SpectralCubeTools

Python tools for manipulating/analyzing radio spectral cubes.

(Migrated from Sun_Astro_Tools)

Table of content

• spectral_cube_tools.convolve
  • convolve_cube: convolve a spectral cube or an rms noise cube to a specified beam
  • convolve_image: convolve a 2D image or an rms noise image to a specified beam
• spectral_cube_tools.characterize
  • calc_noise_in_cube: estimate rms noise in a (continuum-subtracted) spectral cube
  • calc_channel_corr: estimate the channel-to-channel correlation coefficient
• spectral_cube_tools.identify_signal
  • find_signal_in_cube: identify signal in a spectral cube with S/N-based criteria
  • censoring_function: calculate the shape of the corresponding censoring function

Credits

This package is developed by Jiayi Sun in close collaboration with Adam Leroy.

If you make use of this package (esp. the noise characterization and signal identification tools) in a publication, please consider citing the following papers:

• Sun, Leroy, Schruba, et al., "Cloud-scale Molecular Gas Properties in 15 Nearby Galaxies", 2018, ApJ, 860, 172
• Sun, Leroy, Schinnerer, et al., "Molecular Gas Properties on Cloud Scales Across the Local Star-forming Galaxy Population", 2020, ApJL, 901, L8

Please also consider acknowledgements to astropy, spectral-cube, and the other required packages.