreased from previous Grevesse & Sauval (1998) determination Oxygen 48% decrease 8.66±0.05 (cf GS98 8.83±0.06) Carbon 35% decrease 8.39 ± 0.05 (cf GS98 8.52±0.06) Nitrogen 27.5% decrease 7.78±0.06 (cf GS98 7.92±0.06) Neon 74% decrease 7.84 ± 0.06 (cf GS98 8.08 ± 0.06) Argon 66% decrease 6.18 ± 0.08 (cf GS98 6.40 ± 0.06) Na to Ca: lower by 0.05 to 0.1 dex (12 to 25%) Fe: 7.45 ± 0.05