Tootfinder

Seriously, though, USians, before you tell someone from the Middle East to “check your privilege”, why don’t you open up your US passport, have a good look at it, and then check your own goddamn privilege before putting your whole foot in your mouth publicly? Maybe also look up intersectionality while you’re at it and realise that it’s not a fucking pissing contest. I’ll take lessons in privilege from you when every last one of you conscientiously objects to bombing the shit out of our side …

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 5. Extensions beyond the standard modelling of theoretical probes and systematic effects
Collaboration, Goh, Nouri-Zonoz, Pamuk, Ballardini, Bose, Ca\~nas-Herrera, Casas, Franco-Abell\'an, Ili\'c, Keil, Kunz, Le Brun, Lepori, Martinelli, Sakr, Sorrenti, Teixeira, Tutusaus, Blot, Bonici, Bonvin, Camera, Cardone, Carrilho, Di Domizio, Durrer, Farrens, Beauchamps, Joudaki, Moretti, Pezzotta, S\'anchez, …

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 5. Extensions beyond the standard modelling of theoretical probes and systematic effects
Euclid is expected to establish new state-of-the-art constraints on extensions beyond the standard LCDM cosmological model by measuring the positions and shapes of billions of galaxies. Specifically, its goal is to shed light on the nature of dark matter and dark energy. Achieving this requires developing and validating advanced statistical tools and theoretical prediction software capable of testing extensions of the LCDM model. In this work, we describe how the Euclid likelihood pipeline, Cos…

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Alessandro Ottaviano, Andrino Meli, Paul Scheffler, Giovanni Bambini, Robert Balas, Davide Rossi, Andrea Bartolini, Luca Benini
https://arxiv.org/abs/2510.09163

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Managing energy and thermal profiles is critical for many-core HPC processors with hundreds of application-class processing elements (PEs). Advanced model predictive control (MPC) delivers state-of-the-art performance but requires solving an online optimization problem over a thousand times per second (1 kHz control bandwidth), with computational and memory demands scaling with PE count. Traditional MPC approaches execute the controller on the PEs, but operating system overheads create jitter a…

An Ultra-Short Period Super-Earth and Sub-Neptune Spanning the Radius Valley Orbiting the Kinematic Thick Disk Star TOI-2345
Yoshi Nike Emilia Eschen, Thomas G. Wilson, Andrea Bonfanti, Carina M. Persson, S\'ergio G. Sousa, Monika Lendl, Alexis Heitzmann, Attila E. Simon, G\"oran Olofsson, Amadeo Castro-Gonz\'alez, Jo Ann Egger, Luca Fossati, Alexander James Mustill, Hugh P. Osborn, Hugo G. Vivien, Yann Alibert, Roi Alonso, Tamas B\'arczy, David Barrado, Susana C. C. B…

An Ultra-Short Period Super-Earth and Sub-Neptune Spanning the Radius Valley Orbiting the Kinematic Thick Disk Star TOI-2345
A crucial chemical link between stars and their orbiting exoplanets is thought to exist. If universal, this connection could affect the formation and evolution of all planets. Therefore, this potential vital link needs testing by characterising exoplanets around chemically-diverse stars. We present the discovery of two planets orbiting the metal-poor, kinematic thick-disk K-dwarf TOI-2345. TOI-2345 b is a super-Earth with a period of 1.05 days and TOI-2345 c is a sub-Neptune with a period of 21…

Generating Differentially Private Networks with a Modified Erd\H{o}s-R\'{e}nyi Model
Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti, Matthew Hale
https://arxiv.org/abs/2509.25431

Generating Differentially Private Networks with a Modified Erdős-Rényi Model
Differential privacy has been used to privately calculate numerous network properties, but existing approaches often require the development of a new privacy mechanism for each property of interest. Therefore, we present a framework for generating entire networks in a differentially private way. Differential privacy is immune to post-processing, which allows for any network property to be computed and analyzed for a private output network, without weakening its protections. We consider undirect…

Crosslisted article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Generating Differentially Private Networks with a Modified Erd\H{o}s-R\'{e}nyi Model
Huaiyuan Rao, Calvin Hawkins, Alexander Benvenuti, Matthew Hale

Mechanistic-statistical inference of mosquito dynamics from mark-release-recapture data
Nga Nguyen, Olivier Bonnefon, Ren\'e Gato, Luis Almeida, Lionel Roques
https://arxiv.org/abs/2510.06080

Mechanistic-statistical inference of mosquito dynamics from mark-release-recapture data
Biological control strategies against mosquito-borne diseases--such as the sterile insect technique (SIT), RIDL, and Wolbachia-based releases--require reliable estimates of dispersal and survival of released males. We propose a mechanistic--statistical framework for mark--release--recapture (MRR) data linking an individual-based 2D diffusion model with its reaction--diffusion limit. Inference is based on solving the macroscopic system and embedding it in a Poisson observation model for daily tr…