Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 609

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Tailoring of arbitrary optical vector beams

Open access
Maurer, Christian, Jesacher, Alexander, Fürhapter, Severin, Bernet, Stefan, Ritsch-Marte, Monika·2007·New Journal of Physics

Abstract

We present a robust interferometric method to generate arbitrary vector beam modes by diffracting a Gaussian laser beam from a spatial light modulator consisting of a high-resolution reflective nematic liquid crystal display. Vector beams may have the same intensity cross-section as the more common scalar Laguerre–Gaussian (LG) or Hermite–Gaussian (HG) beams, but with a spatially modulated polarization distribution. Special cases are the radially or azimuthally polarized 'doughnut' modes, which have superior focusing properties and promise novel applications in many fields, such as optical trapping, spectroscopy and super-resolution microscopy. Our system allows video rate switching between vector beam modes. We demonstrate the generation of high quality Hermite–Gaussian and Laguerre–Gaussian vector beam modes of different order, of vectorial anti-vortices, and of mode mixtures with interesting non-symmetric polarization distributions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1088/1367-2630/9/3/078

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 609

Metadata

Authors
Maurer, C., Jesacher, A., Fürhapter, S., Bernet, S., & Ritsch-Marte, M.
Venue
New Journal of Physics
Published
2007-03-30
Volume
9
Issue
3
Pages
78-78
ISSN
1367-2630 (ISSN-L)
OpenAlex
W2103597275
Cited by
609
References
1
FWCI
6.72
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Tailoring of arbitrary optical vector beams. https://app.cochat.ai/papers/10.1088/1367-2630/9/3/078
The paper
Maurer, C., Jesacher, A., Fürhapter, S., Bernet, S., & Ritsch-Marte, M. (2007). Tailoring of arbitrary optical vector beams. New Journal of Physics. https://doi.org/10.1088/1367-2630/9/3/078

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.