A synthetic Roman Space Telescope High-Latitude Time-Domain Survey: supernovae in the deep field

ABSTRACT NASA will launch the Nancy Grace Roman Space Telescope (hereafter Roman) in the second half of this decade, which will allow for a generation-defining measurement of dark energy through multiple probes, including Type Ia supernovae (SNe Ia). To improve decisions on survey strategy, we have...

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Veröffentlicht in:Monthly notices of the Royal Astronomical Society 2023-06, Vol.523 (3), p.3874-3884
Hauptverfasser: Wang, Kevin X, Scolnic, Dan, Troxel, M A, Rodney, Steven A, Popovic, Brodie, Duff, Caleb, Filippenko, Alexei V, Foley, Ryan J, Hounsell, Rebekah, Jha, Saurabh W, Jones, David O, Joshi, Bhavin A, Long, Heyang, Macias, Phillip, Riess, Adam G, Rose, Benjamin M, Yamamoto, Masaya
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Sprache:eng
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Zusammenfassung:ABSTRACT NASA will launch the Nancy Grace Roman Space Telescope (hereafter Roman) in the second half of this decade, which will allow for a generation-defining measurement of dark energy through multiple probes, including Type Ia supernovae (SNe Ia). To improve decisions on survey strategy, we have created the first simulations of realistic Roman images that include artificial SNe Ia injected as point sources in the images. Our analysis combines work done on Roman simulations for weak gravitational lensing studies as well as catalogue-level simulations of SN Ia samples. We have created a time series of images over 2 yr containing ∼1050 SNe Ia, covering a 1 deg2 subarea of a planned 5 deg2 deep survey. We have released these images publicly for community use along with input catalogues of all injected sources. We create secondary products from these images by generating coadded images and demonstrating recovery of transient sources using image subtraction. We perform first-use analyses on these images in order to measure galaxy detection efficiency, point source detection efficiency, and host-galaxy association biases. The simulated images can be found here at https://roman.ipac.caltech.edu/sims/SN_Survey_Image_sim.html.
ISSN:0035-8711
1365-2966
DOI:10.1093/mnras/stad1652