4.7 Article

Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era

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ASTROPHYSICAL JOURNAL
卷 944, 期 2, 页码 -

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IOP Publishing Ltd
DOI: 10.3847/1538-4357/acb057

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We conducted a cosmology analysis on simulated Type Ia supernovae (SNe Ia) to evaluate the improvement by including photometric host galaxy redshifts compared to spectroscopic redshifts. The analysis included light-curve fitting, simulation for bias correction, and cosmology fitting. Including events with SN+host photo-z resulted in more precise distances, extended redshift range in the Hubble diagram, and increased figure of merit for dark energy. The average bias on cosmological parameters was consistent with zero.
We perform a rigorous cosmology analysis on simulated Type Ia supernovae (SNe Ia) and evaluate the improvement from including photometric host galaxy redshifts compared to using only the z (spec) subset with spectroscopic redshifts from the host or SN. We use the Deep Drilling Fields (similar to 50 deg(2)) from the Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC) in combination with a low-z sample based on Data Challenge2. The analysis includes light-curve fitting to standardize the SN brightness, a high-statistics simulation to obtain a bias-corrected Hubble diagram, a statistical+systematics covariance matrix including calibration and photo-z uncertainties, and cosmology fitting with a prior from the cosmic microwave background. Compared to using the z (spec) subset, including events with SN+host photo-z results in (i) more precise distances for z > 0.5, (ii) a Hubble diagram that extends 0.3 further in redshift, and (iii) a 50% increase in the Dark Energy Task Force figure of merit (FoM) based on the w (0) w a CDM model. Analyzing 25 simulated data samples, the average bias on w (0) and w ( a ) is consistent with zero. The host photo-z systematic of 0.01 reduces FoM by only 2% because (i) most z < 0.5 events are in the z (spec) subset, (ii) the combined SN+host photo-z has x2 smaller bias, and (iii) the anticorrelation between fitted redshift and color self-corrects distance errors. To prepare for analyzing real data, the next SN Ia cosmology analysis with photo-zs should include non-SN Ia contamination and host galaxy misassociations.

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