Supernova forecast with strong lensing

Yudai Suwa

doi:10.1093/mnras/stx2953

AI summary · arXiv: 1711.00183v1 · astro-ph.HE

Supernova forecast with strong lensing

Yudai Suwa (YITP, Kyoto U)

Original paper · DOI 10.1093/mnras/stx2953 Submitted to arXiv on 01 Nov. 2017 5 pages, 3 figures, 1 table; submitted to MNRAS on 1 May 2017 License: NONEXCLUSIVE-DISTRIB 1.0

How to read this summary? Illustrated guide

The essentials

Large Synoptic Survey Telescope (LSST) era provides opportunity to observe a large number of lensed supernovae
Study investigates predicting time and sky position of supernova using strong lensing techniques
Focuses on SNe that produce four images through strong gravitational lensing
Combination of information from previous three images allows accurate prediction of fourth image
Prediction capability crucial for multi-messenger observations of early phase of supernova explosions
Strong lensing can greatly enhance understanding of cosmic events in LSST era
Anticipating when and where a supernova will occur enables targeted observations and data collection during critical phases
Strong lensing is a valuable tool for forecasting and studying supernovae in greater detail
Advancements in observational capabilities and data analysis techniques expected to lead to significant progress in understanding supernovae behavior

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Strong lensing Supernovae LSST era Shock breakout Multi-messenger observations

Read further

Comprehensive Summary
Layman's Summary
Blog article
Original abstract

In the coming Large Synoptic Survey Telescope (LSST) era, there will be a significant opportunity to observe a large number of lensed supernovae (SNe). In this paper titled "Supernova forecast with strong lensing," Yudai Suwa investigates the possibility of predicting the time and sky position of a supernova using strong lensing techniques. The study focuses on SNe that produce four images through strong gravitational lensing. By combining information from the three previous images, the researchers find that it will be possible to accurately predict the time and position of the fourth image. This prediction capability is crucial for performing multi-messenger observations of the very early phase of supernova explosions, including phenomena like shock breakout. The authors emphasize that in the LSST era, where approximately 100 lensed SNe are expected to be observed, this predictive power provided by strong lensing can greatly enhance our understanding of these cosmic events. The ability to anticipate when and where a supernova will occur allows for targeted observations and data collection during critical phases such as shock breakout. This research highlights the potential of strong lensing as a valuable tool for forecasting and studying supernovae in greater detail. With advancements in observational capabilities and data analysis techniques, we can expect significant progress in our understanding of these explosive astrophysical events. By leveraging powerful tools such as strong lensing for forecasting and observing supernovae more closely, we can gain insights into their behavior at different stages throughout their life cycle.

Forecasting Supernovae with Strong Lensing

Supernovae are some of the most powerful and mysterious cosmic events in the universe. In the coming Large Synoptic Survey Telescope (LSST) era, there will be a significant opportunity to observe a large number of lensed supernovae (SNe). A recent study titled "Supernova forecast with strong lensing" by Yudai Suwa investigates the possibility of predicting the time and sky position of a supernova using strong gravitational lensing techniques.

What is Strong Lensing?

Strong gravitational lensing occurs when light from distant objects such as galaxies or quasars is bent by an intervening massive object, such as another galaxy or cluster of galaxies. This phenomenon produces multiple images that appear at different locations on the sky due to their different paths through space-time curvature.

Predictive Power of Strong Lensing

The study focuses on SNe that produce four images through strong gravitational lensing. By combining information from the three previous images, it was found that it will be possible to accurately predict the time and position of the fourth image. This predictive power provided by strong lensing can greatly enhance our understanding of these explosive astrophysical events in many ways. For example, it allows for targeted observations and data collection during critical phases such as shock breakout - something which would otherwise not be possible without prior knowledge about when and where a supernova will occur.

Implications for LSST Era

In this new era where approximately 100 lensed SNe are expected to be observed, this predictive capability provided by strong lensing can provide us with valuable insights into these cosmic events like never before. With advancements in observational capabilities and data analysis techniques, we can expect significant progress in our understanding of supernovae explosions throughout their life cycle - from shock breakout all the way to peak brightness phase - allowing us to gain deeper insights into their behavior at each stage along its journey across space-time continuum.

Conclusion

This research highlights how powerful tools such as strong gravitational lenses can help us better understand some of nature’s most spectacular phenomena: supernovae explosions! By leveraging its forecasting capabilities for observing supernovae more closely, we can gain invaluable insights into their behavior at different stages throughout their life cycle – something which could not have been achieved without prior knowledge about when and where they will occur beforehand!

Created on 03 Oct. 2023

Was this synthesis useful?

Score: 0

Ask questions about this paper to our AI assistant

How to chat with this paper? Illustrated guide

Compare with the PDF

You can also chat with multiple papers at once here.

AI assistant instructions?

Tools for this paper

Explain it differently 3 free rewrites left today

Save to a collection Group papers in collections to compare them, chat with them and export them. Create a free account Log in

Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Obsidian (Markdown) · Notion (Markdown)

Advanced tools Premium

For researchers who follow a field closely: citation alerts, journal-club slides, version comparison and Zotero export. Discover Premium

Zotero

Citation alerts Citation alerts guide

Who works on it? The people and institutions who publish on its topic

Journal club Premium+ Slides to present it Propose for the journal club

Versions What changed between versions

Talk about it in public Premium+ Press kit: release, questions, hype check Press kit guide

Papers around this one

See them on a map

Ranked by how close their title and abstract are to this paper’s. Select some to read them together.

Closest papers

Related
Effects of LESA in Three-Dimensional Supernova Simulations with Multi-Dimensional and Ray-by-Ray-plus Neutrino Transport
Robert Glas, H. -Thomas Janka, Tobias Melson et al. · 2018 · High Energy Astrophysical Phenomena · AI summary available

Abstract
A set of eight self-consistent, time-dependent supernova (SN) simulations in three spatial dimensions (3D) for 9 solar-mass and 20 solar-mass progenitors is evaluated for the presence of dipolar asymmetries of the electron lepton-number emission as discovered by Tamborra et al. and termed lepton-number emission self-sustained asymmetry (LESA). The simulations were performed with the Aenus-Alcar neutrino/hydrodynamics code, which treats the energy- and velocity-dependent transport of neutrinos of all flavors by a two-moment scheme with algebraic M1 closure. For each of the progenitors, results with fully multi-dimensional (FMD) neutrino transport and with ray-by-ray-plus (RbR+) approximation …
Related
Multi-messenger prospects for black hole - neutron star mergers in the O4 and O5 runs
Alberto Colombo, Raphaël Duqué, Om Sharan Salafia et al. · 2023 · High Energy Astrophysical Phenomena · AI summary available

Abstract
The existence of merging black hole-neutron star (BHNS) binaries has been ascertained through the observation of their gravitational wave (GW) signals. However, to date, no definitive electromagnetic (EM) emission has been confidently associated with these mergers. Such an association could help unravel crucial information on these systems, for example, their BH spin distribution, the equation of state (EoS) of NS and the rate of heavy element production. We model the multi-messenger (MM) emission from BHNS mergers detectable during the fourth (O4) and fifth (O5) observing runs of the LIGO-Virgo-KAGRA GW detector network, in order to provide detailed predictions that can help enhance the eff…
Related
Detection of Low-Redshift Excess in Supernova-Linked Gamma-Ray Bursts
Qin-Mei Li, Qi-Bin Sun, Sheng-Bang Qian et al. · 2025 · High Energy Astrophysical Phenomena · AI summary available

Abstract
Gamma-ray bursts (GRBs) are traditionally classified into long (lGRBs) and short (sGRBs) durations based on their $T_{90}$, with lGRBs widely used as tracers of the cosmic star formation rate (SFR) due to their observed association with core-collapse supernovae. However, recent detections of kilonovae accompanying some lGRBs challenge this assumption, suggesting potential contamination from compact binary mergers. Here, we move beyond the conventional $T_{90}$-based classification and focus exclusively on GRBs directly associated with supernovae - the most direct signatures of massive stellar collapse - to reassess their connection to the SFR. Using a sample of SN/GRBs, we construct the lumi…
Related
Measuring Black Hole Light Echoes with Very Long Baseline Interferometry
George N. Wong, Lia Medeiros, Alejandro Cárdenas-Avendaño et al. · 2024 · High Energy Astrophysical Phenomena · AI summary available

Abstract
Light passing near a black hole can follow multiple paths from an emission source to an observer due to strong gravitational lensing. Photons following different paths take different amounts of time to reach the observer, which produces an echo signature in the image. The characteristic echo delay is determined primarily by the mass of the black hole, but it is also influenced by the black hole spin and inclination to the observer. In the Kerr geometry, echo images are demagnified, rotated, and sheared copies of the direct image and lie within a restricted region of the image. Echo images have exponentially suppressed flux, and temporal correlations within the flow make it challenging to dir…
Related
Dust grains from the heart of supernovae
M. Bocchio, S. Marassi, R. Schneider et al. · 2016 · High Energy Astrophysical Phenomena · AI summary available

Abstract
Dust grains are classically thought to form in the winds of AGB stars. However, nowadays there is increasing evidence for dust formation in SNe. In order to establish the relative importance of these two classes of stellar sources of dust it is important to know what is the fraction of freshly formed dust in SN ejecta that is able to survive the passage of the reverse shock and be injected in the interstellar medium. With this aim, we have developed a new code, GRASH_Rev, that allows to follow the dynamics of dust grains in the shocked SN ejecta and to compute the time evolution of the mass, composition and size distribution of the grains. We consider four well studied SNe in the Milky Way a…
Related
A Collapsar-Disk Origin for GW190814
Vishal Baibhav, Brian D. Metzger, Lam Hui · 2026 · High Energy Astrophysical Phenomena · AI summary available

Abstract
GW190814 was a remarkable gravitational-wave (GW) event: a merger between a 23 solar-mass black hole (BH) and a 2.6 solar-mass compact object, with an extreme mass ratio that is difficult to reproduce through standard isolated-binary or dynamical formation channels. Recent work has shown that neutrino-cooled collapsar disks can become gravitationally unstable and fragment, producing neutron stars (NSs) or low-mass BHs in orbit around the newly formed central BH. These fragments may subsequently interact, scatter, merge with one another, or inspiral into the central remnant. We propose that GW190814 originated from such a collapsar-disk fragment merging with the central BH. A key prediction o…
Related
Superheavy Elements in Kilonovae
Erika M. Holmbeck, Jennifer Barnes, Kelsey A. Lund et al. · 2023 · High Energy Astrophysical Phenomena · AI summary available

Abstract
As LIGO-Virgo-KAGRA enters its fourth observing run, a new opportunity to search for electromagnetic counterparts of compact object mergers will also begin. The light curves and spectra from the first "kilonova" associated with a binary neutron star binary (NSM) suggests that these sites are hosts of the rapid neutron capture ("$r$") process. However, it is unknown just how robust elemental production can be in mergers. Identifying signposts of the production of particular nuclei is critical for fully understanding merger-driven heavy-element synthesis. In this study, we investigate the properties of very neutron rich nuclei for which superheavy elements ($Z\geq 104$) can be produced in NSMs…
Related
How to turn a Supernova into a PeVatron
Robert Brose, Iurii Sushch, Jonathan Mackey · 2025 · High Energy Astrophysical Phenomena · AI summary available

Abstract
Context. It is important to determine which Galactic cosmic-ray sources can accelerate particles to the knee of the cosmic ray spectrum at a few PeV, and in particular whether supernova remnants may contribute. Current models for particle acceleration in very young remnants assume the circumstellar material consists of smooth, freely expanding winds. There is strong evidence that some supernovae expand into much denser circumstellar material including dense shells ejected by eruptions shortly before explosion. Aims. We investigate the effects of dense circumstellar shells on particle acceleration in supernova shocks during the first few years post-explosion, to quantify whether such interact…

Go further

How are these papers found?

We compare the title and abstract of this paper with those of every paper summarized on this site, and with the papers Semantic Scholar recommends, those it cites and those citing it (for a much-cited paper, its most recent citations and, from OpenAlex, the most cited ones). Among the prior work and the follow-ups, the papers that use each other in depth, a method it uses and the much-cited follow-ups come a little higher. The levels (very close, close, related) come from the similarity of the texts, not from a judgment of quality; * marks a paper without an abstract, compared by its title. The sentence under a paper is written by an AI from the two abstracts: check it in the papers. A paper marked not relevant by three readers leaves the list.

For now only among the papers summarized on this site: search again to add the prior work, the follow-ups and Semantic Scholar’s recommendations.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.