Tootfinder

Experimental Design for Semiparametric Bandits
Seok-Jin Kim, Gi-Soo Kim, Min-hwan Oh
https://arxiv.org/abs/2506.13390 https://arxiv.o…

Experimental Design for Semiparametric Bandits
We study finite-armed semiparametric bandits, where each arm's reward combines a linear component with an unknown, potentially adversarial shift. This model strictly generalizes classical linear bandits and reflects complexities common in practice. We propose the first experimental-design approach that simultaneously offers a sharp regret bound, a PAC bound, and a best-arm identification guarantee. Our method attains the minimax regret $\tilde{O}(\sqrt{dT})$, matching the known lower bound for …

Optimal Experimental Design Criteria for Data-Consistent Inversion
Troy Butler, John Jakeman, Michael Pilosov, Scott Walsh, Timothy Wildey
https://arxiv.org/abs/2506.12157

Optimal Experimental Design Criteria for Data-Consistent Inversion
The ability to design effective experiments is crucial for obtaining data that can substantially reduce the uncertainty in the predictions made using computational models. An optimal experimental design (OED) refers to the choice of a particular experiment that optimizes a particular design criteria, e.g., maximizing a utility function, which measures the information content of the data. However, traditional approaches for optimal experimental design typically require solving a large number of …

Experimental Verification of a Time-Domain Load Identification Method for Single-Phase Circuits
Francisco M. Arrabal-Campos, Francisco G. Montoya, Jorge Ventura, Santiago S\'anchez-Acevedo, Raymundo E. Torres-Olguin, Francisco de Le\'on
https://arxiv.org/abs/2506.12593

Experimental Verification of a Time-Domain Load Identification Method for Single-Phase Circuits
This paper presents experimental validation of a time-domain load parameter determination method for single-phase circuits. The verification is performed in a state-of-the-art smart grid laboratory equipped with power hardware and real-time emulators. The proposed method enables the identification of circuit parameters using only instantaneous voltage and current measurements at the point of common coupling. The experimental setup includes a range of test cases covering linear and non-sinusoida…

Experimental demonstration of high-fidelity logical magic states from code switching
Lucas Daguerre, Robin Blume-Kohout, Natalie C. Brown, David Hayes, Isaac H. Kim
https://arxiv.org/abs/2506.14169

Experimental demonstration of high-fidelity logical magic states from code switching
Preparation of high-fidelity logical magic states has remained as a necessary but daunting step towards building a large-scale fault-tolerant quantum computer. One approach is to fault-tolerantly prepare a magic state in one code and then switch to another, a method known as code switching. We experimentally demonstrate this protocol on an ion-trap quantum processor, yielding a logical magic state encoded in an error-correcting code with state-of-the-art logical fidelity. Our experiment is base…

PuDHammer: Experimental Analysis of Read Disturbance Effects of Processing-using-DRAM in Real DRAM Chips
Ismail Emir Yuksel, Akash Sood, Ataberk Olgun, O\u{g}uzhan Canpolat, Haocong Luo, F. Nisa Bostanc{\i}, Mohammad Sadrosadati, A. Giray Ya\u{g}l{\i}k\c{c}{\i}, Onur Mutlu
https://arxiv.org/abs/2506.12947

PuDHammer: Experimental Analysis of Read Disturbance Effects of Processing-using-DRAM in Real DRAM Chips
Processing-using-DRAM (PuD) is a promising paradigm for alleviating the data movement bottleneck using DRAM's massive internal parallelism and bandwidth to execute very wide operations. Performing a PuD operation involves activating multiple DRAM rows in quick succession or simultaneously, i.e., multiple-row activation. Multiple-row activation is fundamentally different from conventional memory access patterns that activate one DRAM row at a time. However, repeatedly activating even one DRAM ro…

Dependent Randomized Rounding for Budget Constrained Experimental Design
Khurram Yamin, Edward Kennedy, Bryan Wilder
https://arxiv.org/abs/2506.12677 https…

Dependent Randomized Rounding for Budget Constrained Experimental Design
Policymakers in resource-constrained settings require experimental designs that satisfy strict budget limits while ensuring precise estimation of treatment effects. We propose a framework that applies a dependent randomized rounding procedure to convert assignment probabilities into binary treatment decisions. Our proposed solution preserves the marginal treatment probabilities while inducing negative correlations among assignments, leading to improved estimator precision through variance reduc…

Experimental search for electric dipole moments of light radioactive nuclei
Chavdar Dutsov, Timothy Hume, Maxim Pospelov, Philipp Schmidt-Wellenburg
https://arxiv.org/abs/2506.13588

Experimental search for electric dipole moments of light radioactive nuclei
We discuss a search for the electric dipole moment (EDM) of a light beta-radioactive ion using a compact ion trap by adapting the "frozen-spin" method. The measurement will be done on ions stripped of their valence electrons, thereby bypassing the significant Schiff screening that hinders the application of successful contemporary EDM searches using heavy neutral atoms and molecules to light nuclei. We identified $^8$Li as the most promising candidate for a proof-of-concept EDM search and we es…

P~R~Z – bear pills
#Drone

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
https://arxiv.org/abs/2506.…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, it is challenging to design a program that synchronizes the robot's movements with the experimental jigs to conduct an experiment. We propose a concept that enables the automation of experiments by utilizing dual demonstrations of robot motions and jig operations by chemists in an experimental environment constructed to be controlled by a robot. To verify t…

WIP: Exploring the Value of a Debugging Cheat Sheet and Mini Lecture in Improving Undergraduate Debugging Skills and Mindset
Andrew Ash, John Hu
https://arxiv.org/abs/2506.11339

WIP: Exploring the Value of a Debugging Cheat Sheet and Mini Lecture in Improving Undergraduate Debugging Skills and Mindset
This work-in-progress research paper explores the efficacy of a small-scale microelectronics debugging education intervention utilizing quasi-experimental design in an introductory microelectronics course for third-year electrical and computer engineering (ECE) students. In the first semester of research, the experimental group attended a debugging "mini lecture" covering two common sources of circuit error and received a debugging cheat sheet with recommendations for testing and hypothesis for…

Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
Sreeram Marimuthu, Nina Klimenkova, Roee Shraga
https://arxiv.org/abs/2506.12990

Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
Data discovery and table unionability in particular became key tasks in modern Data Science. However, the human perspective for these tasks is still under-explored. Thus, this research investigates the human behavior in determining table unionability within data discovery. We have designed an experimental survey and conducted a comprehensive analysis, in which we assess human decision-making for table unionability. We use the observations from the analysis to develop a machine learning framewor…

From Explicit Diffeomorphism Breaking to Spontaneous Unimodularization
Yuri Bonder, Johas D. Morales
https://arxiv.org/abs/2506.12499 https://

From Explicit Diffeomorphism Breaking to Spontaneous Unimodularization
This contribution investigates modifications of General Relativity that allow or mimic energy nonconservation. We focus on Unimodular Gravity (UG), a theory that explicitly breaks diffeomorphism invariance, and show that it can lead to particle acceleration, opening the door to experimental constraints. We also argue that UG admits a well-posed initial value formulation, despite the presence of nondynamical structures. Finally, we introduce a simple model that spontaneously mimics UG, but in wh…

Studying Maximal Entanglement and Bell Nonlocality at an Electron-Ion Collider
Wei Qi, Zijing Guo, Bo-Wen Xiao
https://arxiv.org/abs/2506.12889 https://

Studying Maximal Entanglement and Bell Nonlocality at an Electron-Ion Collider
In this paper, we propose to test quantum entanglement and Bell nonlocality at an Electron-Ion Collider (EIC). By computing the spin correlations in quark-antiquark pairs produced via photon-gluon fusion, we find that longitudinally polarized photons produce maximal entanglement at leading order, while transversely polarized photons generate significant entanglement near the threshold and in the ultra-relativistic regime. Compared to hadron colliders, the EIC provides a cleaner experimental env…

A simulation model investigation of neutron-oxygen inelastic scattering and subsequent nucleus deexcitation based on experimental data
Y. Hino, Y. Ashida, T. Tano, Y. Koshio
https://arxiv.org/abs/2506.14388

A simulation model investigation of neutron-oxygen inelastic scattering and subsequent nucleus deexcitation based on experimental data
The hadron interaction model for light nuclei plays an important role in understanding the event topology of neutrino-nucleus interaction in a large-scale neutrino detector. In the Super-Kamiokande experiment, the neutral current quasi-elastic interaction induced by atmospheric neutrinos introduces 68-82% uncertainty in the search for diffuse supernova neutrino background. This uncertainty stems from the mismodeling of the interaction between oxygen and fast neutrons generated by the neutral cu…

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai
https://arxiv.org/abs/2506.13835

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Silent speech decoding, which performs unvocalized human speech recognition from electroencephalography/electromyography (EEG/EMG), increases accessibility for speech-impaired humans. However, data collection is difficult and performed using varying experimental setups, making it nontrivial to collect a large, homogeneous dataset. In this study we introduce neural networks that can handle EEG/EMG with heterogeneous electrode placements and show strong performance in silent speech decoding via m…

Thermal Conductivity Of Monolayer Hexagonal Boron Nitride: Four-Phonon Scattering And Quantum Sampling Effects
Jos\'e Pedro Alvarinhas Batista, Matthieu J. Verstraete, Alo\"is Castellano
https://arxiv.org/abs/2506.14547

Thermal Conductivity Of Monolayer Hexagonal Boron Nitride: Four-Phonon Scattering And Quantum Sampling Effects
Monolayer hexagonal boron nitride is a prototypical planar 2-dimensional system material and has been the subject of many investigations of its exceptional vibrational, spectroscopic and transport properties. The lattice thermal conductivity remains quite uncertain, with theoretical and experimental reports varying between 218 and 1060 Wm-1K-1. It has a strong temperature evolution and is sensitive to strain effects and isotope concentrations. While the impact of isotope scattering has been wid…

Machine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator
Ivan A. Kazakov, Iana V. Kulichenko, Egor E. Kovalev, Angelina A. Treskova, Daria D. Barma, Kirill M. Malakhov, Arkady V. Shipulin
https://arxiv.org/abs/2506.13575

Machine Learning-Driven Compensation for Non-Ideal Channels in AWG-Based FBG Interrogator
We present an experimental study of a fiber Bragg grating (FBG) interrogator based on a silicon oxynitride (SiON) photonic integrated arrayed waveguide grating (AWG). While AWG-based interrogators are compact and scalable, their practical performance is limited by non-ideal spectral responses. To address this, two calibration strategies within a 2.4 nm spectral region were compared: (1) a segmented analytical model based on a sigmoid fitting function, and (2) a machine learning (ML)-based regre…

Experimental determination of the sodium K-shell atomic fundamental parameters for X-ray spectroscopy
Marie-Louis Venzke, Katja Frenzel, Philipp H\"onicke
https://arxiv.org/abs/2506.14352

Uncovering the nanoscopic phase behavior of ternary solutions in the presence of electrolytes: from pre-Ouzo to Ouzo region
Mingbo Li, Rushi Lai, Yadi Tian, Yawen Gao, Benlong Wang, Chao Sun
https://arxiv.org/abs/2506.13377

Uncovering the nanoscopic phase behavior of ternary solutions in the presence of electrolytes: from pre-Ouzo to Ouzo region
In this work, we report a comprehensive study of how electrolyte addition governs the structure and stability of surfactant-free microemulsions in a trans-anethol/ethanol/water system. The universal structural response has been validated, spanning the full range of solution dispersed-phase structurings, from sub-10 nm W/O reverse-aggregates to O/W mesoscopic droplets (~100 nm) and classical Ouzo droplets (~1 μm). Experimental results reveal that there is a threshold for electrolyte levels abov…

Correcting impedance measurements for background parasitics to characterize circuit components in cryogenic environments
Riley J. Carpenter, Jadyn Anczarski, Ivar Rydstrom, Aviv Simchony, Zoe J. Smith, Noah A. Kurinsky, Betty A. Young
https://arxiv.org/abs/2506.12268

Correcting impedance measurements for background parasitics to characterize circuit components in cryogenic environments
Predictable circuit response is a critical prerequisite for accurate electronic measurements. We describe a powerful, yet straightforward, experimental method and analysis model that utilizes an affordable LCR meter in conjunction with an in situ parasitic impedance background correction procedure to measure the temperature-dependent impedance (magnitude and phase) of individual passive circuit elements mounted in a cryostat. We show how the model unambiguously identified a 20x drop in capacita…

Misfit layered superconductor (PbSe)1.14(NbSe2)3 with possible layer-selective FFLO state
Yuki M. Itahashi, Yamato Nohara, Michiya Chazono, Hideki Matsuoka, Koichiro Arioka, Tetsuya Nomoto, Yoshimitsu Kohama, Youichi Yanase, Yoshihiro Iwasa, Kaya Kobayashi
https://arxiv.org/abs/2506.14106

Misfit layered superconductor (PbSe)1.14(NbSe2)3 with possible layer-selective FFLO state
Two-dimensional (2D) superconductors are known for their novel emergent phenomena, however, lack of experimental probes beyond resistivity has hindered further exploration of diverse superconducting states. Bulk 2D superconductors, with superconducting layers separated by non-superconducting layers, offer a unique opportunity to break this limit. Here, we synthesized a single crystal of misfit layered compound (PbSe)1.14(NbSe2)3, composed of alternately stacked tri-layer NbSe2 and non-supercond…

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Derk P. Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton
https://arxiv.org/abs/250…

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
Accurate thermochemical data with sub-chemical accuracy (i.e., within $\pm$1 kcal mol$^{-1}$ from sufficiently accurate experimental or theoretical reference data) is essential for the development and improvement of computational chemistry methods. Challenging thermochemical properties such as heats of formation and total atomization energies (TAEs) are of particular interest because they rigorously test the ability of computational chemistry methods to accurately describe complex chemical tran…

Electron Impact Fragmentation Dynamics of Carbonyl Sulfide: A Combined Experimental and Theoretical Study
Soumya Ghosh, Narayan Kundu, Aryya Ghosh, Dhananjay Nandi
https://arxiv.org/abs/2506.12528

Electron Impact Fragmentation Dynamics of Carbonyl Sulfide: A Combined Experimental and Theoretical Study
In this study, we examine the interactions of low- to intermediate-energy electrons (0$-$45 eV) with carbonyl sulfide (OCS). These collisions lead to the formation of several anionic fragments, including C$^-$, O$^-$, S$^-$, and SO$^-$. When the incident electron energy is below the first ionization potential of the molecule, dissociative electron attachment (DEA) process dominates, primarily yielding O$^-$ and S$^-$ fragments. At higher energies, beyond the ionization potential, ion-pair disso…

Half-integer thermal conductance in the absence of Majorana mode
Ujjal Roy, Sourav Manna, Souvik Chakraborty, Kenji Watanabe, Takashi Taniguchi, Ankur Das, Moshe Goldstein, Yuval Gefen, Anindya Das
https://arxiv.org/abs/2506.12526

Half-integer thermal conductance in the absence of Majorana mode
Considering a range of candidate quantum phases of matter, half-integer thermal conductance ($κ_{\text{th}}$) is believed to be an unambiguous evidence of non-Abelian states. It has been long known that such half-integer values arise due to the presence of Majorana edge modes, representing a significant step towards topological quantum computing platforms. Here we break this long-standing paradigm, reporting a comprehensive theoretical and experimental study where half-integer two-terminal the…

Numerical Modeling of n-Hexane Pyrolysis with an Optimized Kinetic Mechanism in a Hydrogen Plasma Reactor
Subin Choi, Chanmi Jung, Dae Hoon Lee, Jeongan Choi, Jaekwang Kim
https://arxiv.org/abs/2506.13789

Numerical Modeling of n-Hexane Pyrolysis with an Optimized Kinetic Mechanism in a Hydrogen Plasma Reactor
The physicochemical mechanisms underlying the pyrolysis of n-hexane in a high temperature Ar-H2 environment were investigated for plasma pyrolysis process. An optimal chemical kinetics model was developed using the Reaction Mechanism Generator (RMG), an automated tool for constructing reaction mechanisms. This model was validated through 0-D analyses, where simulation result were compared with existing kinetic models (LLNL,JetSurf) and experimental data from conventional n-hexane pyrolysis. Sub…

Compact representation and long-time extrapolation of real-time data for quantum systems
Andre Erpenbeck, Yuanran Zhu, Yang Yu, Lei Zhang, Richard Gerum, Olga Goulko, Chao Yang, Guy Cohen, Emanuel Gull
https://arxiv.org/abs/2506.13760

Compact representation and long-time extrapolation of real-time data for quantum systems
Representing real-time data as a sum of complex exponentials provides a compact form that enables both denoising and extrapolation. As a fully data-driven method, the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is agnostic to the underlying physical equations, making it broadly applicable to various observables and experimental or numerical setups. In this work, we consider applications of the ESPRIT algorithm primarily to extend real-time dynamical d…

Dynamically Dressed States of a Quantum Four-Level System
Carolin Calcagno, Friedrich Sbresny, Thomas K. Bracht, Sang Kyu Kim, Eduardo Zubizarreta Casalengua, Katarina Boos, William Rauhaus, Hubert Riedl, Jonathan J. Finley, Doris E. Reiter, Kai M\"uller
https://arxiv.org/abs/2506.14643…

Dynamically Dressed States of a Quantum Four-Level System
In this work, we experimentally and theoretically study the dressed-state emission of the biexciton-exciton cascade in a semiconductor quantum dot under pulsed, resonant, two-photon excitation. Building on the well-characterized steady-state dressed emission of the four-level system, we examine its dynamic counterpart under pulsed, resonant excitation, addressing both experimental observations and theoretical modeling. Here we report several sidebands emerging from the biexciton-to-exciton tran…

The use of cross validation in the analysis of designed experiments
Maria L. Weese, Byran J. Smucker, David J. Edwards
https://arxiv.org/abs/2506.14593 htt…

The use of cross validation in the analysis of designed experiments
Cross-validation (CV) is a common method to tune machine learning methods and can be used for model selection in regression as well. Because of the structured nature of small, traditional experimental designs, the literature has warned against using CV in their analysis. The striking increase in the use of machine learning, and thus CV, in the analysis of experimental designs, has led us to empirically study the effectiveness of CV compared to other methods of selecting models in designed exper…

Experimental investigation of the flow rate--pressure drop relation of a viscoelastic Boger fluid in a deformable channel
SungGyu Chun, Ivan C. Christov, Jie Feng
https://arxiv.org/abs/2506.10926

Experimental investigation of the flow rate--pressure drop relation of a viscoelastic Boger fluid in a deformable channel
We study the steady flow-induced deformation between an incompressible non-Newtonian fluid and a three-dimensional (3D) deformable channel. Specifically, we provide a comprehensive experimental--theoretical framework for such flows of constant-viscosity viscoelastic (i.e., Boger) fluids, which allows us to quantify the influence of the fluid's viscoelasticity on the flow rate--pressure drop ($q-Δp$) relation. For a flow-rate-controlled regime and weakly viscoelastic flow, we find excellent agr…

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design
Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour
https://arxiv.org/abs/2506.09508

Efficient Preference-Based Reinforcement Learning: Randomized Exploration Meets Experimental Design
We study reinforcement learning from human feedback in general Markov decision processes, where agents learn from trajectory-level preference comparisons. A central challenge in this setting is to design algorithms that select informative preference queries to identify the underlying reward while ensuring theoretical guarantees. We propose a meta-algorithm based on randomized exploration, which avoids the computational challenges associated with optimistic approaches and remains tractable. We e…

Secure API-Driven Research Automation to Accelerate Scientific Discovery
Tyler J. Skluzacek, Paul Bryant, A. J. Ruckman, Daniel Rosendo, Suzanne Prentice, Michael J. Brim, Ryan Adamson, Sarp Oral, Mallikarjun Shankar, Rafael Ferreira da Silva
https://arxiv.org/abs/2506.11950

Secure API-Driven Research Automation to Accelerate Scientific Discovery
The Secure Scientific Service Mesh (S3M) provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time streaming capabilities, intelligent workflow orchestration, and fine-grained authorization within a service mesh architecture, S3M revolutionizes programmatic access to high performance computing (HPC) while maintaining uncompromising security. This framework allows intelligent agents and experimental facilities to dyn…

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
Joshua Krause, Jelmer P. Borst, Jacolien van Rij
https://arxiv.org/abs/2506.13132

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
Additive smooth models, such as Generalized additive models (GAMs) of location, scale, and shape (GAMLSS), are a popular choice for modeling experimental data. However, software available to fit such models is usually not tailored specifically to the estimation of mixed models. As a result, estimation can slow down as the number of random effects increases. Additionally, users often have to provide a substantial amount of problem-specific information in case they are interested in more general …

Study of anisotropic flow of heavy hadrons in Au Au collisions at $\sqrt{s_{NN}} =$ 200 GeV using HYDJET framework
Sunidhi Saxena, Gauri Devi, Rajiv Gupta, Ajay Kumar
https://arxiv.org/abs/2506.12373

Study of anisotropic flow of heavy hadrons in Au + Au collisions at $\sqrt{s_{NN}} =$ 200 GeV using HYDJET++ framework
A comprehensive study of the anisotropic flow of heavy hadrons ($D^{0}$, $D^{\pm}$, and $Λ_{c}$) in Au + Au collisions at $\sqrt{s_{NN}} = 200$ GeV using the HYDJET++ model is presented. This study aims to explore the collective behavior and thermalization of charm hadrons at RHIC energy. The modeling of anisotropic flow is performed using a centrality-dependent parameterization of anisotropic parameters. Our model results are consistent with STAR experimental results up to $p_{T} = 4$ GeV/c. …

Meta reveals more information about its research glasses Aria Gen 2, including their form factor, computer vision cameras, sensors, and on-device compute (Emma Roth/The Verge)
https://www.theverge.com/news/679707/meta-aria-gen-2-upgrades-specs-ai

Here’s what’s inside Meta’s experimental new smart glasses
Meta has revealed the technical details about Aria Gen 2, the latest version of its experimental smart glasses designed for researchers.

Hydroxylated Mg-rich amorphous silicates as catalysts for molecular hydrogen formation in the interstellar medium
V. Mennella, T. Suhasaria, B. Kerkeni, G. Ouerfelli
https://arxiv.org/abs/2506.11596

Hydroxylated Mg-rich amorphous silicates as catalysts for molecular hydrogen formation in the interstellar medium
We present results from an experimental study on the interaction of atomic deuterium with Mg-rich amorphous enstatite and forsterite type silicates. Infrared spectroscopy was used to examine the process. During D atom exposure, deuteroxyl group formation was observed. The cross section for OD group formation, estimated from the OD stretching band intensity with D atom fluence, is 4.2.10^{-18} cm^2 for both silicates. HD (D2) molecules form via D atom abstraction of chemisorbed H(D) atoms from O…

Optimisation of Activator Solutions for Geopolymer Synthesis: Thermochemical Stability, Sequencing, and Standardisation
Ramon Skane, Franca Jones, Arie van Riessen, Evan Jamieson, Xiao Sun, William D. A. Rickard
https://arxiv.org/abs/2506.12941

Optimisation of Activator Solutions for Geopolymer Synthesis: Thermochemical Stability, Sequencing, and Standardisation
Geopolymers present a sustainable alternative to conventional binders, however, their commercial viability is hindered by a lack of standardised methods for preparing stabile activator solutions; alkaline feedstocks critical to geopolymer synthesis. This study presents a combined experimental and modelling approach to evaluate the thermochemical stability, solubility constraints, and silica speciation behaviour of sodium silicate-based activators. Using quantitative 29Si NMR analysis, thermodyn…

Smallest vertical beam sizes achieved in high-energy accelerators
Rogelio Tomas Garcia, Yukiyoshi Ohnishi, Frank Zimmermann
https://arxiv.org/abs/2506.12361

Smallest vertical beam sizes achieved in high-energy accelerators
FCC-ee aims at colliding electrons and positrons with vertical rms beam sizes between 30 and 50 nm with beam energies extending from about 40 GeV to 182.5 GeV. In this report, we collect experimental results of different high energy accelerator projects with comparable design vertical beam sizes.

This https://arxiv.org/abs/2411.14332 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Continuous nonlinear adaptive experimental design with gradient flow
In computational inverse problems, the optimal experimental design (OED) problem seeks the best locations in time and space at which to take measurements. We investigate the nonlinear OED problem in the context of continuously-indexed design space for the measurements. In contrast to traditional approaches that select experiments from a finite measurement set, a continuous design space is often a better reflection of practical experimental options, where there is considerable flexibility concer…

Shake-down spectroscopy as state- and site-specific probe of ultrafast chemical dynamics
Henry Thompson, Matteo Bonanomi, Jacob Pedersen, Oksana Plekan, Nitish Pal, Cesare Grazioli, Kevin C. Prince, Bruno N. C. Tenorio, Michele Devetta, Davide Faccial\`a, Caterina Vozzi, Paolo Piseri, Miltcho B. Danailov, Alexander Demidovich, Alexander D. Brynes, Alberto Simoncig, Marco Zangrando, Marcello Coreno, Raimund Feifel, Richard J. Squibb, David M. P. Holland, Felix Allum, Daniel Rolles, Pier…

Shake-down spectroscopy as state- and site-specific probe of ultrafast chemical dynamics
Tracking the multifarious ultrafast electronic and structural changes occurring in a molecule during a photochemical transformation is a challenging endeavor that benefits from recent experimental and computational progress in time-resolved techniques. Measurements of valence electronic states, which provide a global picture of the bonding structure of the molecule, and core electronic states, which provide insight into the local environment, traditionally require different approaches and are o…

BacPrep: An Experimental Platform for Evaluating LLM-Based Bacalaureat Assessment
Dumitran Adrian Marius, Dita Radu
https://arxiv.org/abs/2506.04989 https:…

BacPrep: An Experimental Platform for Evaluating LLM-Based Bacalaureat Assessment
Accessing quality preparation and feedback for the Romanian Bacalaureat exam is challenging, particularly for students in remote or underserved areas. This paper introduces BacPrep, an experimental online platform exploring Large Language Model (LLM) potential for automated assessment, aiming to offer a free, accessible resource. Using official exam questions from the last 5 years, BacPrep employs one of Google's newest models, Gemini 2.0 Flash (released Feb 2025), guided by official grading sc…

Kennedy Says 'Charlatans' Are No Reason to Block Unproven Stem Cell Treatments (Christina Jewett/New York Times)
https://www.nytimes.com/2025/06/05/health/kennedy-stem-cells-experimental-treatments.html
http://www.memeorandum.com/250605/p147#a250605p147

Programming tonight’s episode of @… radio and stumbled on our most recent 3–hour #Drone #Accordion special episode from last fall
That’ll keep me going through…

Accordion Noir radio playlist 2024-10-30: Electronic, Experimental & Drone Show IV: Night of the Restless
So… our podcast schedule got disrupted by the Internet Archive hack late last year, and we never quite got caught up. But we can get closer. Here, today, I can share with you our incredible e…

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators
Christian Reinmoser, Muqing Xu, Lev Haldar Kendrick, Anant Kale, Youqi Gang, Martin Lebrat, Markus Greiner, Fabian Grusdt, Annabelle Bohrdt
https://arxiv.org/abs/2506.11227

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators
In quantum many-body physics, one aims to understand emergent phenomena and effects of strong interactions, ideally by developing a simple theoretical picture. Recently, progress in quantum simulators has enabled the measurement of site resolved snapshots of Fermi-Hubbard systems at finite doping on square as well as triangular lattice geometries. These experimental advances pose the quest for theorists to analyze the ensuing data in order to gain insights into these prototypical, strongly corr…

Revised $B(E2; 2^{ }_{1} \rightarrow 0^{ }_{1})$ value in the semi-magic nucleus $^{210}$Pb
C. M. Nickel, V. Werner, G. Rainovski, P. R. John, M. Beckers, D. Bittner, A. Blazhev, A. Esmaylzadeh, C. Fransen, J. Garbe, L. Gerhard, K. Geusen, K. Gladnishki, A. Goldkuhle, K. E. Ide, J. Jolie, V. Karayonchev, R. Kern, E. Kleis, L. Kl\"ockner, D. Kocheva, M. Ley, H. Mayr, N. Pietralla, F. von Spee, M. Steffan, T. Stetz, J. Wiederhold

Revised $B(E2; 2^{+}_{1} \rightarrow 0^{+}_{1})$ value in the semi-magic nucleus $^{210}$Pb
The lifetime of the $2^+_1$ state of $^{210}$Pb was measured in the $^{208}$Pb($^{18}$O, $^{16}$O)$^{210}$Pb two-neutron transfer reaction by $γ$-ray spectroscopy employing the recoil-distance Doppler-shift method. The extracted absolute $B(E2)$$\downarrow$ value of ${119\;^{+\;9}_{-\;8}\;\hspace{-0pt}\,\text{e}^2\text{fm}^4}$ is consistent with previously reported measurements, but with significantly improved precision. The available experimental data for the $2^+_1$-$4^+_1$-$6^+_1$-$8^+_1$ m…

Robust and efficient multiple-unit switchback experimentation
Paul Missault, Lorenzo Masoero, Christian Delb\'e, Thomas Richardson, Guido Imbens
https://arxiv.org/abs/2506.12654

Robust and efficient multiple-unit switchback experimentation
User-randomized A/B testing has emerged as the gold standard for online experimentation. However, when this kind of approach is not feasible due to legal, ethical or practical considerations, experimenters have to consider alternatives like item-randomization. Item-randomization is often met with skepticism due to its poor empirical performance. To fill this gap, in this paper we introduce a novel and rich class of experimental designs, "Regular Balanced Switchback Designs" (RBSDs). At their co…

On the ambient conditions crystal structure of AgSbTe2
Baihong Sun, Sergei Grazhdannikov, Muhamed Dawod, Lunhua He, Jiazheng Hao, Thomas Meier, Yansun Yao, Yaron Amouyal, Elissaios Stavrou
https://arxiv.org/abs/2506.13526

On the ambient conditions crystal structure of AgSbTe2
We present a combined X-ray and neutron diffraction, Raman spectroscopy, and 121Sb NMR studies of AgSbTe2, supported by first-principles calculations aiming to elucidate its crystal structure. While diffraction methods cannot unambiguously resolve the structure, Raman and NMR data, together with electric field gradient calculations, strongly support the rhombohedral R-3m phase. Moreover, the agreement between experimental and calculated Raman spectra further corroborates this result, resolving …

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Remote fetch replies is set as experimental and also asynchronous, unclear if it would be ready for the final release. https://mastodon.social/@MastodonEngineering/114625074809479231

Study on the impact of radioactive background on Dark Count Rate of 20-inch MCP-PMTs
Zeyuan Feng, Zhaoyuan Peng, Haojie Dong, Yanfeng Li, Songyi Li, Xinzhou Guo, Wan Xie, Zhonghua Qin, Weiping Liu
https://arxiv.org/abs/2506.12470

Study on the impact of radioactive background on Dark Count Rate of 20-inch MCP-PMTs
This study systematically investigates the impact of natural radioactive background on the dark count rate (DCR) of 20-inch microchannel plate photomultiplier tubes (MCP-PMTs). Variations in PMT DCR under different radiation conditions were examined via underground tests, lead shielding experiments, and irradiation with \(^{55}\mathrm{Fe}\), \(^{60}\mathrm{Co}\), and \(^{90}\mathrm{Sr}\) sources. The experimental results indicate that natural radioactivity from surrounding air and rock in the u…

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Bastian J\"ackl, Vojt\v{e}ch Kloda, Daniel A. Keim, Jakub Loko\v{c}
https://arxiv.org/abs/2506.06938

Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Advances in multimodal text-image models have enabled effective text-based querying in extensive image collections. While these models show convincing performance for everyday life scenes, querying in highly homogeneous, specialized domains remains challenging. The primary problem is that users can often provide only vague textual descriptions as they lack expert knowledge to discriminate between homogenous entities. This work investigates whether adding location-based prompts to complement the…

> People think physical pain is inherently negative, like it’s pure badness. But when you lock eyes with Miss Pain Piggy and she holds her hand in ice water for 466 seconds straight, you start to question a lot of assumptions.
www.experimental-history.com/p/three-dumb-studies-for-your-consideration

About explosive delayed desorption from methane-doped argon matrices
M. A. Bludov, I. V. Khyzhniy, S. A. Uyutnov, E. V. Savchenko
https://arxiv.org/abs/2506.14726

About explosive delayed desorption from methane-doped argon matrices
The features of delayed desorption from CH4-doped Ar matrices irradiated with an electron beam of subthreshold energy were studied. Radiolysis products were detected by emission spectroscopy. The total desorption yield was monitored by recording the pressure in the experimental chamber. Based on the analysis of the concentration dependence of delayed desorption bursts and their structure, an assumption was made about the formation of CH4 clusters in Ar matrices. At a high dopant concentration o…

Optimal experiment design for practical parameter identifiability and model discrimination
Yue Liu (University of Oxford, Purdue University), Philip K. Maini (University of Oxford), Ruth E. Baker (University of Oxford)
https://arxiv.org/abs/2506.11311

Optimal experiment design for practical parameter identifiability and model discrimination
Mechanistic mathematical models of biological systems usually contain a number of unknown parameters whose values need to be estimated from available experimental data in order for the models to be validated and used to make quantitative predictions. This requires that the models are practically identifiable, that is, the values of the parameters can be confidently determined, given available data. A well-designed experiment can produce data that are much more informative for the purpose of inf…

Integrated Experimental and Numerical Investigations on the Thermo-Hydro-Mechanical Behavior of Clays and Argillaceous Rocks: A Perspective
Saeed Tourchi
https://arxiv.org/abs/2506.05818

Integrated Experimental and Numerical Investigations on the Thermo-Hydro-Mechanical Behavior of Clays and Argillaceous Rocks: A Perspective
This paper synthesizes nearly a decade of research on the coupled thermo-hydro-mechanical (THM) behavior of clays and argillaceous rocks. Drawing from experimental observations, numerical model development, and field-scale simulations, it presents a consolidated view of soil-structure interaction under thermal loading, desiccation cracking, and long-term excavation impacts. Key findings are drawn from constitutive modeling, in situ tests, and energy geostructure applications, offering a practic…

Experimental Covert Communication Using Software-Defined Radio
Rohan Bali, Trevor E. Bailey, Michael S. Bullock, Boulat A. Bash
https://arxiv.org/abs/2506.02297

Experimental Covert Communication Using Software-Defined Radio
The fundamental information-theoretic limits of covert, or low probability of detection (LPD), communication have been extensively studied for over a decade, resulting in the square root law (SRL): only $L\sqrt{n}$ covert bits can be reliably transmitted over time-bandwidth product $n$, for constant $L>0$. Transmitting more either results in detection or decoding errors. The SRL imposes significant constraints on hardware realization of provably-secure covert communication. Thus, experimental v…

Experimental Verification of Entangled States in the Adversarial Scenario
Wen-Hao Zhang, Zihao Li, Gong-Chu Li, Xu-Song Hong, Huangjun Zhu, Geng Chen, Chuan-Feng Li, Guang-Can Guo
https://arxiv.org/abs/2506.10655

Experimental Verification of Entangled States in the Adversarial Scenario
Efficient verification of entangled states is crucial to many applications in quantum information processing. However, the effectiveness of standard quantum state verification (QSV) is based on the condition of independent and identical distribution (IID), which impedes its applications in many practical scenarios. Here we demonstrate a defensive QSV protocol, which is effective in all kinds of non-IID scenarios, including the extremely challenging adversarial scenario. To this end, we build a …

Experimental evidence of the topological obstruction in twisted bilayer graphene
F. Mesple, P. Mallet, C. Dutreix, G. Lapertot, J-Y. Veuillen, V. T. Renard
https://arxiv.org/abs/2506.08913

Experimental evidence of the topological obstruction in twisted bilayer graphene
The rich physics of magic angle twisted bilayer graphene (TBG) results from the Coulomb interactions of electrons in flat bands of non-trivial topology. While the bands' dispersion is well characterized, accessing their topology remains an experimental challenge. Recent measurements established the local density of states (LDOS) as a topological observable. Here, we use scanning tunnelling microscopy to investigate the LDOS of TBG near a defect. We observe characteristic patterns resulting from…

When folks open a GitHub issue on one of your random-ass experimental learning repositories.

Multi-angle precession electron diffraction (MAPED): a versatile approach to 4D-STEM precession
Stephanie M. Ribet, Rohan Dhall, Colin Ophus, Karen C. Bustillo
https://arxiv.org/abs/2506.11327

Multi-angle precession electron diffraction (MAPED): a versatile approach to 4D-STEM precession
Precession of a converged beam during acquisition of a 4D-STEM dataset improves strain, orientation, and phase mapping accuracy by averaging over continuous angles of illumination. Precession experiments usually rely on integrated systems, where automatic alignments lead to fast, high-quality results. The dependence of these experiments on specific hardware and software is evident even when switching to non-integrated detectors on a precession tool, as experimental set-up becomes challenging an…

Experimental demonstration of attosecond hard X-ray pulses
Ichiro Inoue, River Robles, Aliaksei Halavanau, Veronica Guo, Thomas M. Linker Andrei Benediktovitch, Stasis Chuchurka, Matthew H. Seaberg, Yanwen Sun, Diling Zhu, David Cesar, Yuantao Ding, Vincent Esposito, Paris Franz, Nicholas S. Sudar, Zhen Zhang, Taito Osaka, Gota Yamaguchi, Yasuhisa Sano, Kazuto Yamauchi, Jumpei Yamada, Uwe Bergmann, Matthias F. Kling, Claudio Pellegrini, Makina Yabashi, Nina Rohringer, Takahiro Sato, Ag…

Experimental demonstration of attosecond hard X-ray pulses
We present the first direct experimental confirmation of attosecond pulse generation in the hard X-ray regime with a free-electron laser. Our experiment is based on measurements of a nonlinear optical phenomenon known as amplified spontaneous emission (ASE) from 3d transition metals. By analyzing the yield of the collective X-ray fluorescence induced by ultrashort pulses at the Linac Coherent Light Source, we identify the generation of attosecond pulses and shot-to-shot fluctuations in their du…

This https://arxiv.org/abs/2506.05142 has been replaced.
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Do Large Language Models Judge Error Severity Like Humans?
Large Language Models (LLMs) are increasingly used as automated evaluators in natural language generation, yet it remains unclear whether they can accurately replicate human judgments of error severity. In this study, we systematically compare human and LLM assessments of image descriptions containing controlled semantic errors. We extend the experimental framework of van Miltenburg et al. (2020) to both unimodal (text-only) and multimodal (text + image) settings, evaluating four error types: a…

Updated line list for the principal isotopologue of carbon monoxide
Vladimir G. Ushakov, Emile S. Medvedev
https://arxiv.org/abs/2506.12216 https://…

Updated line list for the principal isotopologue of carbon monoxide
The line list for the principal isotopologue of CO calculated earlier by the present authors [1, 2] with the irregular dipole-moment function (DMF) is updated with use of the recent high-precision measurements in the 3-0 [3, 4] (Bielska et al. 2022, Hodges et al. 2025) and 7-0 [5] (Balashov et al. 2023) bands. The new data came in contradiction with the experimental data on the 1-0 band [6, 7]. Therefore, we performed fitting several model DMFs to the modified original data set of Meshkov et al…

Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
Petar Jaku\v{s}, Hrvoje D\v{z}apo
https://arxiv.org/abs/2506.08911 https:/…

Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
This paper presents a keyword spotting (KWS) system implemented on the NXP MCXN947 microcontroller with an integrated Neural Processing Unit (NPU), enabling real-time voice interaction on resource-constrained devices. The system combines MFCC feature extraction with a CNN classifier, optimized using Quantization Aware Training to reduce model size with minimal accuracy drop. Experimental results demonstrate a 59x speedup in inference time when leveraging the NPU compared to CPU-only execution, …

This https://arxiv.org/abs/2307.06343 has been replaced.
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Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning
In X-ray Computed Tomography (CT), projections from many angles are acquired and used for 3D reconstruction. To make CT suitable for in-line quality control, reducing the number of angles while maintaining reconstruction quality is necessary. Sparse-angle tomography is a popular approach for obtaining 3D reconstructions from limited data. To optimize its performance, one can adapt scan angles sequentially to select the most informative angles for each scanned object. Mathematically, this corres…

Structured Column Subset Selection for Bayesian Optimal Experimental Design
Hugo D\'iaz, Arvind K. Saibaba, Srinivas Eswar, Vishwas Rao, Zichao Wendy Di
https://arxiv.org/abs/2506.00336

Structured Column Subset Selection for Bayesian Optimal Experimental Design
We consider optimal experimental design (OED) for Bayesian inverse problems, where the experimental design variables have a certain multiway structure. Given $d$ different experimental variables with $m_i$ choices per design variable $1 \le i\le d$, the goal is to select $k_i \le m_i$ experiments per design variable. Previous work has related OED to the column subset selection problem by mapping the design variables to the columns of a matrix $\mathbf{A}$. However, this approach is applicable o…

Continuous-Time Output Feedback Adaptive Control for Stabilization and Tracking with Experimental Results
Mohammad Mirtaba, Ankit Goel
https://arxiv.org/abs/2506.08042

Continuous-Time Output Feedback Adaptive Control for Stabilization and Tracking with Experimental Results
This paper presents a continuous-time output feedback adaptive control technique for stabilization and tracking control problems. The adaptive controller is motivated by the classical discrete-time retrospective cost adaptive control algorithm. The particle swarm optimization framework automates the adaptive algorithm's hyper-parameter tuning. The proposed controller is numerically validated in the tracking problems of a double integrator and a bicopter system and is experimentally validated in…

This https://arxiv.org/abs/2412.12186 has been replaced.
initial toot: https://mastoxiv.page/@…

Emergent electrostatics in planar XY spin models: the bridge connecting topological order with broken $U(1)$ symmetry
Topological phases have been a central focus of condensed-matter physics for over 50 years. Along with many experimental applications, they have provided much intellectual interest due to their characterization via some form of topological ordering, as opposed to the symmetry-breaking ordering of conventional continuous phase transitions. This distinction is most subtle in the case of the Berezinskii-Kosterlitz-Thouless (BKT) transition as its experimental realizations appear to break U(1) symm…

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, Richard Messerly
https://arxiv.org/abs/2506.10211

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Machine learning interatomic potentials (MLIPs) are inherently limited by the accuracy of the training data, usually consisting of energies and forces obtained from quantum mechanical calculations, such as density functional theory (DFT). Since DFT itself is based on several approximations, MLIPs may inherit systematic errors that lead to discrepancies with experimental data. In this paper, we use a trajectory re-weighting technique to refine DFT pre-trained MLIPs to match the target experiment…

Experimental Efficient Influence Sampling of Quantum Processes
Hao Zhan, Zongbo Bao, Zekun Ye, Qianyi Wang, Minghao Mi, Penghui Yao, Lijian Zhang
https://arxiv.org/abs/2506.07103 …

Experimental Efficient Influence Sampling of Quantum Processes
Characterizing quantum processes paves the way for unlocking the full potential of quantum systems. However, quantum process tomography demands intensive resources and becomes infeasible on large-scale quantum devices. Other methods have explored advanced strategies, yet challenges in experimental feasibility and scalability persist. To address this issues, we introduce influence sampling that efficiently extracts the key \textit{influence} of a quantum process on qubit subsets using at most th…

Systematic study of charm meson M1 radiative transitions
Binesh Mohan, Christas Mony A., Rohit Dhir
https://arxiv.org/abs/2506.10560 https://

Systematic study of charm meson M1 radiative transitions
Motivated by recent experimental advancements in the study of radiative decays of charmed mesons, we investigate the magnetic (transition) moments of vector mesons by applying the effective mass scheme, obtained from the one-gluon exchange interaction between quark-antiquark pairs. By incorporating high-precision experimental data from both heavy and light flavor sectors, we accurately account for the strong hyperfine interaction contributions to the quark and antiquark masses within mesons. We…

Experimental Study On Flashing-Induced Instabilities In An Open Natural Circulation System
Yuliang Fang, Xiaxin Cao, Wenxi Tian
https://arxiv.org/abs/2506.06213

Experimental Study On Flashing-Induced Instabilities In An Open Natural Circulation System
The natural circulation system (NCS) uses gravity pressure drop caused by density differences in the loop to generate the driving force without any external mechanical devices, which has been widely applied to the design of the nuclear reactor system and the passive safety system due to its simple structure, high intrinsic safety, and strong heat discharge capacity. However, the low-pressure condition can lead to a two-phase flow and make the flow characteristics in the NCS more complex. Flashi…

Inverted Classroom in der Einf\"uhrungsveranstaltung Programmierung
Ulrich von Zadow, Natalie Kiesler
https://arxiv.org/abs/2506.10057 https://…

Inverted Classroom in der Einführungsveranstaltung Programmierung
Traditionally, the introductory programming course for computer science students at Nuremberg Tech had been implemented as a combination of lectures and exercise sessions. Due to high failure rates in the winter semester 2023/24, an experimental teaching concept based on the inverted classroom was implemented for one cohort in the winter semester 2024/25. Students had to prepare themselves through literature work and activating teaching and learning methods. The course was accompanied by a seri…

Experimental observation of subabsorption
D. C. Gold, U. Saglam, S. Carpenter, A. Yadav, M. Beede, T. G. Walker, M. Saffman, D. D. Yavuz
https://arxiv.org/abs/2506.09872

Experimental observation of subabsorption
We predict and experimentally demonstrate a new type of collective (cooperative) coupling effect where a disordered atomic ensemble absorbs light with a rise-time longer (i. e., at a rate slower) than what is dictated by single-atom physics. This effect, which we name subabsorption, can be viewed as the absorptive analog of subradiance. The experiment is performed using a dilute ensemble of ultracold $^{87}$Rb atoms with a low optical depth, and time-resolving the absorption of a weak (tens of …

Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System
Maria Voreakou, George Kousiouris, Mara Nikolaidou
https://arxiv.org/abs/2506.10693

Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System
Energy consumption in current large scale computing infrastructures is becoming a critical issue, especially with the growing demand for centralized systems such as cloud environments. With the advancement of microservice architectures and the Internet of Things, messaging systems have become an integral and mainstream part of modern computing infrastructures, carrying out significant workload in a majority of applications. In this paper, we describe an experimental process to explore energy-ba…

Search for post-inflationary QCD axions with a quantum-limited tunable microwave receiver
Giosu\`e Sardo Infirri, David Alesini, Caterina Braggio, Giulio Cappelli, Giovanni Carugno, Domenico D'Agostino, Alessandro D'Elia, Daniele Di Gioacchino, Raffaele Di Vora, Martina Esposito, Paolo Falferi, Umberto Gambardella, Antonios Gardikiotis, Claudio Gatti, Carlo Ligi, Giordano Lilli, Augusto Lombardi, Giovanni Maccarrone, Dora Maiello, Antonello Ortolan, Arpit Ranadive, Alessio Rett…

Search for post-inflationary QCD axions with a quantum-limited tunable microwave receiver
A search for cosmological axions has been performed by scanning a frequency region of $38\,$MHz centered at about $10.2\,$GHz, corresponding to an axion mass $m_a \simeq 42\,μ$eV. The QUAX experimental apparatus, a haloscope comprised of a 1-liter volume tunable cavity immersed in an $8\,$T magnetic field and a quantum-limited detection chain, set limits on the axion-photon coupling at the $10^{-14}\,$GeV$^{-1}$ level. As no signal candidate has been observed, viable hadronic axion models are …

Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation
Chendong Xin, Mingrui Yu, Yongpeng Jiang, Zhefeng Zhang, Xiang Li
https://arxiv.org/abs/2506.09384

Analyzing Key Objectives in Human-to-Robot Retargeting for Dexterous Manipulation
Kinematic retargeting from human hands to robot hands is essential for transferring dexterity from humans to robots in manipulation teleoperation and imitation learning. However, due to mechanical differences between human and robot hands, completely reproducing human motions on robot hands is impossible. Existing works on retargeting incorporate various optimization objectives, focusing on different aspects of hand configuration. However, the lack of experimental comparative studies leaves the…

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
M. Cipriani, F. Consoli, M. Scisci\`o, A. Solovjovas, I. A. Petsi, M. Malinauskas, P. Andreoli, G. Cristofari, E. Di Ferdinando, G. Di Giorgio
https://arxiv.org/abs/2506.04017

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
Inertial confinement fusion requires a constant search for the most effective materials for improving the efficiency of the compression of the capsule and of the laser-to-target energy transfer. Foams could provide a solution to these problems, but they require further experimental and theoretical investigation. The new 3D-printing technologies, such as the two-photon polymerization, are opening a new era in the production of foams, allowing for the fine control of the material morphology. Deta…

This https://arxiv.org/abs/2505.19038 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias
Accurately predicting the long-term evolution of turbulence is crucial for advancing scientific understanding and optimizing engineering applications. However, existing deep learning methods face significant bottlenecks in long-term autoregressive prediction, which exhibit excessive smoothing and fail to accurately track complex fluid dynamics. Our extensive experimental and spectral analysis of prevailing methods provides an interpretable explanation for this shortcoming, identifying Spectral …

Experimental Exclusion of Planetary Mass Primordial Black Hole Mergers
William M. Campbell, Leonardo Mariani, Michael E. Tobar, Maxim Goryachev
https://arxiv.org/abs/2506.03609

Experimental Exclusion of Planetary Mass Primordial Black Hole Mergers
The multi-mode acoustic gravitational wave experiment (MAGE) is a high-frequency gravitational wave detection experiment featuring cryogenic quartz bulk acoustic wave resonators operating as sensitive strain antennas in the MHz regime. After 61 days of non-continuous data collection, we present bounds on the observable merger rate density of primordial black hole binary systems of chirp mass $1.2\times10^{-4}M_\odot<\mathcal{M}<1.7\times10^{-9}M_\odot$. The maximum achieved limit on the merger …

Prediction and control of geometry-induced nematic order in growing multicellular systems
Lukas Hupe, Jonas Isensee, Ramin Golestanian, Philip Bittihn
https://arxiv.org/abs/2506.10867

Prediction and control of geometry-induced nematic order in growing multicellular systems
In densely-packed two-dimensional systems of growing cells, such as rod-shaped bacteria, a number of experimental and numerical studies report distinct patterns of nematic orientational order in the presence of confinement. So far, these effects have been explained using variations of growing active nematic continuum theories, which incorporate feedback between growth-induced active stresses, the resulting material flow and nematic orientation, and were adapted to the specific geometry under in…

Is Your Training Pipeline Production-Ready? A Case Study in the Healthcare Domain
Daniel Lawand (University of S\~ao Paulo), Lucas Quaresma (University of S\~ao Paulo), Roberto Bolgheroni (University of S\~ao Paulo), Alfredo Goldman (University of S\~ao Paulo), Renato Cordeiro Ferreira (University of S\~ao Paulo, Jheronimus Academy of Data Science, Technical University of Eindhoven, Tilburg University)

Is Your Training Pipeline Production-Ready? A Case Study in the Healthcare Domain
Deploying a Machine Learning (ML) training pipeline into production requires robust software engineering practices. This differs significantly from experimental workflows. This experience report investigates this challenge in SPIRA, a project whose goal is to create an ML-Enabled System (MLES) to pre-diagnose insufficiency respiratory via speech analysis. The first version of SPIRA's training pipeline lacked critical software quality attributes. This paper presents an overview of the MLES, then…

Experimental Test of the Principle of Tomographic Locality
Tristan S. Lismer, Kaleb B. Felefele, Robert W. Spekkens, Kevin J. Resch
https://arxiv.org/abs/2506.07775

Experimental Test of the Principle of Tomographic Locality
The principle of tomographic locality states that the operational state of a multipartite system can be fully characterized by the statistics obtained from measurements that are local to the individual subsystems. This property holds in quantum theory and features prominently in axiomatic reconstructions of the theory, where it serves to rule out a wide class of alternatives. For instance, quantum theory with Hilbert spaces defined over the real field (rather than the complex field) is an examp…

Chiral Diffraction from Aperiodic Monotile Lattice
Yuto Moritake, Masato Takiguchi, Takuma Aihara, Masaya Notomi
https://arxiv.org/abs/2506.07561 https://

Chiral Diffraction from Aperiodic Monotile Lattice
Aperiodic systems such as quasiperiodic systems exhibit unique properties different from periodic structures. In 2023, Smith et al. discovered a new aperiodic structure: a single-shaped tile that can only tile space aperiodically, known as an aperiodic monotile. Although the aperiodic monotile possesses intriguing mathematical properties, its experimental investigation remains unexplored. In this study, we report an experimental investigation of diffraction patterns from a monotile lattice usin…

This https://arxiv.org/abs/2309.02073 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
Completely randomized experiment is the gold standard for causal inference. When the covariate information for each experimental candidate is available, one typical way is to include them in covariate adjustments for more accurate treatment effect estimation. In this paper, we investigate this problem under the randomization-based framework, i.e., that the covariates and potential outcomes of all experimental candidates are assumed as deterministic quantities and the randomness comes solely fro…

Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system
Sanna Jarl, Jens Sj\"olund, Robert J. W. Frost, Anders Holst, Jonathan J. S. Scragg
https://arxiv.org/abs/2506.05999

Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system
Self-driving labs (SDLs), employing automation and machine learning (ML) to accelerate experimental procedures, have enormous potential in the discovery of new materials. However, in thin film science, SDLs are mainly restricted to solution-based synthetic methods which are easier to automate but cannot access the broad chemical space of inorganic materials. This work presents an SDL based on magnetron co-sputtering. We are using combinatorial frameworks, obtaining accurate composition maps on …

Experimental memory control in continuous variable optical quantum reservoir computing
Iris Paparelle, Johan Henaff, Jorge Garcia-Beni, Emilie Gillet, Gian Luca Giorgi, Miguel C. Soriano, Roberta Zambrini, Valentina Parigi
https://arxiv.org/abs/2506.07279

Experimental memory control in continuous variable optical quantum reservoir computing
Quantum reservoir computing (QRC) offers a promising framework for online quantum-enhanced machine learning tailored to temporal tasks, yet practical implementations with native memory capabilities remain limited. Here, we demonstrate an optical QRC platform based on deterministically generated multimode squeezed states, exploiting both spectral and temporal multiplexing in a fully continuous-variable (CV) setting, and enabling controlled fading memory. Data is encoded via programmable phase sh…

Exact eigenvalues and experimental signatures of Heisenberg-Kitaev interactions in spin-1/2 quantum clusters
Evan M. Wilson, Jian-Xin Zhu, Jason T. Haraldsen
https://arxiv.org/abs/2506.06967

Exact eigenvalues and experimental signatures of Heisenberg-Kitaev interactions in spin-1/2 quantum clusters
We investigate the thermodynamics and energy eigenstates of a spin-1/2 coupled trimer, tetramer in a star configuration, and tetrahedron. Using a Heisenberg Hamiltonian with additional Kitaev interactions, we explore the thermodynamic signatures of the Kitaev interaction. Our results show that introducing a Kitaev interaction generates a second Schottky anomaly in the heat capacity for systems with a large K/J ratio. The Kitaev term also introduces nonlinear eigenvalues with respect to a magnet…

Image-Based Biospeckle Contrast Analysis for Rapid Antimicrobial Susceptibility Testing
M. A. Gameiro, R. F. Pinto, N. V. Lopes
https://arxiv.org/abs/2506.09604

Image-Based Biospeckle Contrast Analysis for Rapid Antimicrobial Susceptibility Testing
Purpose: Antimicrobial resistance is a major global health concern, affecting hospital admissions and treatment success. This study aims to introduce an experimental setup for monitoring bacterial activity over time using image-based contrast as a key biomarker. Methods: The proposed method captures changes in bacterial activity by analyzing variations in image contrast. The approach is evaluated for its ability to detect antimicrobial effects over shorter time intervals compared to conventiona…

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
Chao Wang, Lei Chang, Ling-Feng Lu, Shunjiro Shinohara, Zhi-De Zeng, Ilya Zadiriev, Elena Kralkina, Zhi Li, Shi-Jie Zhang, Zi-Chen Kan, Ye Tao, Ding-Zhou Li
https://arxiv.org/abs/2506.10493…

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
The spatial and temporal evolutions of blue-core helicon discharge driven by a planar antenna with four concentric rings are explored on the Linear Experimental Advanced Device (LEAD). The discharge experiences distinct density jumps from E mode to H mode, W mode, and blue-core mode, when RF input power increases. This is similar to previous observations using other typical helicon antennas; however, this special antenna could drive modes of even higher levels for which the blue-core plasma col…

This https://arxiv.org/abs/2503.17945 has been replaced.
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Deep Learning Assisted Denoising of Experimental Micrographs
Microstructure imaging is crucial in materials science, but experimental images often introduce noise that obscures critical structural details. This study presents a novel deep learning approach for robust microstructure image denoising, combining phase-field simulations, Fourier transform techniques, and an attention-based neural network. The innovative framework addresses dataset limitations by synthetically generating training data by combining computational phase-field microstructures with…

Nucleon Decays into Light New Particles in Neutrino Detectors
Julian Heeck, Ian M. Shoemaker
https://arxiv.org/abs/2506.08090 https://

Nucleon Decays into Light New Particles in Neutrino Detectors
Proton and neutron decays into light new particles $X$ can drastically change the experimental signatures and benefit from the complementarity of large water-Cherenkov neutrino detectors such as Super/Hyper-Kamiokande and tracking detectors such as JUNO and DUNE. The proton decays $p\to \ell^+ X$ and $p\to π^+ X$ with $m_X$ near phase-space closure lead to charged particles below Cherenkov threshold, rendering them practically invisible in Super- and Hyper-Kamiokande but not in JUNO and DUNE, …

Novel Experimental Platform to realize One-dimensional Quantum Fluids
Stephanie McNamara, Prabin Parajuli, Sutirtha Paul, Garfield Warren, Adrian Del Maestro, Paul E. Sokol
https://arxiv.org/abs/2506.03200

Novel Experimental Platform to realize One-dimensional Quantum Fluids
Templated porous materials, such as MCM-41, due to the uniformity of their onedimensional structure and scalability in synthesis, have emerged as an attractive medium for studying one-dimensional quantum fluids. However, the experimental challenge of synthesizing these materials with pore radii smaller than 15 Angstroms hinders the realization of a one-dimensional quantum liquid of helium within such systems, as the coherence length of helium is shorter than the pore radius. Recently, DelMaestr…

A cavity array microscope for parallel single-atom interfacing
Adam L. Shaw, Anna Soper, Danial Shadmany, Aishwarya Kumar, Lukas Palm, Da-Yeon Koh, Vassilios Kaxiras, Lavanya Taneja, Matt Jaffe, David I. Schuster, Jonathan Simon
https://arxiv.org/abs/2506.10919

A cavity array microscope for parallel single-atom interfacing
Neutral atom arrays and optical cavity QED systems have developed in parallel as central pillars of modern experimental quantum science. While each platform has demonstrated exceptional capabilities-such as high-fidelity quantum logic in atom arrays, and strong light-matter coupling in cavities-their combination holds promise for realizing fast and non-destructive atom measurement, building large-scale quantum networks, and engineering hybrid atom-photon Hamiltonians. However, to date, experime…

Recover Experimental Data with Selection Bias using Counterfactual Logic
Jingyang He, Shuai Wang, Ang Li
https://arxiv.org/abs/2506.00335 https://

Recover Experimental Data with Selection Bias using Counterfactual Logic
Selection bias, arising from the systematic inclusion or exclusion of certain samples, poses a significant challenge to the validity of causal inference. While Bareinboim et al. introduced methods for recovering unbiased observational and interventional distributions from biased data using partial external information, the complexity of the backdoor adjustment and the method's strong reliance on observational data limit its applicability in many practical settings. In this paper, we formally di…

Landauer Principle and Thermodynamics of Computation
Pritam Chattopadhyay, Avijit Misra, Tanmoy Pandit, Goutam Paul
https://arxiv.org/abs/2506.10876 https:…

Landauer Principle and Thermodynamics of Computation
According to the Landauer principle, any logically irreversible process accompanies entropy production, which results in heat dissipation in the environment. Erasing of information, one of the primary logically irreversible processes, has a lower bound on heat dissipated into the environment, called the Landauer bound (LB). However, the practical erasure processes dissipate much more heat than the LB. Recently, there have been a few experimental investigations to reach this bound both in the cl…

Magnetophoresis of Weakly Magnetic Nanoparticle Suspension Around a Wire
Mohd Bilal Khan, Peter Rassolov, Jamel Ali, Theo Siegrist, Munir Humayun, Hadi Mohammadigoushki
https://arxiv.org/abs/2506.10018

Magnetophoresis of Weakly Magnetic Nanoparticle Suspension Around a Wire
We present a combined experimental and numerical study into the magnetophoresis behavior of weakly magnetic nanoparticle suspensions in the vicinity of a wire under a non-uniform magnetic field and negligible inertia. The experiments were conducted within a closed rectangular cuvette, with a wire positioned between the poles of an electromagnet. Two types of nanoparticles, paramagnetic manganese oxide and diamagnetic bismuth oxide, were studied across a broad range of concentrations (10-100 mgL…

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits
Fabrizio Berritta, Jacob Benestad, Jan A. Krzywda, Oswin Krause, Malthe A. Marciniak, Svend Kr{\o}jer, Christopher W. Warren, Emil Hogedal, Andreas Nylander, Irshad Ahmad, Amr Osman, Janka Bizn\'arov\'a, Marcus Rommel, Anita Fadavi Roudsari, Jonas Bylander, Giovanna Tancredi, Jeroen Danon, Jacob Hastrup, Ferdinand Kuemmeth, Morten Kjaergaard

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits
The fidelity of operations on a solid-state quantum processor is ultimately bounded by decoherence effects induced by a fluctuating environment. Characterizing environmental fluctuations is challenging because the acquisition time of experimental protocols limits the precision with which the environment can be measured and may obscure the detailed structure of these fluctuations. Here we present a real-time Bayesian method for estimating the relaxation rate of a qubit, leveraging a classical co…

Realistic quantum network simulation for experimental BBM92 key distribution
Michelle Chalupnik, Brian Doolittle, Suparna Seshadri, Eric G. Brown, Keith Kenemer, Daniel Winton, Daniel Sanchez-Rosales, Matthew Skrzypczyk, Cara Alexander, Eric Ostby, Michael Cubeddu
https://arxiv.org/abs/2505.24851…

Realistic quantum network simulation for experimental BBM92 key distribution
Quantum key distribution (QKD) can provide secure key material between two parties without relying on assumptions about the computational power of an eavesdropper. QKD is performed over quantum links and quantum networks, systems which are resource-intensive to deploy and maintain. To evaluate and optimize performance prior to, during, and after deployment, realistic simulations with attention to physical realism are necessary. Quantum network simulators can simulate a variety of quantum and cl…

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Gaurav Shukla, Shahram Panahiyan, Devendra Kumar Mishra, Frank Schlawin
https://arxiv.org/abs/2506.07384

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Recent theoretical and experimental studies have shown that squeezed states of light can be engineered to enhance the resolution of nonlinear optical measurements. Here, we analyze non-degenerate two-photon absorption signals obtained from transmission measurements using two-mode squeezed light and compare different measurement strategies. In particular, we investigate how correlations between the light modes may be used to improve the achievable precision. We find that intensity correlation me…

This https://arxiv.org/abs/2405.01786 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

On computational complexity and average-case hardness of shallow-depth boson sampling
Boson sampling, a computational task believed to be classically hard to simulate, is expected to hold promise for demonstrating quantum computational advantage using near-term quantum devices. However, noise in experimental implementations poses a significant challenge, potentially rendering boson sampling classically simulable and compromising its classical intractability. Numerous studies have proposed classical algorithms under various noise models that can efficiently simulate boson samplin…

Polarization properties of photon Bose-Einstein condensates
Sven Enns, Julian Schulz, Kirankumar Karkihalli Umesh, Frank Vewinger, Georg von Freymann
https://arxiv.org/abs/2506.06141

Polarization properties of photon Bose-Einstein condensates
The first experimental realization of a photon Bose-Einstein condensate was demonstrated more than a decade ago. However, the polarization of the condensate has not been fully understood and measured in this weakly driven-dissipative system. In this letter, we experimentally investigate the polarization of thermal and condensed light depending on the power and polarization of the pump beam. With full control over the polarization of the pump, it is possible to create arbitrary states on the sur…