Tootfinder

Intrinsic alignment demographics for next-generation lensing: Revealing galaxy property trends with DESI Y1 direct measurements
J. Siegel, J. McCullough, A. Amon, C. Lamman, N. Jeffrey, B. Joachimi, H. Hoekstra, S. Heydenreich, A. J. Ross, J. Aguilar, S. Ahlen, D. Bianchi, C. Blake, D. Brooks, F. J. Castander, T. Claybaugh, A. de la Macorra, J. DeRose, P. Doel, N. Emas, S. Ferraro, A. Font-Ribera, J. E. Forero-Romero, E. Gazta\~naga, S. Gontcho A Gontcho, G. Gutierrez, K. Honscheid, M.…

Intrinsic alignment demographics for next-generation lensing: Revealing galaxy property trends with DESI Y1 direct measurements
We present direct measurements of the intrinsic alignments (IA) of over 2 million spectroscopic galaxies using DESI Data Release 1 and imaging from four lensing surveys: DES, HSC, KiDS, and SDSS. In this uniquely data-rich regime, we take initial steps towards a more tailored IA modelling approach by building a library of IA measurements across colour, luminosity, stellar mass, and redshift. We map the dependence between galaxy type -- in terms of rest-frame colour, strength of the 4000 Angstro…

Tensor train representations of Greeks for Fourier-based pricing of multi-asset options
Rihito Sakurai, Koichi Miyamoto, Tsuyoshi Okubo
https://arxiv.org/abs/2507.08482

Tensor train representations of Greeks for Fourier-based pricing of multi-asset options
Efficient computation of Greeks for multi-asset options remains a key challenge in quantitative finance. While Monte Carlo (MC) simulation is widely used, it suffers from the large sample complexity for high accuracy. We propose a framework to compute Greeks in a single evaluation of a tensor train (TT), which is obtained by compressing the Fourier transform (FT)-based pricing function via TT learning using tensor cross interpolation. Based on this TT representation, we introduce two approaches…

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Chenheng Xu, Dan Wu, Yixin Zhu, Ying Nian Wu
https://arxiv.org/abs/2506.09174 htt…

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Multivariate long-term time series forecasting has been suffering from the challenge of capturing both temporal dependencies within variables and spatial correlations across variables simultaneously. Current approaches predominantly repurpose backbones from natural language processing or computer vision (e.g., Transformers), which fail to adequately address the unique properties of time series (e.g., periodicity). The research community lacks a dedicated backbone with temporal-specific inductiv…

(1/2) Check out the EdTech Situation Room Episode 347 “DeepSeek Disruption”
https://edtechsr.com/2025/07/02/edtechsr-ep-347-deepseek-disruption/
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EdTechSR Ep 347 DeepSeek Disruption
where technology news meets educational analysis Welcome to episode 347 (“DeepSeek Disruption”) of the EdTech Situation Room from February 12, 2025, where technology news met educational analysis. In this episode, Dr. Jason Neiffer (aicentrist.com) and Dr. Wesley Fryer (wesfryer.com) unpacked the latest headlines and their educational implications. The co-hosts dove into China’s rapidly advancing DeepSeek AI model, exploring its open-source release, security concerns, and what it could me…

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
Chadha Degachi, Samuel Kernan Freire, Evangelos Niforatos, Gerd Kortuem
https://arxiv.org/abs/2506.03807

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
The experience and adoption of conversational search is tied to the accuracy and completeness of users' mental models -- their internal frameworks for understanding and predicting system behaviour. Thus, understanding these models can reveal areas for design interventions. Transparency is one such intervention which can improve system interpretability and enable mental model alignment. While past research has explored mental models of search engines, those of generative conversational search re…

This https://arxiv.org/abs/2505.08740 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Parametric differential equations of the form du/dt = f(u, x, t, p) are fundamental in science and engineering. While deep learning frameworks such as the Fourier Neural Operator (FNO) can efficiently approximate solutions, they struggle with inverse problems, sensitivity estimation (du/dp), and concept drift. We address these limitations by introducing a sensitivity-based regularization strategy, called Sensitivity-Constrained Fourier Neural Operators (SC-FNO). SC-FNO achieves high accuracy in…

Effect of chromatic dispersion on image size and lattice plane curvature measurements with Rocking Curve Imaging
Elena Ferrari, Claudio Ferrari, Jos\`e Baruchel, Thu Ni Tran Caliste, Stefano Basso, Akanshu Chauhan, Bianca Salmaso, Davide Sisana, Daniele Spiga
https://arxiv.org/abs/2506.03787…

Effect of chromatic dispersion on image size and lattice plane curvature measurements with Rocking Curve Imaging
ADP crystals of large dimensions (80x80x20 mm3), to be used as a X-ray beam expanders in the BEaTriX facility at INAF-OABrera, have been characterised at BM05 beamline at ESRF synchrotron with the main purpose to determine lattice plane curvature with a unprecedent accuracy, as the BEaTriX setup requires a radius of curvature larger than 22 km. In this beamline, the monochromator is made by 2 Si(111) parallel crystals in the non-dispersive configuration. Due to the difference in the Bragg angle…

fftvis: A Non-Uniform Fast Fourier Transform Based Interferometric Visibility Simulator
Tyler A. Cox, Steven G. Murray, Aaron R. Parsons, Joshua S. Dillon, Kartik Mandar, Zachary E. Martinot, Robert Pascua, Piyanat Kittiwisit, James E. Aguirre
#toXiv_bot_toot

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Chang Liu, Yixin Wang, Moontae Lee
https://arxiv.org/abs/2506.21362

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Efficient access to high-quality information is vital for online platforms. To promote more useful information, users not only create new content but also evaluate existing content, often through helpfulness voting. Although aggregated votes help service providers rank their user content, these votes are often biased by disparate accessibility per position and the cascaded influence of prior votes. For a fairer assessment of information quality, we propose the Counterfactual Voting Adjustment (…

Phase dynamics and their role determining energy flux in hydrodynamic shell models
Santiago J. Benavides, Miguel D. Bustamante
https://arxiv.org/abs/2507.03397

Phase dynamics and their role determining energy flux in hydrodynamic shell models
The transfer of energy and other conserved quantities across scales, also known as flux or spectral flux, is a central aspect of out-of-equilibrium systems such as turbulent hydrodynamic flows. Despite its role in the few predictive theories that exist, a dynamical understanding of what determines said flux (and its direction in scale) has yet to be established. In this study, we work towards this understanding by investigating how the dynamics of complex Fourier velocity phases influence the f…