Tootfinder

#NutrientScience
1/7
In today's health-conscious society, the quest for natural ways to enhance wellness and longevity is continually expanding. Amidst various natural compounds touted for their health benefits, one that stands out distinctly is acemannan. This polysaccharide, extracted from the inner leaf gel of the Aloe Vera plant, has been the subject of numerous scientific st…

Experience deploying an analysis facility for the Rubin Observatory's Legacy Survey of Space and Time (LSST) data
Gabriele Mainetti, Fabio Hernandez, Fabrice Jammes, Quentin Le Boulc'h
https://arxiv.org/abs/2403.19321

Experience deploying an analysis facility for the Rubin Observatory's Legacy Survey of Space and Time (LSST) data
The Vera C. Rubin Observatory is preparing for the execution of the most ambitious astronomical survey ever attempted, the Legacy Survey of Space and Time (LSST). Currently in its final phase of construction in the Andes mountains in Chile and due to start operations in 2025 for 10 years, its 8.4-meter telescope will nightly scan the southern sky and collect images of the entire visible sky every 4 nights using a 3.2 Gigapixel camera, the largest imaging device ever built for astronomy. Automat…

#NutrientScience
1/7
In today's health-conscious society, the quest for natural ways to enhance wellness and longevity is continually expanding. Amidst various natural compounds touted for their health benefits, one that stands out distinctly is acemannan. This polysaccharide, extracted from the inner leaf gel of the Aloe Vera plant, has been the subject of numerous scientific st…

Interacting light thermal-relic dark matter: self-consistent cosmological bounds
Rui An, Kimberly K. Boddy, Vera Gluscevic
https://arxiv.org/abs/2402.14223

Interacting light thermal-relic dark matter: self-consistent cosmological bounds
We analyze cosmic microwave background (CMB) data to constrain the mass and interaction strengths of thermally-produced dark matter (DM) in a self-consistent manner, simultaneously taking into account the cosmological effects of its mass and interactions. The presence of a light thermal-relic particle contributes non-negligibly to the radiation density during Big Bang Nucleosynthesis (BBN), altering the light-element yields, as well as the the effective number of relativistic particle species. …

Kilonova parameters estimation with LSST at Vera C. Rubin Observatory
Fabio Ragosta, Tomas Ahumada, Silvia Piranomonte, Igor Andreoni, Andrea Melandri, Alberto Colombo, Michael W. Coughlin
https://arxiv.org/abs/2403.14016

Kilonova parameters estimation with LSST at Vera C. Rubin Observatory
The up-coming Vera Rubin Observatory's Legacy Survey of Space and Time (LSST) opens a new opportunity to rapidly survey the southern Sky at optical wavelenghts (\ie ugrizy bands). In this study, we aim to test the possibility of using LSST observations to constrain the mass and velocity of different KN ejecta components from the observation of a combined set of light curves from GRB afterglows and KNæ. We used a sample of simulated light curves from the aforementioned events as they would have…

Review on the matching conditions for the tidal problem: towards the application to more general contexts
Eneko Aranguren, Ra\"ul Vera
https://arxiv.org/abs/2404.15164

Review on the matching conditions for the tidal problem: towards the application to more general contexts
The tidal problem is used to obtain the tidal deformability (or Love number) of stars. The semi-analytical study is usually treated in perturbation theory as a first order perturbation problem over a spherically symmetric background configuration consisting of a stellar interior region matched across a boundary to a vacuum exterior region that models the tidal field. The field equations for the metric and matter perturbations at the interior and exterior regions are complemented with correspond…

A Science4Peace initiative: Alleviating the consequences of sanctions in international scientific cooperation
A. Ali, M. Barone, S. Brentjes, D. Britzger, M. Dittmar, T. Ekel\"of, J. Ellis, S. Fonseca de Souza, A. Glazov, A. V. Gritsan, R. Hoffmann, H. Jung, M. Klein, V. Klyukhin, V. Korbel, P. Kokkas, P. Kostka, U. Langenegger, J. List, N. Raicevic, A. Rostovtsev, A. Sabio Vera, M. Spiro, G. Tonelli, P. van Mechelen, J. Vigen

A Science4Peace initiative: Alleviating the consequences of sanctions in international scientific cooperation
The armed invasion of Ukraine by the Russian Federation has adversely affected the relations between Russia and Western countries. Among other aspects, it has put scientific cooperation and collaboration into question and changed the scientific landscape significantly. Cooperation between some Western institutions and their Russian and Belarusian partners were put on hold after February 24, 2022. The CERN Council decided at its meeting in December 2023 to terminate cooperation agreements with R…

ChildCIdbLong: Longitudinal Child-Computer Interaction Database and Quantitative Analysis for Child Development
Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Jaime Herreros-Rodriguez
https://arxiv.org/abs/2404.06919 …

ChildCIdbLong: Longitudinal Child-Computer Interaction Database and Quantitative Analysis for Child Development
This article provides a comprehensive overview of recent research in the area of Child-Computer Interaction (CCI). The main contributions of the present article are two-fold. First, we present a novel longitudinal CCI database named ChildCIdbLong, which comprises over 600 children aged 18 months to 8 years old, acquired continuously over 4 academic years (2019-2023). As a result, ChildCIdbLong comprises over 12K test acquisitions over a tablet device. Different tests are considered in ChildCIdb…

Machine Learning LSST 3x2pt analyses -- forecasting the impact of systematics on cosmological constraints using neural networks
Supranta S. Boruah, Tim Eifler, Vivian Miranda, Elyas Farah, Jay Motka, Elisabeth Krause, Xiao Fang, Paul Rogozenski, The LSST Dark Energy Science Collaboration
https://arxiv.org/abs/2403.11797

Machine Learning LSST 3x2pt analyses -- forecasting the impact of systematics on cosmological constraints using neural networks
Validating modeling choices through simulated analyses and quantifying the impact of different systematic effects will form a major computational bottleneck in the preparation for 3$\times$2 analysis with Stage-IV surveys such as Vera Rubin Observatory's Legacy Survey of Space and Time (LSST). We can significantly reduce the computational requirements by using machine learning based emulators, which allow us to run fast inference while maintaining the full realism of the data analysis pipeline.…

This https://arxiv.org/abs/2311.07455 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A Bayesian Approach to Strong Lens Finding in the Era of Wide-area Surveys
The arrival of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), Euclid-Wide and Roman wide area sensitive surveys will herald a new era in strong lens science in which the number of strong lenses known is expected to rise from $\mathcal{O}(10^3)$ to $\mathcal{O}(10^5)$. However, current lens-finding methods still require time-consuming follow-up visual inspection by strong-lens experts to remove false positives which is only set to increase with these surveys. In this wor…