To study the role of protosellar jets and outflows in the time evolution of the parent cores and the protostars, the astronomical community needs a large enough data base of infrared images of protostars at the highest spatial resolution possible, to reveal the details of their morphology. Spitzer provides unprecedented sensitivity in the infrared to study both the jet and outflow features, however its spatial resolution is limited by its 0.85m mirror. Here we use a high resolution deconvolution algorithm, HiRes, to improve the visualization of spatial morphology by enhancing resolution (to sub-arcsecond levels in the IRAC bands) and removing the contaminating sidelobes from bright sources in a sample of 89 protostellar objects. These reprocessed images are useful to detect: (i) wide angle outflow seen in scattered light; (ii) morphological details of H2 emission in jets and bow shocks; and (iii) compact features in MIPS 24 micron images as protostar/ disk and atomic/ionic line emissions associated with the jets. The HiRes fits image data of such a large homogeneous sample presented here will be useful to the community in studying these protostellar objects. To illustrate the utility of this HiRes sample, we show how the opening angle of the wide angle outflows in 31 sources, all observed in the HiRes processed Spitzer images, correlates with age. Our data suggest a power law fit to opening angle versus age with an exponent of ~0.32 and 0.02, respectively for ages less than 8000 yr and greater than 8000 yr.
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