Some remarks on the inverse Smoluchowski problem for cluster-cluster aggregation

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 4 figures. Conference presentation made at "Particles in Turbulence 2011", University of Potsdam 16-18 March 2011

Scientific paper

It is proposed to revisit the inverse problem associated with Smoluchowski's coagulation equation. The objective is to reconstruct the functional form of the collision kernel from observations of the time evolution of the cluster size distribution. A regularised least squares method originally proposed by Wright and Ramkrishna (1992) based on the assumption of self-similarity is implemented and tested on numerical data generated for a range of different collision kernels. This method expands the collision kernel as a sum of orthogonal polynomials and works best when the kernel can be expressed exactly in terms of these polynomials. It is shown that plotting an "L-curve" can provide an a-priori understanding of the optimal value of the regularisation parameter and the reliability of the inversion procedure. For kernels which are not exactly expressible in terms of the orthogonal polynomials it is found empirically that the performance of the method can be enhanced by choosing a more complex regularisation function.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Some remarks on the inverse Smoluchowski problem for cluster-cluster aggregation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Some remarks on the inverse Smoluchowski problem for cluster-cluster aggregation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Some remarks on the inverse Smoluchowski problem for cluster-cluster aggregation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-623729

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.