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Science: Image In Action - Proceedings Of The 7th International Workshop On Data Analysis In Astronomy "Livio Scarsi And Vito Digesu" (Hardcover)
Loot Price: R4,140
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Science: Image In Action - Proceedings Of The 7th International Workshop On Data Analysis In Astronomy "Livio Scarsi And Vito Digesu" (Hardcover)
Series: The Science And Culture Series - Astrophysics, 0
Expected to ship within 12 - 17 working days
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The book gathers articles that were exposed during the seventh
edition of the Workshop "Data Analysis in Astronomy". It
illustrates a current trend to search for common expressions or
models transcending usual disciplines, possibly associated with
some lack in the Mathematics required to model complex systems. In
that, data analysis would be at the epicentre and a key facilitator
of some current integrative phase of Science.It is all devoted to
the question of "representation in Science", whence its name, IMAGe
IN AcTION, and main thrustsSuch a classification makes concepts as
"complexity" or "dynamics" appear like transverse notions: a
measure among others or a dimensional feature among others.Part A
broadly discusses a dialogue between experiments and information,
be information extracted-from or brought-to experiments. The
concept is fundamental in statistics and tailors to the emergence
of collective behaviours. Communication then asks for uncertainty
considerations - noise, indeterminacy or approximation - and its
wider impact on the couple perception-action. Clustering being all
about uncertainty handling, data set representation appears not to
be the only solution: Introducing hierarchies with adapted metrics,
a priori pre-improving the data resolution are other methods in
need of evaluation. The technology together with increasing
semantics enables to involve synthetic data as simulation results
for the multiplication of sources.Part B plays with another couple
important for complex systems: state vs. transition. State-first
descriptions would characterize physics, while transition-first
would fit biology. That could stem from life producing dynamical
systems in essence. Uncertainty joining causality here, geometry
can bring answers: stable patterns in the state space involve
constraints from some dynamics consistency. Stable patterns of
activity characterize biological systems too. In the living world,
the complexity - i.e. a global measure on both states and
transitions - increases with consciousness: this might be a
principle of evolution. Beside geometry or measures, operators and
topology have supporters for reporting on dynamical systems.
Eventually targeting universality, the category theory of
topological thermodynamics is proposed as a foundation of dynamical
system understanding.Part C details examples of actual data-system
relations in regards to explicit applications and experiments. It
shows how pure computer display and animation techniques link
models and representations to "reality" in some "concrete" virtual,
manner. Such techniques are inspired from artificial life, with no
connection to physical, biological or physiological phenomena! The
Virtual Observatory is the second illustration of the evidence that
simulation helps Science not only in giving access to more flexible
parameter variability, but also due to the associated data and
method storing-capabilities. It fosters interoperability,
statistics on bulky corpuses, efficient data mining possibly
through the web etc. in short a reuse of resources in general,
including novel ideas and competencies. Other examples deal more
classically with inverse modelling and reconstruction, involving
Bayesian techniques or chaos but also fractal and symmetry.
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