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Precision cosmology with Type Ia supernovae (SNe Ia) requires robust quality control of large, heterogeneous datasets. Current data processing often relies on manual, subjective rejection of photometric data, a practice that is not scalable…

Instrumentation and Methods for Astrophysics · Physics 2025-09-18 S. A. K. Leeney , W. J. Handley , H. T. J. Bevins , E. de Lera Acedo

We derive the rates of Type Ia supernovae (SNIa) over a wide range of redshifts using a complete sample from the IfA Deep Survey. This sample of more than 100 SNIa is the largest set ever collected from a single survey, and therefore…

Astrophysics · Physics 2009-11-13 Brian J. Barris , John L. Tonry

Space debris poses a significant threat, driving research into active and passive mitigation strategies. This work presents an innovative collision avoidance system utilizing event-based cameras - a novel imaging technology well-suited for…

Machine Learning · Computer Science 2025-06-23 Antonio Giulio Coretti , Mattia Varile , Mario Edoardo Bertaina

Although synthetic aperture imaging (SAI) can achieve the seeing-through effect by blurring out off-focus foreground occlusions while recovering in-focus occluded scenes from multi-view images, its performance is often deteriorated by dense…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Lei Yu , Xiang Zhang , Wei Liao , Wen Yang , Gui-Song Xia

Improving the use of Type Ia supernovae (SNIa) as standard candles requires a better approach to incorporate the relationship between SNIa and the properties of their host galaxies. Using a spectroscopically-confirmed sample of $\sim$1600…

Cosmology and Nongalactic Astrophysics · Physics 2021-06-02 Brodie Popovic , Dillon Brout , Richard Kessler , Dan Scolnic , Lisa Lu

In the era of large-scale photometric surveys, scalable and robust methods for classifying supernova (SN) populations are increasingly necessary. Often, spectroscopy is essential in addition to photometry to reliably classify SNe; however,…

Instrumentation and Methods for Astrophysics · Physics 2026-05-29 Ana Sofía M. Uzsoy , V. Ashley Villar

We present the first results of the High cadence Transient Survey (HiTS), a survey whose objective is to detect and follow up optical transients with characteristic timescales from hours to days, especially the earliest hours of supernova…

Applications in the Internet of Video Things (IoVT) domain have very tight constraints with respect to power and area. While neuromorphic vision sensors (NVS) may offer advantages over traditional imagers in this domain, the existing NVS…

Image and Video Processing · Electrical Eng. & Systems 2020-03-20 Deepak Singla , Soham Chatterjee , Lavanya Ramapantulu , Andres Ussa , Bharath Ramesh , Arindam Basu

The upcoming Large Synoptic Survey Telescope (LSST) will detect many strongly lensed Type Ia supernovae (LSNe Ia) for time-delay cosmography. This will provide an independent and direct way for measuring the Hubble constant $H_0$, which is…

A new generation of ultra-low-background scintillator-based detectors aims to study solar neutrinos and search for dark matter and new physics beyond the Standard Model. These optical, non-imaging detectors generally contain a "fiducial…

Instrumentation and Detectors · Physics 2009-11-11 Cristiano Galbiati , Kevin McCarty

In this work, we consider the detection of manoeuvring small objects with radars. Such objects induce low signal to noise ratio (SNR) reflections in the received signal. We consider both co-located and separated transmitter/receiver pairs,…

Systems and Control · Computer Science 2025-07-08 Kimin Kim , Murat Uney , Bernard Mulgrew

We present the results of spectroscopic observations from the ESSENCE high-redshift supernova (SN) survey during its first four years of operation. This sample includes spectra of all SNe Ia whose light curves were presented by Miknaitis et…

The ZTF SN Ia Data Release 2 provides a perfect opportunity to perform a thorough search for, and subsequent analysis of, high-velocity components in the Si II $\lambda$6355 feature in the pre-peak regime. The source of such features…

Supernova neutrino detection in neutrino and dark matter experiments is usually implemented as a real-time trigger system based on counting neutrino interactions within a moving time window. The sensitivity reach of such experiments can be…

High Energy Physics - Phenomenology · Physics 2021-12-28 A. Sheshukov , A. Vishneva , A. Habig

We develop a new framework for use in exploring Type Ia Supernova (SN Ia) spectra. Combining Principal Component Analysis (PCA) and Partial Least Square analysis (PLS) we are able to establish correlations between the Principal Components…

Event cameras offer high temporal resolution and dynamic range with minimal motion blur, making them promising for robust object detection. While Spiking Neural Networks (SNNs) on neuromorphic hardware are often considered for…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Soikat Hasan Ahmed , Jan Finkbeiner , Emre Neftci

Accurate standardisation of Type Ia supernovae (SNIa) is instrumental to the usage of SNIa as distance indicators. We analyse a homogeneous sample of 22 low-z SNIa, observed by the Carnegie Supernova Project (CSP) in the optical and near…

Cosmology and Nongalactic Astrophysics · Physics 2016-09-21 Hikmatali Shariff , Suhail Dhawan , Xiyun Jiao , Bruno Leibundgut , Roberto Trotta , David A. van Dyk

With a booming number of Type Ia supernovae (SNe Ia) discovered within a few days of their explosions, a fraction of SNe Ia that show luminosity excess in the early phase (early-excess SNe Ia) have been confirmed. In this article, we report…

Splice detection models are the need of the hour since splice manipulations can be used to mislead, spread rumors and create disharmony in society. However, there is a severe lack of image splicing datasets, which restricts the capabilities…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Ankit Yadav , Dinesh Kumar Vishwakarma

Salient object detection (SOD), 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…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Pingping Zhang , Wei Liu , Huchuan Lu , Chunhua Shen