Classification of Coronal Mass Ejections and Image Processing Techniques

Similar documents
Solar Observation Class Project

Acceleration of the Solar Wind

Objective: Use a series of images taken by the SOHO satellite to estimate the velocity of the solar material leaving the sun.

Objective: Use a series of images taken by the SOHO satellite to estimate the velocity of the solar material leaving the sun.

Summer School Lab Activities

The Sun. Never look directly at the Sun, especially NOT through an unfiltered telescope!!

Radio Observations and Space Weather Research

Tracking Sunspots. Overview: Objectives: Lesson Preparation: Procedure: Details. Materials. Standards

Testing Automated CME Detection Algorithms for Space Weather Forecasting

Astronomy 101 Lab: Solar Observing

Using This Flip Chart

Interplanetary coronal mass ejections that are undetected by solar coronagraphs

HELCATS: HELIOSPHERIC CATALOGUING, ANALYSIS AND TECHNIQUE SERVICE. Work Package 2

Tracking Solar Eruptions to Their Impact on Earth Carl Luetzelschwab K9LA September 2016 Bonus

An Introduction to Space Weather. J. Burkepile High Altitude Observatory / NCAR

The Dancing Lights Program

ASPIICS: a Giant Solar Coronagraph onboard the PROBA-3 Mission

The Depiction of Coronal Structure in White Light Images

Coronal Holes. Detection in STEREO/EUVI and SDO/AIA data and comparison to a PFSS model. Elizabeth M. Dahlburg

Goddard Space Flight Center

Lecture Tutorial: Measuring the Frequency and Period of Sunspots

The importance of ground-based observations of the solar corona

Next Generation UV Coronagraph Instrumentation for Solar Cycle-24

Multi-wavelength VLA and Spacecraft Observations of Evolving Coronal Structures Outside Flares

An L5 Mission Concept for Compelling New Space Weather Science

STCE Newsletter. 7 Dec Dec 2015

Update of the Photometric Calibration of the LASCO-C2 Coronagraph Using Stars

AIA DATA ANALYSIS OVERVIEW OF THE AIA INSTRUMENT

EUHFORIA: Modeling the dangers of the sun.

The Magnetic Sun. CESAR s Booklet

Gordon Petrie NSO, Boulder, Colorado, USA

Solar Energetic Particles in the Inner Heliosphere

Visibility of coronal mass ejections as a function of flare location and intensity

AIR FORCE INSTITUTE OF TECHNOLOGY

MHD MODELING FOR HMI JON A. LINKER SCIENCE APPLICATIONS INTL. CORP. SAN DIEGO

The Structure of the Sun. CESAR s Booklet

INAF-Osservatorio astrofisico di Torino Technical Report nr. 167

1. INTRODUCTION. Received 2002 September 11; accepted 2002 November 26

Ooty Radio Telescope Space Weather

Improved input to the empirical coronal mass ejection (CME) driven shock arrival model from CME cone models

Exploring the Solar Wind with Ultraviolet Light

Astron 104 Laboratory #4 Orbital Motion of a Planet

ASTRONOMY. Chapter 15 THE SUN: A GARDEN-VARIETY STAR PowerPoint Image Slideshow

Long term data for Heliospheric science Nat Gopalswamy NASA Goddard Space Flight Center Greenbelt, MD 20771, USA

Progress of MHD Simulations for the Interplanetary Propagation of Coronal Mass Ejections

HELCATS WP7 Update - overview. Mario Bisi on behalf of Jonathan Eastwood HELCATS month 12 meeting, May 2015, Göttingen, Germany

The Project. National Schools Observatory

Module 4: Astronomy - The Solar System Topic 2 Content: Solar Activity Presentation Notes

INVESTIGATING SOLAR CYCLES

Introduction. Name: Basic Features of Sunspots. The Solar Rotational Period. Sunspot Numbers

The Automatic Detection and Tracking of Interplanetary Coronal Mass Ejections (ICMEs) By Robin Thompson Supervised by Dr Tim Howard, SwRI

A universal characteristic of type II radio bursts

FARSIDE HELIOSEISMIC HOLOGRAPHY: RECENT ADVANCES

Geomagnetic Disturbance Report Reeve Observatory

The Solar Wind Space physics 7,5hp

Lab #2: Activity 5 Exploring the Structure of the Solar Magnetic Field Using the MAS Model

SECCHI/Heliospheric Imager Science Studies

Astronomy 154 Lab 4: The Sun. NASA Image comparing the Earth with the Sun. Image from:

SOLAR ORBITER Linking the Sun and Inner Heliosphere. Daniel Müller

The information you need will be on the internet. Please label your data with the link you used, in case we need to look at the data again.

Tracking halo coronal mass ejections from 0 1 AU and space weather forecasting using the Solar Mass Ejection Imager (SMEI)

A Concept for Real-Time Solar Wind Monitor at Multiple Locations

1. INTRODUCTION 2. THE DATA

Turbulent Origins of the Sun s Hot Corona and the Solar Wind

Solar Flare Durations

Exploiting Virtual Observatory and Information Technology: Techniques for Astronomy

TPFEL: Ch. 8: Torque and Angular Momentum (cont d)

On 1 September 1859, a small white light flare erupted on the Solar surface

STATISTICAL PROPERTIES OF FAST FORWARD TRANSIENT INTERPLANETARY SHOCKS AND ASSOCIATED ENERGETIC PARTICLE EVENTS: ACE OBSERVATIONS

Astronomy: Exploring the Universe

Coronal Mass Ejections in the Heliosphere

Lecture 17 The Sun October 31, 2018

Get ready for quiz # 5! Get out a ½ sheet and Calculator

Predictions for Dusty Mass Loss from Asteroids during Close Encounters with Solar Probe Plus

The Interior Structure of the Sun

2013 REU Summary. David Stauffer. Augus 7, 2013

PHAS : Tracking Sunspots

Lecture Outlines. Chapter 6. Astronomy Today 7th Edition Chaisson/McMillan Pearson Education, Inc.

Astronomy: Exploring the Universe

The largest geomagnetic storm of solar cycle 23 occurred on 2003 November 20 with a

pre Proposal in response to the 2010 call for a medium-size mission opportunity in ESA s science programme for a launch in 2022.

Observations of the White Light Corona from Solar Orbiter and Solar Probe Plus

Connecting Magnetic Clouds to Solar Surface Features

Numerical simulations of ICME-ICME interactions

A catalog of white light coronal mass ejections observed by the SOHO spacecraft

U.S. DOD - Air Force Office of Scientific Research Report Type: Final Technical Report

Teacher Background: The Dancing Lights Program

Lecture 5 The Formation and Evolution of CIRS

International Journal of Scientific Research and Reviews

Solar Cycle Variation of Interplanetary Coronal Mass Ejection Latitudes

GraspIT Questions AQA GCSE Physics Space physics

Logistics 2/13/18. Topics for Today and Thur+ Helioseismology: Millions of sound waves available to probe solar interior. ASTR 1040: Stars & Galaxies

Student s guide CESAR Science Case The differential rotation of the Sun and its Chromosphere

AST111, Lecture 1b. Measurements of bodies in the solar system (overview continued) Orbital elements

Astronomy 210 Midterm #2

Characterization of the exoplanet host stars. Exoplanets Properties of the host stars. Characterization of the exoplanet host stars

1. Abstract. 2. Introduction

Solar Activity during the Rising Phase of Solar Cycle 24

Date of delivery: 5 May 2016 Journal and vol/article ref: IAU Number of pages (not including this page): 3

Solar Magnetic Fields Jun 07 UA/NSO Summer School 1

Transcription:

Classification of Coronal Mass Ejections and Image Processing Techniques Chris Lowder Institute for Astronomy, University of Hawai i at Manoa Advisor : Dr. Shadia Habbal Department of Physics, Georgia Institute of Technology Coronal Mass Ejections are known sometimes for their graceful and majestic outflowing from the sun. They are also sometimes characterized by outbursts of great velocity. This paper seeks to classify these CMEs based on a variety of factors. The velocity of the CME is one such factor, as is the structure of the CME itself. The outer edge and the inner core of the CME move at different velocities, and this difference can track the structural evolution of the outburst. Another factor is the angular separation of the "legs" of the CME. All of these factors make it possible to analyze these Coronal Mass Ejections, and to classify them according to certain characteristics. Introduction and Overview Coronal mass ejections occur frequently on the sun, with minor ones occurring daily. Using the SolarSoft CME Search provided by NASA and others, CME data can be reviewed. This data was captured by the Large Angle and Spectrometric Coronagraph (LASCO) aboard the Solar and Heliospheric Observatory (SOHO) spacecraft. Stationed at the L1 point, the SOHO spacecraft provides an unobstructed view of solar activity. Using this data, the database was combed for the most powerful CME candidates for 1998 through 2000 as well as some data from 2005. This provides a glimpse into CME activity during solar minimum as well as maximum. Detailed images were acquired and processed for this collection of powerful CMEs, enhancing details visible in the structure of the CME. Measurements were then taken on these enhanced images, providing height-time data for each CME event. Using this data, qualities such as velocity and CME depth were derived. The CMEs at this point were classified according to these qualities. Gathering Raw Images CME candidates were gathered using the database provided at http://www.lmsal.com/solarsoft/www_getcme_list.html. CMEs are observed using this database, finding those suitable for study. After a list is arrived at of potential CMEs, a second database is called upon, located at http://lasco-www.nrl.navy.mil/cgibin/lwdb/lasco/images/form. Raw images are requested through this repository, and downloaded in packages.

Processing Images The raw images provided by the LASCO query form contain information, just not in the right form for the purpose of this study. The brightness of the sun (the disk of which is occulted) peaks just outside the occulting disk. This brightness then falls off incredibly quickly, reaching almost zero brightness in the images. While the brightness can yield interesting results, this study is concerned with the structure of coronal mass ejections. Using previously developed code, the structure is revealed in these raw images. This process begins outside the occulting disk and works in a radial fashion. It progresses through a series of circles of pixels, normalizing each. The lowest and highest brightness values in each circle are noted, and this narrow range is then scaled up to fill the entire range from black to white in the image. This normalization reveals details that are otherwise lost in the great brightness contrast. Figures 1 shows the stark difference before and after image processing. Gathering Data Figure 1 Unprocessed image (left) and processed image (right) Code was developed in IDL that allows for the easy tracking of CME structure. The program progresses through the series of images in each CME, presenting each in a window on the screen. The researcher then uses the mouse to select several points on the image simply by clicking directly on the image. The points studied were the outer edge, the inner core, and the two legs of the CME. The program takes these values and outputs the position (in solar radii) and the angle. With these values the structure of the CME can be tracked over time.

Reviewing Data Figure 2 Position-time plot for the edge and core of a CME Figure 3 Position-time plot for the edge and core of a CME

In the previous figures, the plus symbols represent the position of the edge of the CME, while the diamonds correspond to the core position of the CME. Figure 2 reveals a CME with large velocity. The entire event occurs within a timeframe on the order of five hours. Figure 3, on the other hand, details a CME with a much lower velocity. The CME of figure 3 slowly eases away over the course of 17 hours. Both figures, however, show the fact that the edge and core seem to progress for the most part together. After gathering data from a number of cases, the edge and core velocities were recorded and compared. Figure 4 Core velocity versus edge velocity From the data presented in figure 4, a correlation exists between the velocity of the edge and the velocity of the core. This matches with the apparent lock-step movement of the edge and core. However, this correlation is slightly skewed, with a tendency for the edge to move faster than the core. So what else can the velocities of CMEs reveal? The dataset collected was purposefully chosen to span over a range of years, reaching into both the maximum as well as the minimum periods of solar activity.

Figure 5 Structure velocity versus year The black tick marks of figure 5 represent the edge velocity, while the red serve for the core velocity. For the years from 1998 to 2000 there appears to be an increase in maximum velocity as the years progress. When data collection continued in 2005, the maximum velocity is much larger than in earlier years. It then decreases for the year 2006.

Figure 6 Histogram of structure velocity The histogram presented by figure 6 shows the edge velocities in black and the core velocities in red. Both the edge and the core follow a similar distribution. The majority of CMEs are of slower velocity, with the number decreasing with increasing velocity. Reviewing Data The edge and core of the CME evolve differently with time. They follow a similar path, but with the edge accelerating more quickly than the core. When looking at the distribution of edge and core velocities over time, there seems to be a correlation between maximum velocity and the time period. During solar maximum the CMEs appear slower than in the region of solar minimum. The histogram distribution shows more CMEs in the slower regime, which is curious in that it does not follow a more bell-shaped distribution but rather peaks with slow CMEs. Future Work Developments in processing techniques allow for the study of images from the C3 camera as well as that of C2. This greatly expands the viewable range, and allows for study of structural evolution far beyond the original limits of the C2 camera. Work can also be continued by expanding the scope of the study to include more data points in the years from 2001 to 2004. This will give more data in general to work with, and will help answer questions concerning how CME strength changes with the solar cycle.