Skip to main content

Optimized Particle Regeneration Scheme for the Wigner Monte Carlo Method

  • Conference paper
  • First Online:
Book cover Numerical Methods and Applications (NMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8962))

Included in the following conference series:

Abstract

The signed-particle Monte Carlo method for solving the Wigner equation has made multi-dimensional solutions numerically feasible. The latter is attributable to the concept of annihilation of independent indistinguishable particles, which counteracts the exponential growth in the number of particles due to generation. After the annihilation step, the particles regenerated within each cell of the phase-space should replicate the same information as before the annihilation, albeit with a lesser number of particles. Since the semi-discrete Wigner equation allows only discrete momentum values, this information can be retained with regeneration, however, the position of the regenerated particles in the cell must be chosen wisely. A simple uniform distribution over the spatial domain represented by the cell introduces a ‘numerical diffusion’ which artificially propagates particles simply through the process of regeneration. An optimized regeneration scheme is proposed, which counteracts this effect of ‘numerical diffusion’ in an efficient manner.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akhiezer, N.: The Classical Moment Problem: And Some Related Questions in Analysis. University Mathematical Monographs, Oliver & Boyd, London (1965)

    MATH  Google Scholar 

  2. Ellinghaus, P., Nedjalkov, M., Selberherr, S.: Implications of the coherence length on the discrete wigner potential. In: Abstracts of the 16th International Workshop on Computational Electronics (IWCE), pp. 155–156 (2014)

    Google Scholar 

  3. Karian, Z., Dudewicz, E.: Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods. Taylor & Francis, New York (2010)

    Book  Google Scholar 

  4. Nedjalkov, M., Schwaha, P., Selberherr, S., Sellier, J.M., Vasileska, D.: Wigner quasi-particle attributes - an asymptotic perspective. Appl. Phys. Lett. 102(16), 163113 (2013)

    Article  Google Scholar 

  5. Nedjalkov, M., Vasileska, D.: Semi-discrete 2D wigner-particle approach. J. Comput. Electron. 7(3), 222–225 (2008)

    Article  Google Scholar 

  6. Shohat, J.A., Tamarkin, J.D., Society, A.M.: The Problem of Moments. Mathematical Surveys and Monographs. American Mathematical Society, Providence (1943)

    Book  MATH  Google Scholar 

Download references

Acknowledgement

This research has been supported by the Austrian Science Fund through the project WigBoltz (FWF-P21685-N22).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul Ellinghaus .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Ellinghaus, P., Nedjalkov, M., Selberherr, S. (2015). Optimized Particle Regeneration Scheme for the Wigner Monte Carlo Method. In: Dimov, I., Fidanova, S., Lirkov, I. (eds) Numerical Methods and Applications. NMA 2014. Lecture Notes in Computer Science(), vol 8962. Springer, Cham. https://doi.org/10.1007/978-3-319-15585-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15585-2_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15584-5

  • Online ISBN: 978-3-319-15585-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics