Super-resolution in map-making based on a physical instrument model and regularized inversion. Application to SPIRE/Herschel
arXiv:1103.3698 · doi:10.1051/0004-6361/201116817
Abstract
We investigate super-resolution methods for image reconstruction from data provided by a family of scanning instruments like the Herschel observatory. To do this, we constructed a model of the instrument that faithfully reflects the physical reality, accurately taking the acquisition process into account to explain the data in a reliable manner. The inversion, ie the image reconstruction process, is based on a linear approach resulting from a quadratic regularized criterion and numerical optimization tools. The application concerns the reconstruction of maps for the SPIRE instrument of the Herschel observatory. The numerical evaluation uses simulated and real data to compare the standard tool (coaddition) and the proposed method. The inversion approach is capable to restore spatial frequencies over a bandwidth four times that possible with coaddition and thus to correctly show details invisible on standard maps. The approach is also applied to real data with significant improvement in spatial resolution.
Astronomy & Astrophysics
References in corpus (5)
- Herschel Space Observatory - An ESA facility for far-infrared and submillimetre astronomy
- The Photodetector Array Camera and Spectrometer (PACS) on the Herschel Space Observatory
- The Herschel-SPIRE instrument and its in-flight performance
- Herschel-SPIRE observations of the Polaris flare : structure of the diffuse interstellar medium at the sub-parsec scale
- SANEPIC: A Map-Making Method for Timestream Data From Large Arrays
Cited by in corpus (4)
- Superresolution Reconstruction of Severely Undersampled Point-spread Functions Using Point-source Stacking and Deconvolution
- Gradient Scan Gibbs Sampler: an efficient algorithm for high-dimensional Gaussian distributions
- Estimation of high-resolution dust column density maps: Empirical model fits
- An automated approach for photometry and dust mass calculation of the Crab nebula