170408 Spectral Line De-Confusion in an Intensity Mapping Survey

Title:
Spectral Line De-Confusion in an Intensity Mapping Survey

Speaker:
Cheng, Yun-Ting (California Institute of Technology)

Time:
04/08 (Sat.) 15:00 PDT, 16:00 MDT, 17:00 CDT, 18:00 EDT,
04/09 (Sun.) 06:00 Taiwan

Link:
Abstract:
Spectral line intensity mapping has been proposed as a promising tool to efficiently probe the cosmic reionization and the large-scale structure. One particular challenge in the line intensity mapping is to separate the desired signals from the foreground line interlopers. Here we present a technique to extract large-scale structure information traced by emission lines from different redshifts, embedded in a three-dimensional intensity mapping data cube. The line redshifts are distinguished by the anisotropic shape of the power spectra when projected onto a common coordinate frame. We consider a survey like TIME-Pilot, where high-redshift [CII] lines are confused with multiple low-redshift CO rotational lines. We present a semi-analytic model for [CII] and CO line estimates based on the cosmic infrared background measurements, and show that with a modest instrumental noise level and survey geometry, the large-scale [CII] and CO power spectrum amplitudes can be successfully extracted from a confusion-limited data set, without external information.