Solar Flares: the Onset of Am Gnetic Reconnection and the Structure of Radiative Slow-Mode Shocks Peng Xu University of New Hampshire, Durham
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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]. -
Why Is the Corona Hotter Than It Has Any Right to Be?
Why is the corona hotter than it has any right to be? Sam Van Kooten CU Boulder SHINE 2019 Student Day Thanks to Steve Cranmer for some slides Why the Sun is the way it is The Sun is magnetically active The Sun rotates differentially Rotation + plasma = magnetism Magnetism + rotation = solar activity That’s why the Sun is the way it is Temperature Profile of the Solar Atmosphere Photosphere (top of the convection zone) Chromosphere (forest of complex structures) Corona (magnetic domination & heating conundrum) Coronal Heating ● How do you achieve those temperatures? ● Step 1: Have energy ● Step 2: Move energy ● Step 3: Turn energy to heat ● Step 4: Retain heat ● Step 5: HOT Step 1: Have energy ● The photosphere’s kinetic energy is enough by orders of magnitude Photospheric granulation Photospheric granulation Step 2: Move energy “DC” field-line braiding → “nanoflares” “AC” MHD waves “Taylor relaxation” “IR” (twist wants to untwist, due to mag. tension) Step 3: Turn energy to heat ● Turbulence ¯\_( )_/¯ ツ Step 4: Retain heat ● Very hot → complete ionization → no blackbody radiation → very limited cooling ● Combined with low density, required heat isn’t too mind-boggling Step 5: HOT So what’s the “coronal heating problem”? Cranmer & Winebarger (2019) So what’s the “coronal heating problem”? ● The theory side is fine ● All coronal heating models occur at small scales in thin plasmas – Really hard to see! ● It’s an observational problem – Can’t observe heating happening – Can’t measure or rule out models So why is the corona hotter than it -
Space Weather Lecture 2: the Sun and the Solar Wind
Space Weather Lecture 2: The Sun and the Solar Wind Elena Kronberg (Raum 442) [email protected] Elena Kronberg: Space Weather Lecture 2: The Sun and the Solar Wind 1 / 39 The radiation power is '1.5 kW·m−2 at the distance of the Earth The Sun: facts Age = 4.5×109 yr Mass = 1.99×1030 kg (330,000 Earth masses) Radius = 696,000 km (109 Earth radii) Mean distance from Earth (1AU) = 150×106 km (215 solar radii) Equatorial rotation period = '25 days Mass loss rate = 109 kg·s−1 It takes sunlight 8 min to reach the Earth Elena Kronberg: Space Weather Lecture 2: The Sun and the Solar Wind 2 / 39 The Sun: facts Age = 4.5×109 yr Mass = 1.99×1030 kg (330,000 Earth masses) Radius = 696,000 km (109 Earth radii) Mean distance from Earth (1AU) = 150×106 km (215 solar radii) Equatorial rotation period = '25 days Mass loss rate = 109 kg·s−1 It takes sunlight 8 min to reach the Earth The radiation power is '1.5 kW·m−2 at the distance of the Earth Elena Kronberg: Space Weather Lecture 2: The Sun and the Solar Wind 2 / 39 The Solar interior Core: 1H +1 H !2 H + e+ + n + 0.42 MeV 1H +2 He !3 H + g + 5.5 MeV 3He +3 He !4 He + 21H + 12.8 MeV The radiative zone: electromagnetic radiation transports energy outwards The convection zone: energy is transported by convection The photosphere – layer which emits visible light The chromosphere is the Sun’s atmosphere. -
Multi-Spacecraft Analysis of the Solar Coronal Plasma
Multi-spacecraft analysis of the solar coronal plasma Von der Fakultät für Elektrotechnik, Informationstechnik, Physik der Technischen Universität Carolo-Wilhelmina zu Braunschweig zur Erlangung des Grades einer Doktorin der Naturwissenschaften (Dr. rer. nat.) genehmigte Dissertation von Iulia Ana Maria Chifu aus Bukarest, Rumänien eingereicht am: 11.02.2015 Disputation am: 07.05.2015 1. Referent: Prof. Dr. Sami K. Solanki 2. Referent: Prof. Dr. Karl-Heinz Glassmeier Druckjahr: 2016 Bibliografische Information der Deutschen Nationalbibliothek Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografie; detaillierte bibliografische Daten sind im Internet über http://dnb.d-nb.de abrufbar. Dissertation an der Technischen Universität Braunschweig, Fakultät für Elektrotechnik, Informationstechnik, Physik ISBN uni-edition GmbH 2016 http://www.uni-edition.de © Iulia Ana Maria Chifu This work is distributed under a Creative Commons Attribution 3.0 License Printed in Germany Vorveröffentlichung der Dissertation Teilergebnisse aus dieser Arbeit wurden mit Genehmigung der Fakultät für Elektrotech- nik, Informationstechnik, Physik, vertreten durch den Mentor der Arbeit, in folgenden Beiträgen vorab veröffentlicht: Publikationen • Mierla, M., Chifu, I., Inhester, B., Rodriguez, L., Zhukov, A., 2011, Low polarised emission from the core of coronal mass ejections, Astronomy and Astrophysics, 530, L1 • Chifu, I., Inhester, B., Mierla, M., Chifu, V., Wiegelmann, T., 2012, First 4D Recon- struction of an Eruptive Prominence -
Three-Dimensional Convective Velocity Fields in the Solar Photosphere
Three-dimensional convective velocity fields in the solar photosphere 太陽光球大気における3次元対流速度場 Takayoshi OBA Doctor of Philosophy Department of Space and Astronautical Science, School of Physical sciences, SOKENDAI (The Graduate University for Advanced Studies) submitted 2018 January 10 3 Abstract The solar photosphere is well-defined as the solar surface layer, covered by enormous number of bright rice-grain-like spot called granule and the surrounding dark lane called intergranular lane, which is a visible manifestation of convection. A simple scenario of the granulation is as follows. Hot gas parcel rises to the surface owing to an upward buoyant force and forms a bright granule. The parcel decreases its temperature through the radiation emitted to the space and its density increases to satisfy the pressure balance with the surrounding. The resulting negative buoyant force works on the parcel to return back into the subsurface, forming a dark intergranular lane. The enormous amount of the kinetic energy deposited in the granulation is responsible for various kinds of astrophysical phenomena, e.g., heating the outer atmospheres (the chromosphere and the corona). To disentangle such granulation-driven phenomena, an essential step is to understand the three-dimensional convective structure by improving our current understanding, such as the above-mentioned simple scenario. Unfortunately, our current observational access is severely limited and is far from that objective, leaving open questions related to vertical and horizontal flows in the granula- tion, respectively. The first issue is several discrepancies in the vertical flows derived from the observation and numerical simulation. Past observational studies reported a typical magnitude relation, e.g., stronger upflow and weaker downflow, with typical amplitude of ≈ 1 km/s. -
The Sun's Dynamic Atmosphere
Lecture 16 The Sun’s Dynamic Atmosphere Jiong Qiu, MSU Physics Department Guiding Questions 1. What is the temperature and density structure of the Sun’s atmosphere? Does the atmosphere cool off farther away from the Sun’s center? 2. What intrinsic properties of the Sun are reflected in the photospheric observations of limb darkening and granulation? 3. What are major observational signatures in the dynamic chromosphere? 4. What might cause the heating of the upper atmosphere? Can Sound waves heat the upper atmosphere of the Sun? 5. Where does the solar wind come from? 15.1 Introduction The Sun’s atmosphere is composed of three major layers, the photosphere, chromosphere, and corona. The different layers have different temperatures, densities, and distinctive features, and are observed at different wavelengths. Structure of the Sun 15.2 Photosphere The photosphere is the thin (~500 km) bottom layer in the Sun’s atmosphere, where the atmosphere is optically thin, so that photons make their way out and travel unimpeded. Ex.1: the mean free path of photons in the photosphere and the radiative zone. The photosphere is seen in visible light continuum (so- called white light). Observable features on the photosphere include: • Limb darkening: from the disk center to the limb, the brightness fades. • Sun spots: dark areas of magnetic field concentration in low-mid latitudes. • Granulation: convection cells appearing as light patches divided by dark boundaries. Q: does the full moon exhibit limb darkening? Limb Darkening: limb darkening phenomenon indicates that temperature decreases with altitude in the photosphere. Modeling the limb darkening profile tells us the structure of the stellar atmosphere. -
The 2015 Senior Review of the Heliophysics Operating Missions
The 2015 Senior Review of the Heliophysics Operating Missions June 11, 2015 Submitted to: Steven Clarke, Director Heliophysics Division, Science Mission Directorate Jeffrey Hayes, Program Executive for Missions Operations and Data Analysis Submitted by the 2015 Heliophysics Senior Review panel: Arthur Poland (Chair), Luca Bertello, Paul Evenson, Silvano Fineschi, Maura Hagan, Charles Holmes, Randy Jokipii, Farzad Kamalabadi, KD Leka, Ian Mann, Robert McCoy, Merav Opher, Christopher Owen, Alexei Pevtsov, Markus Rapp, Phil Richards, Rodney Viereck, Nicole Vilmer. i Executive Summary The 2015 Heliophysics Senior Review panel undertook a review of 15 missions currently in operation in April 2015. The panel found that all the missions continue to produce science that is highly valuable to the scientific community and that they are an excellent investment by the public that funds them. At the top level, the panel finds: • NASA’s Heliophysics Division has an excellent fleet of spacecraft to study the Sun, heliosphere, geospace, and the interaction between the solar system and interstellar space as a connected system. The extended missions collectively contribute to all three of the overarching objectives of the Heliophysics Division. o Understand the changing flow of energy and matter throughout the Sun, Heliosphere, and Planetary Environments. o Explore the fundamental physical processes of space plasma systems. o Define the origins and societal impacts of variability in the Earth/Sun System. • All the missions reviewed here are needed in order to study this connected system. • Progress in the collection of high quality data and in the application of these data to computer models to better understand the physics has been exceptional. -
ESS 7 Lectures 3, 4,And 5 October 1, 3, and 6, 2008 The
ESSESS 77 LecturesLectures 3,3, 4,and4,and 55 OctoberOctober 1,1, 3,3, andand 6,6, 20082008 TheThe SunSun One of 100 Billion Stars in Our Galaxy Looking at the Sun • The north and south poles are at opposite ends of the rotation axis. • Because of the 7° tilt of the axis we are able to see the north pole for half a year and the south pole for the other half. • West and east are reversed relative to terrestrial maps. When you view the Sun from the northern hemisphere of the Earth you must look south to see the Sun and west is to your right as in this picture. • The image was taken in Hα. The bright area near central meridian is an active region. The dark line is a filament Electromagnetic Radiation • There is a relationship between a wave’s frequency, wavelength and velocity. V=λf. • High frequency radiation has more energy than low frequency radiation. E=hf where h is the Planck -34 -1 constant=6.6261X10 Js • Age = 4.5 x 109 years • Mass = 1.99 x 1030 kg. • Radius = 696,000 km ( = 696 Mm) • Mean density = 1.4 x 103 kg m-3 ( = 1.4 g cm-3) • Mean distance from Earth (1 AU) = 150 x 106 km ( = 215 solar radii) • Surface gravity = 274 m s-2 • Escape velocity at surface = 618 km s-1 • Radiation emitted (luminosity) = 3.86 x 1026 W • Equatorial rotation period = 27 days (varies with latitude) • Mass loss rate = 109 kg s-1 • Effective black body temperature = 5785 K • Inclination of Sun's equator to plane of Earth's orbit = 7° • Composition: 90% H, 10% He, 0.1% other elements (C, N, 0,...) 31 December 2005 BLACK BODY RADIATION CURVE AT DIFFERENT -
1988Apj. . .330. .474P the Astrophysical Journal, 330:474-479
.474P The Astrophysical Journal, 330:474-479,1988 July 1 © 1988. The American Astronomical Society. All rights reserved. Printed in U.S.A. .330. 1988ApJ. NANOFLARES AND THE SOLAR X-RAY CORONA1 E. N. Parker Enrico Fermi Institute and Departments of Physics and Astronomy, University of Chicago Received 1987 October 12; accepted 1987 December 29 ABSTRACT Observations of the Sun with high time and spatial resolution in UV and X-rays show that the emission from small isolated magnetic bipoles is intermittent and impulsive, while the steadier emission from larger bipoles appears as the sum of many individual impulses. We refer to the basic unit of impulsive energy release as a nanoflare. The observations suggest, then, that the active X-ray corona of the Sun is to be understood as a swarm of nanoflares. This interpretation suggests that the X-ray corona is created by the dissipation at the many tangential dis- continuities arising spontaneously in the bipolar fields of the active regions of the Sun as a consequence of random continuous motion of the footpoints of the field in the photospheric convection. The quantitative characteristics of the process are inferred from the observed coronal heat input. Subject headings: hydromagnetics — Sun: corona — Sun: flares I. INTRODUCTION corona. Indeed, it is just that disinclination that allows them to The X-ray corona of the Sun is composed of tenuous wisps penetrate the chromosphere and transition region to reach the of hot gas enclosed in strong (102 G) bipolar magnetic fields. corona. Various ideas have been proposed to facilitate dissi- The high temperature (2-3 x 106 K) of the gas is maintained pation (cf. -
Introduction to the Physics of Solar Eruptions and Their Space Weather Impact
Introduction to the physics of solar eruptions and their rsta.royalsocietypublishing.org space weather impact Vasilis Archontis1 and Loukas Vlahos2 Research 1 St Andrews University, School of Mathematics and Statistics, St Andrews KY 16 9SS, UK Article submitted to journal 2 Department of Physics, Aristotle University, 54124 Thessaloniki, Greece Subject Areas: Astrophysics, Plasma Physics, Space The physical processes, which drive powerful solar Weather eruptions, play an important role in our understanding of the Sun-Earth connection. In this Special Issue, we Keywords: firstly discuss how magnetic fields emerge from the Sun, magnetic fields, Coronal Mass solar interior to the solar surface, to build up active regions, which commonly host large-scale coronal Ejections disturbances, such as coronal mass ejections (CMEs). Then, we discuss the physical processes associated Author for correspondence: with the driving and triggering of these eruptions, the V. Archontis propagation of the large-scale magnetic disturbances e-mail: [email protected] through interplanetary space and the interaction of CMEs with Earth’s magnetic field. The acceleration mechanisms for the solar energetic particles related to explosive phenomena (e.g. flares and/or CMEs) in the solar corona are also discussed. The main aim of this Issue, therefore, is to encapsulate the present state- of-the-art in research related to the genesis of solar eruptions and their space-weather implications. This article is part of the theme issue ”Solar eruptions and their space weather impact”. arXiv:1905.08361v1 [astro-ph.SR] 20 May 2019 c The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited. -
What Do We See on the Face of the Sun? Lecture 3: the Solar Atmosphere the Sun’S Atmosphere
What do we see on the face of the Sun? Lecture 3: The solar atmosphere The Sun’s atmosphere Solar atmosphere is generally subdivided into multiple layers. From bottom to top: photosphere, chromosphere, transition region, corona, heliosphere In its simplest form it is modelled as a single component, plane-parallel atmosphere Density drops exponentially: (for isothermal atmosphere). T=6000K Hρ≈ 100km Density of Sun’s atmosphere is rather low – Mass of the solar atmosphere ≈ mass of the Indian ocean (≈ mass of the photosphere) – Mass of the chromosphere ≈ mass of the Earth’s atmosphere Stratification of average quiet solar atmosphere: 1-D model Typical values of physical parameters Temperature Number Pressure K Density dyne/cm2 cm-3 Photosphere 4000 - 6000 1015 – 1017 103 – 105 Chromosphere 6000 – 50000 1011 – 1015 10-1 – 103 Transition 50000-106 109 – 1011 0.1 region Corona 106 – 5 106 107 – 109 <0.1 How good is the 1-D approximation? 1-D models reproduce extremely well large parts of the spectrum obtained at low spatial resolution However, high resolution images of the Sun at basically all wavelengths show that its atmosphere has a complex structure Therefore: 1-D models may well describe averaged quantities relatively well, although they probably do not describe any particular part of the real Sun The following images illustrate inhomogeneity of the Sun and how the structures change with the wavelength and source of radiation Photosphere Lower chromosphere Upper chromosphere Corona Cartoon of quiet Sun atmosphere Photosphere The photosphere Photosphere extends between solar surface and temperature minimum (400-600 km) It is the source of most of the solar radiation. -
A Nanoflare Distribution Generated by Repeated Relaxations Triggered By
A&A 521, A70 (2010) Astronomy DOI: 10.1051/0004-6361/201014067 & c ESO 2010 Astrophysics A nanoflare distribution generated by repeated relaxations triggered by kink instability M. R. Bareford1,P.K.Browning1, and R. A. M. Van der Linden2 1 Jodrell Bank Centre for Astrophysics, Alan Turing Building, School of Physics and Astronomy, The University of Manchester, Oxford Road, Manchester M13 9PL, UK e-mail: [email protected] 2 SIDC, Royal Observatory of Belgium, Ringlaan 3, 1180 Brussels, Belgium Received 14 Juanary 2010 / Accepted 5 August 2010 ABSTRACT Context. It is thought likely that vast numbers of nanoflares are responsible for the corona having a temperature of millions of degrees. Current observational technologies lack the resolving power to confirm the nanoflare hypothesis. An alternative approach is to construct a magnetohydrodynamic coronal loop model that has the ability to predict nanoflare energy distributions. Aims. This paper presents the initial results generated by a coronal loop model that flares whenever it becomes unstable to an ideal MHD kink mode. A feature of the model is that it predicts heating events with a range of sizes, depending on where the instability threshold for linear kink modes is encountered. The aims are to calculate the distribution of event energies and to investigate whether kink instability can be predicted from a single parameter. Methods. The loop is represented as a straight line-tied cylinder. The twisting caused by random photospheric motions is captured by two parameters, representing the ratio of current density to field strength for specific regions of the loop.