Finite density simulations using a determinant estimator

Andrei Alexandru, Anyi Li, Keh Fei Liu

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


Previous investigations have shown that the canonical approach to simulating QCD at finite density is promising. The algorithm we used in our earlier work employs an exact calculation of the fermionic determinant which limits the size of the lattices we can simulate. Interesting questions can only be answered if we simulate at larger volume. In this paper we explore an algorithm, Hybrid Noisy Monte Carlo, that employs a determinant estimator rather than an exact calculation. We first present the technical aspects of the estimator, check that the algorithm is correct by comparing it with our previous study, and then discuss its merits. We will also discuss the challenges faced when simulating larger lattice volumes.

Original languageEnglish
Article number167
JournalProceedings of Science
StatePublished - 2007
Event25th International Symposium on Lattice Field Theory, LATTICE 2007 - Regensburg, Germany
Duration: Jul 30 2007Aug 4 2007

Bibliographical note

Publisher Copyright:
© Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Finite density simulations using a determinant estimator'. Together they form a unique fingerprint.

Cite this