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The second data release of Type Ia supernovae (SNe Ia) observed by the Zwicky Transient Facility has provided a homogeneous sample of 3628 SNe Ia with photometric and spectral information. This unprecedented sample size enables us to better…

Type Ia supernovae (SNIa) have been used as approximate standard candles to measure cosmological parameters such as the Hubble constant and the deceleration parameter. These measurements rely on empirical correlations between peak…

Astrophysics · Physics 2007-05-23 Nicolas Regnault

Research into optical spiking neural networks (SNNs) has primarily focused on spiking devices, networks of excitable lasers or numerical modelling of large architectures, often overlooking key constraints such as limited optical power,…

Event cameras, with their high dynamic range and temporal resolution, are ideally suited for object detection, especially under scenarios with motion blur and challenging lighting conditions. However, while most existing approaches…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Ziming Wang , Ziling Wang , Huaning Li , Lang Qin , Runhao Jiang , De Ma , Huajin Tang

We present the largest extragalactic survey of supernova remnant (SNR) candidates in nearby star-forming galaxies using exquisite spectroscopic maps from MUSE. Supernova remnants exhibit distinctive emission-line ratios and kinematic…

We present improved photometric supernovae classification using deep recurrent neural networks. The main improvements over previous work are (i) the introduction of a time gate in the recurrent cell that uses the observational time as an…

Instrumentation and Methods for Astrophysics · Physics 2018-12-12 Adam Moss

We present a model-independent, photometry-only framework for identifying strongly lensed supernovae when multiple images are unresolved and blended into a single point source. Building on the simulation-based methodology of Bag et al.…

Instrumentation and Methods for Astrophysics · Physics 2026-05-01 Sangwoo Park , Arman Shafieloo , Alex G. Kim , Eric V. Linder , Xiaosheng Huang

Salient object detection, which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-world applications. However, this vision task is quite challenging,…

Computer Vision and Pattern Recognition · Computer Science 2018-04-18 Pingping Zhang , Wei Liu , Huchuan Lu , Chunhua Shen

Synthetic aperture imaging (SAI) is able to achieve the see through effect by blurring out the off-focus foreground occlusions and reconstructing the in-focus occluded targets from multi-view images. However, very dense occlusions and…

Computer Vision and Pattern Recognition · Computer Science 2021-03-31 Xiang Zhang , Wei Liao , Lei Yu , Wen Yang , Gui-Song Xia

Context. The SDSS-II Supernova Survey, conducted between 2005 and 2007, was designed to detect a large number of Type Ia supernovae (SNe Ia) around z~0.2, the redshift "gap" between low-z and high-z SN searches. The survey has provided…

We analyze the mean rest-frame ultraviolet (UV) spectrum of Type Ia Supernovae (SNe Ia) and its dispersion using high signal-to-noise Keck-I/LRIS-B spectroscopy for a sample of 36 events at intermediate redshift (z=0.5) discovered by the…

In order to keep track of the operational state of power grid, the world's largest sensor systems, smart grid, was built by deploying hundreds of millions of smart meters. Such system makes it possible to discover and make quick response to…

Machine Learning · Computer Science 2019-07-10 Jiangteng Li , Fei Wang

The last couple of decades have seen an emergence of transient detection facilities in various avenues of time domain astronomy which has provided us with a rich dataset of transients. The rates of these transients have implications in star…

Instrumentation and Methods for Astrophysics · Physics 2019-09-04 Deep Chatterjee , Peter E. Nugent , Patrick R. Brady , Chris Cannella , David L. Kaplan , Mansi M. Kasliwal

Detection of moving sources over complicated background is important for several reasons. First is measuring the astrophysical motion of the source. Second is that such motion resulting from atmospheric scintillation, color refraction, or…

Instrumentation and Methods for Astrophysics · Physics 2024-03-18 O. Springer , E. O. Ofek , B. Zackay , R. Konno , A. Sharon , G. Nir , A. Rubin , A. Haddad , J. Friedman , L. Schein Lubomirsky , I. Aizenberg , A. Krassilchtchikov , A. Gal-Yam

We use multi-band imagery data from the Sloan Digital Sky Survey (SDSS) to measure projected distances of 302 supernova type Ia (SNIa) from the centre of their host galaxies, normalized to the galaxy's brightness scale length, with a…

Astrophysics of Galaxies · Physics 2019-01-02 R. Hill , H. Shariff , R. Trotta , S. Ali-Khan , X. Jiao , Y. Liu , S. K. Moon , W. Parker , M. Paulus , D. A. van Dyk , L. B. Lucy

Tracking and acquiring simultaneous optical images of randomly moving targets obscured by scattering media remains a challenging problem of importance to many applications that require precise object localization and identification. In this…

Neural and Evolutionary Computing · Computer Science 2025-06-12 Ning Zhang , Timothy Shea , Arto Nurmikko

Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurement in the China Space Station Telescope Ultra Deep Field…

Cosmology and Nongalactic Astrophysics · Physics 2024-04-24 Minglin Wang , Yan Gong , Furen Deng , Haitao Miao , Xuelei Chen , Hu Zhan

Supernova (SN) rates are a potentially powerful diagnostic of star formation history (SFH), metal enrichment, and SN physics, particularly in galaxy clusters with their deep, metal-retaining potentials, and simple SFH. However, a…

Astrophysics · Physics 2011-02-11 Keren Sharon , Avishay Gal-Yam , Dan Maoz , Alexei V. Filippenko , Puragra GuhaThakurta , .

We aim to present 70 spectra of 68 new high-redshift type Ia supernovae (SNeIa) measured at ESO's VLT during the final two years of operation (2006-2008) of the Supernova Legacy Survey (SNLS). We use the full five year SNLS VLT spectral set…

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