Abstract <p>Radiation from rotational transitions of CO molecules in distant galaxies creates a chaotic background with an intensity reaching 1000 Jy/sr at a wavelength of approximately 1 mm. This background will pose a serious problem, when measuring spectral distortions of the cosmic microwave background, in particular, the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\mu \)</EquationSource> <!--AstEng2670026Malinovskii-m1--> </InlineEquation>-distortion, which presumably has an intensity of less than 10 Jy/sr. We created a background model for observations with the Millimetron telescope with the mirror diameter of 10 m and a Fourier spectrometer with the channel width of 15 GHz. We analyzed one of the line removal methods using the CLEAN algorithm well-known in radio astronomy. The CO line background in the modeled observations was reduced by a factor of 10, i.e. to less than 100 Jy/sr. Reducing the width of the spectral channels in the observations will improve this result.</p>

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On a Possible Method for Separating CO Lines from the Spectrum of the Cosmic Microwave Background

  • A. M. Malinovsky,
  • S. V. Pilipenko,
  • A. O. Mikhalchenko,
  • D. I. Novikov,
  • A. M. Osipova,
  • K. O. Parfenov

摘要

Abstract

Radiation from rotational transitions of CO molecules in distant galaxies creates a chaotic background with an intensity reaching 1000 Jy/sr at a wavelength of approximately 1 mm. This background will pose a serious problem, when measuring spectral distortions of the cosmic microwave background, in particular, the \(\mu \) -distortion, which presumably has an intensity of less than 10 Jy/sr. We created a background model for observations with the Millimetron telescope with the mirror diameter of 10 m and a Fourier spectrometer with the channel width of 15 GHz. We analyzed one of the line removal methods using the CLEAN algorithm well-known in radio astronomy. The CO line background in the modeled observations was reduced by a factor of 10, i.e. to less than 100 Jy/sr. Reducing the width of the spectral channels in the observations will improve this result.