APS Logo

Reducing Information Loss due to Atmospheric Noise using Cross-linking with TIME

POSTER

Abstract

The Tomographic Ionized-carbon Mapping Experiment (TIME) is a mm-wavelength imaging spectrometer employing a curved diffraction grating and transition edge sensor bolometers. It is optically coupled to the 12m ALMA prototype antenna at the Arizona Radio Observatory, where the geometry of the diffraction grating generates a 13.6 X 0.43 arcminute linear beam pattern. TIME's primary scientific goal is to produce tomographic intensity maps of singly ionized carbon at 5 < z < 10; the power spectrum of these measurements can then be used to infer statistical properties of the spatial distribution of galaxies and the cosmic star formation rate in the early universe. Simultaneously, TIME will be used to construct tomographic intensity maps of carbon monoxide during cosmic noon, which can be used to measure the density of molecular gas at the peak of star formation. TIME can also observe faint and diffuse signals such as the kinetic Sunyaev-Zeldovich effect and the emission from molecules in star forming regions. In the winter of 2021 TIME was commissioned at the Arizona Radio Observatory where observations of the Orion Molecular Cloud and Sagittarius A* were taken with multiple observing strategies. This poster presents an analysis of these data showing that a fourier decomposition of these different scan patterns can be used to reduce atmospheric contamination.

Publication: Reducing Atmospheric Noise in TIME Commissioning Observations of Sag A* and OMC through Fourier Decomposition of Different Scan Patterns, planned

Presenters

  • Benjamin Vaughan

    Cornell University

Authors

  • Benjamin Vaughan

    Cornell University

  • Victoria Butler

    Cornell University

  • Dongwoo Chung

    University of Toronto, Canadian Institute for Theoretical Astrophysics

  • Abigail Crites

    Cornell University

  • Audrey Dunn

    Rochester Institute of Technology

  • Fiona Hufford

    Rochester Institute of Technology

  • Kenny Lau

    Caltech

  • Michael Zemcov

    Rochester Institute of Technology, Jet Propulsion Laboratory