'Mid ir' diaporamas de présentation

Infrared Astronomy in the heat of the night

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Massive Young Stars in the Galaxy

Massive Young Stars in the Galaxy. Melvin Hoare University of Leeds UK. Outline. Introduction Massive YSOs High resolution observations The RMS Survey Galaxy-wide survey for massive YSOs Next generation galactic plane surveys UKIDSS GPS, SCUBA2, CORNISH Conclusions.

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Compact ERL-FEL/Pulse Stacker Cavity configurations:

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Outline - main energy-generating mechanisms in galaxies: BH accretion and Star Formation

sPitzer spectra of seyfert galaxies: Luigi Spinoglio, IFSI-INAF, Roma + Silvia Tommasin (IFSI), Matt Malkan (UCLA), Giovanni Fazio ( CfA ). Outline - main energy-generating mechanisms in galaxies: BH accretion and Star Formation

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Francisco Javier Castander Serentill

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Star Formation in the Milky Way and its Neighbors in the Mid-IR

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The AGN and Galaxy Evolution Survey (AGES)

The AGN and Galaxy Evolution Survey (AGES). Daniel Eisenstein University of Arizona. AGES is a redshift survey of the 9 deg 2 NOAO Deep Wide-Field Survey Bootes field. I c <20 for galaxies (roughly i <20.5). I c <21.5 for AGN (going to 22.5 this spring). 20,000 redshifts.

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The Magellan f/15 Secondary Science Case

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Observing Molecules in the EoR

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The Far-Infrared Frontier of Terrestrial Remote Sensing

The Far-Infrared Frontier of Terrestrial Remote Sensing. GPS Planetary Science Seminar October 16, 2007 Daniel Feldman, Yuk Yung (Caltech) Kuo -Nan Liou (UCLA) Marty Mlynczak , Dave Johnson ( LaRC ). Presentation Outline. Motivation for studying the far-infrared

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SgrA* in the Mid-IR

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AGU Fall Meeting, Wednesday, December 12, 2007 GC34A-02 D.R. Feldman (Caltech);

Determination of atmospheric temperature, water vapor, and heating rates from mid- and far- infrared hyperspectral measurements. AGU Fall Meeting, Wednesday, December 12, 2007 GC34A-02 D.R. Feldman (Caltech); K.N. Liou (UCLA); Y.L. Yung (Caltech);

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AGU Fall Meeting, Wednesday, December 12, 2007 GC34A-02 D.R. Feldman (Caltech);

Determination of atmospheric temperature, water vapor, and heating rates from mid- and far- infrared hyperspectral measurements. AGU Fall Meeting, Wednesday, December 12, 2007 GC34A-02 D.R. Feldman (Caltech); K.N. Liou (UCLA); Y.L. Yung (Caltech);

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Takaya Nozawa (IPMU, Univ. of Tokyo) Masaomi Tanaka, Keiichi Maeda (IPMU)

2010/12/16. Properties of interstellar and circumstellar dust as probed by mid-IR spectroscopy of supernova remnants ( 超新星残骸の中間赤外分光から探る星間・星周ダスト ). Takaya Nozawa (IPMU, Univ. of Tokyo) Masaomi Tanaka, Keiichi Maeda (IPMU) Itsuki Sakon (Univ. of Tokyo).

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Infra-red Thermography

Infra-red Thermography. Alex Gibson. CEE398Kuc University of Illinois at Urbana-Champaign March 2002 . Outline. Basic Physical Principles Applications Equipment References. Theoretical Basis. Thermal Imaging: Measurement and mapping of infrared energy emitted by the target .

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Global Mid IR Sensors Market Analysis and Forecast (2013-201

Mid IR Sensors: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019: Order report by calling ReportsnReports.com at 1 888 391 5441 OR send an email on sales@reportsandreports.com with (Mid IR Sensors Market) / report name in subject line and your contact details.Mid IR sensor markets at $789 million in 2012 are anticipated to reach $7 billion by 2019 as price performance increases and unit costs decrease from $3,000 per unit to $300 and even to $8 or less per unit on average drive further interest from commercial buyers. The decrease in size of units from bench size devices to portable units makes them more useful across the board in every industry.

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II . Short-Mid IR

II . Short-Mid IR. The telluric methane and water lines are almost completely absent and transmission exceeds 70% within the CO 2 band. Considerably lower downwelling radiance than at lower altitudes, enabling longer observing for dim objects. .

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Altitude resolved mid-IR transmission of H 2 O, CH 4 and CO 2 at Mauna Loa

Alumni. 2010. Introduction

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Discovering and Characterizing Open Clusters with the GLIMPSE-360 Survey Karen Hamm

Discovering and Characterizing Open Clusters with the GLIMPSE-360 Survey Karen Hamm University of Virginia, Charlottesville, VA, USA. Introduction. Cluster Classifications. Results.

104 views • 1 slides