Tootfinder

Don't trust chatbots.
They may be very useful, if only you don't set them to do stuff they should never do. Anything requiring precision, for instance. Customer support, for instance. They're NOT for that.
https://mastodon.social/@jeffjarvis/11258659668784…

Simple Golf
Really Simple Golf is a climbing platformer golf, that blends chill vibes with precision driven adventure. Embark on an adventure across vibrant courses, mastering tricky shoots, navigating obstacles, and sinking those perfect putts.
https://15joldersmat.itch.io/simple-go

Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning
Helen Qu
https://arxiv.org/abs/2406.04529 https://arx…

Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning
The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large synoptic surveys, e.g., Dark Energy Survey (DES), have observed thousands more SNe Ia and the upcoming Rubin Legacy Survey of Space and Time (LSST) and Roman Space Telescope promise to deliver millions in the next decade. This unprecedented data volume can be used to test concordance cosmology. However, extracting a pure SN Ia sample with accu…

Distribution of the number of prime factors with a given multiplicity
Ertan Elma, Greg Martin
https://arxiv.org/abs/2406.04574 https://

Distribution of the number of prime factors with a given multiplicity
Given an integer $k\ge2$, let $ω_k(n)$ denote the number of primes that divide $n$ with multiplicity exactly $k$. We compute the density $e_{k,m}$ of those integers $n$ for which $ω_k(n)=m$ for every integer $m\ge0$. We also show that the generating function $\sum_{m=0}^\infty e_{k,m}z^m$ is an entire function that can be written in the form $\prod_{p} \bigl(1+{(p-1)(z-1)}/{p^{k+1}} \bigr)$; from this representation we show how to both numerically calculate the $e_{k,m}$ to high precision and…

Dog Heart Rate and Blood Oxygen Metaverse Monitoring System
Yanhui (Janelle), Jiang, Jin Cao, Chang Yu
https://arxiv.org/abs/2406.04466 https://

Dog Heart Rate and Blood Oxygen Metaverse Monitoring System
This study developed an improved dog heart rate and blood oxygen sensor system using Arduino. Traditional methods face accuracy and reliability issues. Our system integrates advanced computational techniques with hardware-based sensing to enhance measurement precision. An Arduino microcontroller connected to a heart rate and blood oxygen sensor collects raw data, which is preprocessed and filtered to remove noise. Experimental plans include long-term monitoring of multiple dogs and comparative …

This https://arxiv.org/abs/2405.16812 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Enhanced Geological Prediction for Tunnel Excavation Using Full Waveform Inversion Integrating Sobolev Space Regularization with a Quadratic Penalty Method
In the process of tunnel excavation, advanced geological prediction technology has become indispensable for safe, economical, and efficient tunnel construction. Although traditional methods such as drilling and geological analysis are effective, they typically involve destructive processes, carry high risks, and incur significant costs. In contrast, non-destructive geophysical exploration offers a more convenient and economical alternative. However, the accuracy and precision of these non-destr…

This https://arxiv.org/abs/2401.10267 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing
Introducing HyperSense, our co-designed hardware and software system efficiently controls Analog-to-Digital Converter (ADC) modules' data generation rate based on object presence predictions in sensor data. Addressing challenges posed by escalating sensor quantities and data rates, HyperSense reduces redundant digital data using energy-efficient low-precision ADC, diminishing machine learning system costs. Leveraging neurally-inspired HyperDimensional Computing (HDC), HyperSense analyzes real-t…

This https://arxiv.org/abs/2312.07729 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

MedYOLO: A Medical Image Object Detection Framework
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical imaging is typically done using convolutional neural networks (CNNs) designed to make voxel-accurate segmentations of the region of interest. However, the labels required to train these CNNs are time-consuming to generate and require attention from subject matter experts to ensure quality. For tasks where voxel-level precision is not required, object detection models offer a viable alternative th…

This https://arxiv.org/abs/2312.00872 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Precise tests of the axion coupling to tops
We present an in-depth analysis of axions and axion-like particles in top-pair production at the LHC. Our main goal is to probe the axion coupling to top quarks at high energies. To this end, we calculate the top-antitop cross section and differential distributions including ALP effects up to one-loop level. By comparing these predictions with LHC precision measurements, we constrain the top coupling of axion-like particles with masses below the top-antitop threshold. Our results apply to all U…

This https://arxiv.org/abs/2403.02948 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Front-end electronics development of large-area SiPM arrays for high-precision single-photon time measurement
TRopIcal DEep-sea Neutrino Telescope (TRIDENT) plans to incorporate silicon photomultipliers (SiPMs) with superior time resolution in addition to photomultiplier tubes (PMTs) into its detection units, namely hybrid Digital Optical Modules (hDOMs), to improve its angular resolution. However, the time resolution significantly degrades for large-area SiPMs due to the large detector capacitance, posing significant challenges for the readout electronics of SiPMs in hDOM. We analyzed the influences o…

Preparation of high precision aspherical lenses based on micro stereolithography technology
Xiaoying Lu, Hua Liu
https://arxiv.org/abs/2406.04641 https://<…

Preparation of high precision aspherical lenses based on micro stereolithography technology
The 3D printing technology based on digital light processing (DLP) has highlighted its powerful manufacturing capabilities for optical components. However, the printing structure obtained by DLP based down projection printing is easily adhered to the printing window below, and the printed lens surface will have a step effect. This article uses DLP 3D printing technology to print non spherical lenses. During the printing process, a new type of inert liquid fluoride solution was used as the isola…

A general framework for floating point error analysis of simplex derivatives
Yiwen Chen, Warren Hare, Amy Wiebe
https://arxiv.org/abs/2406.04530 https://…

A general framework for floating point error analysis of simplex derivatives
Gradient approximations are a class of numerical approximation techniques that are of central importance in numerical optimization. In derivative-free optimization, most of the gradient approximations, including the simplex gradient, centred simplex gradient, and adapted centred simplex gradient, are in the form of simplex derivatives. Owing to machine precision, the approximation accuracy of any numerical approximation technique is subject to the influence of floating point errors. In this pap…

Rough Set improved Therapy-Based Metaverse Assisting System
Jin Cao (Janelle), Yanhui (Janelle), Jiang, Chang Yu, Feiwei Qin, Zekun Jiang
https://arxiv.org/abs/2406.04465

Rough Set improved Therapy-Based Metaverse Assisting System
Chronic neck and shoulder pain (CNSP) is a major global public health issue. Traditional treatments like physiotherapy and rehabilitation have drawbacks, including high costs, low precision, and user discomfort. This paper presents an interactive system based on Cognitive Therapy Theory (CBT) for CNSP treatment. The system includes a pain detection module using EMG and IMU to monitor pain and optimize data with Rough Set theory, and a cognitive therapy module that processes this data further fo…

This https://arxiv.org/abs/2312.00872 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Precise tests of the axion coupling to tops
We present an in-depth analysis of axions and axion-like particles in top-pair production at the LHC. Our main goal is to probe the axion coupling to top quarks at high energies. To this end, we calculate the top-antitop cross section and differential distributions including ALP effects up to one-loop level. By comparing these predictions with LHC precision measurements, we constrain the top coupling of axion-like particles with masses below the top-antitop threshold. Our results apply to all U…

This https://arxiv.org/abs/2406.01507 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
The unfolding of detector effects in experimental data is critical for enabling precision measurements in high-energy physics. However, traditional unfolding methods face challenges in scalability, flexibility, and dependence on simulations. We introduce a novel unfolding approach using conditional Denoising Diffusion Probabilistic Models (cDDPM). Our method utilizes the cDDPM for a non-iterative, flexible posterior sampling approach, which exhibits a strong inductive bias that allows it to gen…

Quantum hardware demonstrations of relativistic calculations of molecular electric dipole moments: from light to heavy systems using Variational Quantum Eigensolver
Palak Chawla, Shweta, K. R. Swain, Tushti Patel, Renu Bala, Disha Shetty, Kenji Sugisaki, Sudhindu Bikash Mandal, Jordi Riu, Jan Nogue, V. S. Prasannaa, B. P. Das
https://arxiv.org/abs/2406.04992 https://arxiv.org/pdf/2406.04992
arXiv:2406.04992v1 Announce Type: new
Abstract: The quantum-classical hybrid Variational Quantum Eigensolver (VQE) algorithm is recognized to be the method of choice to obtain ground state energies of quantum many-body systems in the noisy intermediate scale quantum (NISQ) era. This study not only extends the VQE algorithm to the relativistic regime, but also calculates a property other than energy, namely the molecular permanent electric dipole moment (PDM). We carry out 18-qubit quantum simulations to obtain ground state energies as well as PDMs of single-valence diatomic molecules, ranging from the light BeH to the heavy radioactive RaH molecule. We investigate the correlation trends in these systems as well as access the precision in our results. Furthermore, we measure the PDM of the moderately heavy SrH and SrF molecules on the optimized unitary coupled cluster state, using the state-of-the-art IonQ Aria-I quantum computer in an active space of 6 qubits. The associated quantum circuits for these computations were extensively optimized in view of limitations imposed by NISQ hardware. To that end, we employ an array of techniques, including the use of point group symmetries, integrating ZX-Calculus into our pipeline-based circuit optimization, and energy sort VQE procedure. Through these methods, we compress our 6-qubit quantum circuit from 280 two-qubit gates to 37 two-qubit gates (with a marginal trade-off of 0.33 and 0.31 percent in the PDM for SrH and SrF in their respective 6-spin orbital active spaces). We anticipate that our proof-of-concept demonstration lays the groundwork for future quantum hardware calculations involving heavy atoms and molecules.

Timing-based mass measurement of exotic long-lived particles at the FCC-ee
Roy Aleksan, Emmanuel Perez, Giacomo Polesello, Nicol\`o Valle
https://arxiv.org/abs/2406.05102

Timing-based mass measurement of exotic long-lived particles at the FCC-ee
The very high luminosity run foreseen at the $Z$-pole for the FCC-ee will allow the detection in $Z$ decays of new particles with very low couplings to the Standard Model. These particles will have measurable flight paths before they decay. If the timing and the position of the decay vertex can be measured with high precision, the mass of such particles can be measured by exploiting the constrained kinematics of an $e^+e^-$ collider. The mass resolution achievable with this technique is studied…

Timing-based mass measurement of exotic long-lived particles at the FCC-ee
Roy Aleksan, Emmanuel Perez, Giacomo Polesello, Nicol\`o Valle
https://arxiv.org/abs/2406.05102

Timing-based mass measurement of exotic long-lived particles at the FCC-ee
The very high luminosity run foreseen at the $Z$-pole for the FCC-ee will allow the detection in $Z$ decays of new particles with very low couplings to the Standard Model. These particles will have measurable flight paths before they decay. If the timing and the position of the decay vertex can be measured with high precision, the mass of such particles can be measured by exploiting the constrained kinematics of an $e^+e^-$ collider. The mass resolution achievable with this technique is studied…

Ukrainian Air Force uses 227 kg precision-guided bombs on Russian-held factory in Vovchansk: https://benborges.xyz/2024/06/16/ukrainian-air-force.html

Ukrainian Air Force uses 227 kg precision-guided bombs on Russian-held factory in Vovchansk: https://benborges.xyz/2024/06/16/ukrainian-air-force.html

Precision measurement for open systems by non-hermitian linear response
Peng Xu, Gang Chen
https://arxiv.org/abs/2406.11287 https://a…

Precision measurement for open systems by non-hermitian linear response
The lower bound of estimated accuracy for a parameter unitarily encoded in closed systems has been obtained, and both optimal initial states and detection operators can be designed guided by the lower bound. In this letter, we demonstrate that the lower bound of estimated accuracy for a dissipative parameter non-unitarily encoded in open systems based on the non-hermitian linear response theory. This lower bound is related to the correlation of the encoding dissipative operator for open systems…

https://fedi.lynnesbian.space/@lynnesbian/101418079532140692 - I’ve womansplained him to death.

High-precision surgical navigation using speckle structured light-based thoracoabdominal puncture robot
Zezhao Guo, Yanzhong Guo, Zhanfang Zhao
https://arxiv.org/abs/2406.06478

High-precision surgical navigation using speckle structured light-based thoracoabdominal puncture robot
Abstract Background During percutaneous puncture robotic surgical navigation, the needle insertion point is positioned on the patient's chest and abdomen body surface. By locating any point on the soft skin tissue, it is difficult to apply the traditional reflective ball tracking method. The patient's chest and abdomen body surface has fluctuations in breathing and appears irregular. The chest and abdomen are regular and smooth, lacking obvious features, and it is challenging to locate the ne…

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun
https://arxiv.org/abs/2406.08903

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
Fine-tuning is a crucial process for adapting large language models (LLMs) to diverse applications. In certain scenarios, such as multi-tenant serving, deploying multiple LLMs becomes necessary to meet complex demands. Recent studies suggest decomposing a fine-tuned LLM into a base model and corresponding delta weights, which are then compressed using low-rank or low-bit approaches to reduce costs. In this work, we observe that existing low-rank and low-bit compression methods can significantly…

This https://arxiv.org/abs/2305.15392 has been replaced.
initial toot: https://mastoxiv.page/@…

Thermodynamic cost for precision of general counting observables
We analytically derive universal bounds that describe the trade-off between thermodynamic cost and precision in a sequence of events related to some internal changes of an otherwise hidden physical system. The precision is quantified by the fluctuations in either the number of events counted over time or the times between successive events. Our results are valid for the same broad class of nonequilibrium driven systems considered by the thermodynamic uncertainty relation, but they extend to bot…

This https://arxiv.org/abs/2406.07023 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
With the rapid proliferation of autonomous driving, there has been a heightened focus on the research of lidar-based 3D semantic segmentation and object detection methodologies, aiming to ensure the safety of traffic participants. In recent decades, learning-based approaches have emerged, demonstrating remarkable performance gains in comparison to conventional algorithms. However, the segmentation and detection tasks have traditionally been examined in isolation to achieve the best precision. T…

Energy efficiency: a Lattice Boltzmann study
Matteo Turisini, Giorgio Amati, Andrea Acquaviva
https://arxiv.org/abs/2406.11498 https://

Energy efficiency: a Lattice Boltzmann study
The energy consumption and the compute performance of a fluid dynamic code have been investigated varying parallelization approach, arithmetic precision and clock speed. The code is based on a Lattice Boltzmann approximation, is written in Fortran and was executed on high-end GPUs of Leonardo Booster supercomputer. Tests were conducted on single server nodes (up to 4 GPUs in parallel). Performance metrics like the number of operations per second and energy consumption are reported, to quantify …

This https://arxiv.org/abs/2406.02369 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Identifying Sample Size and Accuracy and Precision of the Estimators in Case-Crossover Analysis with Distributed Lags of Heteroskedastic Time-Varying Continuous Exposures Measured with Simple or Complex Error
Power analyses help investigators design robust and reproducible research. Understanding of determinants of statistical power is helpful in interpreting results in publications and in analysis for causal inference. Case-crossover analysis, a matched case-control analysis, is widely used to estimate health effects of short-term exposures. Despite its widespread use, understanding of sample size, statistical power, and the accuracy and precision of the estimator in real-world data settings is ver…

This https://arxiv.org/abs/2403.19894 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Handling correlated systematic uncertainties on the CKM angle gamma
The current precision on the CKM angle $γ$ is driven by averages of measurements from multiple final states and multiple experiments. As the next generation of experiments targets a total experimental precision on $γ$ less than one degree, systematic uncertainties must be well-controlled and correlated uncertainties between different final states and across experiments must be fully understood. These proceedings examine the systematic uncertainties that arise in direct measurements of $γ$ an…

This https://arxiv.org/abs/2406.06810 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Experimental benchmarking of quantum state overlap estimation strategies with photonic systems
Accurately estimating the overlap between quantum states is a fundamental task in quantum information processing. While various strategies using distinct quantum measurements have been proposed for overlap estimation, the lack of experimental benchmarks on estimation precision limits strategy selection in different situations. Here we compare the performance of four practical strategies for overlap estimation, including tomography-tomography, tomography-projection, Schur collective measurement …

This https://arxiv.org/abs/2311.15944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Relativistic periastron advance beyond Einstein theory: analytical solution with applications
We find a new solution to calculate the orbital periastron advance of a test body subject to a central gravitational force field, for relativistic theories and models beyond Einstein. This analitycal formula has general validity that includes all the post-Newtonian (PN) contributions to the dynamics and is useful for high-precision gravitational tests. The solution is directly applicable to corrective potentials of various forms, without the need for numerical integration. Later, we apply it to…

This https://arxiv.org/abs/2406.08304 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

NIRPS first light and early science: breaking the 1 m/s RV precision barrier at infrared wavelengths
The Near-InfraRed Planet Searcher or NIRPS is a precision radial velocity spectrograph developed through collaborative efforts among laboratories in Switzerland, Canada, Brazil, France, Portugal and Spain. NIRPS extends to the 0.98-1.8 $μ$m domain of the pioneering HARPS instrument at the La Silla 3.6-m telescope in Chile and it has achieved unparalleled precision, measuring stellar radial velocities in the infrared with accuracy better than 1 m/s. NIRPS can be used either stand-alone or simul…

On Bourgain's approach to stochastic homogenization
Mitia Duerinckx, Marius Lemm, Fran\c{c}ois Pagano
https://arxiv.org/abs/2406.09909 https://<…

On Bourgain's approach to stochastic homogenization
In 2018, Bourgain pioneered a novel perturbative harmonic-analytic approach to the stochastic homogenization theory of discrete elliptic equations with weakly random i.i.d. coefficients. The approach was subsequently refined to show that homogenized approximations of ensemble averages can be derived to a precision four times better than almost sure homogenized approximations, which was unexpected by the state-of-the-art homogenization theory. In this paper, we grow this budding theory in variou…

Lightning-Fast Thunderstorm Warnings: Predicting Severe Convective Environments with Global Neural Weather Models
Monika Feldmann, Tom Beucler, Milton Gomez, Olivia Martius
https://arxiv.org/abs/2406.09474

Lightning-Fast Thunderstorm Warnings: Predicting Severe Convective Environments with Global Neural Weather Models
The recently released suite of AI weather models can produce multi-day, medium-range forecasts within seconds, with a skill on par with state-of-the-art operational forecasts. Traditional AI model evaluation predominantly targets global scores on single levels. Specific prediction tasks, such as severe convective environments, require much more precision on a local scale and with the correct vertical gradients between levels. With a focus on the convective season of global hotspots in 2020, we …

Optical Variability Properties of Southern TESS Blazars
Ryne Dingler, Krista Lynne Smith
https://arxiv.org/abs/2406.10346 https://arx…

Optical Variability Properties of Southern TESS Blazars
We present a study of high-cadence, high-precision, optical light curves from the TESS satellite of 67 blazars in the southern sky. We provide descriptive flux statistics, power spectral density model parameters, and characteristic variability timescales. We find that only 15 BL Lacertae objects (BLLs) and 18 Flat Spectrum Radio Quasars (FSRQs) from the initial 26 and 41, respectively exhibit statistically-significant variability. We employ an adapted Power Spectral Response method to test the …

High-Precision Surrogate Modeling for Uncertainty Quantification in Complex Slurry Flows
Marwane Elkarii, Radouan Boukharfane, Nabil El Mo\c{c}ayd
https://arxiv.org/abs/2406.07758

High-Precision Surrogate Modeling for Uncertainty Quantification in Complex Slurry Flows
Slurry transportation via pipelines is essential for global industries, offering efficiency and environmental benefits. Specifically, the precise calibration of physical parameters for transporting raw phosphate material to fertilizer plants is crucial to minimize energy losses and ensure secure operations. Computational fluid dynamics (CFD) is commonly employed to understand solid concentration, velocity distributions, and flow pressure along the pipeline. However, numerical solutions for slur…

This https://arxiv.org/abs/2403.09295 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score
In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH Open Citation Collection, we compare the performance of the three citation-based approaches direct citation, co-citation, and bibliographic coupling with respect to recall and precision measures. In addition, we include the PubMed Related Article score as well as combined approaches in the comparison. We also provide …

This https://arxiv.org/abs/2401.07976 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

High-precision mass measurements of neutron deficient silver isotopes probe the robustness of the $N$ = 50 shell closure
High-precision mass measurements of exotic $^{95-97}$Ag isotopes close to the $N = Z$ line have been conducted with the JYFLTRAP double Penning trap mass spectrometer, with the silver ions produced using the recently commissioned inductively-heated hot cavity catcher laser ion source at the Ion Guide Isotope Separator On-Line facility. The atomic mass of $^{95}$Ag was directly determined for the first time. In addition, the atomic masses of $β$-decaying 2$^+$ and 8$^+$ states in $^{96}$Ag have…

The largest metallicity difference in twin systems: high-precision abundance analysis of the benchmark pair Krios & Kronos
P. Miquelarena, C. Saffe, M. Flores, R. Petrucci, J. Yana Galarza, J. Alacoria, M. Jaque Arancibia, E. Jofr\'e, K. Montenegro Armijo, F. Gunella
https://arxiv.org/abs/2406.06705

The largest metallicity difference in twin systems: high-precision abundance analysis of the benchmark pair Krios & Kronos
Aims.We conduct a high-precision differential abundance analysis of the remarkable binary system HD 240429/30 (Krios and Kronos, respectively), whose difference in metallicity is one of the highest detected in systems with similar components to date (approximately 0.20 dex). A condensation temperature TC trend study was performed to search for possible chemical signatures of planet formation. In addition, other potential scenarios have been proposed to explain this disparity. Methods. Fundament…

ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity
Mohammad-Amin Charusaie, Stefano Rini, Arash Amini
https://arxiv.org/abs/2406.06349

ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity
Rényi Information Dimension (RID) plays a central role in quantifying the compressibility of random variables with singularities in their distribution, encompassing and extending beyond the class of sparse sources. The RID, from a high perspective, presents the average number of bits that is needed for coding the i.i.d. samples of a random variable with high precision. There are two main extensions of the RID for stochastic processes: information dimension rate (IDR) and block information dime…

This https://arxiv.org/abs/2405.01539 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Confronting sparse Gaia DR3 photometry with TESS for a sample of around 60,000 OBAF-type pulsators
The Gaia mission has delivered hundreds of thousands of variable star light curves in multiple wavelengths. Recent work demonstrates that these light curves can be used to identify (non-)radial pulsations in the OBAF-type stars, despite the irregular cadence and low light curve precision of order a few mmag. With the considerably more precise TESS photometry, we revisit these candidate pulsators to conclusively ascertain the nature of their variability. We seek to re-classify the Gaia light cur…

One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model
Zhaoqing Li, Haoning Xu, Tianzi Wang, Shoukang Hu, Zengrui Jin, Shujie Hu, Jiajun Deng, Mingyu Cui, Mengzhe Geng, Xunying Liu
https://arxiv.org/abs/2406.10160

One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model
We propose a novel one-pass multiple ASR systems joint compression and quantization approach using an all-in-one neural model. A single compression cycle allows multiple nested systems with varying Encoder depths, widths, and quantization precision settings to be simultaneously constructed without the need to train and store individual target systems separately. Experiments consistently demonstrate the multiple ASR systems compressed in a single all-in-one model produced a word error rate (WER)…

This https://arxiv.org/abs/2402.04012 has been replaced.
link: https://scholar.google.com/scholar?q=a

Quantized Approximately Orthogonal Recurrent Neural Networks
In recent years, Orthogonal Recurrent Neural Networks (ORNNs) have gained popularity due to their ability to manage tasks involving long-term dependencies, such as the copy-task, and their linear complexity. However, existing ORNNs utilize full precision weights and activations, which prevents their deployment on compact devices.In this paper, we explore the quantization of the weight matrices in ORNNs, leading to Quantized approximately Orthogonal RNNs (QORNNs). The construction of such networ…

TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs
Girma M. Yilma, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
https://arxiv.org/abs/2406.07053

TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs
Large Language Models (LLMs) have immense potential to transform the telecommunications industry. They could help professionals understand complex standards, generate code, and accelerate development. However, traditional LLMs struggle with the precision and source verification essential for telecom work. To address this, specialized LLM-based solutions tailored to telecommunication standards are needed. Retrieval-augmented generation (RAG) offers a way to create precise, fact-based answers. Th…

This https://arxiv.org/abs/2403.14597 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for customization. Human-robot collaboration attempts to tackle these challenges by combining the strength and precision of machines with human ingenuity and perceptual understanding. In this paper, we conceptualize and propose an implementation framework for an autonomous, m…

A Symbolic Computing Perspective on Software Systems
Arthur C. Norman, Stephen M. Watt
https://arxiv.org/abs/2406.09085 https://arxiv…

A Symbolic Computing Perspective on Software Systems
Symbolic mathematical computing systems have served as a canary in the coal mine of software systems for more than sixty years. They have introduced or have been early adopters of programming language ideas such ideas as dynamic memory management, arbitrary precision arithmetic and dependent types. These systems have the feature of being highly complex while at the same time operating in a domain where results are well-defined and clearly verifiable. These software systems span multiple layers …

Dissipation bounds precision of current response to kinetic perturbations
Krzysztof Ptaszynski, Timur Aslyamov, Massimiliano Esposito
https://arxiv.org/abs/2406.08361

Dissipation bounds precision of current response to kinetic perturbations
The precision of currents in Markov networks is bounded by dissipation via the so-called thermodynamic uncertainty relation (TUR). In our work, we demonstrate a similar inequality that bounds the precision of the static current response to perturbations of kinetic barriers. Perturbations of such type, which affect only the system kinetics but not the thermodynamic forces, are highly important in biochemistry and nanoelectronics. We prove that our inequality cannot be derived from the standard T…

Randomization Inference: Theory and Applications
David M. Ritzwoller, Joseph P. Romano, Azeem M. Shaikh
https://arxiv.org/abs/2406.09521 https://

Randomization Inference: Theory and Applications
We review approaches to statistical inference based on randomization. Permutation tests are treated as an important special case. Under a certain group invariance property, referred to as the ``randomization hypothesis,'' randomization tests achieve exact control of the Type I error rate in finite samples. Although this unequivocal precision is very appealing, the range of problems that satisfy the randomization hypothesis is somewhat limited. We show that randomization tests are often asymptot…

This https://arxiv.org/abs/2106.06451 has been replaced.
link: https://scholar.google.com/scholar?q=a

Angle-resolved optically detected magnetic resonance as a tool for strain determination in nanostructures
In this paper, we apply the angle-resolved Optically Detected Magnetic Resonance (ODMR) technique to study series of strained (Cd, Mn)Te/(Cd, Mg)Te quantum wells (QWs) produced by molecular beam epitaxy. By analyzing characteristic features of ODMR angular scans, we determine strain-induced axial-symmetry spin Hamiltonian parameter D with neV precision. Furthermore, we use low-temperature optical reflectivity measurements and X-ray diffraction scans to evaluate the local strain present in QW ma…

This https://arxiv.org/abs/2406.02369 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Identifying Sample Size and Accuracy and Precision of the Estimators in Case-Crossover Analysis with Distributed Lags of Heteroskedastic Time-Varying Continuous Exposures Measured with Simple or Complex Error
Power analyses help investigators design robust and reproducible research. Understanding of determinants of statistical power is helpful in interpreting results in publications and in analysis for causal inference. Case-crossover analysis, a matched case-control analysis, is widely used to estimate health effects of short-term exposures. Despite its widespread use, understanding of sample size, statistical power, and the accuracy and precision of the estimator in real-world data settings is ver…

A precision benchmark suite for nuclear reactor point kinetics equations via converged accelerated Taylor series (cats)
Barry Ganapol
https://arxiv.org/abs/2406.11822

A precision benchmark suite for nuclear reactor point kinetics equations via converged accelerated Taylor series (cats)
Extreme benchmarks of ten or more places for the point kinetics equations for time dependent nuclear reactor power transients are rare. Therefore, to establish an extreme benchmark, we will employ a Taylor series with continuous analytical continuation (CAC) to solve the ordinary differential equations of point kinetics including feedback. Non-linear Wynn-epsilon convergence acceleration confirms the highly precise solutions for neutron and precursor densities. Through adaptive partitioning of …

From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics
Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
https://arxiv.org/abs/2406.08980

From Theory to Therapy: Reframing SBDD Model Evaluation via Practical Metrics
Recent advancements in structure-based drug design (SBDD) have significantly enhanced the efficiency and precision of drug discovery by generating molecules tailored to bind specific protein pockets. Despite these technological strides, their practical application in real-world drug development remains challenging due to the complexities of synthesizing and testing these molecules. The reliability of the Vina docking score, the current standard for assessing binding abilities, is increasingly q…

A New Model-Independent Precision Test of General Relativity using LISA Bright Standard Sirens
Samsuzzaman Afroz, Suvodip Mukherjee
https://arxiv.org/abs/2406.08791

A New Model-Independent Precision Test of General Relativity using LISA Bright Standard Sirens
The upcoming Laser Interferometer Space Antenna (LISA), set for launch in the mid-2030s, will enhance our capability to probe the universe through gravitational waves (GWs) emitted from binary black holes (BBHs) across a broad range of cosmological distances. LISA is projected to observe three classes of BBHs: massive BBHs (MBBHs), extreme mass-ratio inspirals (EMRIs), and stellar mass BBHs. This study focuses on MBBHs, which are anticipated to occur in gas-rich environments conducive to produc…

Bound-state relativistic quantum electrodynamics: a perspective for precision physics with atoms and molecules
\'Ad\'am Nonn, \'Ad\'am Marg\'ocsy, Edit M\'atyus
https://arxiv.org/abs/2406.05228

Bound-state relativistic quantum electrodynamics: a perspective for precision physics with atoms and molecules
Precision physics aims to use atoms and molecules to test and develop the fundamental theory of matter, possibly beyond the Standard Model. Most of the atomic and molecular phenomena are described by the QED (quantum electrodynamics) sector of the Standard Model. Do we have the computational tools, algorithms, and practical equations for the most possible complete computation of atoms and molecules within the QED sector? What is the fundamental equation to start with? Is it still Schrödinger's…

On Bourgain's approach to stochastic homogenization
Mitia Duerinckx, Marius Lemm, Fran\c{c}ois Pagano
https://arxiv.org/abs/2406.09909 https://<…

On Bourgain's approach to stochastic homogenization
In 2018, Bourgain pioneered a novel perturbative harmonic-analytic approach to the stochastic homogenization theory of discrete elliptic equations with weakly random i.i.d. coefficients. The approach was subsequently refined to show that homogenized approximations of ensemble averages can be derived to a precision four times better than almost sure homogenized approximations, which was unexpected by the state-of-the-art homogenization theory. In this paper, we grow this budding theory in variou…

Lightning-Fast Thunderstorm Warnings: Predicting Severe Convective Environments with Global Neural Weather Models
Monika Feldmann, Tom Beucler, Milton Gomez, Olivia Martius
https://arxiv.org/abs/2406.09474

Lightning-Fast Thunderstorm Warnings: Predicting Severe Convective Environments with Global Neural Weather Models
The recently released suite of AI weather models can produce multi-day, medium-range forecasts within seconds, with a skill on par with state-of-the-art operational forecasts. Traditional AI model evaluation predominantly targets global scores on single levels. Specific prediction tasks, such as severe convective environments, require much more precision on a local scale and with the correct vertical gradients between levels. With a focus on the convective season of global hotspots in 2020, we …

This https://arxiv.org/abs/2307.06798 has been replaced.
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Current status and desired accuracy of the isotopic production cross-sections relevant to astrophysics of cosmic rays II. Fluorine to Silicon (and updated LiBeB)
High-precision cosmic-ray data from ongoing and recent past experiments (Voyager, ACE-CRIS, PAMELA, ATIC, CREAM, NUCLEON, AMS-02, CALET, DAMPE) are being released in the tens of MeV/n to multi-TeV/n energy range. Astrophysical and dark matter interpretations of these data are limited by the precision of nuclear production cross-sections. In Paper I, PRC 98, 034611 (2018), we set up a procedure to rank nuclear reactions whose desired measurements will enable us to fully exploit currently availab…

This https://arxiv.org/abs/2402.02100 has been replaced.
link: https://scholar.google.com/scholar?q=a

Weak-measurement-based pseudospin pointer: A cost-effective scheme for precision measurement
As an essential component of state-of-the-art quantum technologies, fast and efficient quantum measurements are in persistent demand over time. We present a proof-of-principle experiment on a new dimensionless pseudo-spin pointer based on weak measurement. In the context of optical parameter estimation, we demonstrate that the parametric distribution's moment is obtained experimentally by employing the dimensionless pointer without measuring the distribution literally. In addition to the sheer …

This https://arxiv.org/abs/2311.15295 has been replaced.
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Gravitational wave fluxes on generic orbits in near-extreme Kerr spacetime: higher spin and large eccentricity
To obtain the waveform template of gravitational waves (GWs), substantial computational resources and exceedingly high precision are often required. In the previous study [JCAP 11 (2023) 070], we efficiently and accurately calculate GW fluxes of a particle in circular orbits around a Schwarzschild black hole using the confluent Heun function. We extend the previous method to calculate the asymptotic GW fluxes from a particle in generic orbits around a near-extreme Kerr black hole. Especially wh…

High precision measurements of alpha_s at the future EIC
T. Kutz, J. R. Pybus, D. W. Upton, C. Cotton, A. Deshpande, A. Deur, W. B. Li, D. Nguyen, M. Nycz, X. Zhen
https://arxiv.org/abs/2406.05591

High precision measurements of alpha_s at the future EIC
We present a projection study for the first moments of the inclusive spin structure function for the proton and neutron from simulated doubly-polarized e+p and e+3He collision data expected from the Electron-Ion collider. For detection and extraction of the neutron spin asymmetries from e+3He collisions, we used the double-tagging method which significantly reduces the uncertainty over the traditional inclusive method. Using the Bjorken sum rule, the projected results allow us to determine that…

ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity
Mohammad-Amin Charusaie, Stefano Rini, Arash Amini
https://arxiv.org/abs/2406.06349

ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity
Rényi Information Dimension (RID) plays a central role in quantifying the compressibility of random variables with singularities in their distribution, encompassing and extending beyond the class of sparse sources. The RID, from a high perspective, presents the average number of bits that is needed for coding the i.i.d. samples of a random variable with high precision. There are two main extensions of the RID for stochastic processes: information dimension rate (IDR) and block information dime…

This https://arxiv.org/abs/2404.00977 has been replaced.
link: https://scholar.google.com/scholar?q=a

Nonlinear dynamical social and political prediction algorithm for city planning and public participation using the Impulse Pattern Formulation
A nonlinear-dynamical algorithm for city planning is proposed as an Impulse Pattern Formulation (IPF) for predicting relevant parameters like health, artistic freedom, or financial developments of different social or political stakeholders over the cause of a planning process. The IPF has already shown high predictive precision at low computational cost in musical instrument simulations, brain dynamics, and human-human interactions. The social and political IPF consists of three basic equations…

This https://arxiv.org/abs/2306.13408 has been replaced.
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Constraints on the dark sector from electroweak precision observables
We revisit the Standard Model fit to electroweak precision observables using the latest data and the Particle Data Group value of the mass of the W boson. This analysis is repeated for the value reported by CDF. The constraints on the parameter space for dark photons arising from these electroweak precision observables are then evaluated for both values of the W boson mass. We also extend previous work by placing the first electroweak precision observable constraints on the coupling of dark pho…

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
https://arxiv.org/abs/2406.06649

2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
Low-bit quantization has become widespread for compressing image super-resolution (SR) models for edge deployment, which allows advanced SR models to enjoy compact low-bit parameters and efficient integer/bitwise constructions for storage compression and inference acceleration, respectively. However, it is notorious that low-bit quantization degrades the accuracy of SR models compared to their full-precision (FP) counterparts. Despite several efforts to alleviate the degradation, the transforme…

Guiding Catalogue Enrichment with User Queries
Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan
https://arxiv.org/abs/2406.07098 https://

Guiding Catalogue Enrichment with User Queries
Techniques for knowledge graph (KGs) enrichment have been increasingly crucial for commercial applications that rely on evolving product catalogues. However, because of the huge search space of potential enrichment, predictions from KG completion (KGC) methods suffer from low precision, making them unreliable for real-world catalogues. Moreover, candidate facts for enrichment have varied relevance to users. While making correct predictions for incomplete triplets in KGs has been the main focus …

This https://arxiv.org/abs/2404.02025 has been replaced.
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High-precision measurement of the atomic mass of $^{84}$Sr and implications to isotope shift studies
The absolute mass of $^{84}$Sr was determined using the phase-imaging ion-cyclotron-resonance technique with the JYFLTRAP double Penning trap mass spectrometer. A more precise value for the mass of $^{84}$Sr is essential for providing potential indications of physics beyond the Standard Model through high-precision isotope shift measurements of Sr atomic transition frequencies. The mass excess of $^{84}$Sr was refined to be -80649.229(37) keV/c$^2$ from high-precision cyclotron-frequency-ratio …

This https://arxiv.org/abs/2406.08361 has been replaced.
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Dissipation bounds precision of current response to kinetic perturbations
The precision of currents in Markov networks is bounded by dissipation via the so-called thermodynamic uncertainty relation (TUR). In our work, we demonstrate a similar inequality that bounds the precision of the static current response to perturbations of kinetic barriers. Perturbations of such type, which affect only the system kinetics but not the thermodynamic forces, are highly important in biochemistry and nanoelectronics. We prove that our inequality cannot be derived from the standard T…

This https://arxiv.org/abs/2402.04012 has been replaced.
link: https://scholar.google.com/scholar?q=a

Quantized Approximately Orthogonal Recurrent Neural Networks
In recent years, Orthogonal Recurrent Neural Networks (ORNNs) have gained popularity due to their ability to manage tasks involving long-term dependencies, such as the copy-task, and their linear complexity. However, existing ORNNs utilize full precision weights and activations, which prevents their deployment on compact devices.In this paper, we explore the quantization of the weight matrices in ORNNs, leading to Quantized approximately Orthogonal RNNs (QORNNs). The construction of such networ…

Research on High-precision Detection Technology for Un-derground Space Information Data
Zuo Yanhong, Zhou Chao, Xia Shilong, Yang kun
https://arxiv.org/abs/2406.07045

Research on High-precision Detection Technology for Un-derground Space Information Data
The quality of underground space information data has become a major problem endangering the safety of underground space. After research and analysis, we found that the current high accuracy information data remote detection methods are limited to the detection of overground spaces objects, and are not applicable to the detection of various information data in underground space. In this paper, we analyze the spectral properties of the fractional-order differential (FDO) operator, and establish …

A New Model-Independent Precision Test of General Relativity using LISA Bright Standard Sirens
Samsuzzaman Afroz, Suvodip Mukherjee
https://arxiv.org/abs/2406.08791

A New Model-Independent Precision Test of General Relativity using LISA Bright Standard Sirens
The upcoming Laser Interferometer Space Antenna (LISA), set for launch in the mid-2030s, will enhance our capability to probe the universe through gravitational waves (GWs) emitted from binary black holes (BBHs) across a broad range of cosmological distances. LISA is projected to observe three classes of BBHs: massive BBHs (MBBHs), extreme mass-ratio inspirals (EMRIs), and stellar mass BBHs. This study focuses on MBBHs, which are anticipated to occur in gas-rich environments conducive to produc…

This https://arxiv.org/abs/2402.09871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
The rapidly evolving multimodal Large Language Models (LLMs) urgently require new benchmarks to uniformly evaluate their performance on understanding and textually describing music. However, due to semantic gaps between Music Information Retrieval (MIR) algorithms and human understanding, discrepancies between professionals and the public, and low precision of annotations, existing music description datasets cannot serve as benchmarks. To this end, we present MuChin, the first open-source music…

This https://arxiv.org/abs/2406.05331 has been replaced.
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Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these challenges, the current generation of assembly systems is built with a lot of system integration effort to provide the structure and precision necessary for assembly. These systems are mostly responsible for part singulation, part kitting, and part detection, whic…

This https://arxiv.org/abs/2307.04898 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Slitless spectrophotometry with forward modelling: principles and application to atmospheric transmission measurement
In the next decade, many optical surveys will aim to tackle the question of dark energy nature, measuring its equation of state parameter at the permil level. This requires trusting the photometric calibration of the survey with a precision never reached so far, controlling many sources of systematic uncertainties. The measurement of the on-site atmospheric transmission for each exposure, or on average for each season or for the full survey, can help reach the permil precision for magnitudes. T…

This https://arxiv.org/abs/2403.13955 has been replaced.
initial toot: https://mastoxiv.page/@a…

Flexures for Kibble balances: Minimizing the effects of anelastic relaxation
We studied the anelastic aftereffect of a flexure being used in a Kibble balance, where the flexure is subjected to a large excursion in velocity mode after which a high-precision force comparison is performed. We investigated the effect of a constant and a sinusoidal excursion on the force comparison. We explored theoretically and experimentally a simple erasing procedure, i.e., bending the flexure in the opposite direction for a given amplitude and time. We found that the erasing procedure re…

GASTLI: An open-source coupled interior-atmosphere model to unveil gas giant composition
Lorena Acu\~na, Laura Kreidberg, Meng Zhai, Paul Molli\`ere
https://arxiv.org/abs/2406.10032

GASTLI: An open-source coupled interior-atmosphere model to unveil gas giant composition
The metal mass fractions of gas giants are a powerful tool to constrain their formation mechanisms and evolution. The metal content is inferred by comparing mass and radius measurements with interior structure and evolution models. In the midst of the JWST, CHEOPS, TESS, and the forthcoming PLATO era, we are at the brink of obtaining unprecedented precision in radius, age and atmospheric metallicity measurements. To prepare for this wealth of data, we present the GAS gianT modeL for Interiors (…

This https://arxiv.org/abs/2406.04465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Rough Set improved Therapy-Based Metaverse Assisting System
Chronic neck and shoulder pain (CNSP) is a major global public health issue. Traditional treatments like physiotherapy and rehabilitation have drawbacks, including high costs, low precision, and user discomfort. This paper presents an interactive system based on Cognitive Therapy Theory (CBT) for CNSP treatment. The system includes a pain detection module using EMG and IMU to monitor pain and optimize data with Rough Set theory, and a cognitive therapy module that processes this data further fo…

Decay energy spectrometry for improved nuclear material analysis at the iaea nml
G. B. Kim, A. R. L. Kavner, T. Parsons-Davis, S. Friedrich, O. B. Drury, D. Lee, X. Zhang, N. Hines, S. T. P. Boyd, S. Weidenbenner, K. Schreiber, S. Martinson, C. Smith, D. McNeel, S. Salazar, K. Koehler, M. Carpenter, M. Croce, D. Schmidt, J. Ullom
https://

Decay energy spectrometry for improved nuclear material analysis at the iaea nml
Decay energy spectrometry (DES) is a novel radiometric technique for high-precision analysis of nuclear materials. DES employs the unique thermal detection physics of cryogenic microcalorimeters with ultra-high energy resolution and 100$\%$ detection efficiency to accomplish high precision decay energy measurements. Low-activity nuclear samples of 1 Bq or less, and without chemical separation, are used to provide elemental and isotopic compositions in a single measurement. Isotopic ratio precis…

This https://arxiv.org/abs/2306.13609 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Ultraviolet astronomical spectrograph calibration with laser frequency combs from nanophotonic lithium niobate waveguides
Astronomical precision spectroscopy underpins searches for life beyond Earth, direct observation of the expanding Universe and constraining the potential variability of physical constants across cosmological scales. Laser frequency combs can provide the critically required accurate and precise calibration to the astronomical spectrographs. For cosmological studies, extending the calibration with such astrocombs to the ultraviolet spectral range is highly desirable, however, strong material disp…

Probing the Heights and Depths of Y Dwarf Atmospheres: A Retrieval Analysis of the JWST Spectral Energy Distribution of WISE J035934.06$-$540154.6
Harshil Kothari, Michael C. Cushing, Ben Burningham, Samuel A. Beiler, J. Davy Kirkpatrick, Adam C. Schneider, Sagnick Mukherjee, Mark S. Marley
https://arxiv.org/abs/2406.06493

Probing the Heights and Depths of Y Dwarf Atmospheres: A Retrieval Analysis of the JWST Spectral Energy Distribution of WISE J035934.06$-$540154.6
We present an atmospheric retrieval analysis of the Y0 brown dwarf WISE J035934.06$-$540154.6 using the low-resolution 0.96--12 $μ$m JWST spectrum presented in \citet{Beiler_2023}. We obtain volume number mixing ratios of the major gas-phase absorbers (H$_2$O, CH$_4$, CO, CO$_2$, PH$_3$, and H$_2$S) that are 3--5$\times$ more precise than previous work that used HST spectra. We also find an order-of-magnitude improvement in the precision of the retrieved thermal profile, a direct result of the…

Wearable Device-Based Physiological Signal Monitoring: An Assessment Study of Cognitive Load Across Tasks
Ling He, Yanxin Chen, Wenqi Wang, Shuting He, Xiaoqiang Hu
https://arxiv.org/abs/2406.07147

Wearable Device-Based Physiological Signal Monitoring: An Assessment Study of Cognitive Load Across Tasks
This study employs cutting-edge wearable monitoring technology to conduct high-precision, high-temporal-resolution cognitive load assessment on EEG data from the FP1 channel and heart rate variability (HRV) data of secondary vocational students(SVS). By jointly analyzing these two critical physiological indicators, the research delves into their application value in assessing cognitive load among SVS students and their utility across various tasks. The study designed two experiments to validate…

Improving the Accuracy of Halo Mass Based Statistics For Fast Approximate N-body Simulations
Yiheng Wu, Hong Guo, Volker Springel
https://arxiv.org/abs/2406.10466

Improving the Accuracy of Halo Mass Based Statistics For Fast Approximate N-body Simulations
Approximate N-body methods, such as FastPM and COLA, have been successful in modelling halo and galaxy clustering statistics, but their low resolution on small scales is a limitation for applications that require high precision. Full N-body simulations can provide better accuracy but are too computationally expensive for a quick exploration of cosmological parameters. This paper presents a method for correcting distinct haloes identified in fast N-body simulations, so that various halo statisti…

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
https://arxiv.org/abs/2406.11740

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
Humans can imagine goal states during planning and perform actions to match those goals. In this work, we propose Imagination Policy, a novel multi-task key-frame policy network for solving high-precision pick and place tasks. Instead of learning actions directly, Imagination Policy generates point clouds to imagine desired states which are then translated to actions using rigid action estimation. This transforms action inference into a local generative task. We leverage pick and place symmetri…

Josephson Parametric Amplifier based Quantum Noise Limited Amplifier Development for Axion Search Experiments in CAPP
Sergey V. Uchaikin, Jinmyeong Kim, Caglar Kutlu, Boris I. Ivanov, Jinsu Kim, Arjan F. van Loo, Yasunobu Nakamura, Saebyeok Ahn, Seonjeong Oh, Minsu Ko, Yannis K. Semertzidis
https://arxiv.org/abs/2406.07899

Josephson Parametric Amplifier based Quantum Noise Limited Amplifier Development for Axion Search Experiments in CAPP
This paper provides a comprehensive overview of the development of flux-driven Josephson Parametric Amplifiers (JPAs) as Quantum Noise Limited Amplifier for axion search experiments conducted at the Center for Axion and Precision Physics Research (CAPP) of the Institute for Basic Science. It focuses on the characterization, and optimization of JPAs, which are crucial for achieving the highest sensitivity in axion particle detection. We discuss various characterization techniques, methods for im…

GASTLI: An open-source coupled interior-atmosphere model to unveil gas giant composition
Lorena Acu\~na, Laura Kreidberg, Meng Zhai, Paul Molli\`ere
https://arxiv.org/abs/2406.10032

GASTLI: An open-source coupled interior-atmosphere model to unveil gas giant composition
The metal mass fractions of gas giants are a powerful tool to constrain their formation mechanisms and evolution. The metal content is inferred by comparing mass and radius measurements with interior structure and evolution models. In the midst of the JWST, CHEOPS, TESS, and the forthcoming PLATO era, we are at the brink of obtaining unprecedented precision in radius, age and atmospheric metallicity measurements. To prepare for this wealth of data, we present the GAS gianT modeL for Interiors (…

Exploring the rich geometrical information in cosmic drift signals with covariant cosmography
Asta Heinesen, Miko{\l}aj Korzy\'nski
https://arxiv.org/abs/2406.06167 https://arxiv.org/pdf/2406.06167
arXiv:2406.06167v1 Announce Type: new
Abstract: Real-time measurements are becoming feasible in cosmology, where the next generation of telescopes will detect the temporal change of redshifts and sky positions of individual sources with a precision that will allow a direct detection of the cosmic expansion rate. These detections of cosmic drifts of redshifts and positions are likely to become cornerstones in modern cosmology, where one has otherwise relied on the indirect inference of cosmic expansion by estimation of the slope of the fitted distance-redshift relation. Because of their ability to directly detect the cosmic time-evolution, real-time measurements are powerful as model-independent probes. We develop a cosmographic framework for analysing cosmological redshift drift and position drift signals without knowledge of the space-time geometry. The framework can be applied to analyse data from surveys such as the Gaia observatory, the Square Kilometer Array (SKA), and the Extremely Large Telescope (ELT). The drift effects are distorted by the regional kinematics and tidal effects in the cosmic neighbourhood of the observer, giving rise to non-trivial corrections to the well known Friedmann-Lema\^{\i}tre-Robertson-Walker (FLRW) results. We discuss how one may concretely implement the framework in the statistical analysis of real-time data, along with assumptions and limitations that come with such an analysis. We also discuss the geometrical information that can ideally be extracted from ideal high-resolution data of cosmic drifts in combination with distance-redshift data.

This https://arxiv.org/abs/2406.04466 has been replaced.
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Dog Heart Rate and Blood Oxygen Metaverse Monitoring System
This study developed an improved dog heart rate and blood oxygen sensor system using Arduino. Traditional methods face accuracy and reliability issues. Our system integrates advanced computational techniques with hardware-based sensing to enhance measurement precision. An Arduino microcontroller connected to a heart rate and blood oxygen sensor collects raw data, which is preprocessed and filtered to remove noise. Experimental plans include long-term monitoring of multiple dogs and comparative …

This https://arxiv.org/abs/2404.18603 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Beating Posits at Their Own Game: Takum Arithmetic
Recent evaluations have highlighted the tapered posit number format as a promising alternative to the uniform precision IEEE 754 floating-point numbers, which suffer from various deficiencies. Although the posit encoding scheme offers superior coding efficiency at values close to unity, its efficiency markedly diminishes with deviation from unity. This reduction in efficiency leads to suboptimal encodings and a consequent diminution in dynamic range, thereby rendering posits suboptimal for gene…

This https://arxiv.org/abs/2402.02822 has been replaced.
link: https://scholar.google.com/scholar?q=a

Higgs Precision Analysis of the Full LHC Run 1 and Run 2 Data
We perform global fits of the Higgs boson couplings to the full Higgs datasets collected at the LHC with the integrated luminosities per experiment of approximately 5/fb at 7 TeV, 20/fb at 8 TeV, and up to 139/fb at 13 TeV. Our combined analysis based on the experimental signal strengths used in this work and the theoretical ones elaborated for our analysis reliably reproduce the results in the literature. We reveal that the LHC Higgs precision data are no longer best described by the SM Higgs …

This https://arxiv.org/abs/2406.06063 has been replaced.
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Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method implemented on a superconducting quantum computer, demonstrating successful simulations of steady Poiseuille flow and unsteady acoustic wave propagation. The Poiseuille flow simulation achieved a relative error of less than $0.2\%$, and the unsteady acoustic wave simula…

Constraints on the formation history and composition of Kepler planets from their distribution of orbital period ratios
Di-Chang Chen, Christoph Mordasini, Ji-Wei Xie, Ji-Lin Zhou, Alexandre Emsenhuber
https://arxiv.org/abs/2406.08794

Constraints on the formation history and composition of Kepler planets from their distribution of orbital period ratios
The Kepler high-precision planetary sample has revealed a radius valley, separating compact super-Earths from sub-Neptunes with lower density. Super-Earths are generally assumed to be rocky planets that were probably born in-situ, while the composition and origin of sub-Neptunes remains debated. To provide more constraints on the formation history and composition, based on the planetary sample of Kepler multiple planet systems, we derive the distributions of orbital period ratios of sub-Neptune…

This https://arxiv.org/abs/2406.06845 has been replaced.
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Time-dependent Relativistic Hartree-Fock model with spherical symmetry
This work establishes the time-dependent relativistic Hartree-Fock (TD-RHF) model with spherical symmetry for the first time. The time-dependent integro-differential Dirac equations are solved by expanding Dirac spinors on the spherical Dirac Woods-Saxon (DWS) basis. The numerical verification demonstrates the high conservation qualities for both the total binding energy and the particle number, as well as the time-reversal invariance of the system, which ensures the precision and reliability o…

This https://arxiv.org/abs/2402.18481 has been replaced.
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Towards a precision calculation of $N_{\rm eff}$ in the Standard Model III: Improved estimate of NLO contributions to the collision integral
We compute the dominant QED correction to the neutrino-electron interaction rate in the vicinity of neutrino decoupling in the early universe, and estimate its impact on the effective number of neutrino species $N_{\rm eff}$ in cosmic microwave background anisotropy observations. We find that the correction to the interaction rate is at the sub-percent level, consistent with a recent estimate by Jackson and Laine. Relative to that work we include the electron mass in our computations, but restr…

This https://arxiv.org/abs/2305.03015 has been replaced.
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anyH3: precise predictions for the trilinear Higgs coupling in the Standard Model and beyond
The trilinear Higgs coupling $λ_{hhh}$ of the detected Higgs boson is an important probe for physics beyond the Standard Model. Correspondingly, improving the precision of the theoretical predictions for this coupling as well as the experimental constraints on it are among the main goals of particle physics in the near future. In this article, we present the public $\mathtt{Python}$ code $\mathtt{anyH3}$, which provides precise theoretical predictions for $λ_{hhh}$. The program can easily be …

This https://arxiv.org/abs/2401.12378 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Shallower radius valley around low-mass hosts: Evidence for icy planets, collisions or high-energy radiation scatter
The radius valley, i.e., a dearth of planets with radii between 1.5 and 2 Earth radii, provides insights into planetary formation and evolution. Using homogenously revised planetary parameters from Kepler 1-minute short cadence light curves, we remodel transits of 72 small planets mostly orbiting low-mass stars, improving the precision and accuracy of planet parameters. By combining this sample with a similar sample of planets around higher-mass stars, we determine the depth of the radius valle…

Simons Observatory: Observatory Scheduler and Automated Data Processing
Yilun Guan, Kathleen Harrington, Jack Lashner, Sanah Bhimani, Kevin T. Crowley, Nicholas Galitzki, Ken Ganga, Matthew Hasselfield, Adam D. Hincks, Brian Keating, Brian J. Koopman, Laura Newburgh, David V. Nguyen, Max Silva-Feaver
https://arxiv.org/abs/2406.1…

Simons Observatory: Observatory Scheduler and Automated Data Processing
The Simons Observatory (SO) is a next-generation ground-based telescope located in the Atacama Desert in Chile, designed to map the cosmic microwave background (CMB) with unprecedented precision. The observatory consists of three small aperture telescopes (SATs) and one large aperture telescope (LAT), each optimized for distinct but complementary scientific goals. To achieve these goals, optimized scan strategies have been defined for both the SATs and LAT. This paper describes a software syste…

Systematic analysis of search strategies for $L_\mu-L_\tau$ gauge bosons at Belle II
C. Brown, J. Fiaschi, O. Fischer, T. Teubner
https://arxiv.org/abs/2406.10204

Systematic analysis of search strategies for $L_μ-L_τ$ gauge bosons at Belle II
Extensions of the Standard Model with masses at or below the GeV scale are motivated by searches for dark matter and precision measurements in the quark and lepton flavour sectors, including that of the muon anomalous magnetic moment. An excellent experimental environment to test such light new physics is given by the Belle II experiment, which foresees to take up to 50 ab$^{-1}$ of data. Here we consider a model with an additional gauged $U(1)_{L_μ- L_τ}$ symmetry that introduces a neutral g…

Ray-tracing vs. Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
Fulvio Ferlito, Christopher T. Davies, Volker Springel, Martin Reinecke, Alessandro Greco, Ana Maria Delgado, Simon D. M. White, C\'esar Hern\'andez-Aguayo, Sownak Bose, Lars Hernquist
https://arxiv.org/abs/2406.08540

Ray-tracing vs. Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
Weak gravitational lensing is a powerful tool for precision tests of cosmology. As the expected deflection angles are small, predictions based on non-linear N-body simulations are commonly computed with the Born approximation. Here we examine this assumption using ${\small DORIAN}$, a newly developed full-sky ray-tracing scheme applied to high-resolution mass-shell outputs of the two largest simulations in the MillenniumTNG suite, each with a 3000 Mpc box containing almost 1.1 trillion cold dar…

The Black Hole Explorer Cryocooling Instrument
Hannah Rana, Kazunori Akiyama, Edgar Canavan, Michael DiPirro, Mark Freeman, Peter Galison, Paul Grimes, Mareki Honma, Janice Houston, Michael Johnson, Mark Kimball, Daniel Marrone, Edward Tong
https://arxiv.org/abs/2406.09975

The Black Hole Explorer Cryocooling Instrument
The Black Hole Explorer (BHEX) is a space-based very-long baseline interferometry (VLBI) mission aimed at precision black hole measurements, detecting the photon ring around black holes, exploring spacetime, spin, and mass properties, and validating predictions of General Relativity. These objectives are achieved using cryogenic receivers with quantum-limited sensitivities across a broad frequency range. Dual-band receivers at 80-106 GHz and 240-320 GHz require operating temperatures of 20 K an…

Ray-tracing vs. Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
Fulvio Ferlito, Christopher T. Davies, Volker Springel, Martin Reinecke, Alessandro Greco, Ana Maria Delgado, Simon D. M. White, C\'esar Hern\'andez-Aguayo, Sownak Bose, Lars Hernquist
https://arxiv.org/abs/2406.08540

Ray-tracing vs. Born approximation in full-sky weak lensing simulations of the MillenniumTNG project
Weak gravitational lensing is a powerful tool for precision tests of cosmology. As the expected deflection angles are small, predictions based on non-linear N-body simulations are commonly computed with the Born approximation. Here we examine this assumption using ${\small DORIAN}$, a newly developed full-sky ray-tracing scheme applied to high-resolution mass-shell outputs of the two largest simulations in the MillenniumTNG suite, each with a 3000 Mpc box containing almost 1.1 trillion cold dar…

Ultra-low noise laser and optical frequency comb-based timing system for the Black Hole Explorer (BHEX) mission
Hannah Tomio, Guangning Yang, Holly F. Leopardi, Kenji Numata, Anthony W. Yu, Andrew Attar, Xiaozhen Xu, Wei Lu, Cheryl Gramling, T. K. Sridharan, Peter Kurczynski
https://arxiv.org/abs/2406.10222

Ultra-low noise laser and optical frequency comb-based timing system for the Black Hole Explorer (BHEX) mission
In this effort, we demonstrate the performance of a highly stable time reference for the proposed Black Hole Explorer (BHEX) mission, a space-based extension to the Event Horizon Telescope (EHT) Very Long Baseline Interferometry (VLBI) project. This precision timing system is based on the use of a space-qualified, ultra-low noise laser developed as part of the Laser Interferometer Space Antenna (LISA) mission as the timing reference, and an optical frequency comb to transfer the stability of th…