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Large photometric surveys with the aim of identifying many Type Ia supernovae (SNe) at moderate redshift are challenged in separating these SNe from other SN types. We are motivated to identify Type Ia SNe based only on broadband…

Astrophysics · Physics 2008-11-26 Benjamin D. Johnson , Arlin P. S. Crotts

We examine the correlation between supernova host galaxy properties and their residuals on the Hubble diagram. We use supernovae discovered during the Sloan Digital Sky Survey II - Supernova Survey, and focus on objects at a redshift of z <…

In the era of large astronomical surveys, photometric classification of supernovae (SNe) has become an important research field due to limited spectroscopic resources for candidate follow-up and classification. In this work, we present a…

Instrumentation and Methods for Astrophysics · Physics 2016-12-14 A. Möller , V. Ruhlmann-Kleider , C. Leloup , J. Neveu , N. Palanque-Delabrouille , J. Rich , R. Carlberg , C. Lidman , C. Pritchet

We present a new methodology to analyse in a comprehensive way large-scale and supernovae (or any other distance indicator) surveys. Our approach combines galaxy and supernova position and redshift data with supernova peculiar velocities,…

Cosmology and Nongalactic Astrophysics · Physics 2022-03-31 Miguel Quartin , Luca Amendola , Bruno Moraes

We present preliminary results of a follow-up survey which aims to characterise in detail those galaxies which hosted Type Ia supernovae found by the Supernova Cosmology Project (SCP). Our survey has two components: Hubble Space Telescope…

Astrophysics · Physics 2007-05-23 Richard Ellis , Mark Sullivan

Spectroscopy represents the ideal observational method to maximally extract information from galaxies regarding their star formation and chemical enrichment histories. However, absorption spectra of galaxies prove rather challenging at high…

Instrumentation and Methods for Astrophysics · Physics 2025-10-10 Oliver Camilleri , Zahra Sharbaf , Ignacio Ferreras

This paper proposes a spatial feature extraction method based on energy of the features for classification of the hyperspectral data. A proposed orthogonal filter set extracts spatial features with maximum energy from the principal…

Computer Vision and Pattern Recognition · Computer Science 2018-07-25 Hamid Reza Shahdoosti

This is the second paper of a series in which we present new measurements of the observed rates of supernovae (SNe) in the local Universe, determined from the Lick Observatory Supernova Search (LOSS). In this paper, a complete SN sample is…

Narrow absorption features in nearby supernova (SN) spectra are a powerful diagnostic of the slow-moving material in the line of sight: they are extensively used to infer dust extinction from the host galaxies, and they can also serve in…

We present an expanded template library for the supernova identification (SNID) software, along with updated source files that make it easy to merge our templates - and other major SNID libraries - into the base code. This expansion, dubbed…

High Energy Astrophysical Phenomena · Physics 2025-05-26 Dylan Magill , Michael D. Fulton , Matt Nicholl , Stephen J. Smartt , Charlotte R. Angus , Shubham Srivastav , Ken W. Smith

Optimal extraction is a key step in processing the raw images of spectra as registered by two-dimensional detector arrays to a one-dimensional format. Previously reported algorithms reconstruct models for a mean one-dimensional spatial…

Instrumentation and Methods for Astrophysics · Physics 2015-06-18 M. Zechmeister , G. Anglada-Escudé , A. Reiners

We propose a new point-spread function (PSF) deconvolution algorithm for images of galaxies hosting an active galactic nucleus (AGN), designed to simultaneously enhance the spatial resolution of the host galaxy and remove the bright central…

Astrophysics of Galaxies · Physics 2026-05-15 Ren Kawase , Takatoshi Shibuya , Kazunori Matsuda

The 5-year project Supernova Legacy Survey (SNLS) delivers $\sim 100$ Type-Ia supernovae (SNe Ia) per year, in the redshift range $0.3 < z < 1.0$, with well-sampled $g'r'i'z'$ lightcurves. The SNLS Collaboration uses the 1 deg$^2$ Megacam…

Astrophysics · Physics 2007-05-23 N. Regnault

Hyperspectral images are crucial for many research works. Spectral super-resolution (SSR) is a method used to obtain high spatial resolution (HR) hyperspectral images from HR multispectral images. Traditional SSR methods include…

Image and Video Processing · Electrical Eng. & Systems 2020-12-09 Jiang He , Jie Li , Qiangqiang Yuan , Huanfeng Shen , Liangpei Zhang

We present a simple and well defined prescription to compare absorption lines in supernova (SN) spectra with lists of transitions drawn from the National Institute of Standards and Technology (NIST) database. The method is designed to be…

High Energy Astrophysical Phenomena · Physics 2019-09-10 Avishay Gal-Yam

From SDSS commissioning photometric and spectroscopic data, we investigate the utility of photometric redshift techniques to the task of estimating QSO redshifts. We consider empirical methods (e.g. nearest-neighbor searches and polynomial…

Wide-field slitless spectroscopic galaxy surveys, such as the one performed by the upcoming Chinese Space Station Survey Telescope (CSST), are crucial for precision cosmology but present formidable data analysis challenges. Because spectra…

Instrumentation and Methods for Astrophysics · Physics 2026-05-19 Xingchen Zhou , Yan Gong , Xin Zhang , Xian-Min Meng , Haitao Miao , Run Wen , Nan Li

Type Ia supernovae provide direct evidence for an accelerating universe, and for the existence of "dark energy" driving this expansion. The Supernova Legacy Survey (SNLS) will deliver many hundreds of SNIa detections, and well-sampled…

Astrophysics · Physics 2007-05-23 C. J. Pritchet , SNLS Collaboration

This thesis proposes spatio-spectral techniques for hyperspectral image analysis. Adaptive spatio-spectral support and variable exposure hyperspectral imaging is demonstrated to improve spectral reflectance recovery from hyperspectral…

Computer Vision and Pattern Recognition · Computer Science 2014-07-30 Zohaib Khan