Tootfinder

Cross-correlation of Luminous Red Galaxies with ML-selected AGN in HSC-SSP III: HOD Parameters for Type I and Type II Quasars
Rodrigo C\'ordova Rosado, Andy D. Goulding, Jenny E. Greene, Nickolas Kokron, Andrina Nicola, Michael A. Strauss, Ryan C. Hickox
https://arxiv.org/abs/2510.11780

Cross-correlation of Luminous Red Galaxies with ML-selected AGN in HSC-SSP III: HOD Parameters for Type I and Type II Quasars
Understanding the dark matter (DM) halo environment in which galaxies that host active galactic nuclei (AGN) reside is a window into the nature of supermassive black hole (SMBH) accretion. We apply halo occupation distribution (HOD) modeling tools to interpret the angular cross-correlation functions between $1.5\times10^6$ luminous red galaxies (LRGs) and our $\sim28,500$ Hyper Suprime-Cam + Wide-field Infrared Survey Explorer-selected (and $L_{6 μm}$-limited) AGN to infer the halo properties …

Swarm Intelligence for Chemical Reaction Optimisation
R\'emi Schlama, Joshua W. Sin, Ryan P. Burwood, Kurt P\"untener, Raphael Bigler, Philippe Schwaller
https://arxiv.org/abs/2509.11798

Swarm Intelligence for Chemical Reaction Optimisation
Chemical reaction optimisation is essential for synthetic chemistry and pharmaceutical development, demanding the extensive exploration of many reaction parameters to achieve efficient and sustainable processes. We report $α$-PSO, a novel nature-inspired metaheuristic algorithm that augments canonical particle swarm optimisation (PSO) with machine learning (ML) for parallel reaction optimisation. Unlike black-box ML approaches that obscure decision-making processes, $α$-PSO uses mechanistical…

SN 2021lwz: Another Exotic Luminous and Fast Evolving Optical Type Ic Broad-Lined Supernova ?
F. Poidevin, S. L. West, C. M. B. Omand, R. K\"onyves-T\'oth, S. Schulze, L. Yan, T. Kangas, I. P\'erez-Fournon, S. Geier, J. Sollerman, P. J. Pessi, C. M. Guti\'errez, T. -W. Chen, K-Ryan Hinds, R. Marques-Chaves, R. Shirley, C. Jimenez Angel, R. Lunnan, D. A. Perley, N. Sarin, Y. Yao, R. Dekany, J. Purdum, A. Wold, R. R. Laher, M. J. Graham, M. M. Kasliwal, T. Jegou Du Laz

SN 2021lwz: Another Exotic Luminous and Fast Evolving Optical Type Ic Broad-Lined Supernova ?
Context. Current large-scale, high-cadence surveys, such as the Zwicky Transient Facility (ZTF), provide detections of new and rare types of transients and supernovae whose physical origins are not well understood. Aims. We investigate the nature of SN 2021lwz at a redshift z=0.065, an overluminous supernova (SN) of absolute magnitude, $M_{g} \sim -20.1$ AB, falling in the lower range of superluminous supernovae (SLSNe) luminosities, and discovered in a faint dwarf galaxy with an absolute magni…

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Dan Klein, Matei Zaharia, Omar Khattab
https://arx…

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Large language models (LLMs) are increasingly adapted to downstream tasks via reinforcement learning (RL) methods like Group Relative Policy Optimization (GRPO), which often require thousands of rollouts to learn new tasks. We argue that the interpretable nature of language can often provide a much richer learning medium for LLMs, compared with policy gradients derived from sparse, scalar rewards. To test this, we introduce GEPA (Genetic-Pareto), a prompt optimizer that thoroughly incorporates …

On the synergetic use of Ariel and JWST for exoplanet atmospheric science
Quentin Changeat, Pierre-Olivier Lagage, Giovanna Tinetti, Benjamin Charnay, Nicolas B. Cowan, Camilla Danielski, Elsa Ducrot, Achrene Dyrek, Billy Edwards, Theresa Lueftinger, Giuseppina Micela, Giuseppe Morello, Enzo Pascale, Severine Robert, Olivia Venot, Joanna K. Barstow, Andrea Bocchieri, James Y-K. Cho, Ryan Cloutier, Athena Coustenis, Panayotis Lavvas, Yamila Miguel, Kay Hou Yip

On the synergetic use of Ariel and JWST for exoplanet atmospheric science
This white paper explores the potential for strategic synergies between the JWST and the Ariel telescopes, two flagship observatories poised to revolutionise the study of exoplanet atmospheres. Both telescopes have the potential to address common fundamental questions about exoplanets-especially concerning their nature and origins-and serve a growing scientific community. With their operations now anticipated to overlap, starting from 2030, there is a unique opportunity to enhance the scientifi…

The JWST EXCELS survey: Insights into the nature of quenching at cosmic noon
Maya Skarbinski, Kate Rowlands, Katherine Alatalo, Vivienne Wild, Adam C. Carnall, Omar Almaini, David Maltby, Thomas de Lisle, Timothy Heckman, Ryan Begley, Fergus Cullen, James S. Dunlop, Guillaume Hewitt, Ho-Hin Leung, Derek McLeod, Ross McLure, Justin Atsushi Otter, Pallavi Patil, Andreea Petric, Alice E. Shapley, Struan Stevenson, Elizabeth Taylor