Tootfinder

Bayesian synthesis of astrometric wobble and total light curves in close binary supermassive black holes
Andjelka B. Kovacevic, Yu-Yang Songsheng, Jian-Min Wang, Luka C. Popovic
https://arxiv.org/abs/2404.17435

Bayesian synthesis of astrometric wobble and total light curves in close binary supermassive black holes
We test the potential of Bayesian synthesis of upcoming multi-instrument data to extract orbital parameters and individual light curves of close binary supermassive black holes (CB-SMBH) with subparsec separations. Next generation (ng) interferometers, will make possible the observation of astrometric wobbles in CB-SMBH. Combining them with periodic variable time-domain data from surveys like the Vera C. Rubin Legacy Survey of Space and Time (LSST), allows for a more information on CB-SMBH cand…

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…

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…

Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
Juan Carlos Ruiz-Garcia, Carlos Hojas, Ruben Tolosana, Ruben Vera-Rodriguez, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Jaime Herreros-Rodriguez
https://arxiv.org/abs/2403.04574

Children Age Group Detection based on Human-Computer Interaction and Time Series Analysis
This article proposes a novel Children-Computer Interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series generated from the interaction of the children with mobile devices. In particular, we extract a set of 25 time series related to spatial, pressure, and kinematic information of the children interaction while colouring a tree through a pen stylus tablet, a specific test from the large-scale public ChildCIdb database. …

Transient Classifiers for Fink: Benchmarks for LSST
B. M. O. Fraga, C. R. Bom, A. Santos, E. Russeil, M. Leoni, J. Peloton, E. E. O. Ishida, A. M\"oller, S. Blondin
https://arxiv.org/abs/2404.08798

Transient Classifiers for Fink: Benchmarks for LSST
The upcoming Legacy Survey of Space and Time (LSST) at the Vera Rubin Observatory is expected to detect a few million transients per night, which will generate a live alert stream during the entire 10 years of the survey. This will be distributed via community brokers whose task is to select subsets of the stream and direct them to scientific communities. Given the volume and complexity of data, machine learning (ML) algorithms will be paramount for this task. We present the infrastructure test…

Bright Star Subtraction Pipeline for LSST: Progress Review
Amir E. Bazkiaei, Lee S. Kelvin, Sarah Brough, Simon J. O'Toole, Aaron Watkins, Morgen A. Schmitz
https://arxiv.org/abs/2404.04802

Bright Star Subtraction Pipeline for LSST: Progress Review
We present the Bright Star Subtraction (BSS) pipeline for the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). This pipeline generates an extended PSF model using observed stars and subtracts the model from the bright stars in LSST data. When testing the pipeline on Hyper Suprime-Cam (HSC) data, we find that the shape of the extended PSF model depends on the location of the detector on the camera's focal plane. The closer a detector is to the edge of the focal plane, the less…