NCU Confirms a Superluminous Supernova

In this international collaboration, the NCU team played a central role in key observing and data-analysis efforts, providing crucial data to confirm this rare strongly gravitationally lensed supernova system. Assistant Professor Ting-Wan Chen’s team used the Lulin One-meter Telescope (LOT) for image confirmation and photometric monitoring. She noted that on nights with good weather and excellent seeing, LOT images can even resolve the individual lensed images of SN Winny, providing key observational constraints for the photometric analysis and lens modeling.

Postdoctoral researcher Dr. Amar Aryan analyzed r-band imaging from the Canada-France-Hawaii Telescope (CFHT) and identified an additional transient point source near the previously reported multiple images. He reported it via a Transient Name Server AstroNote as a possible fifth lensed image. Using the positions of all five copies, Leon Ecker and Allan Schweinfurth et al., built the first model of the lens mass distribution. On the data-processing side, the DETECT tool developed by graduate student Yu-Hsing Lee independently flagged this bright transient through routine cross-matching between newly discovered transients and Dark Energy Spectroscopic Instrument (DESI) galaxy data. This substantially improves candidate-identification efficiency and rapid follow-up capability, providing a robust basis for precise measurements of the time delays between the multiple images.

Assistant Professor Ting-Wan Chen explained that gravitational lensing is like a natural magnifying glass in the universe: it bends the light from the same background object along multiple paths, allowing us to see several “duplicate” images. Because each light path travels a different distance and experiences a different amount of gravitational bending, the light reaches Earth at different times, so the images can brighten at different moments. By precisely measuring these time delays between the multiple images and combining them with a mass-distribution model of the lensing galaxy, the team can constrain cosmological distances and key parameters of the Universe’s expansion, such as the Hubble constant. First author of the paper Dr. Stefan Taubenberger added that, unlike the cosmic distance ladder, this is a one-step method, with fewer and completely different sources of systematic uncertainty, helping to clarify the long-standing Hubble tension.

For further details, please refer to the articles published/submitted in Astronomy & Astrophysics at:

Taubenberger et al.: https://arxiv.org/abs/2510.21694

Ecker, Schweinfurth et al: http://arxiv.org/abs/2602.16620

Building a Resilient and Sustainable City: NCU and Taoyuan City Government Join Forces on “Environmental Governance and Smart Disaster Prevention”

In response to the growing challenges of climate change and increasing risks of extreme disasters, National Central University (NCU) and the Taoyuan City Government signed a Memorandum of Understanding (MOU) on August 13 for cooperation in “Environmental Governance and Smart Disaster Prevention.” Through the integration of advanced meteorological observation technologies, intelligent disaster prevention systems, and the combined strengths of administrative and academic resources, the partnership aims to create a smart city that embodies both technological resilience and environmental sustainability.
The signing ceremony was jointly attended by President Dr. Shu-San Hsiau, National Central University and Taoyuan City Mayor San-Cheng Chang. The collaboration focuses on 2 key areas: “Environmental Governance” and “Smart Disaster Prevention.” Leveraging NCU’s expertise in remote sensing technology, intelligent monitoring, and data analytics, the partnership will introduce advanced technologies into municipal management to strengthen pollution control and disaster early warning systems—addressing the increasingly severe challenges posed by climate change.
In the area of Environmental Governance, the two parties will promote environmental monitoring and forecasting systems, develop pollution control strategies, and work toward achieving net-zero carbon emissions. In terms of Smart Disaster Prevention, the collaboration will utilize information and communication technologies, meteorological radar, and other remote sensing tools—combined with big data analytics—to enhance real-time response capabilities to natural disasters. Through partnership with academic sector, the Taoyuan City Government aims to establish a governance model characterized by resilience, intelligence, and forward-looking vision.
As the leading university in Taoyuan, National Central University (NCU) has long been dedicated to the city’s sustainable development. NCU has established strong research capabilities in areas related to environment and extreme weather, continually advancing innovative scientific technologies through cutting-edge remote sensing, data analytics, and numerical modeling. By signing this MOU with Taoyuan City Government, NCU seeks to translate academic research into practical, localized applications—fulfilling its social responsibility as a university, supporting the city government in building a sustainable and livable community, and bringing long-term benefits to its citizens.
Taoyuan City Government stated that the signing of this MOU is not only a significant symbol of collaboration between administrative and academic sectors, but also a key step toward establishing a new paradigm for smart environmental governance and disaster prevention in Taoyuan. Moving forward, both parties will continue to deepen their partnership and jointly pursue the core vision of “using technology to protect the environment and smart solutions to enhance disaster resilience,” creating a safe, sustainable, and livable environment for all citizens.