Microlensing and the type Ia supernova iPTF16geu
arXiv:2112.04524 · doi:10.1051/0004-6361/202143009
Abstract
The observed magnifications and light curves of the quadruply-imaged iPTF16geu supernova (SN) offers a unique opportunity to study a lens system with a variety of independent constraints. The four observed positions can be used to constrain the macrolens model. The magnifications and light curves at the four SN positions are more useful to constrain microlensing models. We define the macrolens model as a combination of a baryonic component that traces the observed light distribution, and a dark matter halo component. We constrain the macrolens model using the positional constraints given by the 4 observed images, and compare it with the best model obtained when magnification constraints are included. We find that the magnification can not be explained by a macrolens model alone, and that contributions from substructures such as microlenses are needed to explain the observed magnifications. We consider microlens models based on the inferred stellar mass from the baryonic component of the macrolens model, and use the observed magnification and light curves to constrain the contribution from microlenses. We compute the likelihood of a variety of macro+micro lens models where we vary the dark matter halo, baryonic component, and microlens configurations. We use information about the position, magnification and, for the first time, the lightcurves of the four observed SN images. We combine macrolens and microlens models in order to reproduce the observations; the four SN positions, magnifications, and lack of fluctuations in the light curves. After marginalizing over the model parameters, we find that larger stellar surface mass densities are preferred. This result suggests that the mass of the baryonic component is dominated by its stellar component. We conclude that microlensing from the baryonic component suffices to explain the observed flux ratios and light curves.
21 pages and 30 figures
References in corpus (14)
- The NumPy array: a structure for efficient numerical computation
- scikit-image: Image processing in Python
- The Sloan Lens ACS Survey. V. The Full ACS Strong-Lens Sample
- Understanding caustic crossings in giant arcs: characteristic scales, event rates, and constraints on compact dark matter
- Curvature in the scaling relations of early-type galaxies
- The multiple quasar Q2237+0305 under a microlensing caustic
- The Scaling of Stellar Mass and Central Stellar Velocity Dispersion for Quiescent galaxies at z < 0.7
- PyAutoLens: Open-Source Strong Gravitational Lensing
- The ISM scaling relations in DustPedia late-type galaxies: A benchmark study for the Local Universe
- Turning Gravitationally Lensed Supernovae into Cosmological Probes
- Interpreting the strongly lensed supernova iPTF16geu: time delay predictions, microlensing, and lensing rates
- PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting
- High-Velocity Type Ia Supernova Has a Unique Host Environment
- Unified lensing and kinematic analysis for any elliptical mass profile
Cited by in corpus (8)
- Strongly Lensed Transient Sources: A Review
- Uncovering a population of gravitational lens galaxies with magnified standard candle SN Zwicky
- Strong gravitational lensing and microlensing of supernovae
- Wave effect of gravitational waves intersected with a microlens field II: an adaptive hierarchical tree algorithm and population study
- An interference-based method for the detection of strongly lensed gravitational waves
- LensWatch. II. Improved Photometry and Time-delay Constraints on the Strongly Lensed Type Ia Supernova 2022qmx ("SN Zwicky") with HST Template Observations
- The Case for Space: Estimating Precise Time Delays from Ground- and Space-Based Observations of Lensed Supernovae with Glimpse
- iPTF16geu through the lens of thermonuclear explosion models