Abstract Details
| Name: Chandra Shekhar Murmu Affiliation: Indian Institute of Technology Indore Conference ID: ASI2025_76 Title : Forecasting the CO-21cm cross-correlation signal from the EoR using line-intensity mapping surveys Authors and Co-Authors : Chandra Shekhar Murmu 1, Suman Majumdar 1, Kanan K. Datta 2, Bharat K. Gehlot 3, L. V. E. Koopmans 3, Garrelt Mellema 4 Abstract Type : Poster Abstract Category : Galaxies and Cosmology Abstract : Line-intensity mapping (LIM) is expected to be a promising tool for probing the Epoch of Reionization (EoR) via accumulating cumulative flux of line emissions from galaxies. However, the instrumental noise of the LIM surveys will contaminate the LIM signal and, therefore, the observable summary statistics and degrade the detectability of the LIM signal. One possible method to tackle this is to cross-correlate with a different tracer of the high redshift universe, such as the HI 21cm signal from the neutral IGM. In this work, we forecast the CO-21cm cross-power spectrum from the EoR and its detectability. We consider a HI 21cm survey with AARTFAAC and a CO emission survey by COMAP, with an overlap of 12 deg^2 of the survey area. We use the outputs of a combination of N-body and radiative transfer simulation to obtain the mock 21cm and CO signals. Considering the planned COMAP-pathfinder survey, which will detect the CO(2-1) signal from the EoR and 1200 hours of observation time on AARTFAAC, we find that all four CO emission models considered in the analysis are detectable in cross-correlation, where the model with the weakest signal, is not detectable in auto-correlation. The scenario improves for 2400 hours of observation with AARTFAAC, where the weakest CO emission model is detectable with ~2sigma significance in cross-correlation. For the planned COMAP-EoR survey, set to detect the CO(1-0) signal from the EoR, one might achieve close to 3sigma detection significance for the weakest model. We also considered a broad range of CO emission models and found that compared to the CO auto-power spectrum, the CO-21cm cross-power spectrum can detect a more extensive range of CO models, including weak ones. Therefore, cross-correlation can improve the detection of the LIM signals from the EoR. |