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Machine learning, satellites or local sensors are key factors for a sustainable and resource-saving optimisation of agriculture and proved its values for the management of agricultural land. Up to now, the main focus was on the enlargement…

Machine Learning · Computer Science 2022-04-06 Michael L. Marszalek , Bertrand Le Saux , Pierre-Philippe Mathieu , Artur Nowakowski , Daniel Springer

Extrasolar planets observation and characterization by high contrast imaging instruments is set to be a very important subject in observational astronomy. Dedicated instruments are being developed to achieve this goal with very high…

Astrophysics · Physics 2009-11-13 Arthur Vigan , Maud Langlois , Claire Moutou , Kjetil Dohlen

This project presents the development and implementation of a compact spectrometer, named SPECTRUMMATE, tailored for small telescopes. Small telescopes offer several advantages: they are cost-effective, occupy less space, and are simpler to…

Instrumentation and Methods for Astrophysics · Physics 2025-11-25 Hien Phan-Thanh , Nguyen Nguyen-Duc , Thuy Le-Quang , Tobias C. Hinse , Quang Nguyen-Luong

The Large Synoptic Survey Telescope (LSST) is an ambitious astronomical survey with a similarly ambitious Data Management component. Data Management for LSST includes processing on both nightly and yearly cadences to generate transient…

System-level test, or SLT, is an increasingly important process step in today's integrated circuit testing flows. Broadly speaking, SLT aims at executing functional workloads in operational modes. In this paper, we consolidate available…

The SemiConductor Tracker (SCT) together with the Pixel detector and the Transition Radiation Tracker (TRT) form the central tracking system of the ATLAS experiment at the LHC. It consists of single-sided microstrip silicon sensors, which…

Instrumentation and Detectors · Physics 2019-08-14 Vasiliki A. Mitsou

The Solar eruptioN Integral Field Spectrograph (SNIFS) is a solar-gazing spectrograph scheduled to fly in the summer of 2025 on a NASA sounding rocket. Its goal is to view the solar chromosphere and transition region at a high cadence (1s)…

As researchers increasingly turn to large language models (LLMs) to generate synthetic survey data, less attention has been paid to alternative AI paradigms given environmental costs of LLMs. This paper introduces Survey Transfer Learning…

Artificial Intelligence · Computer Science 2025-11-04 Ali Amini

In this work, we describe the optical properties of the single photoelectron (SPE) calibration system designed for NectarCAM, a camera proposed for the Medium Sized Telescopes (MST) of the Cherenkov Telescope Array (CTA). One of the goals…

The Swift Burst Alert Telescope (BAT) is a coded aperture gamma-ray instrument with a large field of view that was designed to detect and localize transient events. When a transient is detected, either on-board or externally, the BAT saves…

The Spectrometer/Telescope for Imaging X-rays (STIX) is a hard X-ray imaging spectroscopy device to be mounted in the Solar Orbiter cluster with the aim of providing images and spectra of solar flaring regions at different photon energies…

Solar and Stellar Astrophysics · Physics 2014-12-23 Sara Giordano , Nicola Pinamonti , Michele Piana , Anna Maria Massone

Modern Earth observation relies on satellites to capture detailed surface properties. Yet, many phenomena that affect humans and ecosystems unfold in the atmosphere close to the surface. Near-ground sensors provide accurate measurements of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Sofiane Bouaziz , Adel Hafiane , Raphael Canals , Rachid Nedjai

The extension of on-board data processing capabilities is an attractive option to reduce telemetry for scientific instruments on deep space missions. The challenges that this presents, however, require a comprehensive software system, which…

The workhorse instruments of the 8-10m class observatories have become their multi-object spectrographs (MOS), providing comprehensive follow-up to both ground-based and space-borne imaging. With the advent of deeper imaging surveys from,…

Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained language model based on BERT (Devlin et al., 2018) to address the lack of high-quality, large-scale…

Computation and Language · Computer Science 2019-09-12 Iz Beltagy , Kyle Lo , Arman Cohan

We present iSLAT (the Interactive Spectral-Line Analysis Tool), a python-based graphical tool that allows users to interactively explore and manually fit line emission observed in molecular spectra. iSLAT adopts a simple slab model that…

Instrumentation and Methods for Astrophysics · Physics 2024-02-07 Evan Jellison , Matthew Johnson , Andrea Banzatti , Simon Bruderer

Detecting Earth twins remains challenging because their shallow, long-period transits are difficult to distinguish from background noise. Motivated by the challenge, we developed Segmented-Polynomial-fitting Least Squares (SPLS), a new…

Earth and Planetary Astrophysics · Physics 2025-12-03 Shuyue Zheng , Fabo Feng , Yicheng Rui

We propose a tunable laser-based satellite-mounted spectrophotometric and absolute flux calibration system, to be utilized by ground- and space-based telescopes. As spectrophotometric calibration may play a significant role in the accuracy…

Astrophysics · Physics 2007-05-23 Justin Albert , William Burgett , Jason Rhodes

We present end-to-end simulations of SCALES, the third generation thermal-infrared diffraction limited imager and low/med-resolution integral field spectrograph (IFS) being designed for Keck. The 2-5 micron sensitivity of SCALES enables…

Instrumentation and Methods for Astrophysics · Physics 2021-10-29 Zackery Briesemeister , Steph Sallum , Andrew Skemer , R. Deno Stelter , Philip Hinz , Timothy Brandt