Design of the iLocater acquisition camera demonstration system

Andrew Bechter, Jonathan Crass, Ryan Ketterer, Justin R. Crepp, David King, Bo Zhao, Robert Reynolds, Phil Hinz, Jack Brooks, Eric Bechter

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

6 Scopus citations


Existing planet-finding spectrometers are limited by systematic errors that result from their seeing-limited design. Of particular concern is the use of multi-mode fibers (MMFs), which introduce modal noise and accept significant amounts of background radiation from the sky. We present the design of a single-mode fiber-based acquisition camera for a diffraction-limited spectrometer named œiLocater." By using the œextreme" adaptive optics (AO) system of the Large Binocular Telescope (LBT), iLocater will overcome the limitations that prevent Doppler instruments from reaching their full potential, allowing precise radial velocity (RV) measurements of terrestrial planets around nearby bright stars. The instrument presented in this paper, which we refer to as the acquisition camera "demonstration system," will measure on-sky single-mode fiber (SMF) coupling efficiency using one of the 8.4m primaries of the LBT in fall 2015.

Original languageEnglish (US)
Title of host publicationTechniques and Instrumentation for Detection of Exoplanets VII
EditorsStuart Shaklan
ISBN (Electronic)9781628417715
StatePublished - 2015
EventTechniques and Instrumentation for Detection of Exoplanets VII - San Diego, United States
Duration: Aug 10 2015Aug 13 2015

Publication series

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


OtherTechniques and Instrumentation for Detection of Exoplanets VII
Country/TerritoryUnited States
CitySan Diego


  • Adaptive optics
  • Exoplanet
  • Infrared
  • Modal noise
  • Precision radial velocity
  • Single-mode fiber

ASJC Scopus subject areas

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


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