The Off-plane Grating Rocket Experiment (OGRE) system overview

James H. Tutt, Randall L. McEntaffer, Benjamin Donovan, Ted B. Schultz, Michael P. Biskach, Kai Wing Chan, John D. Kearney, James R. Mazzarella, Ryan S. McClelland, Raul E. Riveros, Timo T. Saha, Michal Hlinka, William W. Zhang, Matthew R. Soman, Andrew D. Holland, Matthew R. Lewis, Karen Holland, Neil J. Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

The Off-plane Grating Rocket Experiment (OGRE) is a sub-orbital rocket payload that will make the highest spectral resolution astronomical observation of the soft X-ray Universe to date. Capella, OGRE's science target, has a well-defined line emission spectrum and is frequently used as a calibration source for X-ray observatories such as Chandra. This makes Capella an excellent target to test the technologies on OGRE, many of which have not previously flown. Through the use of state-of-the-art X-ray optics, co-aligned arrays of off-plane reflection gratings, and an X-ray camera based around four Electron Multiplying CCDs, OGRE will act as a proving ground for next generation X-ray spectrometers.

Original languageEnglish (US)
Title of host publicationSpace Telescopes and Instrumentation 2018
Subtitle of host publicationUltraviolet to Gamma Ray
EditorsShouleh Nikzad, Jan-Willem A. Den Herder, Kazuhiro Nakazawa
PublisherSPIE
ISBN (Print)9781510619517
DOIs
StatePublished - 2018
EventSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray - Austin, United States
Duration: Jun 10 2018Jun 15 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10699
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSpace Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
Country/TerritoryUnited States
CityAustin
Period6/10/186/15/18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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