| Abstract
| - Aims. We develop a code, the B atI mager, for efficient data processing and image reconstruction of the Swift-BAT survey data. Methods. The software performs image reconstruction via the cross-correlation method and also generates source spectra and light curves. The software is optimized for the direct production of all-sky mosaics on an equi-area spherical grid. To reduce systematic errors, we perform an accurate inflight calibration of the instrument, producing an improved description of the mask pattern, time-dependent pixel equalization maps, boresight misalignment correction, and energy dependent off-axis count rate correction. Results. The software is fully tested and used for the analysis of BAT survey data, demonstrating that the B atI mager is competitive in exploiting the BAT capabilities both for sensitivity and for position reconstruction.
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