| dc.description.abstract | In the very beginning stages of the universe, stars and galaxies began to form in their neutral intergalactic medium (IGM) of Hydrogen. Because these galaxies are clouded in their IGM, Lyman-alpha emission lines are absorbed and obscured as a result. But with the 3D Hubble Space Telescope Survey (3D-HST Survey), we can use its large photometric selection of approximately 100,000 galaxies and low resolution grism slit-less spectroscopy to probe these distant galaxies. The survey allows us to take near-infrared spectra of many objects simultaneously, generating the deep data needed to find a selection of high redshift candidates. A novel method is introduced to detect and quantify faint emission lines by using Bayesian techniques. Previous work was done to systematically analyze the 100,000 galaxies, and a preliminary set of 29 promising candidates were presented. In order to remove false positives from this selection, we validated the input photometry through an updated version of EAZY, and compared with the image cutouts of each of these objects, along with the previously obtained grism redshifts. Of the preliminary 29 galaxies, 22 were promising candidates and 7 were removed as false positives. Further analysis and spectroscopic confirmation are needed to fully vet this method for future grism based missions. | en |
