Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147

Ward, Sam M.; Thorp, Stephen; Mandel, Kaisey S.; Dhawan, Suhail; Jones, David O.; Taggart, Kirsty; Foley, Ryan J.; Narayan, Gautham; Chambers, Kenneth C.; Coulter, David A.; Davis, Kyle W.; de Boer, Thomas; de Soto, Kaylee; Earl, Nicholas; Gagliano, Alex; Gao, Hua; Hjorth, Jens; Huber, Mark E.; Izzo, Luca; Langeroodi, Danial; Magnier, Eugene A.; McGill, Peter; Rest, Armin; Rojas-Bravo, César; Wojtak, Radosław; ,

doi:10.3847/1538-4357/acf7bb

Cited by 5 publications

(2 citation statements)

References 100 publications

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“…They posit negligible host-galaxy extinction. Ward et al (2023) fit SN 2021hpr using the BAYESN fitting program (Thorp et al 2021;Mandel et al 2022). They find t B max on MJD 59321.4.…”

Section: A36 Sn 2021fxymentioning

confidence: 99%

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From out of the Blue: Swift Links 2002es-like, 2003fg-like, and Early Time Bump Type Ia Supernovae

Hoogendam,

Shappee,

Brown

et al. 2024

ApJ

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We collect a sample of 42 Type Ia supernovae (SNe Ia) with Swift UV photometry and well-measured early time light-curve rises and find that 2002es-like and 2003fg-like SNe Ia have different prepeak UV color evolutions compared to normal SNe Ia and other spectroscopic subtypes. Specifically, 2002es-like and 2003fg-like SNe Ia are cleanly separated from other SNe Ia subtypes by UVM2 − UVW1 ≳ 1.0 mag at t = − 10 days relative to B-band maximum. Furthermore, the SNe Ia that exhibit nonmonotonic bumps in their rising light curves, to date, consist solely of 2002es-like and 2003fg-like SNe Ia. We also find that SNe Ia with two-component power-law rises are more luminous than SNe Ia with single-component power-law rises at prepeak epochs. Given the similar UV colors, along with other observational similarities, we discuss a possible progenitor scenario that places 2002es-like and 2003fg-like SNe Ia along a continuum and may explain the unique UV colors, early time bumps, and other observational similarities between these objects. Ultimately, further observations of both subtypes, especially in the near-infrared, are critical for constraining models of these peculiar thermonuclear explosions.

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“…They posit negligible host-galaxy extinction. Ward et al (2023) fit SN 2021hpr using the BAYESN fitting program (Thorp et al 2021;Mandel et al 2022). They find t B max on MJD 59321.4.…”

Section: A36 Sn 2021fxymentioning

confidence: 99%

“…For t B max , they find that the light curve peaked on MJD 59321.7. We adopt the values from Ward et al (2023). The Milky Way extinction is E(B − V ) MW = 0.02 mag (Schlafly & Finkbeiner 2011).…”

Section: A36 Sn 2021fxymentioning

confidence: 99%

From out of the Blue: Swift Links 2002es-like, 2003fg-like, and Early Time Bump Type Ia Supernovae

Hoogendam,

Shappee,

Brown

et al. 2024

ApJ

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Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies

Thorp,

Mandel,

Jones

et al. 2024

Monthly Notices of the Royal Astronomical Society

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We use rest-frame optical and near-infrared (NIR) observations of 42 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project at low-z and 37 from the RAISIN Survey at high-z to investigate correlations between SN Ia host galaxy dust, host mass, and redshift. This is the first time the SN Ia host galaxy dust extinction law at high-z has been estimated using combined optical and rest-frame NIR data (YJ-band). We use the BayeSN hierarchical model to leverage the data’s wide rest-frame wavelength range (extending to ∼1.0–1.2 μm for the RAISIN sample at 0.2 ≲ z ≲ 0.6). By contrasting the RAISIN and CSP data, we constrain the population distributions of the host dust RV parameter for both redshift ranges. We place a limit on the difference in population mean RV between RAISIN and CSP of −1.16 < Δμ(RV) < 1.38 with 95% posterior probability. For RAISIN we estimate μ(RV) = 2.58 ± 0.57, and constrain the population standard deviation to σ(RV) < 0.90 [2.42] at the 68 [95]% level. Given that we are only able to constrain the size of the low- to high-z shift in μ(RV) to ≲ 1.4 – which could still propagate to a substantial bias in the equation of state parameter w – these and other recent results motivate continued effort to obtain rest-frame NIR data at low and high redshifts (e.g. using the Roman Space Telescope).

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Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

Grayling,

Thorp,

Mandel

et al. 2024

Monthly Notices of the Royal Astronomical Society

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We apply the hierarchical probabilistic SED model BayeSN to analyse a sample of 475 SNe Ia (0.015 < z < 0.4) from Foundation, DES3YR and PS1MD to investigate the properties of dust in their host galaxies. We jointly infer the dust law RV population distributions at the SED level in high- and low-mass galaxies simultaneously with dust-independent, intrinsic differences. We find an intrinsic mass step of −0.049 ± 0.016 mag, at a significance of 3.1σ, when allowing for a constant intrinsic, achromatic magnitude offset. We additionally apply a model allowing for time- and wavelength-dependent intrinsic differences between SNe Ia in different mass bins, finding ∼2σ differences in magnitude and colour around peak and 4.5σ differences at later times. These intrinsic differences are inferred simultaneously with a difference in population mean RV of ∼2σ significance, demonstrating that both intrinsic and extrinsic differences may play a role in causing the host galaxy mass step. We also consider a model which allows the mean of the RV distribution to linearly evolve with redshift but find no evidence for any evolution - we infer the gradient of this relation ηR = −0.38 ± 0.70. In addition, we discuss in brief a new, GPU-accelerated Python implementation of BayeSN suitable for application to large surveys which is publicly available and can be used for future cosmological analyses; this code can be found here: https://github.com/bayesn/bayesn.

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Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147

Cited by 5 publications

References 100 publications

From out of the Blue: Swift Links 2002es-like, 2003fg-like, and Early Time Bump Type Ia Supernovae

From out of the Blue: Swift Links 2002es-like, 2003fg-like, and Early Time Bump Type Ia Supernovae

Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies

Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

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