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In the last few years, there has been significant progress in the development of machine learning methods tailored to astrophysics and cosmology. We have recently applied one of these, namely, the neural network bundle method, to the…

宇宙学与河外天体物理 · 物理学 2024-06-10 Augusto T. Chantada , Susana J. Landau , Pavlos Protopapas , Claudia G. Scóccola , Cecilia Garraffo

Measurement of the growth rate of structures ($\fsig$) with Type Ia supernovae (\sns) will improve our understanding of the nature of dark energy and enable tests of general relativity. In this paper, we generate simulations of the 10 year…

The most precise local measurements of $H_0$ rely on observations of Type Ia supernovae (SNe Ia) coupled with Cepheid distances to SN Ia host galaxies. Recent results have shown tension comparing $H_0$ to the value inferred from CMB…

宇宙学与河外天体物理 · 物理学 2018-01-26 Suhail Dhawan , Saurabh W. Jha , Bruno Leibundgut

In the procedure of constraining the cosmological parameters with the observational Hubble data and the type Ia supernova data, the combination of Masked Autoregressive Flow and Denoising Autoencoder can perform a good result. The above…

宇宙学与河外天体物理 · 物理学 2023-03-22 Jie-Feng Chen , Yu-Chen Wang , Tingting Zhang , Tong-Jie Zhang

I review the use of Type Ia supernovae (SNe Ia) for cosmological distance determinations. Low-redshift SNe Ia (z <~ 0.1) demonstrate that the Hubble expansion is linear, that H_0 = 65 +/- 2 (statistical) km/s/Mpc, and that the properties of…

天体物理学 · 物理学 2007-05-23 Alexei V. Filippenko

The light from distant supernovae (SNe) can be magnified through gravitational lensing when a foreground galaxy is located along the line of sight. This line-up allows for detailed studies of SNe at high redshift that otherwise would not be…

高能天体物理现象 · 物理学 2017-07-26 T. Petrushevska , R. Amanullah , M. Bulla , M. Kromer , R. Ferretti , A. Goobar , S. Papadogiannakis

Aims: We present a quantitative study of a new data set of high redshift Type Ia supernovae spectra, observed at the Gemini telescopes during the first 34 months of the Supernova Legacy Survey. During this time 123 supernovae candidates…

We present an empirical method that uses multicolor light curve shapes (MLCS) to estimate the luminosity, distance, and total line-of-sight extinction of Type Ia supernovae (SN Ia). The empirical correlation between the MLCS and the…

天体物理学 · 物理学 2009-07-09 Adam Riess , William Press , Robert Kirshner

We present in this paper a focusing gamma-ray telescope that has only one goal: addressing the true nature of Type Ia Supernovae (SNe Ia). This telescope is based on a Laue lens focusing a 100-keV wide energy band centered on 847 keV, which…

天体物理仪器与方法 · 物理学 2011-09-08 Nicolas M. Barrière , John A Tomsick , Steven E. Boggs , Peter von Ballmoos , Julien Rousselle

This paper presents a new model-independent constraint on the Hubble constant ($H_0$) by anchoring relative distances from Type Ia supernovae (SNe Ia) observations to absolute distance measurements from time-delay strong Gravitational…

宇宙学与河外天体物理 · 物理学 2025-03-13 L. R. Colaço

The errors of cosmological data generated from complex processes, such as the observational Hubble parameter data (OHD) and the Type Ia supernova (SN Ia) data, cannot be accurately modeled by simple analytical probability distributions,…

宇宙学与河外天体物理 · 物理学 2021-06-17 Yu-Chen Wang , Yuan-Bo Xie , Tong-Jie Zhang , Hui-Chao Huang , Tingting Zhang , Kun Liu

We investigate how the cosmological constraints from SNe Ia are improved by including the effects of weak-lensing convergence. To do so, we introduce the lognormal function as the convergence PDF modeling the lensing scatter of SN Ia…

宇宙学与河外天体物理 · 物理学 2019-06-26 Ryuichiro Hada , Toshifumi Futamase

We introduce a method for identifying "twin" Type Ia supernovae, and using them to improve distance measurements. This novel approach to Type Ia supernova standardization is made possible by spectrophotometric time series observations from…

Recurrent Neural Networks (RNNs) are vital for sequential data processing. Long Short-Term Memory Autoencoders (LSTM-AEs) are particularly effective for unsupervised anomaly detection in time-series data. However, inherent sequential…

硬件体系结构 · 计算机科学 2026-03-17 Aimilios Leftheriotis , Dimosthenis Masouros , Dimitrios Soudris , George Theodoridis

Modeling of strong gravitational lenses is a necessity for further applications in astrophysics and cosmology. Especially with the large number of detections in current and upcoming surveys such as the Rubin Legacy Survey of Space and Time…

天体物理仪器与方法 · 物理学 2023-03-30 S. Schuldt , R. Cañameras , Y. Shu , S. H. Suyu , S. Taubenberger , T. Meinhardt , L. Leal-Taixé

We present photometric properties and distance measurements of 252 high redshift Type Ia supernovae (0.15 < z < 1.1) discovered during the first three years of the Supernova Legacy Survey (SNLS). These events were detected and their…

The Foundation Supernova Survey aims to provide a large, high-fidelity, homogeneous, and precisely-calibrated low-redshift Type Ia supernova (SN Ia) sample for cosmology. The calibration of the current low-redshift SN sample is the largest…

We present deep Hubble Space Telescope imaging at the locations of four, potentially hostless, long-faded Type Ia supernovae (SNe Ia) in low-redshift, rich galaxy clusters that were identified in the Multi-Epoch Nearby Cluster Survey.…

星系天体物理 · 物理学 2015-07-15 Melissa L. Graham , David J. Sand , Dennis Zaritsky , Chris J. Pritchet

Upcoming photometric surveys will discover tens of thousands of Type Ia supernovae (SNe Ia), vastly outpacing the capacity of our spectroscopic resources. In order to maximize the science return of these observations in the absence of…

宇宙学与河外天体物理 · 物理学 2023-09-11 Helen Qu , Masao Sako
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