Measurements of the Sun's High Latitude Meridional Circulation

The meridional circulation at high latitudes is crucial to the build-up and reversal of the Sun's polar magnetic fields. Here we characterize the axisymmetric flows by applying a magnetic feature cross-correlation procedure to high resolution magnetograms obtained by the Helioseismic and Magnetic Imager (HMI) onboard the Solar Dynamics Observatory (SDO). We focus on Carrington Rotations 2096-2107 (April 2010 to March 2011) - the overlap interval between HMI and the Michelson Doppler Investigation (MDI). HMI magnetograms averaged over 720 seconds are first mapped into heliographic coordinates. Strips from these maps are then cross-correlated to determine the distances in latitude and longitude that the magnetic element pattern has moved, thus providing meridional flow and differential rotation velocities for each rotation of the Sun. Flow velocities were averaged for the overlap interval and compared to results obtained from MDI data. This comparison indicates that these HMI images are rotated counter-clockwise by 0.075 degrees with respect to the Sun's rotation axis. The profiles indicate that HMI data can be used to reliably measure these axisymmetric flow velocities to at least within 5 degrees of the poles. Unlike the noisier MDI measurements, no evidence of a meridional flow counter-cell is seen in either hemisphere with the HMI measurements: poleward flow continues all the way to the poles. Slight North-South asymmetries are observed in the meridional flow. These asymmetries should contribute to the observed asymmetries in the polar fields and the timing of their reversals.Comment: 6 pages, 3 color figures, accepted for publication in The Astrophysical Journal Lette

Photospheric Magnetic Flux Transport - Supergranules Rule

Observations of the transport of magnetic flux in the Sun's photosphere show that active region magnetic flux is carried far from its origin by a combination of flows. These flows have previously been identified and modeled as separate axisymmetric processes: differential rotation, meridional flow, and supergranule diffusion. Experiments with a surface convective flow model reveal that the true nature of this transport is advection by the non-axisymmetric cellular flows themselves - supergranules. Magnetic elements are transported to the boundaries of the cells and then follow the evolving boundaries. The convective flows in supergranules have peak velocities near 500 m/s. These flows completely overpower the superimposed 20 m/s meridional flow and 100 m/s differential rotation. The magnetic elements remain pinned at the supergranule boundaries. Experiments with and without the superimposed axisymmetric photospheric flows show that the axisymmetric transport of magnetic flux is controlled by the advection of the cellular pattern by underlying flows representative of deeper layers. The magnetic elements follow the differential rotation and meridional flow associated with the convection cells themselves -- supergranules rule

Asymmetric Solar Polar Field Reversals

The solar polar fields reverse because magnetic flux from decaying sunspots moves towards the poles, with a preponderance of flux from the trailing spots. Let us assume that there is a strong asymmetry in the sense that all activity is in the Northern Hemisphere, then that excess flux will move to the North Pole and reverse that pole, while nothing happens in the South. If later on, there is a lot of activity in the South, then that flux will help reverse the South Pole. In this way, we get two humps in solar activity and a corresponding difference in time of reversals. Such difference was first noted by Babcock (1959) from the very first observation of polar field reversal just after the maximum of the strongly asymmetric solar cycle 19. At that time, the Southern Hemisphere was most active before sunspot maximum and the South Pole duly reversed first, followed by the Northern Hemisphere more than a year later, when that hemisphere was most active. Solar cycles since then have had the opposite asymmetry, with the Northern Hemisphere being most active early in the cycle. Polar field reversals for these cycles have as expected happened first in the North. This is especially noteworthy for the present solar cycle 24. We suggest that the association of two peaks of solar activity when separated by hemispheres with correspondingly different times of polar field reversals is a general feature of the cycle

Are Coronal Loops Isothermal or Multithermal? Yes!

Surprisingly few solar coronal loops have been observed simultaneously with TRACE and SOHO/CDS, and even fewer analyses of these loops have been conducted and published. The SOHO Joint Observing Program 146 was designed in part to provide the simultaneous observations required for in-depth temperature analysis of active region loops and determine whether these loops are isothermal or multithermal. The data analyzed in this paper were taken on 2003 January 17 of AR 10250. We used TRACE filter ratios, emission measure loci, and two methods of differential emission measure analysis to examine the temperature structure of three different loops. TRACE and CDS observations agree that Loop 1 is isothermal with Log T $=$ 5.85, both along the line of sight as well as along the length of the loop leg that is visible in the CDS field of view. Loop 2 is hotter than Loop 1. It is multithermal along the line of sight, with significant emission between 6.2 $<$ Log T $<$ 6.4, but the loop apex region is out of the CDS field of view so it is not possible to determine the temperature distribution as a function of loop height. Loop 3 also appears to be multithermal, but a blended loop that is just barely resolved with CDS may be adding cool emission to the Loop 3 intensities and complicating our results. So, are coronal loops isothermal or multithermal? The answer appears to be yes

The Effects of Cardiovascular Exercise on eSport Performance

Video games have evolved from a juvenile recreational activity into an avenue for organized competition known as electronic sports (eSports). Cognitive research identifies visual attention, memory, and task-switching as primary determinants of success in eSports. Multiple theoretical frameworks of gaming competence suggest that success in digital gaming relies on problem-solving with a focus on attention and memory. Interestingly, the same cognitive functions also improve as the result of both acute and chronic cardiovascular exercise. This uncovers a clear potential benefit of endurance exercise on eSport performance. Furthermore, results from a series of qualitative studies in eSport athletes (E-athletes) suggest that E-athletes and their employers believe exercise has a positive impact on performance. However, no research to date has observed if there is a relationship between exercise and eSport performance. Therefore, this study aimed to investigate the effects of acute and chronic cardiovascular exercise on eSport performance. A repeated measures design was implemented in this study to observe the effects of both an acute high intensity interval training (HIIT) protocol and a chronic HIIT intervention on eSport performance. A semi round-robin competition was implemented at four timepoints (C1-C4) to measure eSport performance scores as a proportion of wins accumulated to total matches played. Dependent variables of maximal oxygen consumption (VO2 max), body mass index (BMI), percent fat mass (BF%), and visuomotor performance were measured during pre- and post-testing to assess if changes in eSport performance could be explained by specific physiological or cognitive variables. Logistic regression models were then used to observe the effect each intervention had on eSport performance. Results of the logistic regression models suggest there is an effect of acute exercise (p = 0.03) and a combined effect of acute exercise and a chronic endurance training program (p = 1.9e-5) on eSport performance. The effect of chronic endurance training alone was not significant (p = 0.21). There was no significant difference in any physiological variable between pre- and post-testing for time or group. There was an effect of time on cognitive flexibility (Trails Task switch cost) (p = 0.048) for both groups. These data from this study serve as preliminary evidence for a positive effect of HIIT on eSport performance. Future research is needed to quantify the exact magnitude of these effects and elucidate the physiological and cognitive mechanisms