| Name: | Chandra Shekhar Murmu |
| Affiliation: | Indian Institute of Technology Indore |
| Conference ID : | ASI2023_243 |
| Title : | Probing the Epoch of Reionization with multi-tracer line-intensity mapping |
| Authors : | Chandra Shekhar Murmu, Karen P. Olsen, Thomas R. Greve, Suman Majumdar, Kanan K. Datta, Bryan R. Scott, T. K. Daisy Leung, Romeel Dave, Gergo Popping, Raul Ortega Ochoa, David Vizgan, Desika Narayanan |
| Mode of Presentation: | Oral |
| Abstract Category : | General Relativity and Cosmology |
| Abstract : | The Epoch of Reionization (EoR) and the role of early galaxies in reionization are still poorly probed and understood. Line-intensity mapping (LIM) has emerged as a potential tool to perform large-volume surveys, which is otherwise expensive with point-source surveys, such as ALMA and JWST. It will help constrain the galaxy's properties and its evolution with cosmic time by detecting line emissions, such as the [C II]158?m, CO, Ly-a, and [O III]88?m, to name a few. One of the essential observables with LIM surveys is the sky fluctuations of the signal intensity of these line emissions, from which we can estimate statistics like the power spectrum. It can help constrain the astrophysical properties and the distribution of these ionizing sources. Due to various astrophysical properties, there is scatter in the line luminosity of these galaxies with respect to their host halo mass. It will enhance the power spectrum as compared to when modeled with a one-to-one luminosity-halo mass correlation fit. Here, we have considered realistic scatter from cosmological hydrodynamic simulation SIMBA. We tested model frameworks that can interpret the impact of scatter on the power spectrum. We find that the mean correlation fit cannot preserve the mean intensity under non-uniform scatter (and hence the clustering power spectrum). When we model with the most-probable fit, the mean intensity and power spectrum change can be robustly interpreted under non-uniform scatter. Therefore, we should adopt appropriate approaches to interpret the LIM power spectrum from future observations. Similarly, we study the impact of scatter on the EoR [H I]21cm signal bispectrum. Our initial analysis suggests that the bispectrum might be able to probe the additional non-gaussian signatures introduced by the scatter in the signal. However, this needs to be studied for more redshifts across various neutral fraction stages. |
