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A Heidmann

Publications and source records attributed to A Heidmann.

13 recordsLinked to original sources

Radiation-pressure cooling and optomechanical instability of a micromirror.

Recent table-top optical interferometry experiments and advances in gravitational-wave detectors have demonstrated the capability of optical interferometry to detect displacements with high sensitivity. Operation at higher powers will be crucial for further sensitivity enhancement, but dynamical effects caused by radiation pressure on the interferometer mirrors must be taken into account, and the appearance of optomechanical instabilities may jeopardize the stable operation of the next generation of interferometers. These instabilities are the result of a nonlinear coupling between the motion of the mirrors and the optical field, which modifies the effective dynamics of the mirror. Such 'optical spring' effects have already been demonstrated for the mechanical damping of an electromagnetic waveguide with a moving wall, the resonance frequency of a specially designed flexure oscillator, and the optomechanical instability of a silica microtoroidal resonator. Here we present an experiment where a micromechanical resonator is used as a mirror in a very high-finesse optical cavity, and its displacements are monitored with unprecedented sensitivity. By detuning the laser frequency with respect to the cavity resonance, we have observed a drastic cooling of the microresonator by intracavity radiation pressure, down to an effective temperature of 10 kelvin. For opposite detuning, efficient heating is observed, as well as a radiation-pressure-induced instability of the resonator. Further experimental progress and cryogenic operation may lead to the experimental observation of the quantum ground state of a micromechanical resonator, either by passive or active cooling techniques.

Journal Article↗

High-sensitivity optical monitoring of a micromechanical resonator with a quantum-limited optomechanical sensor.

We experimentally demonstrate the high-sensitivity optical monitoring of a micromechanical resonator and its cooling by active control. Coating a low-loss mirror upon the resonator, we have built an optomechanical sensor based on a very high-finesse cavity (30 000). We have measured the thermal noise of the resonator with a quantum-limited sensitivity at the 10(-19) m/sqrt[Hz] level, and cooled the resonator down to 5 K by a cold-damping technique. Applications of our setup range from quantum optics experiments to the experimental demonstration of the quantum ground state of a macroscopic mechanical resonator.

Journal Article↗

[Selective stabilization of neuronal representations by resonance between spontaneous prerepresentations of the cerebral network and percepts evoked by interaction with the outside world].

Changeux et al. (Changeux, Heidmann and Patte, in "The Biology of Learning" Dahlem Conference, 1984, pp. 115-133, Springer Verlag) have recently discussed a model of "learning by selection" in which the storage of patterns of activity--or prerepresentations--within a network of neurons, results from the coincidence or "resonance" between a spontaneous activity of the neurons and external signals applied to the network--for instance sensory stimuli. In this Note, a mathematical formulation of the model is presented, based on that proposed by Little and Shaw (Little, Math. Biosci., 19, 1974, pp. 101-120; Little and Shaw, Math. Biosci., 39, 1978, pp. 281-290) for the statistical analysis of neuronal activity within a network, and on a rule for modulation of synaptic efficacies derived from that proposed by Hebb (Hebb, The Organisation of Behaviour, 1949, Wiley). The effect of an external signal sigma on the probability P(beta) of occurrence of a given prerepresentation beta under stationary conditions has been analytically derived [cf. equation (16) in text]. Taking into account that the system spontaneously fluctuates between various prerepresentations, it is shown that P(beta) is increased by the external signal sigma when (1) beta is close to sigma--namely the external signal significantly modifies the probabilities of those prerepresentations that resemble sigma--, and (2) when the external signal sigma sets the neurons precisely in the state that they would have more probably reached at the moment when the external signal was applied. Namely there should exist a "resonance" between sigma and the prerepresentation of the network when sigma is applied.

Animals↗