LORABEL reduces mean background flux by 20-100 times versus chop-nod in SOFIA airborne data while preserving source flux and improves photometric consistency in low S/N ground-based VISIR observations.
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Thermal background reduction for mid-infrared imaging by low-rank background and sparse point-source modelling
LORABEL reduces mean background flux by 20-100 times versus chop-nod in SOFIA airborne data while preserving source flux and improves photometric consistency in low S/N ground-based VISIR observations.