scispace - formally typeset
Search or ask a question
Institution

University of California, Santa Cruz

EducationSanta Cruz, California, United States
About: University of California, Santa Cruz is a education organization based out in Santa Cruz, California, United States. It is known for research contribution in the topics: Galaxy & Population. The organization has 15541 authors who have published 44120 publications receiving 2759983 citations. The organization is also known as: UCSC & UC, Santa Cruz.
Topics: Galaxy, Population, Stars, Redshift, Star formation


Papers
More filters
Journal ArticleDOI
TL;DR: Detailed investigation of the higher-order structure of 16 S ribosomal RNA and extensive protection of conserved, unpaired adenines upon formation of 30 S subunits suggests that they play a special role in the assembly process, possibly providing signals for protein recognition.

484 citations

Journal ArticleDOI
TL;DR: Predicting the strength and context-dependence of species interactions across multiple scales; identifying the importance of feedbacks from individual interactions to ecosystem dynam- ics; and linking pattern with process to understand species coexistence are focused on.
Abstract: We propose research to fill key gaps in the areas of population and community ecology, based on a National Science Foundation workshop identifying funding priorities for the next 5-10 years. Our vision for the near future of ecology focuses on three core areas: predicting the strength and context-dependence of species interactions across multiple scales; identifying the importance of feedbacks from individual interactions to ecosystem dynam- ics; and linking pattern with process to understand species coexistence. We outline a combination of theory devel- opment and explicit, realistic tests of hypotheses needed to advance population and community ecology.

484 citations

Journal ArticleDOI
TL;DR: In this article, a population synthesis model that accounts for the effect of variable abundance ratios of 11 elements was proposed to analyze very high quality absorption line spectra of 38 early-type galaxies and the nuclear bulge of M31.
Abstract: The spectral absorption lines in early-type galaxies contain a wealth of information regarding the detailed abundance pattern, star formation history, and stellar initial mass function (IMF) of the underlying stellar population. Using our new population synthesis model that accounts for the effect of variable abundance ratios of 11 elements, we analyze very high quality absorption line spectra of 38 early-type galaxies and the nuclear bulge of M31. These data extend to 1 μm and they therefore include the IMF-sensitive spectral features Na I, Ca II, and FeH at 0.82 μm, 0.86 μm, and 0.99 μm, respectively. The models fit the data well, with typical rms residuals 1%. Strong constraints on the IMF and therefore the stellar mass-to-light ratio, (M/L)stars, are derived for individual galaxies. We find that the IMF becomes increasingly bottom-heavy with increasing velocity dispersion and [Mg/Fe]. At the lowest dispersions and [Mg/Fe] values the derived IMF is consistent with the Milky Way (MW) IMF, while at the highest dispersions and [Mg/Fe] values the derived IMF contains more low-mass stars (is more bottom-heavy) than even a Salpeter IMF. Our best-fit (M/L)stars values do not exceed dynamically based M/L values. We also apply our models to stacked spectra of four metal-rich globular clusters in M31 and find an (M/L)stars that implies fewer low-mass stars than a MW IMF, again agreeing with dynamical constraints. We discuss other possible explanations for the observed trends and conclude that variation in the IMF is the simplest and most plausible.

483 citations

Journal ArticleDOI
TL;DR: Nanopore detection and characterization of single molecules represents a new method for directly reading information encoded in linear polymers and it is possible that nucleic acid sequences can be determined at rates exceeding a thousand bases per second.

482 citations


Authors

Showing all 15733 results

NameH-indexPapersCitations
David J. Schlegel193600193972
David R. Williams1782034138789
John R. Yates1771036129029
David Haussler172488224960
Evan E. Eichler170567150409
Anton M. Koekemoer1681127106796
Mark Gerstein168751149578
Alexander S. Szalay166936145745
Charles M. Lieber165521132811
Jorge E. Cortes1632784124154
M. Razzano155515106357
Lars Hernquist14859888554
Aaron Dominguez1471968113224
Taeghwan Hyeon13956375814
Garth D. Illingworth13750561793
Network Information
Related Institutions (5)
University of California, Berkeley
265.6K papers, 16.8M citations

94% related

Massachusetts Institute of Technology
268K papers, 18.2M citations

93% related

University of Illinois at Urbana–Champaign
225.1K papers, 10.1M citations

92% related

Max Planck Society
406.2K papers, 19.5M citations

92% related

Stanford University
320.3K papers, 21.8M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022328
20212,157
20202,353
20192,209
20182,157