We consider the statistical analysis of random sections of a spin fibre bundleover the sphere. These may be thought of as random fields that at each point $p\in \mathbb{S}^{2}$ take as a value a curve (e.g. an ellipse) living in the tangent plane at that point $T_{p}\mathbb{S}^{2}$, rather than a number as in ordinary situations. The analysis of such fields is strongly motivated by applications, for instance polarization experiments in Cosmology. To investigate such fields, spin needlets were recently introduced by [21] and [20]. We consider the use of spin needlets for spin angular power spectrum estimation, in the presence of noise and missing observations, and we provide Central Limit Theorem results, in the high frequency sense; we discuss also tests for bias and asymmetries with an asymptotic justification.
Geller, D., Lan, X., Marinucci, D. (2009). Spin Needlet Spectral Estimation. ELECTRONIC JOURNAL OF STATISTICS, 3, 1597-1630 [10.1214/09-EJS448].
Spin Needlet Spectral Estimation
MARINUCCI, DOMENICO
2009-01-01
Abstract
We consider the statistical analysis of random sections of a spin fibre bundleover the sphere. These may be thought of as random fields that at each point $p\in \mathbb{S}^{2}$ take as a value a curve (e.g. an ellipse) living in the tangent plane at that point $T_{p}\mathbb{S}^{2}$, rather than a number as in ordinary situations. The analysis of such fields is strongly motivated by applications, for instance polarization experiments in Cosmology. To investigate such fields, spin needlets were recently introduced by [21] and [20]. We consider the use of spin needlets for spin angular power spectrum estimation, in the presence of noise and missing observations, and we provide Central Limit Theorem results, in the high frequency sense; we discuss also tests for bias and asymmetries with an asymptotic justification.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.