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We are a tax-exempt 501(c)(3) non-profit organization dedicated to scientific research
and public education. We support and conduct scientific research on topics relevant to
the observational and theoretical properties of white dwarf stars, and we create and
distribute public education resources through our website. If you would like to support
one of the projects below by donating equipment, time, or funding, please find out
how you can help or consider making a
secure online donation.
If you have any questions, or other ideas for how you might be able to get
involved with one of these projects, please do not hesitate to
contact us.
Support one of our Projects:
We can determine the internal structure of pulsating white dwarfs using the
techniques of high speed photometry to observe their variations in brightness
over time, and then matching these observations with a computer model which
behaves the same way. The parameters of the model are chosen to correspond
one-to-one with the physical processes that give rise to the variations, so
a good fit to the data gives us confidence that our model reflects the actual
physics of the stars themselves. In the past decade, the observational
requirements of white dwarf seismology have been satisfied by the
development of the Whole Earth
Telescope (WET) -- an informal collaboration of astronomers at
observatories around the globe who cooperate to produce nearly continuous
time-series photometry of white dwarfs for up to 14 days at a time. This
instrument has provided a wealth of seismological data on the different
varieties of pulsating white dwarf stars.
In an effort to bring the analysis of WET data to the level of
sophistication demanded by the observations, we are developing
a model-fitting method based on a
genetic algorithm. The underlying ideas for genetic algorithms were
inspired by Charles Darwin's notion of biological evolution through
natural selection. The basic idea is to solve a problem by evolving
the best solution from an initial set of random guesses. The computer
model provides the framework within which the evolution takes place, and
the individual parameters controlling it serve as the genetic building
blocks. Observations provide the selection pressure. In practice, this
method is much more efficient than other comparably global techniques.
Although extremely effective and objective in their application, genetic
algorithms still require a very large amount of computer time because they
involve running thousands of complex models for each set of observations.
To make this approach practical, we designed and built a
specialized computer -- a
collection of 64 minimal PCs connected by a network, which can run our
models in parallel about 60 times faster than any one of them by itself.
Our initial application of this new method to a well-observed pulsating
white dwarf demonstrated that our models are very sensitive to the central
composition, and allowed us to measure the astrophysically-important
(C + He → O) nuclear fusion reaction rate
with much greater precision than is possible in terrestrial laboratories.
The potential of this approach to probe interesting physics is clear. What
we can accomplish by applying it to other classes of objects is limited
only by the computational resources that we can devote to each problem.
In an environment of dwindling resources, scientific investigations are
facing competitive stresses that are beginning to separate scientists into
two camps: those who guard their techniques jealously for fear of being
rendered obsolete, and those who embrace the true spirit of scientific
inquiry and share their results and resources freely with both colleagues
and competitors without prejudice. In some areas of astronomy, this
cultural split is beginning to hinder scientific progress.
The study of pulsating white dwarfs requires a special kind of instrument
capable of high speed imaging. When studying phenomena that change
rapidly, we do not have the luxury of increasing our exposure time to
improve the signal. Our instrument must be highly efficient even with
short exposures. We also need high timing precision to determine the
beginning and duration of each exposure accurately. Most CCD cameras
cannot obtain data continuously -- there is a dead time between exposures
when the detector is busy reading out the previous image. The time
required varies from a few seconds to a few minutes. We need an instrument
with essentially zero dead time, so we can record the rapidly variable
phenomena without interruption.
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