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Photon statistics characterization of a single photon source

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Romain Alleaume, Francois Treussart, Jean-Michel Courty, Jean-Francois Roch

Quantum Physics · Submitted 9 Dec 2003

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Finally, source intensity noise analysis using the Mandel parameter is quantitatively compared to the usual approach relying on the time autocorrelation function, both methods yielding the same molecular dynamical parameters.

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arXiv IDquant-ph/0312084 (version 1)
Pith IDM6VZYSSW, Pith's permanent record of this paper and its review
CitationFrancois Treussart, Jean-Francois Roch, Jean-Michel Courty, Romain Alleaume. "Photon statistics characterization of a single photon source." arXiv:quant-ph/0312084 (2003). https://pith.science/paper/M6VZYSSW
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,560 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.08 · human participants 0.02 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.14 · compares with prior results 0.95 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

n a recent experiment, we reported the time-domain intensity noise measurement of a single photon source relying on single molecule fluorescence control. In this article we present data processing, starting from photocount timestamps. The theoretical analytical expression of the time-dependent Mandel parameter Q(T) of an intermittent single photon source is derived from ON<->OFF dynamics . Finally, source intensity noise analysis using the Mandel parameter is quantitatively compared to the usual approach relying on the time autocorrelation function, both methods yielding the same molecular dynamical parameters.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 n a recent experiment, we reported the time-domain intensity noise measurement of a single photon source relying on single molecule fluorescence control. background 0.94 0.71 0.05 asserted 1.00
s1 In this article we present data processing, starting from photocount timestamps. method 0.58 0.87 0.04 asserted 0.95
s2 The theoretical analytical expression of the time-dependent Mandel parameter Q(T) of an intermittent single photon source is derived from ON<->OFF dynamics . method 0.61 0.90 0.12 asserted 1.00
s3 Finally, source intensity noise analysis using the Mandel parameter is quantitatively compared to the usual approach relying on the time autocorrelation function, both methods yielding the same molecular dynamical parameters. result 0.97 0.90 0.74 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.62 · evidence from analysis of existing data 0.59.

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  • T body sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

n a recent experiment, we reported the time-domain intensity noise measurement of a single photon source relying on single molecule fluorescence control. In this article we present data processing, starting from photocount timestamps. The theoretical analytical expression of the time-dependent Mandel parameter Q(T) of an intermittent single photon source is derived from ON<->OFF dynamics . Finally, source intensity noise analysis using the Mandel parameter is quantitatively compared to the usual approach relying on the time autocorrelation function, both methods yielding the same molecular dynamical parameters.

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