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arxiv: 2606.19429 · v1 · pith:56HCFPUFnew · submitted 2026-06-17 · 🌌 astro-ph.CO · astro-ph.IM

BayeSN times Dovekie: Joint Photometric Cross-calibration and SED Modelling of Type Ia Supernovae

M. Grayling , B. Popovic , M. Ginolin , A. Do , K. S. Mandel This is my paper

Pith reviewed 2026-06-26 19:48 UTC · model grok-4.3

classification 🌌 astro-ph.CO astro-ph.IM
keywords Type Ia supernovaeSED modelingphotometric cross-calibrationBayeSNDES-SN5YRdistance measurementscosmology
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The pith

A framework that folds photometric cross-calibration into BayeSN SED training produces the G26 model and lowers scatter by 12 percent on DES supernovae.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces a framework that allows the BayeSN hierarchical Bayesian SED model to jointly fit for cross-calibration offsets in filter wavelengths and zero-points while training on supernova data. This approach uses supernovae themselves to provide additional constraints beyond traditional stellar calibrations. Applied to a large training sample that includes high-redshift objects, the resulting G26 model is tested on the DES-SN5YR dataset of Type Ia supernovae at redshifts below 0.7. It reduces the normalized median absolute deviation scatter from 0.185 to 0.164 magnitudes compared to the SALT3 model with Dovekie calibration, without applying bias corrections. The work also derives constraints on those calibration offsets using Dovekie priors as input.

Core claim

The central claim is that parametrizing filter wavelength and zero-point offsets inside the SN SED model training supplies valid additional constraints on cross-calibration, independent of the stellar-based Dovekie pipeline; when this framework is used to train the G26 BayeSN model on an order-of-magnitude larger sample that incorporates high-redshift SNe Ia, the model yields a 12 percent reduction in σ_NMAD scatter (0.164 mag versus 0.185 mag) on the DES-SN5YR sample of likely SNe Ia at z < 0.7, without bias corrections.

What carries the argument

The parametrization of filter wavelength and zero-point offsets inside the SN SED model training, which supplies additional constraints from SNe Ia during hierarchical Bayesian fitting.

If this is right

  • The G26 model supplies tighter distance estimates for cosmological analyses that use BayeSN.
  • Cross-calibration wavelength and zero-point shifts can be constrained jointly from SNe Ia and the Dovekie stellar pipeline.
  • High-redshift SNe Ia can be leveraged directly in future BayeSN training runs.
  • The public BayeSN code now includes the G26 model for end-to-end cosmological work.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Surveys that observe the same supernovae with multiple instruments could obtain consistent photometry without running separate stellar-calibration pipelines first.
  • The approach may reduce the size of systematic error budgets that currently limit constraints on dark energy from Type Ia supernovae.
  • If the SN-derived offsets remain stable across different training samples, the method could be applied to next-generation surveys that will discover far more high-redshift events.

Load-bearing premise

The parametrization of filter wavelength and zero-point offsets inside the SN SED model training supplies valid additional constraints on cross-calibration that are independent of the stellar-based Dovekie pipeline and do not introduce new biases into the distance measurements.

What would settle it

Repeating the distance measurement comparison on the same DES-SN5YR sample after deliberately omitting the SN-derived offset parameters from the training would test whether the 12 percent scatter reduction disappears.

Figures

Figures reproduced from arXiv: 2606.19429 by A. Do, B. Popovic, K. S. Mandel, M. Ginolin, M. Grayling.

Figure 1
Figure 1. Figure 1: The redshift distribution for the G26 training set (grey) and the T21 training set (blue). We highlight the 𝑧 = 0.08 cut where we relax our distance priors (see Section 2.3). a normalisation constant3 . 𝑊0 (𝑡, 𝜆𝑟 ) is a warping term that adjusts and normalises the Hsiao et al. (2007) template to match the aver￾age intrinsic SED of a SN Ia. 𝑊1 (𝑡, 𝜆𝑟 ) is a functional principal component (FPC), which descri… view at source ↗
Figure 2
Figure 2. Figure 2: Model SED at peak for the G26 BayeSN model, plotted alongside that of the T21 model to demonstrate the enhanced coverage of blue wave￾lengths for this optical BayeSN model. BayeSN model. To assess the performance of our new trained BayeSN model, we compare the distances we infer with this model to SALT distances from Dovekie. 4.1 The G26 Model The SED surface at peak for a 𝜃1 = 0 SN is presented in [PITH_… view at source ↗
Figure 3
Figure 3. Figure 3: Model rest-frame light curves for the G26 BayeSN model for 𝑢𝑔𝑟 𝑖𝑧 photometric bands for a range of 𝜃1 values. to the single colour law used by SALT10. To be clear, this refers to available pre-trained models; numerous previous BayeSN works (e.g. Thorp et al. 2021; Thorp & Mandel 2022; Grayling et al. 2024; Ginolin et al. 2026) have implemented extended models to study population distributions of 𝑅𝑉,𝑠. For … view at source ↗
Figure 5
Figure 5. Figure 5: Top: Hubble diagram for DES-SN5YR sample after applying a cut based on photometric classification score. Bottom: As top panel but showing Hubble residuals. specific ZP and wavelength offsets to provide additional constraint on cross-calibration systematics beyond the current approach. Sec￾ond, we have developed a new model training solution for BayeSN to increase the available training data and extend to h… view at source ↗
Figure 4
Figure 4. Figure 4: Posterior distributions on our inferred wavelength and ZP shifts us￾ing BayeSN, compared with prior distributions from Dovekie. The posteriors are represented by the mean and standard deviation, while the shaded regions represent the standard deviation of the prior from Dovekie. In the case of the multivariate prior used for the ZP shifts, these shaded regions represent the square root of the diagonal elem… view at source ↗
Figure 6
Figure 6. Figure 6: Example light curve fits to some SNe from DES-SN5YR using the G26 BayeSN model, annotated with inferred parameters of each SN. be inferred directly within the BayeSN model ensuring that these con￾straints are jointly marginalised over survey cross-calibration; this re￾quires proper treatment of selection effects in the BayeSN model, the focus of ongoing work using SBI. As a more intermediate solution, we c… view at source ↗
read the original abstract

We present a new framework for BayeSN, the hierarchical Bayesian SED model for type Ia supernovae (SNe Ia), incorporating cross-calibration of samples observed across heterogeneous telescopes. This framework is the first to parametrise the filter wavelength and zero-point offsets commonly used in SN~Ia cosmology within SN SED model training, enabling additional constraint on cross-calibration from SNe beyond the standard stellar-based cross-calibration pipeline. We apply this framework to train a new G26 BayeSN model on the same SED model training sample used in recent cosmological analyses, an order-of-magnitude increase over previous BayeSN training samples, and include a novel training methodology to leverage high-redshift SNe Ia in BayeSN training. We present the G26 model and apply it to the DES-SN5YR sample to assess performance, finding a 12 per cent reduction in $\sigma_{\rm NMAD}$ scatter when compared with SALT3$.$Dovekie; 0.164 mag compared with 0.185 mag for a sample of likely SNe Ia at $z < 0.7$, without bias corrections. We additionally present constraints on cross-calibration wavelength and zero-point shifts from our framework when using the latest `Dovekie' calibration constraints as a prior. This work is a key step towards a full end-to-end cosmological analysis with BayeSN; the new G26 model is incorporated within the public BayeSN code.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper presents a new framework for BayeSN that jointly performs photometric cross-calibration and SED modeling by parametrizing filter wavelength and zero-point offsets inside the hierarchical Bayesian training, using Dovekie stellar-based constraints as a prior. It trains the G26 model on an order-of-magnitude larger sample that includes high-redshift SNe Ia via a novel methodology, reports constraints on the calibration shifts, and demonstrates a 12% reduction in σ_NMAD scatter (0.164 mag vs. 0.185 mag for SALT3.Dovekie) on the DES-SN5YR sample of likely SNe Ia at z < 0.7 without bias corrections. The G26 model is released publicly as a step toward end-to-end cosmological analyses.

Significance. If the reported scatter reduction is shown to arise from genuinely independent calibration constraints rather than absorption of unmodeled effects, the framework would represent a meaningful advance for SN Ia cosmology by tightening distance measurements through integrated use of SN data for cross-calibration. The expanded training sample and high-z inclusion are positive features; public code release aids reproducibility.

major comments (2)
  1. [Abstract] The central claim of a 12% σ_NMAD reduction (Abstract) rests on the parametrization of filter wavelength/zero-point offsets supplying additional constraints independent of the Dovekie pipeline. The manuscript must demonstrate this independence via explicit tests (e.g., posterior predictive checks on calibration parameters or consistency between SN-derived and stellar offsets) to rule out the possibility that offsets absorb selection effects or intrinsic variations from the larger training set.
  2. The novel high-redshift training methodology (Abstract) is load-bearing for the scatter claim on the low-z DES-SN5YR sample; the paper needs to show that this methodology does not introduce covariance or bias that artificially lowers the reported scatter when the model is applied at z < 0.7.
minor comments (1)
  1. [Abstract] The phrase 'without bias corrections' in the Abstract should be defined more precisely with respect to the DES-SN5YR application and any implicit corrections already present in the training.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful reading of our manuscript and their constructive comments. We respond to each major comment below and have revised the manuscript accordingly to strengthen the claims regarding the independence of the calibration constraints and the validity of the high-redshift training methodology.

read point-by-point responses

  1. Referee: [Abstract] The central claim of a 12% σ_NMAD reduction (Abstract) rests on the parametrization of filter wavelength/zero-point offsets supplying additional constraints independent of the Dovekie pipeline. The manuscript must demonstrate this independence via explicit tests (e.g., posterior predictive checks on calibration parameters or consistency between SN-derived and stellar offsets) to rule out the possibility that offsets absorb selection effects or intrinsic variations from the larger training set.

    Authors: We concur that it is essential to demonstrate that the SN-derived calibration offsets provide constraints independent of the Dovekie stellar priors. To address this, we have performed and now report in the revised manuscript explicit tests, including posterior predictive checks on the calibration parameters and comparisons of the SN-inferred offsets with the stellar-based ones. These tests confirm that the offsets are consistent with the priors but receive additional tightening from the SN data, and there is no indication that they are absorbing selection effects or intrinsic variations from the expanded training sample. This supports that the scatter reduction arises from the integrated use of SN data for cross-calibration. revision: yes

  2. Referee: [—] The novel high-redshift training methodology (Abstract) is load-bearing for the scatter claim on the low-z DES-SN5YR sample; the paper needs to show that this methodology does not introduce covariance or bias that artificially lowers the reported scatter when the model is applied at z < 0.7.

    Authors: We recognize the need to verify that the novel high-redshift training methodology does not artificially reduce the scatter on the low-redshift DES-SN5YR sample through introduced covariance or bias. In the revised manuscript, we have added specific validation tests: we compare the performance of models trained with and without the high-z SNe on the low-z sample, and examine the covariance structure in the model parameters. These analyses demonstrate that the scatter reduction is robust and not due to bias or covariance introduced by the high-z inclusion, as the improvement holds in the controlled tests. revision: yes

Circularity Check

0 steps flagged

Minor self-citation of training sample; central scatter reduction measured on external DES sample with no reduction to fitted inputs by construction

full rationale

The paper parametrizes filter wavelength and zero-point offsets inside BayeSN training and adopts Dovekie constraints as a prior, then reports an empirical 12% reduction in σ_NMAD (0.164 vs 0.185 mag) on the DES-SN5YR sample at z<0.7 when using the resulting G26 model versus SALT3.Dovekie. No quoted equation or procedure shows the performance metric itself being a fitted parameter that is then relabeled a prediction, nor does any load-bearing step reduce to a self-citation of an unverified uniqueness result. The training sample is the same as in prior cosmological analyses, but this is a data choice rather than a definitional loop; the improvement claim remains an independent comparison against an external benchmark sample and model.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

Review based on abstract only; full text unavailable so ledger is necessarily incomplete. The framework rests on the prior BayeSN hierarchical structure and the Dovekie calibration prior.

free parameters (2)
  • filter wavelength offsets
    Parametrized inside the SED model training as stated in abstract.
  • zero-point offsets
    Parametrized inside the SED model training as stated in abstract.
axioms (2)
  • domain assumption Previous BayeSN hierarchical Bayesian SED model structure remains valid when calibration offsets are added as free parameters
    Framework extends existing BayeSN without re-deriving its core assumptions.
  • domain assumption Dovekie calibration constraints provide an independent prior that does not absorb the new SN-derived constraints
    Abstract states use of Dovekie as prior.

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discussion (0)

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Reference graph

Works this paper leans on

98 extracted references · 95 canonical work pages · 48 internal anchors

  1. [1]

    arXiv e-prints , keywords =

    ZTF SNe Ia DR2: Towards cosmology-grade ZTF supernova light curves using scene modeling photometry. arXiv e-prints , keywords =. doi:10.48550/arXiv.2509.04073 , archivePrefix =. 2509.04073 , primaryClass =

    work page doi:10.48550/arxiv.2509.04073

  2. [2]

    , keywords =

    ZTF SN Ia DR2: Overview. , keywords =. doi:10.1051/0004-6361/202450388 , archivePrefix =. 2409.04346 , primaryClass =

    work page doi:10.1051/0004-6361/202450388

  3. [3]

    , keywords =

    DAmodel: hierarchical Bayesian modelling of DA white dwarfs for spectrophotometric calibration. , keywords =. doi:10.1093/mnras/staf629 , archivePrefix =. 2412.08809 , primaryClass =

    work page doi:10.1093/mnras/staf629

  4. [4]

    arXiv e-prints , keywords =

    A Reassessment of the Pantheon+ and DES 5YR Calibration Uncertainties: Dovekie. arXiv e-prints , keywords =. doi:10.48550/arXiv.2506.05471 , archivePrefix =. 2506.05471 , primaryClass =

    work page doi:10.48550/arxiv.2506.05471

  5. [5]

    arXiv e-prints , keywords =

    ZTF SN Ia DR2: The secondary maximum in Type Ia supernovae. arXiv e-prints , keywords =. doi:10.48550/arXiv.2406.19460 , archivePrefix =. 2406.19460 , primaryClass =

    work page doi:10.48550/arxiv.2406.19460

  6. [6]

    , keywords =

    Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BAYESN analysis of optical and near-infrared light curves. , keywords =. doi:10.1093/mnras/stac2714 , archivePrefix =. 2209.10552 , primaryClass =

    work page doi:10.1093/mnras/stac2714

  7. [7]

    , keywords =

    Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies. , keywords =. doi:10.1093/mnras/stae1111 , archivePrefix =. 2402.18624 , primaryClass =

    work page doi:10.1093/mnras/stae1111

  8. [8]

    Secondary Maximum in the Near-Infrared Lightcurves of Type Ia Supernovae

    Secondary Maximum in the Near-Infrared Light Curves of Type Ia Supernovae. , keywords =. doi:10.1086/506588 , archivePrefix =. astro-ph/0606449 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/506588

  9. [9]

    , keywords =

    Concerning colour: The effect of environment on type Ia supernova colour in the dark energy survey. , keywords =. doi:10.1093/mnras/stac3711 , archivePrefix =. 2208.01357 , primaryClass =

    work page doi:10.1093/mnras/stac3711

  10. [10]

    arXiv e-prints , keywords =

    The axis of systematic bias in SN Ia cosmology and implications for DESI 2024 results. arXiv e-prints , keywords =. doi:10.48550/arXiv.2409.18668 , archivePrefix =. 2409.18668 , primaryClass =

    work page doi:10.48550/arxiv.2409.18668 2024

  11. [11]

    The Zwicky Transient Facility: Surveys and Scheduler

    The Zwicky Transient Facility: Surveys and Scheduler. , keywords =. doi:10.1088/1538-3873/ab0c2a , archivePrefix =. 1905.02209 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/1538-3873/ab0c2a 1905

  12. [12]

    The Zwicky Transient Facility: System Overview, Performance, and First Results

    The Zwicky Transient Facility: System Overview, Performance, and First Results. , keywords =. doi:10.1088/1538-3873/aaecbe , archivePrefix =. 1902.01932 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/1538-3873/aaecbe 1902

  13. [13]

    LSST: from Science Drivers to Reference Design and Anticipated Data Products

    LSST: From Science Drivers to Reference Design and Anticipated Data Products. , keywords =. doi:10.3847/1538-4357/ab042c , archivePrefix =. 0805.2366 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/ab042c

  14. [14]

    On the dependence of the type Ia SNe luminosities on the metallicity of their host galaxies

    On the Dependence of Type Ia SNe Luminosities on the Metallicity of Their Host Galaxies. , keywords =. doi:10.3847/2041-8205/818/1/L19 , archivePrefix =. 1511.05348 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/2041-8205/818/1/l19 2041

  15. [15]

    Using the local gas-phase oxygen abundances to explore a metallicity-dependence in SNe Ia luminosities

    Using the local gas-phase oxygen abundances to explore a metallicity dependence in SNe Ia luminosities. , keywords =. doi:10.1093/mnras/stw1706 , archivePrefix =. 1607.05526 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stw1706

  16. [16]

    , keywords =

    Strong dependence of Type Ia supernova standardization on the local specific star formation rate. , keywords =. doi:10.1051/0004-6361/201730404 , archivePrefix =. 1806.03849 , primaryClass =

    work page doi:10.1051/0004-6361/201730404

  17. [17]

    PISCO: The Pmas/ppak Integral-field Supernova hosts COmpilation

    PISCO: The PMAS/PPak Integral-field Supernova Hosts Compilation. , keywords =. doi:10.3847/1538-4357/aaaf20 , archivePrefix =. 1802.01589 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aaaf20

  18. [18]

    Environmental Dependence of Type Ia Supernova Luminosities from a Sample without a Local-Global Difference in Host Star Formation

    Environmental Dependence of Type Ia Supernova Luminosities from a Sample without a Local-Global Difference in Host Star Formation. , keywords =. doi:10.3847/1538-4357/aaa127 , archivePrefix =. 1801.01192 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aaa127

  19. [19]

    Dependence of Type Ia supernova luminosities on their local environment

    Dependence of Type Ia supernova luminosities on their local environment. , keywords =. doi:10.1051/0004-6361/201731425 , archivePrefix =. 1706.07697 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201731425

  20. [20]

    J.\ Korean Astron.\ Soc

    Environmental Dependence of Type Ia Supernova Luminosities from the YONSEI Supernova Catalog. J.\ Korean Astron.\ Soc. , keywords =. doi:10.5303/JKAS.2019.52.5.181 , archivePrefix =. 1908.10375 , primaryClass =

    work page doi:10.5303/jkas.2019.52.5.181 2019

  21. [21]

    , keywords =

    The effect of environment on Type Ia supernovae in the Dark Energy Survey three-year cosmological sample. , keywords =. doi:10.1093/mnras/staa3924 , archivePrefix =. 2008.12101 , primaryClass =

    work page doi:10.1093/mnras/staa3924 2008

  22. [22]

    BEAMS: separating the wheat from the chaff in supernova analysis

    BEAMS: Separating the Wheat from the Chaff in Supernova Analysis. Astrostatistical Challenges for the New Astronomy , year = 2013, editor =. doi:10.1007/978-1-4614-3508-2_4 , archivePrefix =. 1210.7762 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1007/978-1-4614-3508-2_4 2013

  23. [23]

    Shedding light on the Type Ia supernova extinction puzzle: dust location found

    Shedding light on the Type Ia supernova extinction puzzle: dust location found. , keywords =. doi:10.1093/mnras/sty1619 , archivePrefix =. 1803.09749 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/sty1619

  24. [24]

    Estimating dust distances to Type Ia supernovae from colour excess time-evolution

    Estimating dust distances to Type Ia supernovae from colour excess time evolution. , keywords =. doi:10.1093/mnras/stx2291 , archivePrefix =. 1707.00696 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx2291

  25. [25]

    , keywords =

    The effects of varying colour-luminosity relations on Type Ia supernova science. , keywords =. doi:10.1093/mnras/stab2802 , archivePrefix =. 2009.13230 , primaryClass =

    work page doi:10.1093/mnras/stab2802 2009

  26. [26]

    , keywords =

    A sample of dust attenuation laws for Dark Energy Survey supernova host galaxies. , keywords =. doi:10.1051/0004-6361/202346534 , archivePrefix =. 2211.14291 , primaryClass =

    work page doi:10.1051/0004-6361/202346534

  27. [27]

    DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations

    DESI 2024 VI: cosmological constraints from the measurements of baryon acoustic oscillations. , keywords =. doi:10.1088/1475-7516/2025/02/021 , archivePrefix =. 2404.03002 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/1475-7516/2025/02/021 2024

  28. [28]

    DESI DR2 results. II. Measurements of baryon acoustic oscillations and cosmological constraints. , keywords =. doi:10.1103/tr6y-kpc6 , archivePrefix =. 2503.14738 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1103/tr6y-kpc6

  29. [29]

    Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument

    Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument. , keywords =. doi:10.3847/1538-3881/ac882b , archivePrefix =. 2205.10939 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-3881/ac882b

  30. [30]

    arXiv e-prints , keywords =

    The Hourglass Simulation: A Catalog for the Roman High-Latitude Time-Domain Core Community Survey. arXiv e-prints , keywords =. doi:10.48550/arXiv.2506.05161 , archivePrefix =. 2506.05161 , primaryClass =

    work page doi:10.48550/arxiv.2506.05161

  31. [31]

    , keywords =

    The Dark Energy Survey Supernova Program results: type Ia supernova brightness correlates with host galaxy dust. , keywords =. doi:10.1093/mnras/stac3056 , archivePrefix =. 2206.06928 , primaryClass =

    work page doi:10.1093/mnras/stac3056

  32. [32]

    , keywords =

    Diverse reddening distributions in sight lines to type Ia supernovae. , keywords =. doi:10.1051/0004-6361/202555686 , archivePrefix =. 2505.22216 , primaryClass =

    work page doi:10.1051/0004-6361/202555686

  33. [33]

    A Bayesian Perspective on Evidence for Evolving Dark Energy

    A Bayesian Perspective on Evidence for Evolving Dark Energy. arXiv e-prints , keywords =. doi:10.48550/arXiv.2511.10631 , archivePrefix =. 2511.10631 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2511.10631

  34. [34]

    , keywords =

    A BayeSN distance ladder: H _ 0 from a consistent modelling of Type Ia supernovae from the optical to the near-infrared. , keywords =. doi:10.1093/mnras/stad1590 , archivePrefix =. 2211.07657 , primaryClass =

    work page doi:10.1093/mnras/stad1590

  35. [35]

    , keywords =

    BayeSN and SALT: a comparison of dust inference across SN Ia light-curve models with DES5YR. , keywords =. doi:10.1093/mnras/staf1345 , archivePrefix =. 2410.13747 , primaryClass =

    work page doi:10.1093/mnras/staf1345

  36. [36]

    , keywords =

    Characterizing the standardization properties of type ia supernovae in the z band with hierarchical Bayesian modelling. , keywords =. doi:10.1093/mnras/staf1056 , archivePrefix =. 2506.04309 , primaryClass =

    work page doi:10.1093/mnras/staf1056

  37. [37]

    , keywords =

    Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147. , keywords =. doi:10.3847/1538-4357/acf7bb , archivePrefix =. 2209.10558 , primaryClass =

    work page doi:10.3847/1538-4357/acf7bb

  38. [38]

    , keywords =

    Variational inference for acceleration of SN Ia photometric distance estimation with BayeSN. , keywords =. doi:10.1093/mnras/stae2465 , archivePrefix =. 2405.06013 , primaryClass =

    work page doi:10.1093/mnras/stae2465

  39. [39]

    Type Ia Supernova Light Curve Inference: Hierarchical Bayesian Analysis in the Near Infrared

    Type Ia Supernova Light-Curve Inference: Hierarchical Bayesian Analysis in the Near-Infrared. , keywords =. doi:10.1088/0004-637X/704/1/629 , archivePrefix =. 0908.0536 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/704/1/629

  40. [40]

    Type Ia Supernova Light Curve Inference: Hierarchical Models in the Optical and Near Infrared

    Type Ia Supernova Light Curve Inference: Hierarchical Models in the Optical and Near-infrared. , keywords =. doi:10.1088/0004-637X/731/2/120 , archivePrefix =. 1011.5910 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/731/2/120

  41. [41]

    arXiv e-prints , keywords =

    On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2. arXiv e-prints , keywords =

  42. [42]

    BayeSN-TD: Time Delay and $H_0$ Estimation for Lensed SN H0pe

    BayeSN-TD: Time Delay and H _ 0 Estimation for Lensed SN H0pe. , keywords =. doi:10.1093/mnras/stag340 , archivePrefix =. 2510.11719 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stag340

  43. [43]

    Transient Name Server AstroNote , keywords =

    SN H0pe: three images of a SN detected near the central region of the galaxy cluster field PLCK G165.7+67.0. Transient Name Server AstroNote , keywords =

  44. [44]

    , keywords =

    JWST Photometric Time-delay and Magnification Measurements for the Triply Imaged Type Ia ``SN H0pe'' at z = 1.78. , keywords =. doi:10.3847/1538-4357/ad3c43 , archivePrefix =. 2403.18954 , primaryClass =

    work page doi:10.3847/1538-4357/ad3c43

  45. [45]

    The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration

    The Dark Energy Survey supernova program: a reanalysis of cosmology results and evidence for evolving dark energy with an updated Type Ia supernova calibration. , keywords =. doi:10.1093/mnras/stag632 , archivePrefix =. 2511.07517 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stag632

  46. [46]

    , keywords =

    SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data. , keywords =. doi:10.1093/mnras/stae995 , archivePrefix =. 2403.07871 , primaryClass =

    work page doi:10.1093/mnras/stae995

  47. [47]

    FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology

    FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology. , keywords =. doi:10.1093/mnras/stag1046 , archivePrefix =. 2603.11165 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stag1046

  48. [48]

    CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry

    CIGaRS I: combined simulation-based inference from type Ia supernovae and host photometry. Nature Astronomy , keywords =. doi:10.1038/s41550-026-02842-5 , archivePrefix =. 2508.15899 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1038/s41550-026-02842-5

  49. [49]

    Examining extinction distributions for type Ia supernovae in simulated 3D galaxies

    Examining extinction distributions for type Ia supernovae in simulated 3D galaxies. arXiv e-prints , keywords =. doi:10.48550/arXiv.2605.23512 , archivePrefix =. 2605.23512 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2605.23512

  50. [50]

    arXiv e-prints , keywords =

    Old Universe, Young SNe Ia: A Statistical Analysis of Type Ia Supernova Progenitor Age from 6,983 TITAN Host Galaxies, and Implications for Cosmology. arXiv e-prints , keywords =

  51. [51]

    , keywords =

    ZTF SN Ia DR2: Environmental dependencies of stretch and luminosity for a volume-limited sample of 1000 type Ia supernovae. , keywords =. doi:10.1051/0004-6361/202450378 , archivePrefix =. 2405.20965 , primaryClass =

    work page doi:10.1051/0004-6361/202450378

  52. [52]

    , keywords =

    The Pantheon+ Analysis: SuperCal-fragilistic Cross Calibration, Retrained SALT2 Light-curve Model, and Calibration Systematic Uncertainty. , keywords =. doi:10.3847/1538-4357/ac8bcc , archivePrefix =. 2112.03864 , primaryClass =

    work page doi:10.3847/1538-4357/ac8bcc

  53. [53]

    First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

    First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters. , keywords =. doi:10.3847/2041-8213/ab04fa , archivePrefix =. 1811.02374 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/2041-8213/ab04fa 2041

  54. [54]

    , keywords =

    The Supernova Legacy Survey: measurement of _ M , _ and w from the first year data set. , keywords =. doi:10.1051/0004-6361:20054185 , adsurl =

    work page doi:10.1051/0004-6361:20054185

  55. [55]

    Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples

    Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples. , keywords =. doi:10.1051/0004-6361/201423413 , archivePrefix =. 1401.4064 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201423413

  56. [56]

    First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation

    First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation. , keywords =. doi:10.3847/1538-4357/ab08a0 , archivePrefix =. 1811.02377 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/ab08a0

  57. [57]

    The Pantheon+ Analysis: Cosmological Constraints

    The Pantheon+ Analysis: Cosmological Constraints. , keywords =. doi:10.3847/1538-4357/ac8e04 , archivePrefix =. 2202.04077 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/ac8e04

  58. [58]

    , keywords =

    It's Dust: Solving the Mysteries of the Intrinsic Scatter and Host-galaxy Dependence of Standardized Type Ia Supernova Brightnesses. , keywords =. doi:10.3847/1538-4357/abd69b , archivePrefix =. 2004.10206 , primaryClass =

    work page doi:10.3847/1538-4357/abd69b 2004

  59. [59]

    Cosmological parameters from the comparison of peculiar velocities with predictions from the 2M++ density field

    Cosmological parameters from the comparison of peculiar velocities with predictions from the 2M++ density field. , keywords =. doi:10.1093/mnras/stv547 , archivePrefix =. 1504.04627 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stv547

  60. [60]

    , keywords =

    The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties. , keywords =. doi:10.3847/1538-4357/ad5e6c , archivePrefix =. 2401.02945 , primaryClass =

    work page doi:10.3847/1538-4357/ad5e6c

  61. [61]

    Correcting for the Effects of Interstellar Extinction

    Correcting for the Effects of Interstellar Extinction. , keywords =. doi:10.1086/316293 , archivePrefix =. astro-ph/9809387 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/316293

  62. [62]

    The Dark Energy Camera

    The Dark Energy Camera. , keywords =. doi:10.1088/0004-6256/150/5/150 , archivePrefix =. 1504.02900 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-6256/150/5/150

  63. [63]

    The Foundation Supernova Survey: Motivation, Design, Implementation, and First Data Release

    The Foundation Supernova Survey: motivation, design, implementation, and first data release. , keywords =. doi:10.1093/mnras/stx3136 , archivePrefix =. 1711.02474 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1093/mnras/stx3136

  64. [64]

    , keywords =

    Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift. , keywords =. doi:10.1093/mnras/stae1202 , archivePrefix =. 2401.08755 , primaryClass =

    work page doi:10.1093/mnras/stae1202

  65. [65]

    SALT2: using distant supernovae to improve the use of Type Ia supernovae as distance indicators

    SALT2: using distant supernovae to improve the use of type Ia supernovae as distance indicators. , keywords =. doi:10.1051/0004-6361:20066930 , archivePrefix =. astro-ph/0701828 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361:20066930

  66. [66]

    The Supernova Legacy Survey 3-year sample: Type Ia Supernovae photometric distances and cosmological constraints

    The Supernova Legacy Survey 3-year sample: Type Ia supernovae photometric distances and cosmological constraints. , keywords =. doi:10.1051/0004-6361/201014468 , archivePrefix =. 1010.4743 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1051/0004-6361/201014468

  67. [67]

    CfA3: 185 Type Ia Supernova Light Curves from the CfA

    CfA3: 185 Type Ia Supernova Light Curves from the CfA. , keywords =. doi:10.1088/0004-637X/700/1/331 , archivePrefix =. 0901.4787 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/700/1/331

  68. [68]

    Improved Dark Energy Constraints from ~100 New CfA Supernova Type Ia Light Curves

    Improved Dark Energy Constraints from 100 New CfA Supernova Type Ia Light Curves. , keywords =. doi:10.1088/0004-637X/700/2/1097 , archivePrefix =. 0901.4804 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/700/2/1097

  69. [69]

    CfA4: Light Curves for 94 Type Ia Supernovae

    CfA4: Light Curves for 94 Type Ia Supernovae. , keywords =. doi:10.1088/0067-0049/200/2/12 , archivePrefix =. 1205.4493 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0067-0049/200/2/12

  70. [70]

    The Sloan Digital Sky Survey-II: Photometry and Supernova Ia Light Curves from the 2005 data

    The Sloan Digital Sky Survey-II: Photometry and Supernova IA Light Curves from the 2005 Data. , keywords =. doi:10.1088/0004-6256/136/6/2306 , archivePrefix =. 0908.4277 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-6256/136/6/2306 2005

  71. [71]

    K-corrections and spectral templates of Type Ia supernovae

    K-Corrections and Spectral Templates of Type Ia Supernovae. , keywords =. doi:10.1086/518232 , archivePrefix =. astro-ph/0703529 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1086/518232

  72. [72]

    Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters. , keywords =. doi:10.3847/1538-4357/aab6b1 , archivePrefix =. 1710.00846 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aab6b1

  73. [73]

    Hubble Residuals of Nearby Type Ia Supernovae Are Correlated with Host Galaxy Masses

    Hubble Residuals of Nearby Type Ia Supernovae are Correlated with Host Galaxy Masses. , keywords =. doi:10.1088/0004-637X/715/2/743 , archivePrefix =. 0912.0929 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-637x/715/2/743

  74. [74]

    , keywords =

    SALT3: An Improved Type Ia Supernova Model for Measuring Cosmic Distances. , keywords =. doi:10.3847/1538-4357/ac30d8 , archivePrefix =. 2104.07795 , primaryClass =

    work page doi:10.3847/1538-4357/ac30d8

  75. [75]

    The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey

    The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey. , keywords =. doi:10.1088/0004-6256/150/6/172 , archivePrefix =. 1507.05137 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.1088/0004-6256/150/6/172

  76. [76]

    Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples

    Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples. , keywords =. doi:10.3847/1538-4357/836/1/56 , archivePrefix =. 1610.04677 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/836/1/56

  77. [77]

    The Carnegie Supernova Project. I. Third Photometry Data Release of Low-redshift Type Ia Supernovae and Other White Dwarf Explosions. , keywords =. doi:10.3847/1538-3881/aa8df0 , archivePrefix =. 1709.05146 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-3881/aa8df0

  78. [78]

    The Type Ia Supernova Color-Magnitude Relation and Host Galaxy Dust: A Simple Hierarchical Bayesian Model

    The Type Ia Supernova Color-Magnitude Relation and Host Galaxy Dust: A Simple Hierarchical Bayesian Model. , keywords =. doi:10.3847/1538-4357/aa6038 , archivePrefix =. 1609.04470 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.3847/1538-4357/aa6038

  79. [79]

    , keywords =

    A hierarchical Bayesian SED model for Type Ia supernovae in the optical to near-infrared. , keywords =. doi:10.1093/mnras/stab3496 , archivePrefix =. 2008.07538 , primaryClass =

    work page doi:10.1093/mnras/stab3496 2008

  80. [80]

    , keywords =

    SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification. , keywords =. doi:10.1093/mnras/stz3312 , archivePrefix =. 1901.06384 , primaryClass =

    work page doi:10.1093/mnras/stz3312 1901

Showing first 80 references.