Mission Overview
Roman Strongly Lensed Supernova Simulations
Primary Investigator: Justin Pierel
HLSP Authors: Justin Pierel, Steven Rodney, Giorgos Vernardos, Masamune Oguri, Richard Kessler, Timo Anguita
Released: 2022-06-29
Updated: 2022-06-29
Primary Reference(s): Pierel et al. 2021
Citations: See ADS Statistics
Slideshow
Simulated, Lensed SNIa
Left panel: Simulated lensed SN Ia with macro-lensing parameters applied. Upper right panel: Simulated lensed SN from left panel, now with microlensing applied from Section 3.2 of Pierel et al. 2021. Lower right panel: The microlensing curve applied to image 1 (black), and image 2 (red), in magnitudes. In both light curve plots, the solid green curve denotes the underlying (un-lensed) model used to create the simulation before the application of microlensing.
Rubin Highz Lens Catalog Compared To RSLSS Catalog
Comparison of properties between the Oguri & Marshall 2010 Vera C. Rubin Observatory LSST mock lens catalog and the Highz lens catalog created in this work for the Roman Space Telescope. We use 1000 random lenses from each catalog for comparison, though the actual projected yields for Rubin are much higher than for Roman (Goldstein et al. 2019; Huber et al. 2019). In both figures, Rubin data are shown in blue and Roman data are shown in red. (Left) The maximum time delay for each mock vs. the maximum separation between multiple images of the source in arcseconds. The grey dashed line represents the likely point spread function (PSF) full width at half maximum (FWHM) for Rubin; images are “resolved” when their separation is ≥ 2/3 θP SF . (Right) The source redshift vs. the lens redshift for each lensing system. The Rubin mock lens catalog uses a 23.3 mag (i-Band) detection threshold, while we use 26.2 mag (H-Band) for Roman (see Table 1 of Pierel et al. 2021).
Overview
Using anticipated characteristics of the Roman Space Telescope Type Ia supernova (SN Ia) survey, the team has constructed mock catalogs of expected resolved lensing systems and strongly lensed Type Ia and core-collapse (CC) SN light curves, including microlensing effects. The data products include mock catalogs for four Roman SN Ia survey variants and the High Latitude Survey (HLS), as well as 2.4 million simulated light curves (600k for each of 4 SN classes: Ia, Ibc, IIn, IIP) based on the Hounsell et al. 2018 "Allz" strategy. These products were used to predict that Roman will find ~11 lensed SNIa and ~20 CCSN for the fiducial SN Ia surveys, with a time delay precision of ~2 and 3 days (measured with the SNTD package: https://sntd.readthedocs.io/), respectively. The predicted parameters were then used to construct Fisher matrices, also included, and derive projected constraints on cosmological parameters for each SN Ia survey strategy.
Data Products
Simulated light curves and tables of fit parameters are grouped and named with the following convention:
hlsp_rslss_roman_wfi_multiple_wfc_v1_sim-<sn_type>-<file_type>.<ext>
where:
- <sn_type> is the type of supernova (e.g., Ia = "sn-ia", Ib/c = "sn-ibc", IIn = "sn-iin", IIP = "sn-iip").
- <file_type> is the file type ("lcs" for light curves, "fitparameters" for fit parameters).
- <ext> is the extension (".tar.gz" for light curves, ".fits" for fit parameters).
Mock catalogs of lensing systems are named with the following convention:
hlsp_rslss_roman_wfi_multiple_wfc_v1_sim-<strategy>-mocks.txt
where
- <strategy> is the Roman survey strategy, one of "allz", "highz", "lowz", "hls", or "ultradeep".
Fisher matrices constructed from the predicted parameters are named with the following convention:
hlsp_rslss_roman_wfi_multiple_wfc_v1_sim-<strategy>-<cosmology>-fisher.csv
where
- <strategy> is the Roman survey strategy, one of "allz", "highz", "lowz", "hls", or "ultradeep".
- <cosmology> is the assumed cosmology, either "flatwcdm" or "flatw0wacdm".
Data file types:
| lcs.tar.gz | Bundles of simulated light curves |
| fitparameters.fits |
Tables of fit information for the simulated light curves |
| mocks.txt | Mock catalogs of lensing systems |
| fisher.csv | Fisher matrices based on predicted parameters |
Data Access
| Simulated Lightcurves by Supernova Type | |||||
|---|---|---|---|---|---|
| Supernova Type | Lightcurves File Size | ||||
| SN Ia | Fit Parameters | Lightcurves | 8.7 GB | ||
| SN Ib/c | Fit Parameters | Lightcurves | 7.7 GB | ||
| SN IIn | Fit Parameters | Lightcurves | 7.9 GB | ||
| SN IIP | Fit Parameters | Lightcurves | 13 GB | ||
| Mock Catalogs and Fisher Matrices by Roman Survey Strategy | |||
|---|---|---|---|
| Strategy | Mock Lens Catalogs | Fisher Matrices | |
| Allz | Mock Lens Catalogs | ||
| Highz | Mock Lens Catalogs | ||
| Lowz | Mock Lens Catalogs | ||
| Ultradeep | Mock Lens Catalogs | ||
| HLS | Mock Lens Catalogs | ||