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Three-dimensional magnetic reconnection and its application to solar flares

Published online by Cambridge University Press:  30 January 2017

Miho Janvier*
Affiliation:
Institut d’Astrophysique Spatiale, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Bât. 121, 91405 Orsay CEDEX, France
*
Email address for correspondence: miho.janvier@ias.u-psud.fr
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Abstract

Solar flares are powerful radiations occurring in the Sun’s atmosphere. They are powered by magnetic reconnection, a phenomenon that can convert magnetic energy into other forms of energy such as heat and kinetic energy, and which is believed to be ubiquitous in the universe. With the ever increasing spatial and temporal resolutions of solar observations, as well as numerical simulations benefiting from increasing computer power, we can now probe into the nature and the characteristics of magnetic reconnection in three dimensions to better understand the phenomenon’s consequences during eruptive flares in our star’s atmosphere. We review in the following the efforts made on different fronts to approach the problem of magnetic reconnection. In particular, we will see how understanding the magnetic topology in three dimensions helps in locating the most probable regions for reconnection to occur, how the current layer evolves in three dimensions and how reconnection leads to the formation of flux ropes, plasmoids and flaring loops.

Information

Type
Research Article
Copyright
© Cambridge University Press 2017 
Figure 0

Figure 1. Early analytical models of reconnection regions: (a) Sweet’s mechanism at play when two bipolar sunspots are brought close to each other forming a current layer surrounding the null point N1. (b) Sweet and Parker collision layer (current sheet), with a description of the magnetic field (here called H), and the hydrodynamic model (a). Adapted from Sweet (1958a).

Figure 1

Figure 2. Different topological definitions in the presence of a null point: specific field lines that pass through the null form the spine, then they spread in the fan plane (defined by the two eigenvectors with same sign eigenvalues). (a) represents a symmetric case, associated with two equal eigenvalues in the fan plane (Pontin 2012), while (b) shows an asymmetric null point (adapted from Al-Hachami & Pontin (2010)). In the present plots, the field lines are selected to pass nearby the spine and the fan.

Figure 2

Figure 3. (a) Simplified schema of separatrice surfaces in the presence of two bipoles 1–2 and 3–4 (top) and comparison of their photospheric traces with the locations of H$\unicode[STIX]{x1D6FC}$ brightening seen during a flare, adapted from Mandrini et al. (1991). (b) Magnetic field configuration of a flaring region associated with a spine and fan structure as obtained from a magnetic field extrapolation. They can directly be compared with emissions seen in extreme ultra-violet (UV) of coronal loops, adapted from Aulanier et al. (2000).

Figure 3

Figure 4. (a) A set of magnetic field lines randomly traced in a quadrupolar configuration without a null point. The trace on the lower plane of the largest gradient of connectivity, i.e. the QSLs, are shown with pale blue and magenta crescent areas. They are located within magnetic polarities (dotted and plain isocontours on the surface) of the same sign. (b) Quadrupolar configuration analysed in a numerical set-up by Aulanier, Pariat & Démoulin (2005) where field lines are traced in different colours depending on their anchoring region. For example, the green and blue sets of field lines are departing from the same positive polarity (in magenta), but are seen to connect to the different negative polarities (blue isocontours). As such, one can trace the connectivity gradient region (in magenta). (c) The field line mapping and the squashing degree $Q$ can be calculated following the technique of Pariat & Démoulin (2012), which is illustrated here by a generic connectivity between two local planes while the QSL trace is computed on the central plane. (d) The QSLs are computed numerically: their traces on the photospheric plane are shown in gradient of grey, with the darker greys indicating higher values of the squashing degree $Q$. Two sets of field lines are added with their footpoints selected on a segment crossing the QSL trace. They show a divergence pattern characteristic of field lines across QSLs. The whole QSL volume is represented in perspective in (e), for a similar quadrupolar configuration. (f) A cut within the volume shows the X-shaped morphology of the QSLs, also called a hyperbolic flux tube (adapted from Titov, Hornig & Démoulin 2002).

Figure 4

Figure 5. Projected view of a configuration containing a flux rope, as indicated with the dashed-dotted (three turns) and solid (one turn) twisted field lines. The small, dotted field line represent a coronal loop lying underneath the flux rope. The gradient of connectivity between these field lines is indicated with the elongated, bold lines at the photospheric level (QSL trace). Their straight part is associated with the low-lying coronal loop, while the round region is associated with the anchoring region of the twisted field lines. A zoom in the region shows a hook shape of the flux-rope anchoring region, where a higher twist corresponds to a higher number of swirls (adapted from Démoulin et al. (1996b)).

Figure 5

Figure 6. (a) Top view of a quadrupolar magnetic configuration (with two bipoles, where the positive (respectively negative) polarity is indicated in magenta (respectively blue)). A photospheric velocity field is applied as a boundary condition so as to reproduce a twisting motion in the small positive polarity. The photospheric traces of the associated QSLs are shown in (b): the highest values of the squashing degree $Q$ are shown in black. The electric currents are shown in greyscale in (c), with the most intense currents shown in white. (d) Side view of the configuration, with (e) showing a transverse cut in the middle of the domain of the coronal current density. The strongest currents are seen to appear at the locations with the highest squashing degree or HFT, as is also shown in the colour-coded zooms of the QSLs (f) and the currents (g) (adapted from Aulanier et al. (2005)).

Figure 6

Figure 7. (a) Sigmoidal region seen by the XRT instrument aboard Hinode from which a magnetic model is constructed, shown with a sample of field lines in (b). Panels (c,e,g) show the numerical simulation of an unstable flux rope, while (d,f,h) show similar plots for a magnetic configuration derived from observations (b). The (near) photospheric traces of the QSLs for a numerical flux-rope simplified model are shown in (c). They are compared in (d) with that of the configuration created by a flux rope inserted in the extrapolated potential magnetic field of the magnetogram shown in (b). They both display the typical $\unicode[STIX]{x1D611}$ shape expected in the presence of a flux rope. A transverse cut (dashed black lines in c and d) is shown in the magnetic field numerical model (e) and the extrapolated magnetic field (f), where the location of the highest values of the squashing degree $Q$ is found underneath the flux rope in both cases. A zoom indicate the presence of a HFT in (g,h) (adapted from Savcheva et al. (2012a)).

Figure 7

Figure 8. Comparison of resistive MHD and kinetic descriptions of the current layer. (a) Results of the Geospace Environmental Modeling (GEM) magnetic reconnection challenge, where several codes (MHD and PIC) were tested to investigate the effects of the nonlinear terms described in the generalised Ohm’s law. It was found that codes that include the Hall term did not differ much one from another, while a conventional resistive MHD description of reconnection did not agree with all the other results. Here, the time evolution of the reconnected flux in those simulations are shown to indicate the differences (adapted from Birn et al. (2001)). (b) Description of the magnetic field geometry in collisionless reconnection, where the flows of the ions and the electrons are decoupled in the diffusion area (adapted from Zweibel & Yamada (2009)).

Figure 8

Figure 9. Three-dimensional representation and vertical cuts of an erupting flux rope. Results of the numerical simulation of a torus-unstable flux-rope expansion with the OHM code (Aulanier et al.2012). (ac) Field lines showing the expanding magnetic field as time passes by (the times represented here are $t=15t_{A},30t_{A},45t_{A}$). A 2-D transverse cut (black dashed lines in ac) of the QSLs is shown, for all three times, in (df). The QSLs delimitate different magnetic field domains related to the flux rope, flare loops and surrounding field. The region of the QSLs where the magnetic connectivity changes the most is indicated as the HFT (see § 2.2). A similar cut for the volumic current density $J$ is shown in (gi). The time evolution shows a thinning of the central current layer (indicated with red arrows), with an increased current density. The reconnection region and the top of the reconnected field lines move upward as time passes, as indicated with the yellow and green arrows (adapted from Janvier et al.2013).

Figure 9

Figure 10. Traces on the photospheric boundary of the QSLs and current density for an erupting flux rope. (a) The 3-D volume of the current layer during a flux-rope ejection, as simulated by Kliem et al. (2013) and similar to the simulation of Aulanier et al. (2012) and Janvier et al. (2013). (b) A model of a flux rope (solid think line) underneath overlying arcades (dashed lines), showing the hooked, $\unicode[STIX]{x1D611}$-shaped QSLs (thick lines), as was first investigated in Démoulin et al. (1996b). (c) Top view of the photospheric ($z=0$) footprints of the vertical component of the current density vector $J_{z}$ in greyscale for the flux-rope eruption simulation of Aulanier et al. (2012). The magnetic polarities are shown in magenta (positive) and cyan (negative). (d) Same view for the photospheric footprints of the QSLs. The similar $\unicode[STIX]{x1D611}$ shapes for the current density and the QSLs are shown with the black arrows. (e) $\unicode[STIX]{x1D611}$-shaped flare ribbons during an eruptive flare (Chandra et al.2009).

Figure 10

Figure 11. Photospheric map (where the background noise has been removed) of the vertical ($z$) component of the current density at 01:48 UT (a) and 02:00 UT (b) on 15 February 2011 when an X-class flare was recorded. The time of the flare peak, from GOES Soft X-ray bands, is between the two snapshots shown here. The four squares are marked as areas where the strongest changes are seen before and after the flare impulsive phase. The regions marked with $S$ indicate the straight part of the $\unicode[STIX]{x1D611}$-shaped current ribbon, while those marked with $H$ indicate the hook region of the $\unicode[STIX]{x1D611}$. (c,d) The light curve in the 335 Å filter of the Atmospheric Imaging Assembly (AIA) instrument aboard the Solar Dynamics Observatory (Lemen et al.2012) is shown in green, while the time evolution of the electric current $I$ (computed over the regions H$-$ and S$-$ defined in panels a and b) is shown in red (respectively blue) for the direct current (respectively return current, see text for details). The figure is adapted from Janvier et al. (2014a).

Figure 11

Figure 12. Current ribbons and QSL comparison in a complex flaring region. (a) Overview of the X-class flare region of 6 September 2011 in the 304 Å channel of AIA aboard SDO. A large-scale circling flare ribbon (rectangle box) indicates the presence of a fan-like structure, while the most southern ribbon displays a hook shape typical of flux-rope ribbons. (b) QSL photospheric map of the zoomed region (black box in a) showing similar structures as the flare ribbons. In particular, a flux rope found in the extrapolated magnetic field (blue lines) is anchored in QSL regions displaying the typical $\unicode[STIX]{x1D611}$ shapes on both sides of the inversion line. A zoom on the two flare ribbons associated with the flux ropes are shown in the 1600 Å filter before (c) and after (d) the impulsive phase. (e,f) An overlay of the same region with the current density obtained with the HMI data is shown for the same times. (g,h) Same overlays adding the local QSLs from the extrapolation, showing a good agreement in the shape and the location of the QSLs (extrapolation), currents (HMI) and EUV flare ribbons. Adapted from Janvier et al. (2016).

Figure 12

Figure 13. Representation of slipping field lines at different times in a numerical simulation. Four sets of field lines are represented, all defined from the negative polarity. The neighbouring anchorpoints of the cyan and black (respectively red and green) field lines in the same polarity, and the diverging locations of the corresponding footpoints in the positive polarity show that the connectivity remains continuous, while strongly diverging. The four thick red and black lines are defined as departing from local area A (red lines A5 and A6) and B (black lines B5$^{\prime }$ and B6$^{\prime }$). At four different times, we look at the changes in the connectivity while those field lines are reconnecting with each other. The continuous change of connectivity gives an apparent slipping motion, indicated with the coloured arrows at $t_{0}$. (Adapted from Aulanier et al. (2006), see online for supplementary material showing the slipping motion in an animated gif.)

Figure 13

Figure 14. Calculation of the slipping speed. (a) Set of slipping field lines at a given time from an eruptive flare simulation (see Janvier et al.2013), which anchoring point is indicated as fixed in the negative polarity. (b) The footpoint locations of the moving yellow field line of (a) at different times in the simulation are indicated by crosses, on an overlay of the QSL photospheric map. The initial position of the yellow field line is indicated as a black line, while its final position (when reconnection ends) is indicated as a red line (different colour coding as (a)). The path taken by the moving footpoint is indicated with an orange dashed line. (c) Time evolution of the local speed of the moving footpoint (normalised by the Alfvén speed). Two regions are indicated. In green, we find the times when the motion is sub-Alfvénic ($v_{slip}\leqslant c_{A}$), i.e. at the beginning and at the end of the QSL crossing. In yellow, we find the times when the motion is super-Alfvénic ($v_{slip}\geqslant c_{A}$, slip-running motion, i.e. in the core region of the QSL where the connectivity gradient is the highest).

Figure 14

Figure 15. Evidence of apparent slipping motion during the X-class eruptive flare of 12 July 2012 (SOL2012-07-12T16:49). (a) Overview of the region where hot loops are seen in the 131 Å (Fe XIII and Fe XXI), including an eruptive set of expanding loops (see figure 5 in Dudík et al. (2014)). The zoom region is shown in (b) at earlier times, where coherent, unidirectional motions of kernel brightening and apparent coronal loop motions are seen. (c) The analogy can be made with the slipping motion of magnetic field lines from a numerical simulation of an eruptive flares, where at different times reconnecting flux-rope field lines are seen to slip (adapted from Dudík et al. (2014)).

Figure 15

Figure 16. Consequences of reconnecting pairs of field lines. (a, first row) Two pairs of field lines (red and green) chosen at different times and reconnecting with each other. (a, second row) One Alfvén time later, newly reconnected field lines are the flare loop (in red) and a green field line that surrounds the flux rope (its core is represented in pink). As time goes by, the flux-rope field line forming on the outside becomes more twisted (e.g. at times 45–46 $t_{A}$) and the flare loop is less sheared. (b) Time evolution of selected neighbouring field lines in blue and green that undergo reconnection. The blue field lines reconnect earlier than the green ones, and both form the successive layers of the flux-rope envelope. Adapted from Aulanier et al. (2012).

Figure 16

Figure 17. Plasmoids in numerical simulations and observations. (a) Numerical simulations of Bhattacharjee et al. (2009), where the formation and coalescence of plasmoids can be seen, creating large magnetic islands. (b) Remote sensing observations of the Sun’s corona during an eruption, where plasma blobs are seen during the rising phase of a flare and above the flare loop top (adapted from Takasao et al. (2012)). (c) Power law found in the distribution of the size of plasmoids in computer simulations, from Loureiro et al. (2012). (d) A similar power law is found for small flux ropes directly observed in the interplanetary medium, from the study of Janvier, Démoulin & Dasso (2014b).