Adaptive Manipulation of Objects in Hilbert Space via Strong Field Lasers

Wednesday, November 9, 2005 - 2:00pm - 3:00pm
EE/CS 3-180
Robert Levis (Temple University)
We propose a new approach to classical detection problem of discrimination
of a true signal from an interferent signal. We show that the detection
performance, as quantified by the receiver operating curve (ROC), can be
substantially improved when the signal is represented by a multi-component
data set that is actively manipulated by a shaped probing pulse. In this
case, the signal sought (agent) and the interfering signal (interferent) are
visualized by vectors in a multi-dimensional detection space. Separation of
these vectors is achieved by adaptive modification of a probing laser pulse
to actively manipulate the Hamiltonian of the agent and interferent. We
demonstrate one implementation of the concept of adaptive rotation of signal
vectors to chemical agent detection by means of strong-field time-of-flight
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