Tootfinder

Just finished "Hilda and the Bird Parade" by Luke Pearson, and as usual with Pearson's "Hilda" books, it's tremendous! A lovely magical world, childhood curiosity paired with responsibility, and that touch of each parental love.
#AmReading

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A note on the strength of a hypercube
Melissa A. Huggan, M. E. Messinger, Dylan Pearson
https://arxiv.org/abs/2507.21908 https://arxiv.org/pdf/2507.21908…

A note on the strength of a hypercube
As a generalization of super magic strength, the strength of a graph was introduced in [R. Ichishima, F.A. Muntaner-Batle, A. Oshima, Bounds for the strength of graphs, Austral. J. of Combin. 72(3) (2018) 492-508]. For a vertex ordering $f$ of graph $G$, the strength of $f$ is the maximum sum of the labels on any pair of adjacent vertices. The strength of $G$ is defined as the minimum strength of $f$, taken over all vertex orderings of $G$. The strength of the hypercube is unknown, but bounded.…

Causal Link Discovery with Unequal Edge Error Tolerance
Joni Shaska, Urbashi Mitra
https://arxiv.org/abs/2507.21570 https://arxiv.org/pdf/2507.21570…

Causal Link Discovery with Unequal Edge Error Tolerance
This paper proposes a novel framework for causal discovery with asymmetric error control, called Neyman-Pearson causal discovery. Despite the importance of applications where different types of edge errors may have different importance, current state-of-the-art causal discovery algorithms do not differentiate between the types of edge errors, nor provide any finite-sample guarantees on the edge errors. Hence, this framework seeks to minimize one type of error while keeping the other below a use…

Tracing Red Giant Members of the Globular Cluster Palomar 5 with APOGEE and Gaia
Allyson A. Sheffield, Sarah Pearson, Lenin F. Nolasco, Rachael L. Beaton, Adrian M. Price-Whelan, Katia Cunha, Verne V. Smith, Rafael Guerco
https://arxiv.org/abs/2507.21212

Tracing Red Giant Members of the Globular Cluster Palomar 5 with APOGEE and Gaia
The globular cluster Palomar 5 (Pal 5) is in the process of being tidally shredded as it orbits the Milky Way. Its core is currently at a heliocentric distance of ~21 kpc, near apogalacticon (~18 kpc), and it reaches ~5-7 kpc at perigalacticon. Pal 5's leading and trailing arms stretch over 20 degrees on the sky, making them sensitive probes of the Milky Way's mass distribution. In this work, we search for red giant members of Pal 5 using spectroscopic data from APOGEE DR17 and photometric and …

Evaluating Compositional Generalisation in VLMs and Diffusion Models
Beth Pearson, Bilal Boulbarss, Michael Wray, Martha Lewis
https://arxiv.org/abs/2508.20783 https://

Evaluating Compositional Generalisation in VLMs and Diffusion Models
A fundamental aspect of the semantics of natural language is that novel meanings can be formed from the composition of previously known parts. Vision-language models (VLMs) have made significant progress in recent years, however, there is evidence that they are unable to perform this kind of composition. For example, given an image of a red cube and a blue cylinder, a VLM such as CLIP is likely to incorrectly label the image as a red cylinder or a blue cube, indicating it represents the image a…

Gen Z recognizes Donald Trump as a peacemaker (CJ Pearson/Washington Examiner)
https://www.washingtonexaminer.com/restoring-america/courage-strength-optimism/3453544/gen-z-recognizes-donald-trump-as-a-peacemaker/
http://www.memeorandum.com/250625/p70#a250625p70

This week! Another week of perfect weather, and we play Thursday, August 28th from 4:00pm to 7:00pm at Pearson Street and State, just off the Mag Mile near the Hancock. Say hi if you're in the area!
#chicago #LiveMusic

Replaced article(s) found for stat.CO. https://arxiv.org/list/stat.CO/new
[1/1]:
- Closed-form approximations of the two-sample Pearson Bayes factor
Thomas J. Faulkenberry

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Call Option Price using Pearson Diffusion Processes
Tapan Kar, Suprio Bhar, Barun Sarkar, Sesha Meka
https://arxiv.org/abs/2508.14577 https://arxiv.org/pdf…

Call Option Price using Pearson Diffusion Processes
Following the foundational work of the Black--Scholes model, extensive research has been developed to price the option by addressing its underlying assumptions and associated pricing biases. This study introduces a novel framework for pricing European call options by modeling the underlying asset's return dynamics using Pearson diffusion processes, characterized by a linear drift and a quadratic squared diffusion coefficient. This class of diffusion processes offers a key advantage in its abili…

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Leslie Pearson & Graham Ashton Brass Ensemble:
🎵 Dance Suite, after Arbeau
#LesliePearson #GrahamAshtonBrassEnsemble
https://open.spotify.com/track/40GRGrurnFTuaH0aAyENhD

Entropy-Based Analysis of Urban Pollutant-Weather Correlations
Suchismita Banerjee, Koyena Ghosh, Moumita De, Urna Basu, Banasri Basu
https://arxiv.org/abs/2508.17453 https://…

Entropy-Based Analysis of Urban Pollutant-Weather Correlations
We employ statistical physics and information-theoretic methods to quantify the dependencies between key atmospheric pollutants and meteorological variables across multiple Indian cities. To capture both linear and nonlinear relationships, we introduce a Composite Correlation Index (CCI) that combines the Pearson correlation coefficient with entropy-based measures, including mutual information and conditional entropy. Based on the CCI values, cities are clustered into distinct groups, uncoverin…

Stabilizing randomized GMRES through flexible GMRES
Stefan G\"uttel, John W. Pearson
https://arxiv.org/abs/2506.18408 https://ar…

Stabilizing randomized GMRES through flexible GMRES
We explore the use of flexible GMRES as an outer wrapper for sketched GMRES. Building on a new bound for the residual of FGMRES in terms of the residual of the preconditioner, we derive a practical randomized solver that requires very little parameter tuning, while still being efficient and robust in the sense of generating non-increasing residual norms.

Simplifying Strangeness Fluctuations through Balance Functions in Proton-Proton Collisions
Christian Bierlich, Peter Christiansen
https://arxiv.org/abs/2506.18375

Simplifying Strangeness Fluctuations through Balance Functions in Proton-Proton Collisions
Recent measurements of event-by-event fluctuations of multistrange baryons and kaons in proton-proton collisions by ALICE have been proposed as sensitive probes to distinguish between thermal and string-based hadronization mechanisms. We demonstrate that two key observables -- the normalized net-$Ξ$ second-order cumulant and the net-$K$--net-$Ξ$ Pearson correlation coefficient -- can be re-expressed in terms of balance function integrals, thereby revealing their underlying microscopic content…

Darren Woodson receives annual Tom Landry Award https://www.dallascowboys.com/news/darren-woodson-receives-annual-tom-landry-award

An Analytical Neighborhood Enrichment Score for Spatial Omics
Axel Andersson, Hanna Nystr\"om
https://arxiv.org/abs/2506.18692 https://

An Analytical Neighborhood Enrichment Score for Spatial Omics
The neighborhood enrichment test is used to quantify spatial enrichment and depletion between spatial points with categorical labels, which is a common data type in spatial omics. Traditionally, this test relies on a permutation-based Monte Carlo approach, which tends to be computationally expensive for large datasets. In this study, we present a modified version of the test that can be computed analytically. This analytical version showed a minimum Pearson correlation of 0.95 with the conventi…

Wide Area Linear Optical Polarimeter Control Software
John A. Kypriotakis, Bhushan Joshi, Dmitry Blinov, Sebastian Kiehlmann, Ramya M. Anche, Ioannis Liodakis, Myrto Falalaki, Tuhin Ghosh, Eirik Gjerl{\o}w, Siddharth Maharana, Nikolaos Mandarakas, Georgia V. Panopoulou, Katerina Papadaki, Vasiliki Pavlidou, Timothy J. Pearson, Vincent Pelgrims, Stephen B. Potter, Chaitanya V. Rajarshi, A. N. Ramaprakash, Anthony C. S. Readhead, Raphael Skalidis, Konstantinos Tassis

Wide Area Linear Optical Polarimeter Control Software
The WALOPControl software is designed to facilitate comprehensive control and operation of the WALOP (Wide Area Linear Optical Polarimeter) polarimeters, ensuring safe and concurrent management of various instrument components and functionalities. This software encompasses several critical requirements, including control of the filter wheel, calibration half-wave plate, calibration polarizer, guider positioning, focusers, and 4 concurrent CCD cameras. It also manages the host telescope and dome…

On independence testing using the (partial) distance correlation
Kontemeniotis Nikolaos, Vargiakakis Rafail, Tsagris Michail
https://arxiv.org/abs/2506.15659

On independence testing using the (partial) distance correlation
Distance correlation is a measure of dependence between two paired random vectors or matrices of arbitrary, not necessarily equal, dimensions. Unlike Pearson correlation, the population distance correlation coefficient is zero if and only if the random vectors are independent. Thus, distance correlation measures both linear and non-linear association between two univariate and or multivariate random variables. Partial distance correlation expands to the case of conditional independence. To test…

Late-time Hubble Space Telescope Ultraviolet Spectra of SN 2023ixf and SN 2024ggi Show Ongoing Interaction with Circumstellar Material
K. Azalee Bostroem, Stefano Valenti, David J. Sand, Jeniveve Pearson, Manisha Shrestha, Jennifer E. Andrews, Luc Dessart, W. V. Jacobson-Galan, Brian Hsu, Aravind P. Ravi, Moira Andrews, Collin Christy, Yize Dong, Noah Franz, Joseph Farah, Alexei V. Filippenko, Kiranjyot Gill, Emily T. Hoang, Griffin Hosseinzadeh, D. Andrew Howell, Daryl Janzen, Jacob E…

Late-time Hubble Space Telescope Ultraviolet Spectra of SN 2023ixf and SN 2024ggi Show Ongoing Interaction with Circumstellar Material
We present far- and near-ultraviolet (UV) spectra of the Type II supernovae (SNe) SN~2023ixf from days 199 to 722 and SN~2024ggi at days 41 and 232. Both supernovae show broad, blueshifted, and asymmetric UV emission lines with an initial maximum velocity of $\sim9000\,km\,s^{-1}$ and narrow unresolved emission in CIV. We compare the optical and UV emission-line profiles, showing that they evolve from two distinct velocity profiles to a single profile tracing the UV emission. We interpret this …

Moderate deviation principle for the chi-square statistics
Zhenhong Yu, Yu Miao
https://arxiv.org/abs/2508.12380 https://arxiv.org/pdf/2508.12380

Moderate deviation principle for the chi-square statistics
In the present paper, we consider the Pearson chi-square statistic defined on a finite alphabet which is assumed to dynamically vary as the sample size increases, and establish its moderate deviation principle.

Darren Woodson receives annual Tom Landry Award https://www.dallascowboys.com/news/darren-woodson-receives-annual-tom-landry-award

How Conversational Structure and Style Shape Online Community Experiences
Galen Weld, Carl Pearson, Bradley Spahn, Tim Althoff, Amy X. Zhang, Sanjay Kairam
https://arxiv.org/abs/2508.08596

How Conversational Structure and Style Shape Online Community Experiences
Sense of Community (SOC) is vital to individual and collective well-being. Although social interactions have moved increasingly online, still little is known about the specific relationships between the nature of these interactions and Sense of Virtual Community (SOVC). This study addresses this gap by exploring how conversational structure and linguistic style predict SOVC in online communities, using a large-scale survey of 2,826 Reddit users across 281 varied subreddits. We develop a hierarc…

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🇺🇦 #NowPlaying on BBCRadio3's #ClassicalMixtape
George Ives, Gerald Drucker, Lyn Fletcher, Robert Heard, Sir Charles Groves, Camille Saint-Saëns, Philharmonia Orchestra, Kenneth Smith, Leslie Pearson & Michael Reeves:
🎵 Aquarium (Carnival of the Animals)
#GeorgeIves

The substellar population in Corona Australis
Koraljka Muzic, V\'ictor Almendros-Abad, Andr\'e Baptista, Alexander Scholz, Daniel Capela, Samuel Pearson, Belinda Damian, Afonso doBrito-doVale, Tamara Rom, Ray Jayawardhana
https://arxiv.org/abs/2508.00612

The substellar population in Corona Australis
The substellar initial mass function (IMF) and the formation mechanisms of brown dwarfs (BDs) remain key open questions in star formation theory. IMF characterization in a large number of star-forming regions (SFRs) is essential for constraining these processes. We aim to identify and spectroscopically confirm very low-mass members of the Corona Australis (CrA) SFR to refine its substellar census, determine its low-mass IMF, and compare it to other clusters. Using deep I-band photometry from Su…

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A New Approach to Compiling Exoatmospheric Target Lists And Quantifying the Ground-Based Resources Needed to Vet Them
Jennifer A. Burt, Robert T. Zellem, David R. Ciardi, Shubham Kanodia, Geoffrey Bryden, Tiffany Kataria, Kyle A. Pearson, Jessie L. Christiansen, Charles Beichman, B. J. Fulton, Mark Swain
https://arxiv.org/abs/2508.03801

A New Approach to Compiling Exoatmospheric Target Lists And Quantifying the Ground-Based Resources Needed to Vet Them
Transiting exoplanet atmospheric characterization is currently in a golden age as dozens of exoplanet atmospheres are being studied by NASA's Hubble and James Webb Space Telescopes. This trend is expected to continue with NASA's Pandora Smallsat and Roman Space Telescope and ESA's Ariel mission (all expected to launch within this decade) and NASA's Habitable Worlds Observatory (expected to launch in the early 2040s) all of which are centered around studying the atmospheres of exoplanets. Here w…

Near-Infrared Spectroscopy and Detection of Carbon Monoxide in the Type II Supernova SN 2023ixf
Seong Hyun Park, Jeonghee Rho, Sung-Chul Yoon, Jeniveve Pearson, Manisha Shrestha, Samaporn Tinyanont, T. R. Geballe, Ryan J. Foley, Aravind P. Ravi, Jennifer Andrews, David J. Sand, K. Azalee Bostroem, Chris Ashall, Peter Hoeflich, Stefano Valenti, Yize Dong, Nicolas Meza Retamal, Emily Hoang, Darshana Mehta, D. Andrew Howell, Joseph R. Farah, Giacomo Terreran, Estefania Padilla Gonzalez, M…

Near-Infrared Spectroscopy and Detection of Carbon Monoxide in the Type II Supernova SN 2023ixf
Core-collapse supernovae (CCSNe) may contribute a significant amount of dust in the early universe. Freshly formed coolant molecules (e.g., CO) and warm dust can be found in CCSNe as early as ~100 d after the explosion, allowing the study of their evolution with time series observations. In the Type II SN 2023ixf, we aim to investigate the temporal evolution of the temperature, velocity, and mass of CO and compare them with other CCSNe, exploring their implications for the dust formation in CCS…

CeeDee Lamb set to catch multiple Cowboys WR legends in 2025 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/05/ceedee-lamb-receiving-yards-bob-hayes-dez-bryant-drew-pearson…

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite, F8D1
Adam Smercina, Eric F. Bell, Benjamin F. Williams, Benjamin N. Velguth, Sarah Pearson, Jeremy Bailin, Tsang Keung Chan, Julianne J. Dalcanton, Roelof S. de Jong, Richard D'Souza, Andrew Dolphin, Puragra Guhathakurta, Kristen B. W. McQuinn, Antonela Monachesi, Colin T. Slater, Elisa Toloba, Daniel R. Weisz, Andrew Wetzel

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite, F8D1
We present deep HST imaging of one of the nearest ultra-diffuse galaxies (UDGs) outside of the Local Group: F8D1, a satellite of M81 known to be tidally disrupting. UDGs are an enigmatic and diverse population, with evolutionary pathways ranging from tidal processing to bursty feedback and high initial angular momentum. To determine F8D1's evolutionary drivers, we resolve stars in F8D1's central $\sim$1 kpc and in a parallel field $\sim$6 kpc along its major axis to deep photometric limits, rea…

Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
L. Bergamaschi, A. Martinez, J. W. Pearson, A. Potschka
https://arxiv.org/abs/2506.02816

Eigenvalue bounds for preconditioned symmetric multiple saddle-point matrices
We develop eigenvalue bounds for symmetric, block tridiagonal multiple saddle-point linear systems, preconditioned with block diagonal matrices. We extend known results for $3 \times 3$ block systems [Bradley and Greif, IMA J.\ Numer. Anal. 43 (2023)] and for $4 \times 4$ systems [Pearson and Potschka, IMA J. Numer. Anal. 44 (2024)] to an arbitrary number of blocks. Moreover, our results generalize the bounds in [Sogn and Zulehner, IMA J. Numer. Anal. 39 (2018)], developed for an arbitrary numb…

Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories
Olivier Bisson (EPIONE, UniCA), Yanis Aeschlimann (CRONOS, UniCA), Samuel Deslauriers-Gauthier (CRONOS, UniCA), Xavier Pennec (EPIONE, UniCA)
https://arxiv.org/abs/2507.15374

Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories
The brain is often studied from a network perspective, where functional activity is assessed using functional Magnetic Resonance Imaging (fMRI) to estimate connectivity between predefined neuronal regions. Functional connectivity can be represented by correlation matrices computed over time, where each matrix captures the Pearson correlation between the mean fMRI signals of different regions within a sliding window. We introduce several Log-Euclidean Riemannian framework for constructing smooth…

Alpha-Z divergence unveils further distinct phenotypic traits of human brain connectivity fingerprint
Md Kaosar Uddin, Nghi Nguyen, Huajun Huang, Duy Duong-Tran, Jingyi Zheng
https://arxiv.org/abs/2507.23116

Alpha-Z divergence unveils further distinct phenotypic traits of human brain connectivity fingerprint
The accurate identification of individuals from functional connectomes (FCs) is critical for advancing individualized assessments in neuropsychiatric research. Traditional methods, such as Pearson's correlation, have limitations in capturing the complex, non-Euclidean geometry of FC data, leading to suboptimal performance in identification performance. Recent developments have introduced geodesic distance as a more robust metric; however, its performance is highly sensitive to regularization ch…

Finding Core Balanced Modules in Statistically Validated Stock Networks
Huan Qing, Xiaofei Xu
https://arxiv.org/abs/2508.04970 https://arxiv.org/pdf/2508.0…

Finding Core Balanced Modules in Statistically Validated Stock Networks
Traditional threshold-based stock networks suffer from subjective parameter selection and inherent limitations: they constrain relationships to binary representations, failing to capture both correlation strength and negative dependencies. To address this, we introduce statistically validated correlation networks that retain only statistically significant correlations via a rigorous t-test of Pearson coefficients. We then propose a novel structure termed the largest strong-correlation balanced …

Differential equations for a class of semiclassical orthogonal polynomials on the unit circle
Cleonice F. Bracciali, Karina S. Rampazzi, Luana L. Silva Ribeiro
https://arxiv.org/abs/2506.03432

Differential equations for a class of semiclassical orthogonal polynomials on the unit circle
We consider semiclassical orthogonal polynomials on the unit circle associated with a weight function that satisfy a Pearson-type differential equation involving two polynomials of degree at most three. Structure relations and difference equations for these orthogonal polynomials are found, and, as a consequence, explicit first and second order differential equations are derived. Among the applications, differential equations for a family of polynomials that generalizes the Jacobi polynomials o…

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This https://arxiv.org/abs/2506.06056 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On Rank Correlation Coefficients
In the present paper, we propose a new rank correlation coefficient $r_n$, which is a sample analogue of the theoretical correlation coefficient $r$, which, in turn, was proposed in the recent work of Stepanov (2025b). We discuss the properties of $r_n$ and compare $r_n$ with known rank Spearman $ρ_{S,n}$, Kendall $τ_n$ and sample Pearson $ρ_n$ correlation coefficients. Simulation experiments show that when the relationship between $X$ and $Y$ is not close to linear, $r_n$ performs better th…

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Unveiling a Population of Strong Galaxy-Galaxy Lensed Faint Dusty Star-Forming Galaxies
Ting-Kai Yang, Chian-Chou Chen, Zhen-Kai Gao, Bovornpratch Vijarnwannaluk, Adarsh Ranjan, Wei-Hao Wang, Caitlin M. Casey, Tomotsugu Goto, Jeyhan S. Kartaltepe, Chayan Mondal, James Pearson, Chris Sedgwick, Stephen Serjeant
https://arxiv.org/a…

Unveiling a Population of Strong Galaxy-Galaxy Lensed Faint Dusty Star-Forming Galaxies
The measurements of the number density of galaxy-galaxy strong lenses can be used to put statistical constraints on the foreground mass distributions. Dusty galaxies uncovered in submillimeter surveys are particularly useful in this regard because of the large volume probed by these surveys. Previous discoveries of strong galaxy-galaxy lensed dusty galaxies are predominantly the brightest in the sky discovered by Herschel, SPT, and Planck. However, models have also predicted a non-negligible fr…

Zero-disparity Distribution Synthesis: Fast Exact Calculation of Chi-Squared Statistic Distribution for Discrete Uniform Histograms
Nikola Bani\'c, Neven Elezovi\'c
https://arxiv.org/abs/2506.23416

Zero-disparity Distribution Synthesis: Fast Exact Calculation of Chi-Squared Statistic Distribution for Discrete Uniform Histograms
Pearson's chi-squared test is widely used to assess the uniformity of discrete histograms, typically relying on a continuous chi-squared distribution to approximate the test statistic, since computing the exact distribution is computationally too costly. While effective in many cases, this approximation allegedly fails when expected bin counts are low or tail probabilities are needed. Here, Zero-disparity Distribution Synthesis is presented, a fast dynamic programming approach for computing the…

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Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games
Heidi Wolles Lj\'osheim, Dante Kalise, John W. Pearson, Francisco J. Silva
https://arxiv.org/abs/2507.01958

Parallel-in-Time Preconditioning for Time-Dependent Variational Mean Field Games
We study the numerical approximation of a time-dependent variational mean field game system with local couplings and either periodic or Neumann boundary conditions. Following a variational approach, we employ a finite difference discretization and solve the resulting finite-dimensional optimization problem using the Chambolle--Pock primal--dual algorithm. As this involves computing proximal operators and solving ill-conditioned linear systems at each iteration, we propose a general class of par…

On Rank Correlation Coefficients
Alexei Stepanov
https://arxiv.org/abs/2506.06056 https://arxiv.org/pdf/2506.06056

On Rank Correlation Coefficients
In the present paper, we propose a new rank correlation coefficient $r_n$, which is a sample analogue of the theoretical correlation coefficient $r$, which, in turn, was proposed in the recent work of Stepanov (2025b). We discuss the properties of $r_n$ and compare $r_n$ with known rank Spearman $ρ_{S,n}$, Kendall $τ_n$ and sample Pearson $ρ_n$ correlation coefficients. Simulation experiments show that when the relationship between $X$ and $Y$ is not close to linear, $r_n$ performs better th…

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Katy J Pearson:
🎵 Maybe
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https://katyjpearson.bandcamp.com/track/maybe
https://open.spotify.com/track/1B5wd9qzqY0XQmAAe3ZxNC

Testing Dark Matter with Generative Models for Extragalactic Stellar Streams
Jacob Nibauer, Sarah Pearson
https://arxiv.org/abs/2508.02666 https://arxiv.or…

Testing Dark Matter with Generative Models for Extragalactic Stellar Streams
Upcoming ground and space-based surveys are poised to illuminate low surface brightness tidal features, providing a new observable connection to dark matter physics. From imaging of tidal debris, the morphology of stellar streams can be used to infer the geometry of dark matter halos. In this paper, we develop a generative approach, X-Stream, which translates stream imaging into constraints on the radial density profile of dark matter halos--from the inner region out to the virial radius. Using…

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