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We introduce Deep-HiTS, a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High cadence Transient Survey (HiTS). CNNs have the advantage of…

Instrumentation and Methods for Astrophysics · Physics 2017-02-22 Guillermo Cabrera-Vives , Ignacio Reyes , Francisco Förster , Pablo A. Estévez , Juan-Carlos Maureira

More than 3000 spectroscopically confirmed Type Ia supernovae (SNe Ia) are presented in the Zwicky Transient Facility SN Ia Data Release 2 (ZTF DR2). In this paper, we detail the spectral properties of 482 SNe Ia near maximum light, up to a…

Multiple explosion mechanisms have been proposed to explain type Ia supernovae (SNe Ia). Empirical modelling tools have also been developed that allow for fast, customised modelling of individual SNe and direct comparisons between…

High Energy Astrophysical Phenomena · Physics 2024-05-09 M. R. Magee , L. Siebenaler , K. Maguire , K. Ackley , T. Killestein

Nowadays, the hyperspectral remote sensing imagery HSI becomes an important tool to observe the Earth's surface, detect the climatic changes and many other applications. The classification of HSI is one of the most challenging tasks due to…

Computer Vision and Pattern Recognition · Computer Science 2022-10-28 Hasna Nhaila , Asma Elmaizi , Elkebir Sarhrouni , Ahmed Hammouch

The Catalina Real-time Transient Survey (CRTS) carried out a public survey for optical transients between 2007 and 2019, discovering more than 16,000 transient candidates. Here we present the spectra and highlight the results of the…

High Energy Astrophysical Phenomena · Physics 2025-10-27 A. J. Drake , S. G. Djorgovski , M. J. Graham , D. Stern , A. A. Mahabal , M. Catelan , J. L. Prieto , S. Larson

Among the supernovae (SNe) that show strong interaction with the circumstellar medium, there is a rare subclass of Type Ia supernovae, SNe Ia-CSM, that show strong narrow hydrogen emission lines much like SNe IIn but on top of a diluted…

We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image recognition. Our model is trained on photometric information only, eliminating the need for…

Instrumentation and Methods for Astrophysics · Physics 2021-11-10 Helen Qu , Masao Sako , Anais Möller , Cyrille Doux

Accurate detection and analysis of traces of persistent organic pollutants in water is important in many areas, including environmental monitoring and food quality control, due to their long environmental stability and potential…

Machine Learning · Computer Science 2024-02-02 Vishnu Jayaprakash , Jae Bem You , Chiranjeevi Kanike , Jinfeng Liu , Christopher McCallum , Xuehua Zhang

We provide a detailed description of the Herschel-SPIRE Fourier Transform Spectrometer (FTS) Spectral Feature Finder (FF). The FF is an automated process designed to extract significant spectral features from SPIRE FTS data products.…

Instrumentation and Methods for Astrophysics · Physics 2020-06-24 R. Hopwood , I. Valtchanov , Locke D. Spencer , J. P. Scott , C. S. Benson , N. Marchili , N. Hladczuk , E. T. Polehampton , N. Lu , G. Makiwa , D. A. Naylor , B. G. Gom , G. Noble , M. J. Griffin

Many astronomical sources produce transient phenomena at radio frequencies, but the transient sky at low frequencies (<300 MHz) remains relatively unexplored. Blind surveys with new widefield radio instruments are setting increasingly…

As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the…

This paper introduces SS-MixNet, a lightweight and effective deep learning model for hyperspectral image (HSI) classification. The architecture integrates 3D convolutional layers for local spectral-spatial feature extraction with two…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Mohammed Q. Alkhatib

Using three magnified Type Ia supernovae (SNe Ia) detected behind CLASH clusters, we perform a first pilot study to see whether standardizable candles can be used to calibrate cluster mass maps created from strong lensing observations. Such…

The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of the survey. This stream will be distributed via community…

Instrumentation and Methods for Astrophysics · Physics 2024-12-18 B. M. O. Fraga , C. R. Bom , A. Santos , E. Russeil , M. Leoni , J. Peloton , E. E. O. Ishida , A. Möller , S. Blondin

Synthetic Aperture Radar SAR Automatic Target Recognition ATR is a key technique of remote-sensing image recognition which can be supported by deep neural networks The existing works of SAR ATR mostly focus on improving the accuracy of the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-02 Jacob Fein-Ashley , Tian Ye , Rajgopal Kannan , Viktor Prasanna , Carl Busart

Data-driven approaches play a crucial role in space computing, and our paper focuses on analyzing data to learn more about celestial objects. Photometric redshift, a measure of the shift of light towards the red part of the spectrum, helps…

Instrumentation and Methods for Astrophysics · Physics 2024-11-22 Krishna Chunduri , Mithun Mahesh

The early time observations of Type Ia supernovae (SNe Ia) play a crucial role in investigating and resolving longstanding questions about progenitor stars and the explosion mechanisms of these events. Colors of supernovae (SNe) in the…

Instrumentation and Methods for Astrophysics · Physics 2024-09-24 Zhang Lunwei , Wang Zhenyu , Liu Dezi , Fang Yuan , Chen Bingqiu , Kumar Brajesh , Er Xinzhong , Liu Xiaowei

There are still two problems in SDD causing some inaccurate results: (1) In the process of feature extraction, with the layer-by-layer acquisition of semantic information, local information is gradually lost, resulting into less…

Computer Vision and Pattern Recognition · Computer Science 2022-10-11 Aisha Chandio , Gong Gui , Teerath Kumar , Irfan Ullah , Ramin Ranjbarzadeh , Arunabha M Roy , Akhtar Hussain , Yao Shen

We present the Young Supernova Experiment Data Release 1 (YSE DR1), comprised of processed multi-color Pan-STARRS1 (PS1) griz and Zwicky Transient Facility (ZTF) gr photometry of 1975 transients with host-galaxy associations, redshifts,…

The SuperNova/Acceleration Probe (SNAP) will measure precisely the cosmological expansion history over both the acceleration and deceleration epochs and thereby constrain the nature of the dark energy that dominates our universe today. The…

Astrophysics · Physics 2007-05-23 G. Tarle