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Distribution of Planets in Multi-Planetary Exo-Solar Systems. S. T. Port1,2
, J. A. Heydenreich1,3
, and Z. M.
McMahon1,4
, 1
Arkansas Center for Space and Planetary Science, University of Arkansas, saraport@uark. edu2
,
jaheyden@uark. edu3
, zmmcmaho@uark. edu4
.
Introduction: Through the use of modern technol-
ogy, such as the Kepler Space Observatory, hundreds
of exoplanets have already been discovered and con-
firmed, while thousands more are expected to exist.
Some of these planets are now known to be one of
many planets orbiting a host star. These multiplantary
systems are actually a common occurrence, thus with a
large sample size it is possible to study correlations
between these planetary systems [4].
Our goal is to determine if there exists some factor,
or factors, that determines the arrangement of
exoplanets within exo-solar systems. The determina-
tion of a relation to the arrangement of the exoplanets
can aid in the understanding of how solar systems
form. This can give us an approximation of where in
the orbital plane a planet will form. With this
knowledge it may be possible to estimate how many
planets are in a given system and determine the loca-
tion of planets not yet discovered. If a planet is not
where it is expected to be, then that may be indicative
of characteristics or processes particular to that indi-
vidual system. In order to find a relation we evaluated
systems that contained multiple planets. This was ac-
complished using a database of multi-planetary sys-
tems that we built from existing databases, namely the
NASA Exoplanet Archive as well as [2], and [3]. Us-
ing this data we were able to construct graphs and for-
mulate equations that relate to each individual system.
To focus our efforts, we began by studying and ap-
plying the Titius-Bode relation for each system. Since
the Titius-Bode assumes several factors based on our
own solar system minor modification were needed in
order to apply it to other multi-planetary exo-solar sys-
tems. Using this equation we attempted to observe a
relation, or the lack thereof, in regards to the arrange-
ment of the planetary system. The data attained from
this study can be used to compare other systems to
each other and to our own solar system [1], [5].
Methods: The basis of our research was to exam-
ine if the Titius-Bode Law could be applied to
exoplanets. The Titius-Bode relation is a geometric
progression, n, of a planet’s distance from its star. A
simple exponential relation for the Titius-Bode law
was necessary to allow for a larger range of a values
[1]. The relation used was = ∗ , and so ln(y) =
ln(a) + b⋅n where b is the slope, n is the planet rank,
and ln(a) is the y-intercept. By plotting the rank of the
planet by the natural log of the semi-major axis of each
planet we determined the slope and y-intercept. We
solved for a by taking the exponent of the y-intercept
then plotted the slope by the calculated a value. Each
system can be individually plotted in an exponential
trend as seen in Fig. 1. This verified that the simpler
equation works by applying it to our solar system.
a)
b)
Figure 1: Figure 1a demonstrates the correlation of
the distance between each planet and the host star ver-
sus the planet rank for our solar system. Figure 1b
demonstrates the same correlation, but around the bi-
nary star system known as 55 Cancri.
First, we separated out all the systems with four
and/or more planets within the system. Then we used
the semi-major axis and rank to calculate the slope and
intercept for each system to create a simpler equation
and plotted the results. Fig. 2a shows the planets with
their natural rank plotted. In Fig. 2b we altered the
rankings of all the systems to begin at n=0. This
change was made because systems could have planets
such as Mercury, were the first planet is not exactly at
n=1 [1].
1098.pdf46th Lunar and Planetary Science Conference (2015)
Using data attained from various sites ([2], [3], and
[4],) we also plotted the slopes of each planetary sys-
tem against the stellar characteristics of their host star.
These characteristics included the stellar radius, stellar
mass, metallicity, stellar age and the effective tempera-
ture of the host star.
Results: At the start of the experiment it was found
that when the rank number started at n=1, the intercept
values of each of the systems showed a better correla-
tion than the slope. However, when the rank was first
set to zero the slopes of each data displayed a better
relationship. Therefore it was decided after early anal-
ysis to start the starting n value to zero.
As can been seen in Figure 2, the majority of the
data points are closely clustered therefore indicating
some relationship. All of the data points are near a
Titius-Bode a of 0.04.
One interesting result observed was there was no
correlation between the slopes and the number of plan-
ets per system. As can be seen in the Figure 2, all data
points, no matter the number of planets per system, are
all centered on the same region on the graph.
In regards to the slope versus the stellar character-
istics no direct correlation was revealed.
a)
b)
c)
Figure 2: Figure 2a displays the distribution of
planetary systems with more than four planets and the
first n set to one. Figure 2b is the same as Figure 2a
except that the first n is set to zero. Figure 2c graphs
systems with four planets with a starting n of zero.
Conclusion: Overall, the Titius-Bode Relation was
found to be flexible and applicable to many other solar
systems other than our own. It also exhibits a good
correlation between the various planetary systems. The
one planetary system that did not show a stronger rela-
tion was our own solar system. It is believed that this is
due to the close proximity of Mercury to the Sun.
Future: At this moment only planetary systems
with 4 or more orbiting planets were used. In the future
we aim to incorporate planetary system with 3 planets.
The database we used to attain our values also only
gave the planets that have been confirmed. We hope to
integrate unconfirmed planets into our data in the fu-
ture. We also plan to learn more about the stars that
each system revolves around to observe a correlation
between binary or trinary star systems.
With the increase in modern technology scientists
are now able to identify young protoplanetary systems
as well as dust belts and rings around host stars. We
expect to insert these into our models to observe if we
can detect if these bands are or will form into planets
in the future.
References: [1] Poveda A. and Lara P. (2008)
Revista Mexicana de Astronomia y Astrofisica, 44,
243-246 [2] openexoplanetcatalogue.com [3]
exoplanet.eu [4]
http://exoplanetarchive.ipac.caltech.edu/ [5] Hayes W.
and Tremaine S. (1998) Icarus, 135, 549-557
1098.pdf46th Lunar and Planetary Science Conference (2015)

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1098

  • 1. Distribution of Planets in Multi-Planetary Exo-Solar Systems. S. T. Port1,2 , J. A. Heydenreich1,3 , and Z. M. McMahon1,4 , 1 Arkansas Center for Space and Planetary Science, University of Arkansas, saraport@uark. edu2 , jaheyden@uark. edu3 , zmmcmaho@uark. edu4 . Introduction: Through the use of modern technol- ogy, such as the Kepler Space Observatory, hundreds of exoplanets have already been discovered and con- firmed, while thousands more are expected to exist. Some of these planets are now known to be one of many planets orbiting a host star. These multiplantary systems are actually a common occurrence, thus with a large sample size it is possible to study correlations between these planetary systems [4]. Our goal is to determine if there exists some factor, or factors, that determines the arrangement of exoplanets within exo-solar systems. The determina- tion of a relation to the arrangement of the exoplanets can aid in the understanding of how solar systems form. This can give us an approximation of where in the orbital plane a planet will form. With this knowledge it may be possible to estimate how many planets are in a given system and determine the loca- tion of planets not yet discovered. If a planet is not where it is expected to be, then that may be indicative of characteristics or processes particular to that indi- vidual system. In order to find a relation we evaluated systems that contained multiple planets. This was ac- complished using a database of multi-planetary sys- tems that we built from existing databases, namely the NASA Exoplanet Archive as well as [2], and [3]. Us- ing this data we were able to construct graphs and for- mulate equations that relate to each individual system. To focus our efforts, we began by studying and ap- plying the Titius-Bode relation for each system. Since the Titius-Bode assumes several factors based on our own solar system minor modification were needed in order to apply it to other multi-planetary exo-solar sys- tems. Using this equation we attempted to observe a relation, or the lack thereof, in regards to the arrange- ment of the planetary system. The data attained from this study can be used to compare other systems to each other and to our own solar system [1], [5]. Methods: The basis of our research was to exam- ine if the Titius-Bode Law could be applied to exoplanets. The Titius-Bode relation is a geometric progression, n, of a planet’s distance from its star. A simple exponential relation for the Titius-Bode law was necessary to allow for a larger range of a values [1]. The relation used was = ∗ , and so ln(y) = ln(a) + b⋅n where b is the slope, n is the planet rank, and ln(a) is the y-intercept. By plotting the rank of the planet by the natural log of the semi-major axis of each planet we determined the slope and y-intercept. We solved for a by taking the exponent of the y-intercept then plotted the slope by the calculated a value. Each system can be individually plotted in an exponential trend as seen in Fig. 1. This verified that the simpler equation works by applying it to our solar system. a) b) Figure 1: Figure 1a demonstrates the correlation of the distance between each planet and the host star ver- sus the planet rank for our solar system. Figure 1b demonstrates the same correlation, but around the bi- nary star system known as 55 Cancri. First, we separated out all the systems with four and/or more planets within the system. Then we used the semi-major axis and rank to calculate the slope and intercept for each system to create a simpler equation and plotted the results. Fig. 2a shows the planets with their natural rank plotted. In Fig. 2b we altered the rankings of all the systems to begin at n=0. This change was made because systems could have planets such as Mercury, were the first planet is not exactly at n=1 [1]. 1098.pdf46th Lunar and Planetary Science Conference (2015)
  • 2. Using data attained from various sites ([2], [3], and [4],) we also plotted the slopes of each planetary sys- tem against the stellar characteristics of their host star. These characteristics included the stellar radius, stellar mass, metallicity, stellar age and the effective tempera- ture of the host star. Results: At the start of the experiment it was found that when the rank number started at n=1, the intercept values of each of the systems showed a better correla- tion than the slope. However, when the rank was first set to zero the slopes of each data displayed a better relationship. Therefore it was decided after early anal- ysis to start the starting n value to zero. As can been seen in Figure 2, the majority of the data points are closely clustered therefore indicating some relationship. All of the data points are near a Titius-Bode a of 0.04. One interesting result observed was there was no correlation between the slopes and the number of plan- ets per system. As can be seen in the Figure 2, all data points, no matter the number of planets per system, are all centered on the same region on the graph. In regards to the slope versus the stellar character- istics no direct correlation was revealed. a) b) c) Figure 2: Figure 2a displays the distribution of planetary systems with more than four planets and the first n set to one. Figure 2b is the same as Figure 2a except that the first n is set to zero. Figure 2c graphs systems with four planets with a starting n of zero. Conclusion: Overall, the Titius-Bode Relation was found to be flexible and applicable to many other solar systems other than our own. It also exhibits a good correlation between the various planetary systems. The one planetary system that did not show a stronger rela- tion was our own solar system. It is believed that this is due to the close proximity of Mercury to the Sun. Future: At this moment only planetary systems with 4 or more orbiting planets were used. In the future we aim to incorporate planetary system with 3 planets. The database we used to attain our values also only gave the planets that have been confirmed. We hope to integrate unconfirmed planets into our data in the fu- ture. We also plan to learn more about the stars that each system revolves around to observe a correlation between binary or trinary star systems. With the increase in modern technology scientists are now able to identify young protoplanetary systems as well as dust belts and rings around host stars. We expect to insert these into our models to observe if we can detect if these bands are or will form into planets in the future. References: [1] Poveda A. and Lara P. (2008) Revista Mexicana de Astronomia y Astrofisica, 44, 243-246 [2] openexoplanetcatalogue.com [3] exoplanet.eu [4] http://exoplanetarchive.ipac.caltech.edu/ [5] Hayes W. and Tremaine S. (1998) Icarus, 135, 549-557 1098.pdf46th Lunar and Planetary Science Conference (2015)