PDF-Lecture 3: galaxy components
Author : jane-oiler | Published Date : 2016-06-08
Galaxies
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Lecture 3: galaxy components: Transcript
Galaxies. Weipeng Lin. Shanghai Astronomical Observatory, CAS, China. linwp@shao.ac.cn. Theory of structure formation. Origin. :. the tiny density deviation from primeval quantum field fluctuation, amplified by gravitational instability. Ketan Maheshwari. , Alex Rodriguez, David Kelly, Ravi . Madduri. , Justin Wozniak, Michael Wilde, Ian Foster. Argonne National Laboratory & University of Chicago. Overview. Introduce the Galaxy and Swift systems. Prof. Gerhardt R Meurer. Galaxy evolution in a nutshell. Galaxy Evolution. 2. Time machines. The farther we peer. The farther back in time we see. Reveal cosmic history. Hubble: to < 1 . Gyr. after big bang. megaparsecs. away be moving with respect to us, according to Hubble’s Law? Hint: H. 0. = 70 km/s/. Mpc. 1,400 km/s. 14,000 km/s. 140,000 km/s. 140 km/s. How fast would a galaxy 2,000 . megaparsecs. Contains more than 100 billion stars. Is one of the two largest among 40 galaxies in the Local Group. Our Solar System is located a little more than half way from the galactic center to the edge of the galactic disk.. March 2015 Cascade. Course Outline. Pending Items Due Next Week. Pricing. Plans. EPC Codes. Queue Name for MYBSS Assignment*. Hooq. Free Content EPC Tagging – available March 24 x 25. Globe Online Portal screenshots (Alpha One) – to be uploaded in KMS. March 2015 Cascade. Course Outline. Pending Items Due Next Week. Pricing. Plans. EPC Codes. Queue Name for MYBSS Assignment*. Hooq. Free Content EPC Tagging – available March 24 x 25. Globe Online Portal screenshots (Alpha One) – to be uploaded in KMS. Freek de Bruijn. Scientific programmer. NBIC. About NBIC and me. NBIC: is . the. Dutch network of bioinformatics experts. NBIC: active in research, education and support. NBIC: collaboration of 100+ bioinformatics scientists and 50+ programmers. ChIP-Seq. Processing Tools for . modENCODE. and ENCODE Data. Quang M Trinh. Ontario Institute for Cancer Research. qtrinh@oicr.on.ca. Outline. M. odel . O. rganism . ENC. yclopedia. . O. f . D. NA . genomics data. Hardison. Genomics6_1. 2/24/15. 1. Galaxy for analyzing genome data. https. ://. usegalaxy.org. 2/24/15. 2. Two faces of Galaxy. A web site where you can easily perform complex analyses integrating various data sources and computational tools. Condor. Batch scheduler. Similar to PBS, SGE. Manages a cluster of machines that can run Galaxy tasks. Well-suited to widely-distributed systems and sharing resources between groups. James Thomson Lab. Jason Gill. Department of Animal Science. Center for Phage Technology. Texas A&M University. Why phages?. Phages are the . most abundant. . organisms on Earth, about 10. 31. in total. Recent interest as therapeutics and for their role in natural environments. Platform . for . Large. -scale . Genomics Analysis. Tin-Lap, LEE. School of Biomedical Sciences, . CUHK-BGI . Innovation Institute of Trans-. omics. , . The . Chinese University of Hong Kong, . Hong . dissemination, organization and analysis. Peter Li. GigaScience. peter@gigasciencejournal.com. www.gigasciencejournal.com. Journal and database for. l. arge-scale data. . . Editor-in-Chief. : Laurie .
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