Moses
09-10-01, 09:06 PM
Are They Really There?
__________________________________________________ __
Life is Easy to Make:
Since 1953, with the Stanley Miller experiment, we have, or
should have discarded the theory that we are unique in the
universe. Production of organic life and even DNA and RNA
have been shown to occur in simple mixtures of hydrogen,
ammonia, methane and water when exposed to an electrical
discharge. The existence of most of these components has been
frequently verified by spectral analysis in distant stars
but, of course, we can't see the star's planets. Based on
the most accepted star and planet formation theories, most
star systems would have a significant number of planets with
these elements and conditions.
Quantifying the SETI
A radio astronomer, Frank Drake developed some equations that
were the first serious attempt to quantify the number of
technical civilizations in our galaxy. Unfortunately, his
factors were very ambiguous and various scientists have
produced numbers ranging from 1 to 10 billion technical
civilizations in just our galaxy. This condition of a
formula is referred to as unstable or ill-conditioned
systems. There are mathematical techniques to reduce the
instability of such equations. I attempted to do so to
quantify the probability of the existence of intelligent
life.
I approached the process a little different. Rather than
come up with a single number for the whole galaxy, I decided
to relate the probability to distance from Earth. Later I
added directionality.
Using the basic formulas Drake used to start, I added a
finite stochastic process using conditional probability.
This produces a tree of event outcomes for each computed
conditional probability. (The conditions being quantified
were those in his basic formula: rate of star formation;
number of planets in each system with conditions favorable to
life; fraction of planets on which life develops;
fraction of planets that develop intelligent life;
fraction of planets that develop intelligent life that evolve
technical civilizations capable of interstellar
communications and the lifetime of such a civilization).
I then layered one more parameter onto this by increasing the
probability of a particular tree path in relation to one over
the square of the distance. This added a conservative
estimate for the increasing probability of intelligent life
as the distance from Earth increases and more stars and
planets are included in the sample size.
I Love Simulation Models
I used standard values used by Gamow and Hawking in their
computations, however, I ignored Riemannian geometry and
assumed a purely Euclidean universe. Initially, I assumed
the standard cosmological principles of homogeneity and
isotropic distributions. (I changed that later) Of course
this produced 1000's of probable outcomes but by using a
monte carlo simulation of the probability distribution and
the initial computation factors of Drake's formula (within
reasonable limits), I was able to derive a graph of
probability of technical civilizations as a function of
distance.
100% | *
| *
| *
| *
| *
| *
| *
|*
0% |_____________________________________
Distance -->
But I Knew That
As was predictable before I started, the graph is a rising,
non-linear curve, converging on 100%. Even though the
outcome was intuitive, what I gained was a range of distances
with a range of corresponding probabilities of technical
civilizations. Obviously, the graph converges to 100% at
infinite distances but surprisingly, it is above 99% before
leaving the Milky Way Galaxy. We don't even have to go to
Andromeda to have a very good chance of there being
intelligent life in space. Of course, that is not so unusual
since our galaxy may have about 200 billion stars and some
unknown multiple of planets.
Then I made It Directional
I toyed with one other computation. The homogeneous and
isotropic universe used by Einstein and Hawking is a
mathematical convenience to allow them to relate the
structure of the universe to their theories of space-time.
These mathematical fudge-factors are not consistent with
observation in small orders of magnitude in distance from
earth - out to the limits of what we can observe - about 15
billion light years. We know that there is inhomogeneous or
lumps in the stellar density at these relatively close
distances. The closest lump is called the Local Group with
22 galaxies but it is on the edge of a supercluster of 2500
galaxies. There is an even larger group called the Great
Attractor that may contain tens of thousands of galaxies.
By altering my formula so that I took into account the
equatorial system direction (ascension & declination) of the
inhomogeneous clustering. Predictably, this just gave me a
probability of intelligent life based on a vector rather than
a scalar measure. It did however, move the distance for any
given probability much closer - in the direction of clusters
and superclusters. So much so that at about 351 million
light years, the probability is virtually 100%. At only
about 3 million light years, the probability is over 99%.
That is well within the Local Group of galaxies.
When you consider that there are tens of billions of stars
within detection range by Earth and some unknown quantity
beyond detection, the formula to quantify the number of
technical civilizations in space results in virtually 100% no
matter how conservative you make the input values. It can do
no less than prove that life is out there.
__________________________________________________ __
Life is Easy to Make:
Since 1953, with the Stanley Miller experiment, we have, or
should have discarded the theory that we are unique in the
universe. Production of organic life and even DNA and RNA
have been shown to occur in simple mixtures of hydrogen,
ammonia, methane and water when exposed to an electrical
discharge. The existence of most of these components has been
frequently verified by spectral analysis in distant stars
but, of course, we can't see the star's planets. Based on
the most accepted star and planet formation theories, most
star systems would have a significant number of planets with
these elements and conditions.
Quantifying the SETI
A radio astronomer, Frank Drake developed some equations that
were the first serious attempt to quantify the number of
technical civilizations in our galaxy. Unfortunately, his
factors were very ambiguous and various scientists have
produced numbers ranging from 1 to 10 billion technical
civilizations in just our galaxy. This condition of a
formula is referred to as unstable or ill-conditioned
systems. There are mathematical techniques to reduce the
instability of such equations. I attempted to do so to
quantify the probability of the existence of intelligent
life.
I approached the process a little different. Rather than
come up with a single number for the whole galaxy, I decided
to relate the probability to distance from Earth. Later I
added directionality.
Using the basic formulas Drake used to start, I added a
finite stochastic process using conditional probability.
This produces a tree of event outcomes for each computed
conditional probability. (The conditions being quantified
were those in his basic formula: rate of star formation;
number of planets in each system with conditions favorable to
life; fraction of planets on which life develops;
fraction of planets that develop intelligent life;
fraction of planets that develop intelligent life that evolve
technical civilizations capable of interstellar
communications and the lifetime of such a civilization).
I then layered one more parameter onto this by increasing the
probability of a particular tree path in relation to one over
the square of the distance. This added a conservative
estimate for the increasing probability of intelligent life
as the distance from Earth increases and more stars and
planets are included in the sample size.
I Love Simulation Models
I used standard values used by Gamow and Hawking in their
computations, however, I ignored Riemannian geometry and
assumed a purely Euclidean universe. Initially, I assumed
the standard cosmological principles of homogeneity and
isotropic distributions. (I changed that later) Of course
this produced 1000's of probable outcomes but by using a
monte carlo simulation of the probability distribution and
the initial computation factors of Drake's formula (within
reasonable limits), I was able to derive a graph of
probability of technical civilizations as a function of
distance.
100% | *
| *
| *
| *
| *
| *
| *
|*
0% |_____________________________________
Distance -->
But I Knew That
As was predictable before I started, the graph is a rising,
non-linear curve, converging on 100%. Even though the
outcome was intuitive, what I gained was a range of distances
with a range of corresponding probabilities of technical
civilizations. Obviously, the graph converges to 100% at
infinite distances but surprisingly, it is above 99% before
leaving the Milky Way Galaxy. We don't even have to go to
Andromeda to have a very good chance of there being
intelligent life in space. Of course, that is not so unusual
since our galaxy may have about 200 billion stars and some
unknown multiple of planets.
Then I made It Directional
I toyed with one other computation. The homogeneous and
isotropic universe used by Einstein and Hawking is a
mathematical convenience to allow them to relate the
structure of the universe to their theories of space-time.
These mathematical fudge-factors are not consistent with
observation in small orders of magnitude in distance from
earth - out to the limits of what we can observe - about 15
billion light years. We know that there is inhomogeneous or
lumps in the stellar density at these relatively close
distances. The closest lump is called the Local Group with
22 galaxies but it is on the edge of a supercluster of 2500
galaxies. There is an even larger group called the Great
Attractor that may contain tens of thousands of galaxies.
By altering my formula so that I took into account the
equatorial system direction (ascension & declination) of the
inhomogeneous clustering. Predictably, this just gave me a
probability of intelligent life based on a vector rather than
a scalar measure. It did however, move the distance for any
given probability much closer - in the direction of clusters
and superclusters. So much so that at about 351 million
light years, the probability is virtually 100%. At only
about 3 million light years, the probability is over 99%.
That is well within the Local Group of galaxies.
When you consider that there are tens of billions of stars
within detection range by Earth and some unknown quantity
beyond detection, the formula to quantify the number of
technical civilizations in space results in virtually 100% no
matter how conservative you make the input values. It can do
no less than prove that life is out there.