CME Initiation: The Matrix Reloaded David Alexander, Rice University

1. CME Initiation: The Matrix Reloaded David Alexander, Rice University

2. Klimchuk Matrix (2000) What are the key observations that can discriminate among the models?

3. Vector B Chromospheric field Photospheric flows Magnetic morphology Emerging/canceling flux Role of reconnection Role of flares Role of filaments Magnetic complexity Helicity evolution Fluxrope formation Triggering phenomena … Accurate H-T and V-T profiles Location of peak acceleration Role of solar wind Relationship to magnetic clouds Interaction with IP medium Flare vs. prominence divide Role of helicity (expulsion?) Changes in magnetic topology Eruption of sheared core field Timing/location of reconnection Production of shocks Wave activity … Understanding the CME process observationally Pre-event solar atmosphere CME Acceleration Modeling Initial + boundary conditions Physical assumptions Driving mechanism ambient conditions Reconnection Heating, Cooling Particle acceleration Shock formation … Ultimate challenge: determine key observational/modeling overlaps and utilize these to provide most appropriate I.C.s and most useful comparisons of model outputs

4. Pre-event solar atmosphere CME Acceleration Observational needs: high cadence low-to-high coronal multi- wavelength observations stereoscopically derived morphology and velocity evolution Modeling needs: specify factors which determine acceleration identify correct boundary conditions how do models distinguish between fast and slow events identify model discriminators in the data Observational needs: high cadence vector B high cadence continuum Ha filament obs. (inc. Doppler) Modeling needs: include reconnection physics (particles?) inc. observed field configurations and evolution investigate role of emerging/canceling flux incorporate flow fields track helicity ….

5. How do we define a realistic challenge and how do we meet it? 3 approaches: - wait until spatial, temporal resolution and source region complexity can be incorporated - Tackle in detail an individual event (e.g. 1997 May 12) - select 2-3 common phenomena which can be realistically incorporated into the ‘generic’ models e.g. kinking, failed-partial-full eruption, reformation of pre-eruption configuration Non-starter Providing great insight and driving model development Broader application to common processes describing events

6. The Matrix Reloaded Example template of dialog matrix: models Definition of Model Observational input/comparison Improving models

7. The Matrix Reloaded Example template of dialog matrix: observations Observational characteristics Relationship to model parameters Improving observations

8. Dialog template would have additional fields for • Definitions and nomenclature • Brief discussions • Physical quantities: input data/ parameters, output observables, methods for direct comparisons • Specify the metric and basis for comparisons • Key references • Point-counterpoint • Emphasis on specific argument and evidence; new observations needed to resolve issues