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Recent advances from astronomical surveys have revealed spatial, chemical, and kinematical inhomogeneities in the inner region of the stellar halo of the Milky Way Galaxy. In particular, large spectroscopic surveys, combined with Gaia astrometric data, have provided powerful tools for analyzing the detailed abundances and accurate kinematics for individual stars. Despite these noteworthy efforts, however, spectroscopic samples are typically limited by the numbers of stars considered; their analysis and interpretation are also hampered by the complex selection functions that are often employed. Here we present a powerful alternative approach $-$ a synoptic view of the spatial, chemical, and kinematical distributions of stars in the Milky Way based on large photometric survey databases, enabled by a well-calibrated technique for obtaining individual stellar metal abundances from broad-band photometry. We combine metallicities with accurate proper motions from the Gaia mission along the Prime Meridian of the Galaxy, and find that various stellar components are clearly separated from each other in the metallicity versus rotation-velocity space. The observed metallicity distribution of the inner-halo stars deviates from the traditional single-peaked distribution, and exhibits complex substructures comprising varying contributions from individual stellar populations, sometimes with striking double peaks at low metallicities. The substructures revealed from our less-biased, comprehensive maps demonstrate the clear advantages of this approach, which can be built upon by future mixed-band and broad-band photometric surveys, and used as a blueprint for identifying the stars of greatest interest for upcoming spectroscopic studies., Comment: 15 pages, 11 figures. Accepted for publication in the Astrophysical Journal after minor revision

We report on the discovery of 29 cephid variables in the galaxy M101 after using the original Wide Field Camera (WFC 1) and the new Wide Field and Planetary Camera (WFPC 2) on the Hubble Space Telescope (HST), to observe a field in M101 at 14 independent epochs in F555W.

The FIRST survey to produce Faint Images of the Radio Sky at Twenty centimeters is now underway using the NRAO Very Large Array. We describe here the scientific motivation for a large-area sky survey at radio frequencies which has a sensitivity and angular resolution comparable to the Palomar Observatory Sky Survey, and we recount the history that led to the current survey project. The technical design of the survey is covered in detail, including a description and justification of the grid pattern chosen, the rationale behind the integration time and angular resolution selected, and a summary of the other considerations which informed our planning for the project. A comprehensive description of the automated data analysis pipeline we have developed is presented. We also report here the results of the first year of FIRST observations. A total of 144 hr of time in 1993 April and May was used for a variety of tests, as well as to cover an initial strip of the survey extending between 07{sup h}15{sup m} and 16{sup h}30{sup m} in a 2{sq_bullet}8 wide declination zone passing through the local zenith (28.2{lt}{delta}{lt}31.0). A total of 2153 individual pointings yielded an image database containing 1039 merged images 46{sq_bullet}5{times}34{sq_bullet}5more » in extent with 1{center_dot}{double_prime}8 pixels and a typical rms of 0.13 mJy. A catalog derived from this 300 deg{sup 2} region contains 28,000 radio sources. We have performed extensive tests on the images and source list in order to establish the photometric and astrometric accuracy of these data products. We find systematic astrometric errors of {lt}0{center_dot}{double_prime}05; individual sources down to the 1 mJy survey flux density threshold have 90{percent} confidence error circles with radii of {lt}1{double_prime}. CLEAN bias introduces a systematic underestimate of point-source flux densities of {approximately}0.25 mJy; the bias is more severe for extended sources. (Abstract Truncated)« less