Leírás
Networks are widely employed for the description of complex phenomena
occuring in nature, society, and communication. A considerable amount
of our chemical knowledge is based on high-resolution spectroscopy
measurements, detecting transitions among discrete energy levels the
chemical systems possess according to quantum mechanics. A
network-based approach to handle large spectroscopic datasets has been
developed during the last decade and applied successfully to the
complex measured spectra of several molecules, some of astrophysical
interest and some related to the greenhouse effect. In this
presentation we will introduce the concept of spectroscopic networks
(SN) and seek answers to the following questions:
(1) How many components do (measured and computed) spectroscopic
networks have and what are their characteristics?
(2) How can network theory improve the information systems storing
high-resolution spectro-scopic data used by modellers, engineers, and
scientists?
(3) What is the relationship between cycles of SNs and the law of
energy conservation (LEC)?
(4) How to use the LEC equations to
(a) determine the term (energy) values of energy levels participating
in a transition as
accurately as possible,
(b) detect transitions with incorrect experimental wavenumbers or
assignments, and
(c) characterize/improve the measurement uncertainties?
(5) What is the effect of bridges on the term values of energy levels in SNs?
Beyond these problems, some open questions will also be introduced:
(1) How to treat parallel edges (coincident transitions) in the light
of the LEC?
(2) How to construct a cycle basis which is most sensitive to the
presence of outliers?
(3) What is the fastest way to approximate this cycle basis?
The talk is held in Hungarian!
Az előadás nyelve magyar!