PPT-Galaxy feedback in 3D

Roberto Maiolino Feedback is the key reducing SF efficiency gas heatingturbulence removing baryons Discrepancy between halo mass functions and stellarbaryons mass function. Formation and cosmic evolution of massive black holes. Andrea Merloni. MPE, Garching. Syllabus. Monday:. Observational evidence of Supermassive Black Holes. AGN surveys. Tuesday: . The evolution of SMBH mass function and spin distributions. Confronting Stellar Feedback . Simulations with Observations of Hot Gas in Elliptical Galaxies . Q. Daniel . Wang, . Shikui. Tang, Yu Lu, . Houjun. Mo . (UMass) . Mordecai . Mac-Low (AMNH. ), Ryan . Harry Ferguson (STScI). Feedback. Behroozi. + 2011. Halo quenching. Quasar mode AGN. Radio Mode AGN. (. SNe. ). SNe. Satellites: Ram pressure, tides, shocks…. UV back-ground. AGN feedback in . SAMs. 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. galaxy group, Stephan 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.. Here’s the mystery story we’ll unfold…. Fuzzy blobs in the sky – new solar systems, or “galaxies”?. Observational tests. Herschel’s map of the “universe” . (what we today know as just our Galaxy). M82 – Cigar Galaxy. ASTR 2401. Goal. Target selection. Object information. Data collection. Image calibration. Processing. Mosaicing. Perils of Astrophotography. Final image. References. Goal. To capture color images of an object or objects that required mosaic work to form the final image. . in . simulations. of . galaxy. . formation. G. Murante – INAF . OATo. P. Monaco – . Univ. . . Ts. M. Calabrese – SISSA . Ts. G. De Lucia - INAF . OATs. S. . Borgani. – . Univ. . . Ts. K. . 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. Amy Kimball. NRAO Charlottesville (. NAASC. ). Why is quasar “feedback” important for galaxy formation. . (and what are the two feedback modes)?. How to identify candidate “most extreme feedback” objects. docker. for estimation of Expression profiling in RNA-. seq. SPEAKER. :. . Ping-. Heng. Hsieh. DATE:. . 2020/03/30. Outline. Introduction . to . Docexpress. Walkthrough – . Estimate Expression .