6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification l...

6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification l...

Weak gravitational lensing by large scale structure affects the number counts of faint galaxies through the “magnification bias” and thus affects the measurement of the angular two-point correlation function ω(θ). At faint magnitudes the clustering amplitude will decrease differently with limiting magnitude than expected from Limber’s equation. The amplitude will hit a minimum and then rise wit...

A massive foreground cluster lens changes the shapes (shear effect) and number density (magnification effect) of the faint background galaxy population. In this paper we investigate how the shear, magnification and combined information can be used to constrain cluster mass profiles in the weak lensing regime. We develop maximum likelihood techniques to make quantitative predictions for each of ...

We present a multi-mode excitation technique to significantly amplify the amplitude signal of micro-resonators-based sensors operating at their higher-order modes. show that can reduce noise effects, elevate dynamic response level, and total response. demonstrate efficiency enhance performance gas sensor using electrothermally heated doubly-clamped buckled beams. The results indicate clear ampl...