Data Analysis, Statistics and Probability

Authors and titles for recent submissions

• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024
• Fri, 26 Apr 2024

Thu, 2 May 2024

[1]  arXiv:2405.00669 (cross-list from astro-ph.CO) [pdf, other]

Title: Euclid preparation. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling

Authors: Euclid Collaboration: G. Congedo (1), L. Miller (2), A. N. Taylor (1), N. Cross (1), C. A. J. Duncan (3 and 2), T. Kitching (4), N. Martinet (5), S. Matthew (1), T. Schrabback (6), M. Tewes (7), N. Welikala (1), N. Aghanim (8), A. Amara (9), S. Andreon (10), N. Auricchio (11), M. Baldi (12 and 11 and 13), S. Bardelli (11), R. Bender (14 and 15), C. Bodendorf (14), D. Bonino (16), E. Branchini (17 and 18 and 10), M. Brescia (19 and 20 and 21), J. Brinchmann (22), S. Camera (23 and 24 and 16), V. Capobianco (16), C. Carbone (25), V. F. Cardone (26 and 27), J. Carretero (28 and 29), S. Casas (30), F. J. Castander (31 and 32), M. Castellano (26), S. Cavuoti (20 and 21), A. Cimatti (33), C. J. Conselice (3), L. Conversi (34 and 35), Y. Copin (36), F. Courbin (37), H. M. Courtois (38), M. Cropper (4), et al. (202 additional authors not shown)

Comments: 28 pages, 18 figures, 2 tables

Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)

[2]  arXiv:2405.00636 (cross-list from physics.soc-ph) [pdf, other]

Title: Robustness of graph embedding methods for community detection

Authors: Zhi-Feng Wei, Pablo Moriano, Ramakrishnan Kannan

Comments: 17 pages, 26 figures, 3 tables. Comments are welcome

Subjects: Physics and Society (physics.soc-ph); Machine Learning (cs.LG); Social and Information Networks (cs.SI); Data Analysis, Statistics and Probability (physics.data-an)

[3]  arXiv:2405.00190 (cross-list from quant-ph) [pdf, other]

Title: Distribution of lowest eigenvalue in $k$-body bosonic random matrix ensembles

Authors: N. D. Chavda, Priyanka Rao, V. K. B. Kota, Manan Vyas

Comments: 18 pages, 9 figures

Subjects: Quantum Physics (quant-ph); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

Wed, 1 May 2024

[4]  arXiv:2404.19649 (cross-list from cs.LG) [pdf, other]

Title: Landmark Alternating Diffusion

Authors: Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (stat.ML)

[5]  arXiv:2404.19624 (cross-list from hep-ph) [pdf, other]

Title: Recent Neutrino Parameters Impact on the Effective Majorana Neutrino Mass in 0$νββ$ Decay

Authors: Dongming Mei, Kunming Dong, Austin Warren, Sanjay Bhattarai

Comments: 6 pages, 5 figures

Subjects: High Energy Physics - Phenomenology (hep-ph); Nuclear Experiment (nucl-ex); Data Analysis, Statistics and Probability (physics.data-an)

[6]  arXiv:2404.19261 (cross-list from cs.LG) [pdf, other]

Title: High dimensional analysis reveals conservative sharpening and a stochastic edge of stability

Authors: Atish Agarwala, Jeffrey Pennington

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an)

[7]  arXiv:2404.18992 (cross-list from hep-ph) [pdf, other]

Title: Unifying Simulation and Inference with Normalizing Flows

Authors: Haoxing Du, Claudius Krause, Vinicius Mikuni, Benjamin Nachman, Ian Pang, David Shih

Comments: 11 pages, 7 figures

Subjects: High Energy Physics - Phenomenology (hep-ph); High Energy Physics - Experiment (hep-ex); Data Analysis, Statistics and Probability (physics.data-an); Instrumentation and Detectors (physics.ins-det); Machine Learning (stat.ML)

[8]  arXiv:2404.18945 (cross-list from physics.bio-ph) [pdf, other]

Title: Advanced analysis of single-molecule spectroscopic data

Authors: Joshua L. Botha, Bertus van Heerden, Tjaart P.J. Krüger

Comments: 22 pages, 19 figures

Subjects: Biological Physics (physics.bio-ph); Chemical Physics (physics.chem-ph); Data Analysis, Statistics and Probability (physics.data-an); Optics (physics.optics)

Tue, 30 Apr 2024

[9]  arXiv:2404.18219 (cross-list from physics.ins-det) [pdf, other]

Title: BUFF: Boosted Decision Tree based Ultra-Fast Flow matching

Authors: Cheng Jiang, Sitian Qian, Huilin Qu

Comments: 9 pages, 10 figures, 1 additional figure in appendix

Subjects: Instrumentation and Detectors (physics.ins-det); Machine Learning (cs.LG); High Energy Physics - Experiment (hep-ex); High Energy Physics - Phenomenology (hep-ph); Data Analysis, Statistics and Probability (physics.data-an)

[10]  arXiv:2404.18170 (cross-list from cs.PL) [pdf, other]

Title: Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing

Authors: Ianna Osborne, Jim Pivarski, Jerry Ling

Comments: 8 pages, 1 figure, ACAT2024 workshop

Subjects: Programming Languages (cs.PL); Data Analysis, Statistics and Probability (physics.data-an)

[11]  arXiv:2404.17981 (cross-list from q-bio.NC) [pdf, other]

Title: A symbolic information approach applied to human intracranial data to characterize and distinguish different congnitive processes

Authors: Ícaro Rodolfo Soares Coelho Da Paz, Pedro F. A. Silva, Helena Bordini de Lucas, Sérgio H. A. Lira, Osvaldo A. Rosso, Fernanda Selingardi Matias

Subjects: Neurons and Cognition (q-bio.NC); Biological Physics (physics.bio-ph); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an)

[12]  arXiv:2404.17622 (cross-list from astro-ph.IM) [pdf, other]

Title: Two-Dimensional (2D) Hybrid Method: Expanding 2D Correlation Spectroscopy (2D-COS) for Time Series Analysis

Authors: Andjelka B. Kovacevic

Comments: published in Applied Spectroscopy, 2024 Apr 3:37028241241308. doi: 10.1177/00037028241241308

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Data Analysis, Statistics and Probability (physics.data-an)

Mon, 29 Apr 2024

[13]  arXiv:2404.17180 [pdf, other]

Title: PHYSTAT Informal Review: Marginalizing versus Profiling of Nuisance Parameters

Authors: Robert D. Cousins, Larry Wasserman

Comments: 22 pages, 2 figures

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

[14]  arXiv:2404.17093 [pdf, other]

Title: Temporal scaling theory for bursty time series with clusters of arbitrarily many events

Authors: Hang-Hyun Jo, Tibebe Birhanu, Naoki Masuda

Comments: 12 pages, 3 figures

Subjects: Data Analysis, Statistics and Probability (physics.data-an)

[15]  arXiv:2404.16874 (cross-list from physics.soc-ph) [pdf, other]

Title: Worldwide wildfire spreading and its severity described by the SIR model

Authors: Tong Pan, Hongjun Wang, Jiyuan Chen, Xuan Song

Subjects: Physics and Society (physics.soc-ph); Data Analysis, Statistics and Probability (physics.data-an)

[16]  arXiv:2404.16855 (cross-list from nlin.AO) [pdf, other]

Title: Reconstructing Attractors with Autoencoders

Authors: Facundo Fainstein, Gabriel B. Mindlin, Pablo Groisman

Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Data Analysis, Statistics and Probability (physics.data-an)

[17]  arXiv:2404.15914 (cross-list from physics.soc-ph) [pdf, other]

Title: Assessing frustration in real-world signed networks: traditional or relaxed balance?

Authors: Anna Gallo, Diego Garlaschelli, Tiziano Squartini

Comments: 20 pages, 13 figures, 1 table

Subjects: Physics and Society (physics.soc-ph); Applied Physics (physics.app-ph); Data Analysis, Statistics and Probability (physics.data-an)

Fri, 26 Apr 2024

[18]  arXiv:2404.16533 (cross-list from cond-mat.soft) [pdf, other]

Title: AMEP: The Active Matter Evaluation Package for Python

Authors: Lukas Hecht, Kay-Robert Dormann, Kai Luca Spanheimer, Mahdieh Ebrahimi, Malte Cordts, Suvendu Mandal, Aritra K. Mukhopadhyay, Benno Liebchen

Comments: See this https URL for the source code and this https URL for the documentation

Subjects: Soft Condensed Matter (cond-mat.soft); Statistical Mechanics (cond-mat.stat-mech); Adaptation and Self-Organizing Systems (nlin.AO); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an)

[19]  arXiv:2404.16524 (cross-list from cond-mat.mtrl-sci) [pdf, ps, other]

Title: 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures

Authors: Jiwei Yu, Zhangwei Wang, Aparna Saksena, Shaolou Wei, Ye Wei, Timoteo Colnaghi, Andreas Marek, Markus Rampp, Min Song, Baptiste Gault, Yue Li

Subjects: Materials Science (cond-mat.mtrl-sci); Data Analysis, Statistics and Probability (physics.data-an)

• Thu, 2 May 2024
• Wed, 1 May 2024
• Tue, 30 Apr 2024
• Mon, 29 Apr 2024
• Fri, 26 Apr 2024