Speaker
Description
Line intensity mapping (LIM) of molecular lines such as CO and [CII] is emerging as a powerful technique for probing cosmic structure and astrophysical processes, spanning multiple wavelengths but particularly impactful in the mm regime. These tracers provide key insights into galaxy formation, the interstellar medium, and cosmic star formation across a wide range of redshifts, complementing other mm-wave observations such as the thermal and kinetic SZ effects. In this talk, I will present SLICK-LIM, a new model for LIM predictions built using SLICK (the Scalable Line Intensity Computation Kit, https://iopscience.iop.org/article/10.3847/1538-4357/ad642c), which leverages hydrodynamic simulations and machine learning to generate realistic light cones for CO, [CI], and [CII] emission. Applying this framework to the SIMBA, IllustrisTNG, and CAMELS simulations, I will showcase predictions for upcoming LIM experiments, featuring physically-driven luminosity calculations and their implications for multi-wavelength studies. Finally, I will discuss ongoing applications of SLICK to diverse astrophysical problems, from dark CO studies and luminosity profiles to the role of AGN in modifying observed molecular line emission.
| Would you be interested in presenting a poster if the conference is oversubcribed? | Yes |
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