Radiative Transfer in Stellar Atmospheres
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THE EVOLUTION of SOLAR FLUX from 0.1 Nm to 160Μm: QUANTITATIVE ESTIMATES for PLANETARY STUDIES
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by St Andrews Research Repository The Astrophysical Journal, 757:95 (12pp), 2012 September 20 doi:10.1088/0004-637X/757/1/95 C 2012. The American Astronomical Society. All rights reserved. Printed in the U.S.A. THE EVOLUTION OF SOLAR FLUX FROM 0.1 nm TO 160 μm: QUANTITATIVE ESTIMATES FOR PLANETARY STUDIES Mark W. Claire1,2,3, John Sheets2,4, Martin Cohen5, Ignasi Ribas6, Victoria S. Meadows2, and David C. Catling7 1 School of Environmental Sciences, University of East Anglia, Norwich, UK NR4 7TJ; [email protected] 2 Virtual Planetary Laboratory and Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195, USA 3 Blue Marble Space Institute of Science, P.O. Box 85561, Seattle, WA 98145-1561, USA 4 Department of Physics & Astronomy, University of Wyoming, Box 204C, Physical Sciences, Laramie, WY 82070, USA 5 Radio Astronomy Laboratory, University of California, Berkeley, CA 94720-3411, USA 6 Institut de Ciencies` de l’Espai (CSIC-IEEC), Facultat de Ciencies,` Torre C5 parell, 2a pl, Campus UAB, E-08193 Bellaterra, Spain 7 Virtual Planetary Laboratory and Department of Earth and Space Sciences, University of Washington, Box 351310, Seattle, WA 98195, USA Received 2011 December 14; accepted 2012 August 1; published 2012 September 6 ABSTRACT Understanding changes in the solar flux over geologic time is vital for understanding the evolution of planetary atmospheres because it affects atmospheric escape and chemistry, as well as climate. We describe a numerical parameterization for wavelength-dependent changes to the non-attenuated solar flux appropriate for most times and places in the solar system. -
ASTR 545 Module 2 HR Diagram 08.1.1 Spectral Classes: (A) Write out the Spectral Classes from Hottest to Coolest Stars. Broadly
ASTR 545 Module 2 HR Diagram 08.1.1 Spectral Classes: (a) Write out the spectral classes from hottest to coolest stars. Broadly speaking, what are the primary spectral features that define each class? (b) What four macroscopic properties in a stellar atmosphere predominantly govern the relative strengths of features? (c) Briefly provide a qualitative description of the physical interdependence of these quantities (hint, don’t forget about free electrons from ionized atoms). 08.1.3 Luminosity Classes: (a) For an A star, write the spectral+luminosity class for supergiant, bright giant, giant, subgiant, and main sequence star. From the HR diagram, obtain approximate luminosities for each of these A stars. (b) Compute the radius and surface gravity, log g, of each luminosity class assuming M = 3M⊙. (c) Qualitative describe how the Balmer hydrogen lines change in strength and shape with luminosity class in these A stars as a function of surface gravity. 10.1.2 Spectral Classes and Luminosity Classes: (a,b,c,d) (a) What is the single most important physical macroscopic parameter that defines the Spectral Class of a star? Write out the common Spectral Classes of stars in order of increasing value of this parameter. For one of your Spectral Classes, include the subclass (0-9). (b) Broadly speaking, what are the primary spectral features that define each Spectral Class (you are encouraged to make a small table). How/Why (physically) do each of these depend (change with) the primary macroscopic physical parameter? (c) For an A type star, write the Spectral + Luminosity Class notation for supergiant, bright giant, giant, subgiant, main sequence star, and White Dwarf. -
Chapter 16 the Sun and Stars
Chapter 16 The Sun and Stars Stargazing is an awe-inspiring way to enjoy the night sky, but humans can learn only so much about stars from our position on Earth. The Hubble Space Telescope is a school-bus-size telescope that orbits Earth every 97 minutes at an altitude of 353 miles and a speed of about 17,500 miles per hour. The Hubble Space Telescope (HST) transmits images and data from space to computers on Earth. In fact, HST sends enough data back to Earth each week to fill 3,600 feet of books on a shelf. Scientists store the data on special disks. In January 2006, HST captured images of the Orion Nebula, a huge area where stars are being formed. HST’s detailed images revealed over 3,000 stars that were never seen before. Information from the Hubble will help scientists understand more about how stars form. In this chapter, you will learn all about the star of our solar system, the sun, and about the characteristics of other stars. 1. Why do stars shine? 2. What kinds of stars are there? 3. How are stars formed, and do any other stars have planets? 16.1 The Sun and the Stars What are stars? Where did they come from? How long do they last? During most of the star - an enormous hot ball of gas day, we see only one star, the sun, which is 150 million kilometers away. On a clear held together by gravity which night, about 6,000 stars can be seen without a telescope. -
STELLAR SPECTRA A. Basic Line Formation
STELLAR SPECTRA A. Basic Line Formation R.J. Rutten Sterrekundig Instituut Utrecht February 6, 2007 Copyright c 1999 Robert J. Rutten, Sterrekundig Instuut Utrecht, The Netherlands. Copying permitted exclusively for non-commercial educational purposes. Contents Introduction 1 1 Spectral classification (“Annie Cannon”) 3 1.1 Stellar spectra morphology . 3 1.2 Data acquisition and spectral classification . 3 1.3 Introduction to IDL . 4 1.4 Introduction to LaTeX . 4 2 Saha-Boltzmann calibration of the Harvard sequence (“Cecilia Payne”) 7 2.1 Payne’s line strength diagram . 7 2.2 The Boltzmann and Saha laws . 8 2.3 Schadee’s tables for schadeenium . 12 2.4 Saha-Boltzmann populations of schadeenium . 14 2.5 Payne curves for schadeenium . 17 2.6 Discussion . 19 2.7 Saha-Boltzmann populations of hydrogen . 19 2.8 Solar Ca+ K versus Hα: line strength . 21 2.9 Solar Ca+ K versus Hα: temperature sensitivity . 24 2.10 Hot stars versus cool stars . 24 3 Fraunhofer line strengths and the curve of growth (“Marcel Minnaert”) 27 3.1 The Planck law . 27 3.2 Radiation through an isothermal layer . 29 3.3 Spectral lines from a solar reversing layer . 30 3.4 The equivalent width of spectral lines . 33 3.5 The curve of growth . 35 Epilogue 37 References 38 Text available at \tthttp://www.astro.uu.nl/~rutten/education/rjr-material/ssa (or via “Rob Rutten” in Google). Introduction These three exercises concern the appearance and nature of spectral lines in stellar spectra. Stellar spectrometry laid the foundation of astrophysics in the hands of: – Wollaston (1802): first observation of spectral lines in sunlight; – Fraunhofer (1814–1823): rediscovery of spectral lines in sunlight (“Fraunhofer lines”); their first systematic inventory. -
Spectral Classification and HR Diagram of Pre-Main Sequence Stars in NGC 6530
A&A 546, A9 (2012) Astronomy DOI: 10.1051/0004-6361/201219853 & c ESO 2012 Astrophysics Spectral classification and HR diagram of pre-main sequence stars in NGC 6530,, L. Prisinzano, G. Micela, S. Sciortino, L. Affer, and F. Damiani INAF – Osservatorio Astronomico di Palermo, Piazza del Parlamento, Italy 1, 90134 Palermo, Italy e-mail: [email protected] Received 20 June 2012 / Accepted 3 August 2012 ABSTRACT Context. Mechanisms involved in the star formation process and in particular the duration of the different phases of the cloud contrac- tion are not yet fully understood. Photometric data alone suggest that objects coexist in the young cluster NGC 6530 with ages from ∼1 Myr up to 10 Myr. Aims. We want to derive accurate stellar parameters and, in particular, stellar ages to be able to constrain a possible age spread in the star-forming region NGC 6530. Methods. We used low-resolution spectra taken with VLT/VIMOS and literature spectra of standard stars to derive spectral types of a subsample of 94 candidate members of this cluster. Results. We assign spectral types to 86 of the 88 confirmed cluster members and derive individual reddenings. Our data are better fitted by the anomalous reddening law with RV = 5. We confirm the presence of strong differential reddening in this region. We derive fundamental stellar parameters, such as effective temperatures, photospheric colors, luminosities, masses, and ages for 78 members, while for the remaining 8 YSOs we cannot determine the interstellar absorption, since they are likely accretors, and their V − I colors are bluer than their intrinsic colors. -
Surfing on a Flash of Light from an Exploding Star ______By Abraham Loeb on December 26, 2019
Surfing on a Flash of Light from an Exploding Star _______ By Abraham Loeb on December 26, 2019 A common sight on the beaches of Hawaii is a crowd of surfers taking advantage of a powerful ocean wave to reach a high speed. Could extraterrestrial civilizations have similar aspirations for sailing on a powerful flash of light from an exploding star? A light sail weighing less than half a gram per square meter can reach the speed of light even if it is separated from the exploding star by a hundred times the distance of the Earth from the Sun. This results from the typical luminosity of a supernova, which is equivalent to a billion suns shining for a month. The Sun itself is barely capable of accelerating an optimally designed sail to just a thousandth of the speed of light, even if the sail starts its journey as close as ten times the Solar radius – the closest approach of the Parker Solar Probe. The terminal speed scales as the square root of the ratio between the star’s luminosity over the initial distance, and can reach a tenth of the speed of light for the most luminous stars. Powerful lasers can also push light sails much better than the Sun. The Breakthrough Starshot project aims to reach several tenths of the speed of light by pushing a lightweight sail for a few minutes with a laser beam that is ten million times brighter than sunlight on Earth (with ten gigawatt per square meter). Achieving this goal requires a major investment in building the infrastructure needed to produce and collimate the light beam. -
Sludgefinder 2 Sixth Edition Rev 1
SludgeFinder 2 Instruction Manual 2 PULSAR MEASUREMENT SludgeFinder 2 (SIXTH EDITION REV 1) February 2021 Part Number M-920-0-006-1P COPYRIGHT © Pulsar Measurement, 2009 -21. All rights reserved. No part of this publication may be reproduced, transmitted, transcribed, stored in a retrieval system, or translated into any language in any form without the written permission of Pulsar Process Measurement Limited. WARRANTY AND LIABILITY Pulsar Measurement guarantee for a period of 2 years from the date of delivery that it will either exchange or repair any part of this product returned to Pulsar Process Measurement Limited if it is found to be defective in material or workmanship, subject to the defect not being due to unfair wear and tear, misuse, modification or alteration, accident, misapplication, or negligence. Note: For a VT10 or ST10 transducer the period of time is 1 year from date of delivery. DISCLAIMER Pulsar Measurement neither gives nor implies any process guarantee for this product and shall have no liability in respect of any loss, injury or damage whatsoever arising out of the application or use of any product or circuit described herein. Every effort has been made to ensure accuracy of this documentation, but Pulsar Measurement cannot be held liable for any errors. Pulsar Measurement operates a policy of constant development and improvement and reserves the right to amend technical details, as necessary. The SludgeFinder 2 shown on the cover of this manual is used for illustrative purposes only and may not be representative -
Pulsar's PVT Measures Astronaut's Behavioral Alertness While on The
Pulsar’s PVT measures astronaut’s behavioral alertness while on the ISS Dec 2012 R&D Case Studies Challenges The demands placed on an astronaut—who must both subsist in an artificial environment and carry out mission objectives—require that he or she operate at peak alertness. Long-distant verbal check- ins with medical personnel are not sufficient to provide timely, quantitative measurements of an astronaut’s vigilance. Pulsar’s president and CEO Daniel Mollicone trained with Dinges at the university en route to earning his doctorate in Improve the overall health biomedical engineering. In 2006 Dinges asked Mollicone, who and performance of our astronauts. had worked on NASA projects in the past, if the company could develop the software for ISS. Products and services Solution PVT For astronauts working aboard the International Space Station (ISS) in low-Earth orbit, getting adequate sleep is a challenge. For one, there’s that demanding and often unpredictable schedule. Maybe there’s an experiment needing attention one minute, a vehicle docking the next, followed by unexpected station repairs that need immediate attention. Next among sleep inhibitors is the catalogue of microgravityrelated ailments, such as aching joints and backs, motion sickness, and uncomfortable sleeping positions. “When people get high And then there is the body’s thrown-off perception of time. Because on the ISS the Sun rises and sets every 45 fatigue scores on the minutes, the body’s circadian rhythm—the internal clock that, among its functions, regulates the sleep cycle PVT they always say, based on Earth’s 24-hour rotation—falls out of sync. -
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. -
SYNTHETIC SPECTRA for SUPERNOVAE Time a Basis for a Quantitative Interpretation. Eight Typical Spectra, Show
264 ASTRONOMY: PA YNE-GAPOSCHKIN AND WIIIPPLE PROC. N. A. S. sorption. I am indebted to Dr. Morgan and to Dr. Keenan for discussions of the problems of the calibration of spectroscopic luminosities. While these results are of a preliminary nature, it is apparent that spec- troscopic absolute magnitudes of the supergiants can be accurately cali- brated, even if few stars are available. For a calibration of a group of ten stars within Om5 a mean distance greater than one kiloparsec is necessary; for supergiants this requirement would be fulfilled for stars fainter than the sixth magnitude. The errors of the measured radial velocities need only be less than the velocity dispersion, that is, less than 8 km/sec. 1 Stebbins, Huffer and Whitford, Ap. J., 91, 20 (1940). 2 Greenstein, Ibid., 87, 151 (1938). 1 Stebbins, Huffer and Whitford, Ibid., 90, 459 (1939). 4Pub. Dom., Alp. Obs. Victoria, 5, 289 (1936). 5 Merrill, Sanford and Burwell, Ap. J., 86, 205 (1937). 6 Pub. Washburn Obs., 15, Part 5 (1934). 7Ap. J., 89, 271 (1939). 8 Van Rhijn, Gron. Pub., 47 (1936). 9 Adams, Joy, Humason and Brayton, Ap. J., 81, 187 (1935). 10 Merrill, Ibid., 81, 351 (1935). 11 Stars of High Luminosity, Appendix A (1930). SYNTHETIC SPECTRA FOR SUPERNOVAE By CECILIA PAYNE-GAPOSCHKIN AND FRED L. WHIPPLE HARVARD COLLEGE OBSERVATORY Communicated March 14, 1940 Introduction.-The excellent series of spectra of the supernovae in I. C. 4182 and N. G. C. 1003, published by Minkowski,I present for the first time a basis for a quantitative interpretation. Eight typical spectra, show- ing the major stages of the development during the first two hundred days, are shown in figure 1; they are directly reproduced from Minkowski's microphotometer tracings, with some smoothing for plate grain. -
Stellar Atmospheres I – Overview
Indo-German Winter School on Astrophysics Stellar atmospheres I { overview Hans-G. Ludwig ZAH { Landessternwarte, Heidelberg ZAH { Landessternwarte 0.1 Overview What is the stellar atmosphere? • observational view Where are stellar atmosphere models needed today? • ::: or why do we do this to us? How do we model stellar atmospheres? • admittedly sketchy presentation • which physical processes? which approximations? • shocking? Next step: using model atmospheres as \background" to calculate the formation of spectral lines •! exercises associated with the lecture ! Linux users? Overview . TOC . FIN 1.1 What is the atmosphere? Light emitting surface layers of a star • directly accessible to (remote) observations • photosphere (dominant radiation source) • chromosphere • corona • wind (mass outflow, e.g. solar wind) Transition zone from stellar interior to interstellar medium • connects the star to the 'outside world' All energy generated in a star has to pass through the atmosphere Atmosphere itself usually does not produce additional energy! What? . TOC . FIN 2.1 The photosphere Most light emitted by photosphere • stellar model atmospheres often focus on this layer • also focus of these lectures ! chemical abundances Thickness ∆h, some numbers: • Sun: ∆h ≈ 1000 km ? Sun appears to have a sharp limb ? curvature effects on the photospheric properties small solar surface almost ’flat’ • white dwarf: ∆h ≤ 100 m • red super giant: ∆h=R ≈ 1 Stellar evolution, often: atmosphere = photosphere = R(T = Teff) What? . TOC . FIN 2.2 Solar photosphere: rather homogeneous but ::: What? . TOC . FIN 2.3 Magnetically active region, optical spectral range, T≈ 6000 K c Royal Swedish Academy of Science (1000 km=tick) What? . TOC . FIN 2.4 Corona, ultraviolet spectral range, T≈ 106 K (Fe IX) c Solar and Heliospheric Observatory, ESA & NASA (EIT 171 A˚ ) What? . -
A COMPREHENSIVE STUDY of SUPERNOVAE MODELING By
A COMPREHENSIVE STUDY OF SUPERNOVAE MODELING by Chengdong Li BS, University of Science and Technology of China, 2006 MS, University of Pittsburgh, 2007 Submitted to the Graduate Faculty of the Dietrich School of Arts and Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2013 UNIVERSITY OF PITTSBURGH PHYSICS AND ASTRONOMY DEPARTMENT This dissertation was presented by Chengdong Li It was defended on January 22nd 2013 and approved by John Hillier, Professor, Department of Physics and Astronomy Rupert Croft, Associate Professor, Department of Physics Steven Dytman, Professor, Department of Physics and Astronomy Michael Wood-Vasey, Assistant Professor, Department of Physics and Astronomy Andrew Zentner, Associate Professor, Department of Physics and Astronomy Dissertation Director: John Hillier, Professor, Department of Physics and Astronomy ii Copyright ⃝c by Chengdong Li 2013 iii A COMPREHENSIVE STUDY OF SUPERNOVAE MODELING Chengdong Li, PhD University of Pittsburgh, 2013 The evolution of massive stars, as well as their endpoints as supernovae (SNe), is important both in astrophysics and cosmology. While tremendous progress towards an understanding of SNe has been made, there are still many unanswered questions. The goal of this thesis is to study the evolution of massive stars, both before and after explosion. In the case of SNe, we synthesize supernova light curves and spectra by relaxing two assumptions made in previous investigations with the the radiative transfer code cmfgen, and explore the effects of these two assumptions. Previous studies with cmfgen assumed γ-rays from radioactive decay deposit all energy into heating. However, some of the energy excites and ionizes the medium.