%0 Generic %1 masribas2022limfast %A Mas-Ribas, Lluís %A Sun, Guochao %A Chang, Tzu-Ching %A Gonzalez, Michael O. %A Mebane, Richard H. %D 2022 %K library %T LIMFAST. I. A Semi-Numerical Tool for Line Intensity Mapping %U http://arxiv.org/abs/2206.14185 %X We present LIMFAST, a semi-numerical code for computing the progress of reionization and line intensity mapping signals self-consistently, over large cosmological volumes and in short computational times. LIMFAST builds upon and extends the 21cmFAST code by implementing modern galaxy formation and evolution models. Furthermore, LIMFAST makes use of precomputed stellar population synthesis and photoionization results to obtain ensemble ionizing and line emission fields on large scales that vary with redshift, following the evolution of galaxy properties. We show LIMFAST calculations for the redshift evolution of the cosmic star formation rate, hydrogen neutral fraction, and metallicity in galaxies during reionization, which agree with current observational constraints. We also display the average signal with redshift, as well as the auto-power spectra at various redshifts, for the 21 cm line, the Ly$\alpha$ intergalactic and background emission, and the Ly$\alpha$, H$\alpha$, H$\beta$, OII $3727$A, and OIII $5007$A line emission from star formation. Overall, the LIMFAST results agree with calculations from other intensity mapping models, especially with those that account for the contribution of small halos during reionization. We further discuss the impact of considering redshift-space distortions, the use of local luminosity and star formation relations, and the dependence of line emission on the ionization parameter value. LIMFAST aims at being a resourceful tool for a broad range of intensity mapping studies, enabling the exploration of a variety of galaxy evolution and reionization scenarios and frequencies over large volumes in a short time scale.

@misc{masribas2022limfast, abstract = {We present LIMFAST, a semi-numerical code for computing the progress of reionization and line intensity mapping signals self-consistently, over large cosmological volumes and in short computational times. LIMFAST builds upon and extends the 21cmFAST code by implementing modern galaxy formation and evolution models. Furthermore, LIMFAST makes use of precomputed stellar population synthesis and photoionization results to obtain ensemble ionizing and line emission fields on large scales that vary with redshift, following the evolution of galaxy properties. We show LIMFAST calculations for the redshift evolution of the cosmic star formation rate, hydrogen neutral fraction, and metallicity in galaxies during reionization, which agree with current observational constraints. We also display the average signal with redshift, as well as the auto-power spectra at various redshifts, for the 21 cm line, the Ly$\alpha$ intergalactic and background emission, and the Ly$\alpha$, H$\alpha$, H$\beta$, [OII] $3727$\r{A}, and [OIII] $5007$\r{A} line emission from star formation. Overall, the LIMFAST results agree with calculations from other intensity mapping models, especially with those that account for the contribution of small halos during reionization. We further discuss the impact of considering redshift-space distortions, the use of local luminosity and star formation relations, and the dependence of line emission on the ionization parameter value. LIMFAST aims at being a resourceful tool for a broad range of intensity mapping studies, enabling the exploration of a variety of galaxy evolution and reionization scenarios and frequencies over large volumes in a short time scale.}, added-at = {2022-06-29T11:30:48.000+0200}, author = {Mas-Ribas, Lluís and Sun, Guochao and Chang, Tzu-Ching and Gonzalez, Michael O. and Mebane, Richard H.}, biburl = {https://www.bibsonomy.org/bibtex/2d76ce3a0910741ff03138c1830f57515/gpkulkarni}, description = {LIMFAST. I. A Semi-Numerical Tool for Line Intensity Mapping}, interhash = {a95578645e742dd3bd94d9d3dae09c38}, intrahash = {d76ce3a0910741ff03138c1830f57515}, keywords = {library}, note = {cite arxiv:2206.14185Comment: 24 pages, 11 figures, submitted to ApJ}, timestamp = {2022-06-29T11:30:48.000+0200}, title = {LIMFAST. I. A Semi-Numerical Tool for Line Intensity Mapping}, url = {http://arxiv.org/abs/2206.14185}, year = 2022 }