The Science Performance of JWST as Characterized in Commissioning

This paper characterizes the actual science performance of the James Webb Space Telescope (JWST), as determined from the six month commissioning period. We summarize the performance of the spacecraft, telescope, science instruments, and ground system, with an emphasis on differences from pre-launch expectations. Commissioning has made clear that JWST is fully capable of achieving the discoveries for which it was built. Moreover, almost across the board, the science performance of JWST is better than expected; in most cases, JWST will go deeper faster than expected. The telescope and instrument suite have demonstrated the sensitivity, stability, image quality, and spectral range that are necessary to transform our understanding of the cosmos through observations spanning from near-earth asteroids to the most distant galaxies.Comment: 5th version as accepted to PASP; 31 pages, 18 figures; https://iopscience.iop.org/article/10.1088/1538-3873/acb29

REGION DETECTION USING A MODEL OF VISUAL CORTEX IN THE CAT (COMPUTER VISION, ARTIFICIAL INTELLIGENCE, NEUROPHYSIOLOGY)

This dissertation describes a model of the visual cortex of the cat. The model has been applied to some of the problems faced by contemporary computer vision systems. The model goes beyond previous models of visual cortex in that it models both the anatomy of visual cortex and the ability of individual cells in visual cortex to learn. The model is based on the hypothesis that image processing in the cat\u27s visual system consists of three levels: the retinothalamic, the primary and secondary cortical (Area 17, 18, and 19), and the associative. The retinothalamic system is modeled by using operators modeling different types of retinal ganglion cells (X, Y, and W). Cells in Areas 17, 18, and 19 are modeled using CAMs, which are models of cortical cells having associative and plastic properties. CAMs modeling Areas 17, 18 and 19 use unsupervised learning to form primitives for segmenting preprocessed images on the basis of edges, moving edges, and texture. Only one associative area, Area 21, is modeled. The model of Area 21 receives input from the models of Areas 17 and 19 via the model of the Lateral Pulvinar, which transforms the segmentations into geometrical features on the basis of the two-dimensional regions. The model of Area 21 uses supervised learning to form pattern classes which are specific and hence useful to a particular domain (environment). The domains used to test the model are Roman text, Japanese text, digitized photographs of house scenes, and examples of various textures. Experiments demonstrate that the model is relevant to computer vision research because it presents a method of solving the problem of domain-specific knowledge in computer vision systems. The model also demonstrates that many techniques for computer vision systems are suggested by the anatomy and physiology of the cat\u27s visual system

High resolution far-infrared spectroscopy of trans- and gauche-butadiene.

International audienc

High resolution far-infrared spectroscopy of trans- and gauche-butadiene.

International audienc

The Citizen Artist : 20 Years of Art in the Public Arena : An Anthology from High Performance Magazine 1978-1998, Vol. I

An anthology of articles from High Performance Magazine published between 1978 and 1998, comprised mainly of interviews with artists grouped under three themes: the art/life experiment, the artist as activist, and the artist as citizen. Durland claims the groupings reflect the evolution of the magazine’s editorial concerns, from performance art to activist art to community-based art. Each text, he notes, is linked by the desire to reach beyond the traditional forms, content, and context of the arts to engage with a broader community. Biographical notes. Bibl. 4 p