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Podcasts offer a unique tool in making science learning informative, engaging, and entertaining. They provide an excellent way to incorporate storytelling in science instruction. Podcasts can be accessed easily and free of cost on any internet-enabled device. Recording podcasts is also easy and inexpensive, making them useful to record lesson summaries and other content for revision. This article outlines different ways of using podcasts in the teaching and learning process. To support informal learning, podcasts typically cover cross-disciplinary issues that are relevant to present times as well as those important to local communities. They also feature interviews with researchers who walk through the scientific process of their discoveries. All of these things add value to a physics unit beyond textbook content. In a subject where assessments are dominated by mathematical equations, student-recorded podcasts offer an opportunity for students to string together spoken-word narratives of physics phenomena. In this article, we outline an example lesson centered around the NPR Short Wave podcast. [ABSTRACT FROM AUTHOR]

A number of synoptic sky surveys are underway or being planned. Typically, they are done with small telescopes and relatively short exposure times. A search for transient or variable sources involves comparison with deeper baseline images, ideally obtained through the same telescope and camera. With that in mind, we have stacked images from the 0.68 m Schmidt telescope on Mt. Bigelow taken over 10 yr as part of the Catalina Sky Survey. In order to generate deep reference images for the Catalina Real-time Transient Survey (CRTS), close to 0.8 million images over 8000 fields and covering over 27 000 sq. deg have gone into the deep stack that goes up to 3 mag deeper than individual images. CRTS system does not use a filter in imaging; hence, there is no standard passband in which the optical magnitude is measured. We estimate depth by comparing these wide-band unfiltered co-added images with images in the g band and find that the image depth ranges from 22.0 to 24.2 across the sky, with a 200-image stack attaining an equivalent AB magnitude sensitivity of 22.8. We compared various state-of-the-art software packages for co-adding astronomical images and have used swarp for the stacking. We describe here the details of the process adopted. This methodology may be useful in other panoramic imaging applications, and to other surveys as well. The stacked images are available through a server at Inter-University Centre for Astronomy and Astrophysics. [ABSTRACT FROM AUTHOR]