PDF-(READ)-Herschel 400 Observing Guide

The Herschel 400 is a list of 400 galaxies nebulae and star clusters picked from over 2500 deepsky objects discovered and catalogued by the great eighteenthcentury astronomer Sir William Herschel and his sister Caroline It comprises 231 galaxies 107 open clusters 33 globular clusters 20 planetary nebulae 2 halves of a single planetary nebula and 7 bright nebulae In this guide Steve OMeara takes the observer through the list season by season month by month night by night object by object He works through the objects in a carefully planned and methodical way taking in some of the most dramatic nonMessier galaxies nebulae and star clusters in the night sky Ideal for astronomers who have tackled the Messier objects this richly illustrated guide will help the amateur astronomer hone their observing skills. Eva Verdugo . Herschel Archive Scientist at HSC. ALMA/Herschel Archival Workshop . Dust temperatures and densities. Markus Nielbock (. MPIA. ). (Herschel . PACS. ICC). Ralf . Launhardt. , Jürgen . Steinacker. , Amy Stutz, . Zoltan. . Balog. , . Henrik. . Beuther. , . Jeroen. . Systematic Data . Collection Approach. Characteristics of Observation. Prolonged engagement . in a setting or social situation in order to:. become oriented to the situation so that the context is appreciated and understood. Figure of Merit . David . Bennett. University of Notre Dame. WFIRST. WFIRST Microlensing Figure of Merit. Primary FOM1 - # of planets detected for a particular mass and separation range. Cannot be calculated analytically – must be simulated. Dana . Balser. , Jim . Braatz. , Mark Clark, Jim Condon, Ray . Creager. , Mike McCarty, Ron . Maddalena. , Paul . Marganian. , Karen O’Neil, Eric . Sessoms. , Amy Shelton. Nomenclature. Butler. Spitzer/Herschel EG Surveys. Multi-Wavelength Data Fusion. for Spitzer/Herschel EG Surveys. Mattia Vaccari - University of . Padova. mattia@mattiavaccari.net. . www.mattiavaccari.net. Alberto . Franceschini. Steven Ackleson. , Consortium for Ocean . Leadership. Data Assimilation and Modeling; . Bob . Arnone. , University of Southern . Mississippi. Modern Observatory Operations; . Collin . Roesler. , Bowdoin . Dust temperatures and densities. Markus Nielbock (. MPIA. ). (Herschel . PACS. ICC). Ralf . Launhardt. , Jürgen . Steinacker. , Amy Stutz, . Zoltan. . Balog. , . Henrik. . Beuther. , . Jeroen. . The Reasons, the Methodology. , Some Conclusions & Some Concerns. Brian Kelly, UKOLN. Aims. : monitor use of online services in order to identify patterns which can inform policies and practices . Students have a mineral sample that produces a white streak and has crystals with six sides. . Which of these results would tell the students whether the mineral sample is calcite or quartz? . A. The mineral can be scratched by talc.. . . The overall objectives . of WP1 are . to . Review . the high-level requirements and develop the strategy for the Pan Arctic Observing system based . on present initiatives. (. i. ). . Plan . and coordinate the INTAROS activities in agreement with AOS recommendations and stakeholder requirements, . Herschel. Era. Jason K. . Chu (jasonchu@. ifa.hawaii.edu). Institute for Astronomy, University of Hawai`i. Collaborators: David Sanders (. IfA. ). , Kirsten Larson . (Caltech/IPAC), Joe . Mazzarella. (ROADS): . A Call to Contribute through AOS. Sandy Starkweather. Executive Director – US Arctic Observing Network (US AON). Chair – Sustaining Arctic Observing Networks (SAON). Arctic Observing Summit, 2020. Cristina Thomas (Northern Arizona University). Andy Rivkin (JHU-APL). & the Observing Working Group. Level 1. WG Objective. WG Task. 3. Determine . Didymos. system properties. 2019 , 2020-2021 observations.