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Visual prompt-based methods have seen growing interest in incremental learning (IL) for image classification. These approaches learn additional embedding vectors while keeping the model frozen, making them efficient to train. However, no…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Matthias Neuwirth-Trapp , Maarten Bieshaar , Danda Pani Paudel , Luc Van Gool

We performed extensive tests of the accuracy of atmospheric parameter determination for FGK stars based on the spectrum fitting procedure Spectroscopy Made Easy (SME). Our stellar sample consists of 13 objects, including the Sun, in the…

Solar and Stellar Astrophysics · Physics 2016-01-27 T. Ryabchikova , N. Piskunov , Yu. Pakhomov , V. Tsymbal , A. Titarenko , T. Sitnova , S. Alexeeva , L. Fossati , L. Mashonkina

The parabolic structure of the secondary or conjugate spectra of pulsars is often the result of isolated one-dimensional (or at least highly anisotropic) lenses in the ISM. The curvature of these features contains information about the…

Instrumentation and Methods for Astrophysics · Physics 2023-07-11 Daniel Baker , Walter Brisken , Marten H. van Kerkwijk , Robert Main , Ue-Li Pen , Tim Sprenger , Olaf Wucknitz

High-contrast scattered light observations have revealed the surface morphology of several dozens of protoplanetary disks at optical and near-infrared wavelengths. Inclined disks offer the opportunity to measure part of the phase function…

Earth and Planetary Astrophysics · Physics 2016-12-07 T. Stolker , C. Dominik , M. Min , A. Garufi , G. D. Mulders , H. Avenhaus

Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse…

Computer Vision and Pattern Recognition · Computer Science 2012-12-04 Prasad Sudhakar , Laurent Jacques , Xavier Dubois , Philippe Antoine , Luc Joannes

We present the first provable method for identifying symmetric linear dynamical systems (LDS) with accuracy guarantees that are independent of the systems' state dimension or effective memory. Our approach builds upon recent work that…

Machine Learning · Computer Science 2025-05-26 Devan Shah , Shlomo Fortgang , Sofiia Druchyna , Elad Hazan

The upcoming Chinese Space Station Telescope (CSST) slitless spectroscopic survey poses a challenge of flux calibration, which requires a large number of flux-standard stars. In this work, we design an uncertainty-aware residual attention…

Instrumentation and Methods for Astrophysics · Physics 2024-01-25 Lin Yang , Haibo Yuan , Fuqing Duan , Ruoyi Zhang , Bowen Huang , Kai Xiao , Shuai Xu , Jinming Zhang

The determination of the supernova (SN) rate is based not only on the number of detected events, but also on the properties of the parent galaxy population. This is the first paper of a series aimed at obtaining new, refined, SN rates from…

Cosmology and Nongalactic Astrophysics · Physics 2010-08-17 A. A. Hakobyan , A. R. Petrosian , G. A. Mamon , B. McLean , D. Kunth , M. Turatto , E. Cappellaro , F. Mannucci , R. J. Allen , N. Panagia , M. Della Valle

NASA's Nancy Grace Roman Space Telescope (Roman) will provide an opportunity to study dark energy with unprecedented precision and accuracy using several techniques, including measurements of high-$z$ Type Ia Supernovae (SNe Ia, $z \lesssim…

Instrumentation and Methods for Astrophysics · Physics 2026-04-17 Lauren Aldoroty , Daniel Scolnic , Arun Kannawadi , Rob Knop , Benjamin Rose , Rebekah Hounsell , Michael Troxel

In light refraction between two transparent media, Snell's law describes the relationship between the incident angle and refraction angle. The refractive index is usually determined from Snell's law using the minimum deviation angle through…

Optics · Physics 2022-01-11 Shosuke Sasaki

The rarity of young massive stars combined with the fact that they are often deeply embedded has limited the understanding of their formation. Ground based mid-infrared (IR) interferometry is one way of securing the spatial resolution…

Solar and Stellar Astrophysics · Physics 2019-05-08 A. J. Frost , R. D. Oudmaijer , W. J. de Wit , S. L. Lumsden

One of the most important properties of a galaxy is the total stellar mass, or equivalently the stellar mass-to-light ratio (M/L). It is not directly observable, but can be estimated from stellar population synthesis. Currently, a galaxy's…

Astrophysics of Galaxies · Physics 2019-04-24 Wouter Dobbels , Serge Krier , Stephan Pirson , Sébastien Viaene , Gert De Geyter , Samir Salim , Maarten Baes

In the two decades since the first extra-solar planet was discovered, the detection and characterization of extra-solar planets has become one of the key endeavors in all of modern science. Recently direct detection techniques such as…

The Herschel Orion Protostar Survey obtained well-sampled 1.2 - 870 micron spectral energy distributions (SEDs) of over 300 protostars in the Orion molecular clouds, home to most of the young stellar objects (YSOs) in the nearest 500 pc. We…

Large numbers of supernovae (SNe) have been discovered in recent years, and many more will be found in the near future. Once discovered, further study of a SN and its possible use as an astronomical tool (e.g., as a distance estimator)…

With the rapid development of asteroseismology thanks to space-based photometry missions such as CoRoT, Kepler, TESS, and in the future, PLATO, and the use of inversion techniques, quasi-model-independent constraints on the stellar…

Solar and Stellar Astrophysics · Physics 2022-07-20 J. Bétrisey , G. Buldgen

Context. Strong lensing mass measurements require the knowledge of the redshift of both the lens and the source galaxy. Traditionally, spectroscopic redshifts are used for this purpose. Upcoming surveys, however, will lead to the discovery…

Astrophysics of Galaxies · Physics 2022-04-15 Alessandro Sonnenfeld

In this paper we advance the simple analytic photometric redshift estimator for Type Ia supernovae (SNe Ia) proposed by Wang (2007), and use it to study simulated SN Ia data. We find that better than 0.5% accuracy in z_phot (with…

Astrophysics · Physics 2009-11-13 Yun Wang , Gautham Narayan , Michael Wood-Vasey

Intrinsic image decomposition (IID) is the task that decomposes a natural image into albedo and shade. While IID is typically solved through supervised learning methods, it is not ideal due to the difficulty in observing ground truth albedo…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Shogo Sato , Yasuhiro Yao , Taiga Yoshida , Takuhiro Kaneko , Shingo Ando , Jun Shimamura
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