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Estimates of galaxy distances based on indicators that are independent of cosmological redshift are fundamental to astrophysics. Researchers use them to establish the extragalactic distance scale, to underpin estimates of the Hubble…

As the first successful technique used to detect exoplanets orbiting distant stars, the Radial Velocity Method aims to detect a periodic Doppler shift in a star's spectrum. We introduce a new, mathematically rigorous, approach to detect…

Earth and Planetary Astrophysics · Physics 2020-05-29 Parker Holzer , Jessi Cisewski-Kehe , Debra Fischer , Lily Zhao

We present a fast algorithm for computing the diffracted field from arbitrary binary (sharp-edged) planar apertures and occulters in the scalar Fresnel approximation, for up to moderately high Fresnel numbers ($\lesssim 10^3$). It uses a…

Instrumentation and Methods for Astrophysics · Physics 2020-12-18 Alex H. Barnett

Neural Radiance Fields (NeRF), an AI-driven approach for 3D view reconstruction, has demonstrated impressive performance, sparking active research across fields. As a result, a range of advanced NeRF models has emerged, leading on-device…

Hardware Architecture · Computer Science 2025-05-13 Seock-Hwan Noh , Banseok Shin , Jeik Choi , Seungpyo Lee , Jaeha Kung , Yeseong Kim

Current precision in radial velocity (RV) measurements of binary stars reaches $\sim$2 ms$^{-1}$. This level of precision means that RV models have to take into account additional non-Keplerian effects such as tidal and rotational…

Instrumentation and Methods for Astrophysics · Physics 2015-06-15 P. Sybilski , M. Konacki , S. K. Kozłowski , K. G. Hełminiak

PARAS is a fiber-fed stabilized high-resolution cross-dispersed echelle spectrograph, located on the 1.2 m telescope in Mt. Abu India. Designed for exoplanet detection, PARAS is capable of single-shot spectral coverage of 3800 - 9600 A, and…

Instrumentation and Methods for Astrophysics · Physics 2016-08-24 Arpita Roy , Abhijit Chakraborty , Suvrath Mahadevan , Priyanka Chaturvedi , Neelam J. S. S. V. Prasad , Vishal Shah , F. M. Pathan , B. G. Anandarao

[Abriged] Astronomical Wide Field Imaging performed with new large format CCD detectors poses data reduction problems of unprecedented scale which are difficult to deal with traditional interactive tools. We present here NExt (Neural…

Astrophysics · Physics 2009-10-31 S. Andreon , G. Gargiulo , G. Longo , R. Tagliaferri , N. Capuano

Nowadays there is compelling evidence for the existence of dark matter in the Universe. A general consensus has been expressed on the need for a directional sensitive detector to confirm, with a complementary approach, the candidates found…

The discovery and characterization of exoplanets around nearby stars is driven by profound scientific questions about the uniqueness of Earth and our Solar System, and the conditions under which life could exist elsewhere in our Galaxy.…

The NOMAD experiment has been designed to search for neutrino-tau appearance in the CERN wide-band neutrino beam . The detector is now completed and has been further improved. All subdetectors are working well. The experiment, where the…

High Energy Physics - Phenomenology · Physics 2010-12-23 Marco Laveder

This work explores Doppler information from a millimetre-Wave (mm-W) Frequency-Modulated Continuous-Wave (FMCW) scanning radar to make odometry estimation more robust and accurate. Firstly, doppler information is added to the scan masking…

Robotics · Computer Science 2023-12-15 Fraser Rennie , David Williams , Paul Newman , Daniele De Martini

This paper examines the ability of greedy algorithms to estimate a block sparse parameter vector from noisy measurements. In particular, block sparse versions of the orthogonal matching pursuit and thresholding algorithms are analyzed under…

Information Theory · Computer Science 2015-05-19 Zvika Ben-Haim , Yonina C. Eldar

Radar ensures robust sensing capabilities in adverse weather conditions, yet challenges remain due to its high inherent noise level. Existing radar odometry has overcome these challenges with strategies such as filtering spurious points,…

Robotics · Computer Science 2025-02-25 Wooseong Yang , Hyesu Jang , Ayoung Kim

Interpreting the observations of exoplanet atmospheres to constrain physical and chemical properties is typically done using Bayesian retrieval techniques. Because these methods require many model computations, a compromise is made between…

Earth and Planetary Astrophysics · Physics 2024-01-10 Francisco Ardévol Martínez , Michiel Min , Daniela Huppenkothen , Inga Kamp , Paul I. Palmer

We use $N_{t}$, the number of exoplanets observed in time $t$, as a science metric to study direct-search missions like Terrestrial Planet Finder. In our model, $N$ has 27 parameters, divided into three categories: 2 astronomical, 7…

Instrumentation and Methods for Astrophysics · Physics 2015-06-18 Robert A. Brown

Exoplanets mass measurements will be a critical next step to assess the habitability of Earth-like planets: a key aspect of the 2020 vision in the previous decadal survey and also central to NASA's strategic priorities. Precision astrometry…

Instrumentation and Methods for Astrophysics · Physics 2018-03-14 Eduardo Bendek , Mark Marley , Michael Shao , Olivier Guyon , Ruslan Belikov , Peter Tuthill

Energy-resolved neutron imaging at a pulsed source utilizes the energy-dependent neutron transmission measured via time-of-flight to extract quantitative information about the internal microstructure of an object. At the RADEN instrument at…

The EXtreme PREcision Spectrograph (EXPRES) is an environmentally stabilized, fiber-fed, $R=137,500$, optical spectrograph. It was recently commissioned at the 4.3-m Lowell Discovery Telescope (LDT) near Flagstaff, Arizona. The spectrograph…

When incorporating deep neural networks into robotic systems, a major challenge is the lack of uncertainty measures associated with their output predictions. Methods for uncertainty estimation in the output of deep object detectors (DNNs)…

Computer Vision and Pattern Recognition · Computer Science 2019-09-17 Ali Harakeh , Michael Smart , Steven L. Waslander

Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful tools for 3D reconstruction and SLAM tasks. However, their performance depends heavily on accurate camera pose priors. Existing approaches attempt to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Qingsong Yan , Qiang Wang , Kaiyong Zhao , Jie Chen , Bo Li , Xiaowen Chu , Fei Deng
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