Placing Confidence Limits on Polarization Measurements
By J. Vaillancourt. 2006
155 citations recorded by the source corpus.
The determination of the true source polarization given a set of measurements is complicated by the requirement that the polarization always be positive. This positive bias also hinders construction of upper limits, uncertainties, and confidence regions, especially at low signal‐to‐noise ratios (S/Ns). We take a Bayesian approach to creating confidence regions and upper limits by integrating over the likelihood function for polarization measurements. These regions are valid for both low‐ and high‐S/N measurements.
Subfields: Astronomy and Astrophysics, Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/50e14c73eba57c609bc9a5ed8601313f1f330d60
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In Astronomy and Astrophysics
Citations in the corpus
- TADPOL: A 1.3 mm SURVEY OF DUST POLARIZATION IN STAR-FORMING CORES AND REGIONS (2013, methodology): “5σP , we calculated Pc by finding the maximum of the probability distribution function (i.e., the most probable value) of the true polarization Pc given the observed polarization P (see Vaillancourt 2006).”
- THE LEGACY OF SCUPOL: 850 μm IMAGING POLARIMETRY FROM 1997 TO 2005 (2009, background): “A bias exists that tends to increase the polarization percentage value, even when Q and U are consistent with a value of zero because polarization percentage is forced to be positive (Vaillancourt 2006).”
- Polarization of the Crab Pulsar and Nebula as Observed by the INTEGRAL/IBIS Telescope (2008, unknown): “…a and ψ from Npt independent data points in N(ψ) over a π period, based on Gaussian distributions for the orthogonal Stokes components (Weisskopf 2006, Vaillancourt 2006, Vinokur 1965): dP (a, ψ) = Npt S 2 π σ2S exp[− Npt S 2 2 σ2S [a2 + a20 − 2aa0cos(2ψ − 2ψ0)]] a da dψ (2) σS notes the error…”