Solar Flares in the Solar Atmosphere
SCIENTIFIC METHOD RESEARCH ASSIGNMENT: BIOLOGY
AND SOCIETY
Solar Flares in the Solar Atmosphere
Table of Contents
Introduction 3
Methods/Materials 3
Main Outcomes 4
Conclusion/Discussion 4
References 5
Solar Flares in the Solar Atmosphere
Introduction
When a solar flare takes place within the solar atmosphere; the built-up magnetic energy
within the atmosphere is released suddenly. When the solar atmosphere releases the stored
magnetic energy, particles such as protons, electrons, as well as, heavy nuclei get accelerated and
heated within the solar atmosphere. The radiation that is emitted by solar flares spread across the
entirety of the electromagnetic spectrums theoretically. It produces gamma rays and x-rays at the
short end of the wavelength and radio waves at the long end of wavelength. The release of the
energy causes an ionized upsurge in the earth’s environment and disrupts radio signals and
power grids (Toriumi et al. 2017). This research is aimed to use the link among VLF waves and
SID to diagnose solar flares which would increase the preparedness of the damaging impacts
consisting of potential grid failures and radio blackouts. The objective of this project is to
identify and gauge the strength of solar flares through the utilisation of the relation among VLF
(Very Low Frequencies) and SID (Sudden Ionospheric Disturbances) to develop an early
warning system to increase preparedness in terms of coping with the damaging impacts of solar
flares. In addition to that, this project would also contribute to the identification of the
correspondence among solar flares.
Methods/Materials
The development of the early warning system for the detection of solar flares needs to be
carried out in three stages. These stages include:
1. In the first phase of the system, it is needed to set up a sufficient-sized antenna which
would be capable in terms of producing reliable results associated with the detection of
one or multiple stations of wavelengths. These wavelengths would have Very Low
Solar Flares in the Solar Atmosphere
Frequency which calls for the collection of information over an expanded time-span
(Sabri et al. 2016).
2. The second phase is collecting the necessary information. In this phase, the antenna will
be allowed to gather the information on the strength of the Very Low Frequencies. As
explained beforehand, this stage would need to collate the data over a span of several
months.
3. In the third and final stage of the experiment, it will be required to analyse the collected
information. In doing so, the researcher has measured the daytime peaks that have been
identified in the wave-signal strength along with the base of the peaks that have been
recorded. Afterwards, the recorded base value will be subtracted from the recorded peak
value in term of delivering the difference of the signal strength (Wenzel et al. 2016). In
addition, the data analysis process has also provided significant aid in terms of graphic
the data alongside the classes of comparable flares, as well as, in terms of discovering the
correspondence.
Main Outcomes
The results indicate the Signal Strength Differential value of the Class was 1.738X1.0002.
The equation represents a correspondence of .938 which indicates a consolidated
empirical correspondence among the classes taking into account that the number of data points
involved recording the data from twenty-three distinctive solar flares. The percentage of error
that was identified in the process accounts for:
● For the c-class flares, the error percentage was almost 0.1
● For them-class flares, the error percentage was almost 0.04
Solar Flares in the Solar Atmosphere
● For the single x-Class flare and higher than m-Class flares, the error percentage was
recorded to be 0.4
When analysing the results, some outliers were discovered to be present in the
information set. The outliers are most likely to be developed as a result of several forms of
interference which may include microwave wavelengths and flares from fluorescent light
sources.
Conclusion/Discussion
Considering the strong correspondence (accounting for .938) that was noted during the
analysis process, it is needed to be noted that the strength of the solar flares in the solar
atmosphere and the signal strength differential are empirically correlated. In addition to that, it
must be stated that the antenna that was established in the phase 1 of the experiment
appropriately diagnosed each individual solar flares that occurred over a time-span of 2 months
(from April 1 2019 to June 1 2019) which was decided to be the cut-off point in order to
accumulate the necessary information. In addition to that, even without entirely investigating the
collected information, it was almost immediately evident about the class that the solar flares that
took place in this period belonged to.
This facilitated observation process indicates that the examined mechanism serves an
important role in the context of making it immediately evident if a solar flare is going to occur
which may cause some disruption in human activities by disrupting radio waves which would
cause radio blackouts or by disrupting power grids which would consequently lead to a
temporary or permanent failure in power depending on the scale and range of the solar flares. It
serves a pivotal purpose as the occurrence of solar flares effectively damages the communication
Solar Flares in the Solar Atmosphere
satellites along with the power grids. This necessitates constant monitoring of solar flares in
order to be prepared in terms of coping with the damaging effects of solar flares. The
interference that was recorded during the experiment, however, is an important factor that needs
to be taken into account. It may be said that the antenna would serve the best functionality during
non-busy days such as school vacations or weekends or holidays. Notwithstanding, the fact that
the antenna would still be able to gauge solar flares comparably of smaller scales during the
usual busy days which would interfere with the detection of the solar flares offers immense
potential and needs to be taken into consideration. In this context, it must also be stated that the
interferences can be clearly distinguished from actual solar flares on the graphs extracted from
the system. As a concluding thought, it may be said that the conducted experiment proves the
immense potential of the experimented system in terms of diagnosing solar flares before they
happen. In addition to that, the fact that the system operates to gauge them with a value of .938
correspondences makes the system very practical and applicable in real-life contexts.
Solar Flares in the Solar Atmosphere
References
Sabri, S. N. U., Zainol, N. H., Ali, M. O., Shariff, N. N. M., Hussien, N., Faid, M. S., ... &
Monstein, C. (2016, May). The dependence of log periodic dipole antenna (LPDA) and e-
CALLISTO software to determine the type of solar radio burst (I-V). In 2016
International Conference on Industrial Engineering, Management Science and
Application (ICIMSA)(pp. 1-5). IEEE.
https://ieeexplore.ieee.org/abstract/document/7504039/
Toriumi, S., Schrijver, C. J., Harra, L. K., Hudson, H., & Nagashima, K. (2017). Magnetic
properties of solar active regions that govern large solar flares and eruptions. The
Astrophysical Journal, 834(1), 56. https://iopscience.iop.org/article/10.3847/1538-
4357/834/1/56/meta
Wenzel, D., Jakowski, N., Berdermann, J., Mayer, C., Valladares, C., & Heber, B. (2016).
Global ionospheric flare detection system (GIFDS). Journal of Atmospheric and Solar-
Terrestrial Physics, 138, 233-242.
https://www.sciencedirect.com/science/article/pii/S1364682615301127