Tootfinder

Leveraging Machine Learning for Accurate and Fast Stellar Mass Estimation of Galaxies
Vahid Asadi, Akram Hasani Zonoozi, Hosein Haghi, Fatemeh Abedini, Atousa Kalantari, Marziye Jafariyazani, Nima Chartab
https://arxiv.org/abs/2506.21067

Leveraging Machine Learning for Accurate and Fast Stellar Mass Estimation of Galaxies
Unveiling the evolutionary history of galaxies necessitates a precise understanding of their physical properties. Traditionally, astronomers achieve this through spectral energy distribution (SED) fitting. However, this approach can be computationally intensive and time-consuming, particularly for large datasets. This study investigates the viability of machine learning (ML) algorithms as an alternative to traditional SED-fitting for estimating stellar masses in galaxies. We compare a diverse r…

This https://arxiv.org/abs/2302.00469 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls
This paper studies estimation and inference for average treatment effects in randomized experiments with many covariates, under a design-based framework with a deterministic number of treated units. We show that a simple yet powerful cross-fitted regression adjustment achieves bias-correction and leads to sharper asymptotic properties than existing alternatives. Specifically, we derive higher-order stochastic expansions, analyze associated inference procedures, and propose a modified HC3 varian…

efunc: An Efficient Function Representation without Neural Networks
Biao Zhang, Peter Wonka
https://arxiv.org/abs/2505.21319 https://…

efunc: An Efficient Function Representation without Neural Networks
Function fitting/approximation plays a fundamental role in computer graphics and other engineering applications. While recent advances have explored neural networks to address this task, these methods often rely on architectures with many parameters, limiting their practical applicability. In contrast, we pursue high-quality function approximation using parameter-efficient representations that eliminate the dependency on neural networks entirely. We first propose a novel framework for continuou…

Analytical weak-lensing shear response of galaxy model fitting
Xiangchong Li
https://arxiv.org/abs/2506.16607 https://arxiv.org/pdf/2…

Analytical weak-lensing shear response of galaxy model fitting
Galaxy model fitting is widely employed to estimate properties such as galaxy shape, size, and color. Understanding how the outputs of galaxy model fitting respond to weak-lensing shear distortions is crucial for accurate shear estimation and mitigating shear-related systematics in weak lensing image analyses. In this paper, we investigate how the fitted parameters - specifically flux, size, and shape - respond to weak-lensing shear distortions within the AnaCal framework. To achieve this, we i…

PID Tuning via Desired Step Response Curve Fitting
Senol Gulgonul
https://arxiv.org/abs/2506.17655 https://arxiv.org/pdf/2506.17655…

PID Tuning via Desired Step Response Curve Fitting
This paper presents a PID tuning method based on step response curve fitting (PID-SRCF) that combines integral absolute error (IAE) minimization with explicit transient response shaping. The proposed approach determines optimal PID parameters by matching the closed-loop response to any desired system response, but practically either a first-order plus time delay model or a second-order system with defined settling time and overshoot requirements. Implemented using constrained nonlinear optimiza…

Clinton’s Endorsement of Cuomo Is Grotesque but Predictable https://jacobin.com/2025/06/cuomo-clinton-endorsement-mayoral-election/

Clinton’s Endorsement of Cuomo Is Grotesque but Predictable
Bill Clinton’s last-minute endorsement of Andrew Cuomo in New York City’s mayoral race is all too fitting: both men represent the corporate Democratic establishment, opposed by socialist candidate Zohran Mamdani, that has abandoned the working class.

Now this is a shoe I’d buy.
#TerryFox
https://vancouversun.com/life/adidas-terry-fox-running-shoe-45th-anniversary-marathon-hope

Adidas re-releases Terry Fox running shoe in honour of 45th anniversary of Marathon of Hope 
Canadian icon Terry Fox is set to be honoured with a perfectly fitting release: running shoes. Find out more.

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
https://arxiv.org/abs/2506.18307

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Speech quality assessment (SQA) aims to evaluate the quality of speech samples without relying on time-consuming listener questionnaires. Recent efforts have focused on training neural-based SQA models to predict the mean opinion score (MOS) of speech samples produced by text-to-speech or voice conversion systems. This paper targets the enhancement of MOS prediction models' performance. We propose a novel score aggregation method to address the limitations of conventional annotations for MOS, w…

Empirically Predicted Absolute Magnitudes for Red Clump Stars in Mephisto and CSST Filters
Zheng Yu, Bing-Qiu Chen, Xiao-Wei Liu
https://arxiv.org/abs/2506.20078

Empirically Predicted Absolute Magnitudes for Red Clump Stars in Mephisto and CSST Filters
Red clump (RC) stars are reliable standard candles for studying the structure and evolution of the Milky Way. In this study, we present empirical calibrations of RC absolute magnitudes in the Mephisto (v, g, r, i) and CSST (g, r, i) photometric systems using a high-purity sample of 25,059 RC stars cross-matched between APOGEE and Gaia DR3 XP spectra. Through synthetic photometry and polynomial fitting, we find that RC absolute magnitudes exhibit strong dependencies on effective temperature and …

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis
Jiayong Qin, Xianyu Zhu, Qiyu Liu, Guangyi Zhang, Zhigang Cai, Jianwei Liao, Sha Hu, Jingshu Peng, Yingxia Shao, Lei Chen
https://arxiv.org/abs/2506.20139

Piecewise Linear Approximation in Learned Index Structures: Theoretical and Empirical Analysis
A growing trend in the database and system communities is to augment conventional index structures, such as B+-trees, with machine learning (ML) models. Among these, error-bounded Piecewise Linear Approximation ($ε$-PLA) has emerged as a popular choice due to its simplicity and effectiveness. Despite its central role in many learned indexes, the design and analysis of $ε$-PLA fitting algorithms remain underexplored. In this paper, we revisit $ε$-PLA from both theoretical and empirical perspe…

Schr\"odinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard, Peter Potaptchik, George Deligiannidis
https://arxiv.org/abs/2506.17197

Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Recent advances in flow-based generative modelling have provided scalable methods for computing the Schrödinger Bridge (SB) between distributions, a dynamic form of entropy-regularised Optimal Transport (OT) for the quadratic cost. The successful Iterative Markovian Fitting (IMF) procedure solves the SB problem via sequential bridge-matching steps, presenting an elegant and practical approach with many favourable properties over the more traditional Iterative Proportional Fitting (IPF) procedu…

$\eta$ and $\eta'$ mesons from $N_f = 2 1$ lattice QCD at the physical point using topological charge operators
Yue Su, Nan Wang, Long-cheng Gui, Jun Hua, Jian Liang, Jun Shi
https://arxiv.org/abs/2505.19775

$η$ and $η'$ mesons from $N_f = 2+1$ lattice QCD at the physical point using topological charge operators
By fitting the two-point correlation functions of topological charge density operators calculated on two $2+1$-flavor gauge ensembles with physical pion mass, we determine both the $η$ and $η'$ masses and also the mixing angle to be $m_η= 0.522(27)(22)$ GeV, $m_{η'}=0.970(56)(17)$ GeV, and $θ_1 = -10.7(1.4)(0.2)^\circ$, respectively, where the first error is the statistical uncertainty and the second one is the systematic uncertainty of lattice discretization effects. This is the first ext…

Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Ian Christopher Tanoh, Michael Deistler, Jakob H. Macke, Scott W. Linderman
https://arxiv.org/abs/2506.20233

Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Multi-compartment Hodgkin-Huxley models are biophysical models of how electrical signals propagate throughout a neuron, and they form the basis of our knowledge of neural computation at the cellular level. However, these models have many free parameters that must be estimated for each cell, and existing fitting methods rely on intracellular voltage measurements that are highly challenging to obtain in vivo. Recent advances in neural recording technology with high-density probes and arrays enabl…

Stochastic Preconditioning for Neural Field Optimization
Selena Ling, Merlin Nimier-David, Alec Jacobson, Nicholas Sharp
https://arxiv.org/abs/2505.20473 h…

Stochastic Preconditioning for Neural Field Optimization
Neural fields are a highly effective representation across visual computing. This work observes that fitting these fields is greatly improved by incorporating spatial stochasticity during training, and that this simple technique can replace or even outperform custom-designed hierarchies and frequency space constructions. The approach is formalized as implicitly operating on a blurred version of the field, evaluated in-expectation by sampling with Gaussian-distributed offsets. Querying the blurr…

CHILDREN benefit most of all… by X-RAY shoe fitting
https://migurski.tumblr.com/post/786924386931359744

Cross-sections and experimental signatures for detection of a well-defined dark matter WIMP
Bailey Tallman, Jehu Martinez, Rohan Shankar, Kane Rylander, Roland E. Allen
https://arxiv.org/abs/2506.19719

Cross-sections and experimental signatures for detection of a well-defined dark matter WIMP
We report the following calculations for a recently proposed bosonic dark matter WIMP with well-defined interactions: (1)~the mass as determined by fitting to the relic abundance; (2)~the current annihilation cross-section for indirect detection; (3)~cross-sections for pair production accompanied by jets in proton colliders with center-of-mass energies ranging from 13 to 100 TeV; (4)~for the high-luminosity LHC, and planned 100 TeV proton collider, detailed plots of experimentally accessible qu…

"And check out the DRAGONJAMS playlist on YouTube for almost 100 tracks of fitting synthwave music from some of my favorite artists!"
https://www.youtube.com/playlist?list=PLjTkEVVHWq9Wygpu5BpdGqKMurSsc_2HW

Being Dead - “Godzilla Rising” (2024)
This whole album is pretty good. Very fun and clever. Of course they're from Austin.
A BC supporter described them as "The Mamas and The Papas meet the Elephant Six Collective" and I think that's a fitting description. Odd time signatures, lots of vocal harmonizing, and jangly pop guitars.
Great opening track here 👇
#music

Osa Odighizuwa on fitting in Matt Eberflus' system, leadership responsibilities, more https://www.dallascowboys.com/news/osa-odighizuwa-on-fitting-in-matt-eberflus-system-leadership-responsibilities-more

Conservative data-driven finite element formulation
Adriana Kulikov\'a (Glasgow Computational Engineering Centre), Andrei G. Shvarts (Glasgow Computational Engineering Centre), {\L}ukasz Kaczmarczyk (Glasgow Computational Engineering Centre), Chris J. Pearce (Glasgow Computational Engineering Centre)
https://arxiv.org/abs/25…

Conservative data-driven finite element formulation
This paper presents a new data-driven finite element framework derived with mixed finite element formulation. The standard approach to diffusion problems requires the solution of the mathematical equations that describe both the conservation law and the constitutive relations, where the latter is traditionally obtained after fitting experimental data to simplified material models. To exploit all available information and avoid bias in the material model, we follow a data-driven approach. While …

Block Tensor Decomposition: A dual grid scheme with formal O(N3) for THC decomposition of molecular systems
Yueyang Zhang, Xuewei Xiong, Wei Wu, Peifeng Su
https://arxiv.org/abs/2506.19392

Block Tensor Decomposition: A dual grid scheme with formal O(N3) for THC decomposition of molecular systems
Accurate and fast treatment of electron-electron interactions remains a central challenge in electronic structure theory because post-Hartree-Fock methods often suffered from the computational cost for 4-index electron repulsion integrals (ERIs). Low-rank approaches such as tensor hyper-contraction (THC) and interpolative separable density fitting (ISDF) have been proposed for Hartree-Fock exchange and correlation's calculations. Their application to molecular systems remains inefficient due to…

Test fitting boards in a STEP export of the current rack chassis using Dune3D for the first time.
It's definitely got some rough edges but I think it has potential. Doesn't feel as polished as SolveSpace but the STEP import is a key feature I've found missing in other tools.
But I can't figure out how to do boolean operations on imported step geometry, even if I say it's part of a solid body I'm not able to e.g. do an extrusion to cut off the lid of the ch…

Accuracy and Precision of Random Walk with Barrier Model Fitting: Simulations and Applications in Head and Neck Cancers
Jiaren Zou, Yue Cao
https://arxiv.org/abs/2506.12228

Accuracy and Precision of Random Walk with Barrier Model Fitting: Simulations and Applications in Head and Neck Cancers
Promising results have been reported in quantifying microstructural parameters (free diffusivity, cell size, and membrane permeability) in head and neck cancers (HNCs) using time-dependent diffusion MRI fitted to Random Walk with Barrier Model (RWBM). However, model fitting remains challenging due to limited number of measurements, low signal-to-noise ratio and complex nonlinear biophysical model. In this work, we comprehensively investigated and elucidated the dependence of RWBM fitting perfor…

"AI" product development is in a strategic falsifiability crisis
The crisis is shaped like the No True Scotsman fallacy, Sunk Cost fallacy, and conspiracy theories ALL AT THE SAME TIME
there is no possible accumulated evidence that would lead boosters to conclude that "an LLM isn't an appropriate artifact to address this problem"
I see them throwing LLMs at *already beyond-adequately solved problems* (units conversion! chess! constraint fitting!), ge…

AutoSAS: a new human-aside-the-loop paradigm for automated SAS fitting for high throughput and autonomous experimentation
Duncan R. Sutherland, Rachel Ford, Yun Liu, Tyler B. Martin, Peter A. Beaucage
https://arxiv.org/abs/2506.13918

AutoSAS: a new human-aside-the-loop paradigm for automated SAS fitting for high throughput and autonomous experimentation
The advancement of artificial-intelligence driven autonomous experiments demands physics-based modeling and decision-making processes, not only to improve the accuracy of the experimental trajectory but also to increase trust by allowing transparent human-machine collaboration. High-quality structural characterization techniques (e.g., X-ray, neutron, or static light scattering) are a particularly relevant example of this need: they provide invaluable information but are challenging to analyze …

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): XI. Beam-corrected gas disk sizes from fitting 12CO moment zero maps
Leon Trapman, Miguel Vioque, Nicol\'as T. Kurtovic, Ke Zhang, Giovanni P. Rosotti, Paola Pinilla, John Carpenter, Lucas A. Cieza, Ilaria Pascucci, Rossella Anania, Carolina Agurto-Gangas, Dingshan Deng, James Miley, Laura M. P\'erez, Anibal Sierra, Beno\^it Tabone, Dary A. Ru\'iz-Rodr\'iguez, Camilo Gonz\'alez-Ruilova, Estephani To…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): XI. Beam-corrected gas disk sizes from fitting 12CO moment zero maps
The inward drift of mm-cm sized pebbles in protoplanetary disks has become an important part of our current theories of planet formation and, more recently, planet composition as well. The gas-to-dust size ratio of protoplanetary disks can provide an important constraint on how pebbles have drifted inward provided that observational effects, especially resolution, can be accounted for. Here we present a method for fitting beam-convolved models to integrated intensity maps of line emission using…

Somehow we made this part of the Queensboro Bridge worse. This is a 3-4ft wide two-way bike lane. There's so much wrong with this, from the metal manhole cover taking up almost the entire width of the bike lane, to the MUTCD-violating usage of sharrows, to those shitty rumble strip/speed bump things THAT ARE LOOSE.
Wtaf! #bikeNYC
@…

Celebrating the 250th anniversary of the United States Army is fitting.
But the Army doesn’t need to celebrate Donald Trump.
That’s what’s about to transpire in the shadow of the White House
— a ridiculous, self-aggrandizing display that would look right at home in Moscow or Tiananmen Square.
It should not happen here. Ever.

Parade Charade
Trump, who has long maligned the military, suddenly cozies up to it

The effects of continuum fitting on Lyman-$\alpha$ forest correlations
Nicolas Busca, James Rich, Julian Bautista, Andrei Cuceu, Andreu Font-Ribera, Julien Guy, Hiram K. Herrera-Alcantar, Julianna Stermer, Christophe Balland, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gazta\~naga, C. Gordon, G. Gutierrez, M. Ishak, R. Kehoe, D. Kirkby, A. Kremin, M. Landriau, L. Le Guillou, C. Magneville, P. Martini, R. Miqu…

The effects of continuum fitting on Lyman-$α$ forest correlations
Correlations of fluctuations of the flux in Lyman-$α$ forests of high-redshift quasars have been observed by the Baryonic Acoustic Oscillation Spectroscopy Survey (BOSS) and the Dark Energy Spectroscopy Instrument (DESI) survey where they have revealed the effects of baryon acoustic oscillations (BAO). In order to fit the correlation functions to a physical model and thereby constrain cosmological parameters, it is necessary to take into account the effects of fitting the observed spectra to a…

Simulation-based inference with neural posterior estimation applied to X-ray spectral fitting II -- High-resolution spectroscopy with the X-ray Integral Field Unit
Simon Dupourqu\'e, Didier Barret
https://arxiv.org/abs/2506.05911

Simulation-based inference with neural posterior estimation applied to X-ray spectral fitting II -- High-resolution spectroscopy with the X-ray Integral Field Unit
X-ray spectral fitting in high-energy astrophysics can be reliably accelerated using Machine Learning. In particular, Simulation-based Inference (SBI) produces accurate posterior distributions in the Gaussian and Poisson regime for low-resolution spectra, much faster than other exact approaches such as Monte Carlo Markov Chains or Nested Sampling. We now aim to highlight the capabilities of SBI for high-resolution spectra, as what will be provided by the newAthena X-ray Integral Field Unit (X-I…

Osa Odighizuwa on fitting in Matt Eberflus' system, leadership responsibilities, more https://www.dallascowboys.com/news/osa-odighizuwa-on-fitting-in-matt-eberflus-system-leadership-responsibilities-more

This https://arxiv.org/abs/2506.05526 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

On Fitting Flow Models with Large Sinkhorn Couplings
Flow models transform data gradually from one modality (e.g. noise) onto another (e.g. images). Such models are parameterized by a time-dependent velocity field, trained to fit segments connecting pairs of source and target points. When the pairing between source and target points is given, training flow models boils down to a supervised regression problem. When no such pairing exists, as is the case when generating data from noise, training flows is much harder. A popular approach lies in pick…

There’s no better fitting image than the Trojan horse. 🐴 💙💛
https://mastodon.social/@MAKS23/114609894373777931

Outflowing shocked gas dominates the NIR H$_2$ emission from the dual AGN NGC6240
J. Carlsen, C. Cicone, B. Hagedorn, K. Rubinur, P. Andreani, K. Dasyra, P. Severgnini, C. Vignali, R. Morganti, T. Oosterloo, A. Lasrado, E. Lopez-Rodriguez, S. Shen
https://arxiv.org/abs/2506.17584

Outflowing shocked gas dominates the NIR H$_2$ emission from the dual AGN NGC6240
[Abridged] We present a multi-line study of the kinematics of the molecular and ionised gas phases in the central 2 kpc of NGC6240, based on JWST/NIRSpec and ALMA observations. We devised a new spectral-line fitting approach to de-blend rotating and non-rotating gas components, which is better tailored to the extreme feedback mechanisms at work in NGC6240. We find that ~65% of the Pa$α$, H$_2$, and [FeII] line fluxes within the NIRSpec field of view arise from gas components that are kinematic…

Fitting without fittings
Johanna Bimmermann, Bernd Stratmann, Kai Zehmisch
https://arxiv.org/abs/2506.07525 https://arxiv.org/pdf/250…

Fitting without fittings
We show that all symplectically aspherical fillings of the unit cotangent bundle of a given odd-dimensional sphere are diffeomorphic to the corresponding unit co-disc bundle. The concept of fittings previously introduced is not needed.

Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments
Zaiqiang Wu, I-Chao Shen, Takeo Igarashi
https://arxiv.org/abs/2506.12348

Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting Garments
Per-garment virtual try-on methods collect garment-specific datasets and train networks tailored to each garment to achieve superior results. However, these approaches often struggle with loose-fitting garments due to two key limitations: (1) They rely on human body semantic maps to align garments with the body, but these maps become unreliable when body contours are obscured by loose-fitting garments, resulting in degraded outcomes; (2) They train garment synthesis networks on a per-frame basi…

A Nonconforming Finite Element Method for Elliptic Interface Problems on Locally Anisotropic Meshes
Hua Wang, Qichen Zhang
https://arxiv.org/abs/2506.15077

A Nonconforming Finite Element Method for Elliptic Interface Problems on Locally Anisotropic Meshes
We propose a new nonconforming \(P_1\) finite element method for elliptic interface problems. The method is constructed on a locally anisotropic mixed mesh, which is generated by fitting the interface through a simple connection of intersection points on an interface-unfitted background mesh, as introduced in \cite{Hu2021optimal}. We first establish interpolation error estimates on quadrilateral elements satisfying the regular decomposition property (RDP). Building on this, the main contributio…

Balancing Intensity and Focality in Directional DBS Under Uncertainty: A Simulation Study of Electrode Optimization via a Metaheuristic L1L1 Approach
Fernando Galaz Prieto, Antti Lassila, Maryam Samavaki, Sampsa Pursiainen
https://arxiv.org/abs/2506.13452

Balancing Intensity and Focality in Directional DBS Under Uncertainty: A Simulation Study of Electrode Optimization via a Metaheuristic L1L1 Approach
As DBS technology advances toward directional leads and optimization-based current steering, this study aims to improve the selection of electrode contact configurations using the recently developed L1-norm regularized L1-norm fitting (L1L1) method. The focus is in particular on L1L1's capability to incorporate a priori lead field uncertainty, offering a potential advantage over conventional approaches that do not account for such variability. Our optimization framework incorporates uncertainty…

Exploring Discrete Factor Analysis with the discFA Package in R
Reza Arabi Belaghi, Yasin Asar, Rolf Larsson
https://arxiv.org/abs/2506.13309 https://

Exploring Discrete Factor Analysis with the discFA Package in R
Literature suggested that using the traditional factor analysis for the count data may be inappropriate. With that in mind, discrete factor analysis builds on fitting systems of dependent discrete random variables to data. The data should be in the form of non-negative counts. Data may also be truncated at some positive integer value. The discFA package in R allows for two distributions: Poisson and Negative Binomial, in combination with possible zero inflation and possible truncation, hence, e…

#BritneySpears: "I am for the #deathpenalty. Who commits terrible acts must get a fitting #punishment. That way he learns the lesson for the next time."
The closest I found as referenc…

Automatic generation of density fitting auxiliary basis sets for all electron Dirac-Kohn-Sham calculations
Nicolo' Antonini, Enrico Ronca, Loriano Storchi, Leonardo Belpassi
https://arxiv.org/abs/2506.15631

Automatic generation of density fitting auxiliary basis sets for all electron Dirac-Kohn-Sham calculations
In this study, we present a general workflow that enables the automatic generation of auxiliary density basis sets for all elements of the periodic table (from H to Og) to facilitate the general applicability of relativistic Dirac-Kohn-Sham calculations. It is an important tool for the accurate description of relativistic effects, including spin-orbit coupling, in molecules containing heavy elements. The latter are very important in various fields ranging from catalysis to quantum technologies.…

Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer
Alonso Espinoza, Eric Goles, Marco Montalva-Medel
https://arxiv.org/abs/2506.02525

Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer
Boolean networks are powerful frameworks for capturing the logic of gene-regulatory circuits, yet their combinatorial explosion hampers exhaustive analyses. Here, we present a systematic reduction of a 31-node Boolean model that describes cisplatin- and pemetrexed-resistance in non-small-cell lung cancer to a compact 9-node core that exactly reproduces the original attractor landscape. The streamlined network shrinks the state space by four orders of magnitude, enabling rapid exploration of cri…

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…

Continuous Indexed Points for Multivariate Volume Visualization
Liang Zhou, Xinyi Gou, Daniel Weiskopf
https://arxiv.org/abs/2506.19400 https://

Continuous Indexed Points for Multivariate Volume Visualization
We introduce continuous indexed points for improved multivariate volume visualization. Indexed points represent linear structures in parallel coordinates and can be used to encode local correlation of multivariate (including multifield, multifaceted, and multiattribute) volume data. First, we perform local linear fitting in the spatial neighborhood of each volume sample using principal component analysis, accelerated by hierarchical spatial data structures. This local linear information is then…

Series D, Episode 05 - Animals
DAYNA: Set.
TARRANT: Good luck.
[Dayna teleports to the surface of Bucol Two. Looks around]
DAYNA: [Into bracelet] Scorpio. Down safe.
TARRANT: [Voice over] Right, standing by. Let me know when you make contact.
https://blake.torpidity.net/m/405/3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Analysis of shape and angular orientation parameters of velocity-dependent dark matter annihilation signals in Galactic Centers for FIRE simulations
Daniel McKeown
https://arxiv.org/abs/2506.16583

Analysis of shape and angular orientation parameters of velocity-dependent dark matter annihilation signals in Galactic Centers for FIRE simulations
We use FIRE-2 zoom cosmological simulations of Milky Way size galaxy halos to characterize the shape of the J-factor emission signal on the sky. We find that, at a fixed dJ/dΩ contour,the shape is well-fit by an ellipse, with semi-major axis Rmajor and semi-minor axis Rminor measured in degrees on the sky. We use least squares fitting to fit ellipses to the J-factor emission, viewed from the solar location. The ratio of minor to major axes (Rminor/Rmajor) allows us to characterize the shape of…

GPa Pressure Imaging Using Nanodiamond Quantum Sensors
Ryotaro Suda, Kenshin Uriu, Kouki Yamamoto, Misaki Sasaki, Kento Sasaki, Mari Einaga, Katsuya Shimizu, Kensuke Kobayashi
https://arxiv.org/abs/2506.09058

GPa Pressure Imaging Using Nanodiamond Quantum Sensors
We demonstrate wide-field optical microscopy of the pressure distribution at approximately 20 GPa in a diamond anvil cell (DAC), using nitrogen-vacancy (NV) centers in nanodiamonds (NDs) as quantum sensors. Pressure and non-hydrostaticity maps are obtained by fitting optically detected magnetic resonance (ODMR) spectra with models incorporating hydrostatic and uniaxial stress conditions. Two methods for introducing NDs with a pressure-transmitting medium are compared, revealing that the embeddi…

Beyond Traditional Diagnostics: Identifying Active Galactic Nuclei with Spectral Energy Distribution Fitting in DESI Data
M. Siudek, M. Mezcua, C. Circosta, C. Maraston, J. Moustakas, H. Zou, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, K. S. Dawson, A. de la Macorra, Arjun Dey, P. Doel, J. E. Forero-Romero, E. Gazta\~naga, S. Gontcho A Gontcho, G. Gutierrez, M. Ishak, S. Juneau, D. Kirkby, T. Kisner, A. Kremin, A. Lambert, M. Landriau, L. Le Guillou, A. Meisner, R. Mique…

Beyond Traditional Diagnostics: Identifying Active Galactic Nuclei with Spectral Energy Distribution Fitting in DESI Data
Active galactic nuclei (AGN) are typically identified through their distinctive X-ray or radio emissions, mid-infrared (MIR) colors, or emission lines. However, each method captures different subsets of AGN due to signal-to-noise (SNR) limitations, redshift coverage, and extinction effects, underscoring the necessity for a multi-wavelength approach for comprehensive AGN samples. This study explores the effectiveness of spectral energy distribution (SED) fitting as a robust method for AGN identi…

Measurement of the photosphere oblateness of $\gamma$ Cassiopeiae via Stellar Intensity Interferometry with the VERITAS Observatory
A. Archer, J. P. Aufdenberg, P. Bangale, J. T. Bartkoske, W. Benbow, J. H. Buckley, Y. Chen, N. B. Y. Chin, J. L. Christiansen, A. J. Chromey, A. Duerr, M. Escobar Godoy, S. Feldman, Q. Feng, S. Filbert, L. Fortson, A. Furniss, W. Hanlon, O. Hervet, C. E. Hinrichs, J. Holder, Z. Hughes, T. B. Humensky, W. Jin, M. N. Johnson, M. Kertzman, M. Kherlakian, D. …

Measurement of the photosphere oblateness of $γ$ Cassiopeiae via Stellar Intensity Interferometry with the VERITAS Observatory
We use the stellar intensity interferometry system implemented with the Very Energetic Radiation Imaging Telescope Array System (VERITAS) at Fred Lawrence Whipple Observatory (FLWO) as a light collector to obtain measurements of the rapid rotator star $γ$ Cassiopeiae, at a wavelength of 416 nm. Using data from baselines sampling different position angles, we extract the size, oblateness, and projected orientation of the photosphere. Fitting the data with a uniform ellipse model yields a minor-…

From One AFC West Club To Another: The Division Of RBs Stays Strong https://raiderramble.com/2025/06/04/from-one-afc-west-club-to-another-division-of-rbs/

Impact of model parameter degeneracy on leptonic radiation models. The case of blazar multi-wavelength spectra
F. Apel, A. Omeliukh, A. Franckowiak, J. Lederer
https://arxiv.org/abs/2506.06080

Impact of model parameter degeneracy on leptonic radiation models. The case of blazar multi-wavelength spectra
Leptonic one-zone radiation models are commonly used to describe multi-wavelength data and explore the physical properties of high-energy sources, such as active galactic nuclei. However, these models often require a large number of free parameters. In the context of possible parameter degeneracy and the complex landscape of the parameter space, we study how the choice of the fitting procedure impacts the characterization of the source properties. Furthermore, we examine how the data coverage a…

Probabilistic patient risk profiling with pair-copula constructions
\"Ozge \c{S}ahin
https://arxiv.org/abs/2506.13731 https://ar…

Probabilistic patient risk profiling with pair-copula constructions
We present, to our knowledge, the first clinical application of vine copula-based classifiers for probabilistic perioperative risk prediction. We obtain full joint probability models for mixed continuous-ordinal variables by fitting a separate vine copula to each outcome class, capturing nonlinear and tail-asymmetric dependence. In a cohort of 767 elective bowel surgeries (81 serious vs. 686 non-serious complications), posterior probabilities from the fitted classification models are used to al…

IntLevPy: A Python library to classify and model intermittent and L\'evy processes
Shailendra Bhandari, Pedro Lencastre, Sergiy Denysov, Yurii Bystryk, Pedro G. Lind
https://arxiv.org/abs/2506.03729

IntLevPy: A Python library to classify and model intermittent and Lévy processes
IntLevPy provides a comprehensive description of the IntLevPy Package, a Python library designed for simulating and analyzing intermittent and Lévy processes. The package includes functionalities for process simulation, including full parameter estimation and fitting optimization for both families of processes, moment calculation, and classification methods. The classification methodology utilizes adjusted-$R^2$ and a noble performance measure Γ, enabling the distinction between intermittent …

Meter-scale Observations of Equatorial Plasma Turbulence
Magnus F Ivarsen, Lasse B N Clausen, Yaqi Jin, Jaeheung Park
https://arxiv.org/abs/2506.08665 http…

Meter-scale Observations of Equatorial Plasma Turbulence
The multi-Needle Langmuir Probe collects an electron current through four fixed-bias cylindrical copper needles. This allows for an extremely high sampling frequency, with plasma properties being inferred through polynomial fitting in the current-voltage plane. We present initial results from such a multi-needle probe mounted on the International Space Station, orbiting Earth at an altitude of around 400 km. That altitude, and its orbital inclination (~50 degrees), place the ISS as a suitable p…

GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
IceCube Collaboration
https://arxiv.org/abs/2506.04491 https:…

GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
We present GollumFit, a framework designed for performing binned-likelihood analyses on neutrino telescope data. GollumFit incorporates model parameters common to any neutrino telescope and also model parameters specific to the IceCube Neutrino Observatory. We provide a high-level overview of its key features and how the code is organized. We then discuss the performance of the fitting in a typical analysis scenario, highlighting the ability to fit over tens of nuisance parameters. We present s…

Magnetic and thermodynamic studies on the distorted kagome magnet Pr$_3$BWO$_9$
Ahmed Elghandour, Jan Arneth, Annu Yadav, Sven Luther, Panchanan Khuntia, R\"udiger Klingeler
https://arxiv.org/abs/2506.06070

Magnetic and thermodynamic studies on the distorted kagome magnet Pr$_3$BWO$_9$
We report specific heat, ac/dc magnetic susceptibility as well as static and pulsed field magnetization studies on the distorted kagome magnet Pr$_3$BWO$_9$ down to 0.4~K and up to high magnetic fields. The low-temperature thermodynamic properties are found to be governed by an electronic quasi-doublet ground state; the energy splitting of which amounts to $Δ_1\simeq 18$ K and exhibits a quadratic field dependence with $g_\mathrm{eff} = 2.6$. Fitting of the specific heat data implies that the …

Fluctuations in email size modeled using a gamma-like distribution
Yoshitsugu Matsubara
https://arxiv.org/abs/2506.03500 https://arxi…

Fluctuations in email size modeled using a gamma-like distribution
A previously established frequency distribution model, which integrates a lognormal distribution with a logarithmic equation, effectively characterizes fluctuations in email size during sending requests. In addition, an email size generation model has been developed based on this log-normal-like framework. While the fitting of these models has been deemed satisfactory, they can be further enhanced in the range of small email sizes. This study advances these models by incorporating a gamma distr…

Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
Teddy Groves, Nicholas Luke Cowie, Lars Keld Nielsen
https://arxiv.org/abs/2506.15423

Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
Modern implementations of Hamiltonian Monte Carlo and related MCMC algorithms support sampling of probability functions that embed numerical root-finding algorithms, thereby allowing fitting of statistical models involving analytically intractable algebraic constraints. However the application of these models in practice is limited by the computational cost of computing large numbers of numerical solutions. We identify a key limitation of previous approaches to HMC with embedded root-finding, w…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): X. Dust Substructures, Disk Geometries, and Dust-disk Radii
Miguel Vioque, Nicol\'as T. Kurtovic, Leon Trapman, Anibal Sierra, Laura M. P\'erez, Ke Zhang, Pietro Curone, Giovanni P. Rosotti, John Carpenter, Beno\^it Tabone, Paola Pinilla, Dingshan Deng, Ilaria Pascucci, James Miley, Carolina Agurto-Gangas, Lucas A. Cieza, Rossella Anania, Dary A. Ruiz-Rodriguez, Camilo Gonz\'alez-Ruilova, Estephani E. Torre…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): X. Dust Substructures, Disk Geometries, and Dust-disk Radii
We perform visibility fitting to the dust continuum Band 6 1.3 mm data of the 30 protoplanetary disks in the AGE-PRO ALMA Large Program. We obtain disk geometries, dust-disk radii, and azimuthally symmetric radial profiles of the intensity of the dust continuum emission. We examine the presence of continuum substructures in the AGE-PRO sample by using these radial profiles and their residuals. We detect substructures in 15 out of 30 disks. We report five disks with large ($>$15 au) inner dust c…

Series D, Episode 05 - Animals
DAYNA: Set.
TARRANT: Good luck.
[Dayna teleports to the surface of Bucol Two. Looks around]
DAYNA: [Into bracelet] Scorpio. Down safe.
TARRANT: [Voice over] Right, standing by. Let me know when you make contact.
https://blake.torpidity.net/m/405/3

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Use of Redshifts as Evidence of Dark Energy
Jan Stenflo
https://arxiv.org/abs/2506.12279 https://arxiv.org/pdf/2506.12279

Use of Redshifts as Evidence of Dark Energy
The large-scale dynamics of the universe is generally described in terms of the time-dependent scale factor $a(t)$. To make contact with observational data, the $a(t)$ function needs to be related to the observable $z(r)$ function, redshift versus distance. Model fitting of data has shown that the equation that governs $z(r)$ needs to contain a constant term, which has been identified as Einstein's cosmological constant. Here, it is shown that the required constant term is not a cosmological co…

CLUES III: Do User Choices Impact The Results of SED Fitting? Tests of 'Off-The-Shelf' Stellar Population and Dust Extinction Models in the CLUES Sample
Andrew Mizener, Daniela Calzetti, Angela Adamo, Aida Wofford, Matthew J. Hayes, John Chisholm, Michele Fumagalli, Svea Hernandez, Matteo Maria Messa, Linda J. Smith, Arjan Bik, Kathryn Grasha, Mattia Sirressi

CLUES III: Do User Choices Impact The Results of SED Fitting? Tests of 'Off-The-Shelf' Stellar Population and Dust Extinction Models in the CLUES Sample
The simple stellar population models produced by stellar population and spectral synthesis (SPS) codes are used as spectral templates in a variety of astrophysical contexts. In this paper, we test the predictions of four commonly used stellar population synthesis codes (YGGDRASIL, BPASS, FSPS, and a modified form of GALAXEV which we call GALAXEVneb) by using them as spectral templates for photometric SED fitting with a sample of 18 young stellar clusters. All clusters have existing HST COS FUV …

George Pickens feels Dallas Cowboys offense is perfect fit for his skillset https://www.si.com/nfl/cowboys/news/george-pickens-feels-dallas-cowboys-offense-perfect-fit-for-his-skillset

Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization
Tam Le (LPSM, UPCit\'e)
https://arxiv.org/abs/2506.04948

Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization
Distributionally robust optimization offers a compelling framework for model fitting in machine learning, as it systematically accounts for data uncertainty. Focusing on Wasserstein distributionally robust optimization, we investigate the regularized problem where entropic smoothing yields a sampling-based approximation of the original objective. We establish the convergence of the approximate gradient over a compact set, leading to the concentration of the regularized problem critical points o…

Higher-order thermal transport theory for phonon thermal transport in semiconductors using lattice dynamics calculations and the Boltzmann transport equation
Ankit Jain, Yagyank Srivastava, Amey G. Gokhale, Nidheesh Virakante, Hardik L. Kagdada
https://arxiv.org/abs/2505.23307

Higher-order thermal transport theory for phonon thermal transport in semiconductors using lattice dynamics calculations and the Boltzmann transport equation
The phonon thermal conductivity of semiconducting periodic solids can be obtained using the lattice dynamics calculations along with the Boltzmann transport equation and with input from density functional theory calculations. These calculations have resulted in an excellent agreement with experiments without requiring any fitting parameters. However, over the last decade, many material systems have been identified where the lowest level lattice dynamics theory, which is based on the relaxation …

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
T. Alkousa (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), P. A. Crowther (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), J. M. Bestenlehner (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield, School of Chemical, M…

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
We aim to investigate the theoretical bi-stability jump, which predicts an increase in mass-loss rates below 21 kK. We further aim to constrain the photospheric and wind parameters of a sample of 16 LMC late-O and B supergiants. We utilise the 1D, non-LTE radiative transfer model CMFGEN in a grid-based approach and subsequent fine-tuned spectroscopic fitting procedure to determine the stellar and wind parameters of each star. We apply this method to ultra-violet data from the ULLYSES programme …

SuSAM-v2: improved superscaling description of electron and CC neutrino quasielastic scattering using effective mass dynamics
V. L. Martinez-Consentino, P. R. Casale, J. E. Amaro
https://arxiv.org/abs/2506.03934

SuSAM-v2: improved superscaling description of electron and CC neutrino quasielastic scattering using effective mass dynamics
We present an improved version of the Superscaling Analysis with Relativistic Effective Mass, denoted as SuSAM-v2. In the original SuSAM model, a universal scaling function was fitted to a selected set of quasielastic electron scattering (e,e') cross section data, using a phenomenological ansatz inspired by the Relativistic Mean Field model of nuclear matter. In this work, we refine the procedure by first fitting a longitudinal scaling function directly to experimental longitudinal response dat…

Detailed Time Resolved Spectral and Temporal Investigations of SGR J1550-5418 Bursts Detected with Fermi/Gamma-ray Burst Monitor
Mustafa Demirer, Ersin G\"o\u{g}\"u\c{s}, Yuki Kaneko, \"Ozge Keskin, Sinem \c{S}a\c{s}maz, Shotaro Yamasaki
https://arxiv.org/abs/2506.04414

Detailed Time Resolved Spectral and Temporal Investigations of SGR J1550-5418 Bursts Detected with Fermi/Gamma-ray Burst Monitor
We have conducted a time-resolved spectral analysis of magnetar bursts originating from SGR J1550-5418. Our analysis utilizes a two-step methodology for temporal segmentation of the data. We first generated and fitted overlapping time segments. Subsequently, we obtained non-overlapping time segments with varying lengths based on their spectral evolution patterns, employing a machine learning algorithm called k-means clustering. For the fitting process, we employed three distinct models, namely …

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…

Optimization of the multiple sampling and signal extraction in non-destructive exposures
B. Kubik, R. Barbier, A. Castera, E. Chabanat, S. Ferriol, G. Smadja
https://arxiv.org/abs/2506.04904

Optimization of the multiple sampling and signal extraction in non-destructive exposures
We derive the full covariance matrix formulae are derived for proper treatment of correlations in signal fitting procedures, extending the results from previous publications. The straight line fits performed with these matrices demonstrate that a significantly higher signal to noise is obtained when the fluence exceeds 1 e/sec/pix in particular in long (several hundreds of seconds) spectroscopic exposures. The improvement arising from the covariance matrix is particularly strong for the initial…

This https://arxiv.org/abs/2504.05003 has been replaced.
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The role of the screening potential in the deuteron-deuteron thermonuclear reaction rates
The deuteron-deuteron (D-D) thermonuclear reaction rates in metallic environments (considering the electron screening effects) is calculated using the S-factor functions which were obtained by fitting to low-energy data on D-D reactions. For this purpose, a fitted S-factor model based on the NACRE compilation is employed. This limited the energy range of Big Bang nucleosynthesis (BBN) for the $ ^{2}\textrm{H}\left(d,p\right) ^{3}\textrm{H}$ and $^{2} \textrm{H} \left(d,n\right) ^{3}\t…

This https://arxiv.org/abs/2410.21527 has been replaced.
link: https://scholar.google.com/scholar?q=a

VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models
We introduce VISTA, a clustering approach for multivariate and irregularly sampled time series based on a parametric state space mixture model. VISTA is specifically designed for the unsupervised identification of groups in datasets originating from healthcare and psychology where such sampling issues are commonplace. Our approach adapts linear Gaussian state space models (LGSSMs) to provide a flexible parametric framework for fitting a wide range of time series dynamics. The clustering approac…

This https://arxiv.org/abs/2410.17698 has been replaced.
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ProGeny II: the impact of libraries and model configurations on inferred galaxy properties in SED fitting
We use a volume-complete sample of ~8,000 galaxies from the GAMA survey to characterise the impact of stellar population libraries (SPLs) and model configurations on the resulting inferred galaxy properties from Spectral Energy Distribution (SED) fitting. We compare a fiducial SPL from ProGeny (a new tool that can generate SPLs quickly and flexibly) against five other commonly used SPLs using the SED-fitting code ProSpect. The impact of selecting each SPL is compared to the consequence of chang…

Learning Parametric Convex Functions
Maximilian Schaller, Alberto Bemporad, Stephen Boyd
https://arxiv.org/abs/2506.04183 https://arx…

Learning Parametric Convex Functions
A parametrized convex function depends on a variable and a parameter, and is convex in the variable for any valid value of the parameter. Such functions can be used to specify parametrized convex optimization problems, i.e., a convex optimization family, in domain specific languages for convex optimization. In this paper we address the problem of fitting a parametrized convex function that is compatible with disciplined programming, to some given data. This allows us to fit a function arising i…

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Xu He, Junpeng Gong, Zhaohui Li
https://arxiv.org/abs/2506.04582

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Computer simulations serve as powerful tools for scientists and engineers to gain insights into complex systems. Less costly than physical experiments, computer experiments sometimes involve large number of trials. Conventional design optimization and model fitting methods for computer experiments are inefficient for large-scale problems. In this paper, we propose new methods to optimize good lattice point sets, using less computation to construct designs with enhanced space-filling properties …

traccc: GPU track reconstruction library for HEP experiments
Paul Gessinger, Heather M. Gray, Attila Krasznahorkay, Charles Leggett, Joana Niermann, Andreas Salzburger, Stephen Nicholas Swatman, Beomki Yeo
https://arxiv.org/abs/2505.22822

traccc: GPU track reconstruction library for HEP experiments
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. traccc implements tracking algorithms used in high energy physics (HEP) experiments, including the Kalman filter based track finding and fitting. We benchmark the software with data simulated by Geant4 to measure the physics and computing performance. We show that the physics performance for GPU and CPU are very close. We…

WishGI: Lightweight Static Global Illumination Baking via Spherical Harmonics Fitting
Junke Zhu, Zehan Wu, Qixing Zhang, Cheng Liao, Zhangjin Huang
https://arxiv.org/abs/2506.01288

WishGI: Lightweight Static Global Illumination Baking via Spherical Harmonics Fitting
Global illumination combines direct and indirect lighting to create realistic lighting effects, bringing virtual scenes closer to reality. Static global illumination is a crucial component of virtual scene rendering, leveraging precomputation and baking techniques to significantly reduce runtime computational costs. Unfortunately, many existing works prioritize visual quality by relying on extensive texture storage and massive pixel-level texture sampling, leading to large performance overhead.…

Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey
B. Kubik, R. Barbier, P. Calabria, A. Castera, E. Chabanat, F. Charlieu, J-C. Clemens, A. Ealet, S. Ferriol, W. Gillard, T. Maciaszek, E. Prieto, F. Schirra, A. Secroun, B. Serra, G. Smadja, A. Tilquin, J. Zoubianb
https://arxiv.org/ab…

Low noise flux estimate and data quality control monitoring in EUCLID-NISP cosmological survey
Euclid mission is designed to understand the dark sector of the universe. Precise redshift measurements are provided by H2RG detectors. We propose an unbiased method of fitting the flux with Poisson distributed and correlated data, which has an analytic solution and provides a reliable quality factor - fundamental features to ensure the goals of the mission. We compare our method to other techniques of signal estimation and illustrate the anomaly detection on the flight like detectors. Although…

This https://arxiv.org/abs/2411.18486 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A new potential method for the $X_{\rm max}$ measurement of extensive air showers based on backtracking radio signals
{Measurements of cosmic-ray composition based on air-shower measurements rely mostly on the determination of the position of the shower maximum ($X_\mathrm{max}$). One efficient technique is to image the development of the air shower using fluorescence telescopes. An alternative technique that has made significant advances in the recent years is to measure the radio emission from air shower. Common methods for $X_\mathrm{max}$ determination in the radio detection technique include fitting a two…

This https://arxiv.org/abs/2410.03874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A differentiable N-body code for transit timing and dynamical modelling -- II. Photodynamics
Exoplanet transits contain substantial information about the architecture of a system. By fitting transit light curves we can extract dynamical parameters and place constraints on the properties of the planets and their host star. Having a well-defined probabilistic model plays a crucial role in making robust measurements of these parameters, and the ability to differentiate the model provides access to more robust inference tools. Gradient-based inference methods can allow for more rapid and a…

Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
Staci Hepler, Rob Erhardt
https://arxiv.org/abs/2505.24594

Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
High dimensional space-time data pose known computational challenges when fitting spatio-temporal models. Such data show dependence across several dimensions of space as well as in time, and can easily involve hundreds of thousands of observations. Many spatio-temporal models result in a dependence structure across all observations and can be fit only at a substantial computational cost, arising from dense matrix inversion, high dimensional parameter spaces, poor mixing in Markov Chain Monte Ca…

Uplifting, Depressing, and Tilting Dark Energy
Eric V. Linder
https://arxiv.org/abs/2506.02122 https://arxiv.org/pdf/2506.02122

Uplifting, Depressing, and Tilting Dark Energy
Current data in the form of baryon acoustic oscillation, supernova, and cosmic microwave background distances prefer a cosmology that accelerates more strongly than $Λ$CDM at $z\approx0.5-1.5$, and more weakly at $z\lesssim0.5$. We examine dark energy physics that can accommodate this, showing that interactions (decays, coupling to matter, nonminimal coupling to gravity) fairly generically tend not to give a satisfactory solution (in terms of fitting both distances and growth) even if they ena…

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Avery Drennan, Jeffrey Covington, Dan Han, Andrew Attilio, Jaechoul Lee, Richard Posner, Eck Doerry, Joseph Mihaljevic, Ye Chen
https://arxiv.org/abs/2505.24127

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Compartmental models are effective in modeling the spread of infectious pathogens, but have remaining weaknesses in fitting to real datasets exhibiting stochastic effects. We propose a stochastic SIHR model with a dynamic transmission rate, where the rate is modeled by the Black-Karasinski (BK) process - a mean-reverting stochastic process with a stable equilibrium distribution, making it well-suited for modeling long-term epidemic dynamics. To generate sample paths of the BK process and estima…

Echo mapping of the black hole accretion flow in NGC 7469
Raj Prince, Juan V. Hern\'andez Santisteban, Keith Horne, J. Gelbord, Ian McHardy, R. Edelson, C. A. Onken, F. R. Donnan, M. Vestergaard, S. Kaspi, H. Winkler, E. M. Cackett, H. Landt, A. J. Barth, T. Treu, S. Valenti, P. Lira, D. Chelouche, E. Romero Colmenero, M. R. Goad, D. H. Gonzalez-Buitrago, E. Kara, C. Villforth

Echo mapping of the black hole accretion flow in NGC 7469
Reverberation mapping (RM) can measure black hole accretion disc sizes and radial structure through observed time lags that should increase with wavelength as $τ\proptoλ^{4/3}$. Our 250-day RM campaign on NGC 7469 combines sub-day cadence 7-band photometry from the Las Cumbres Observatory robotic telescopes and weekly X-ray and UVOT data from Swift. By fitting these light curves, we measure the spectral energy distribution of the variable accretion disc and inter-band lags of just 1.5 days ac…

This https://arxiv.org/abs/2505.20656 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A joint analysis of 3D clustering and galaxy \times CMB-lensing cross-correlations with DESI DR1 galaxies
The spectroscopic data from DESI Data Release 1 (DR1) galaxies enables the analysis of 3D clustering by fitting galaxy power spectra and reconstructed correlation functions in redshift space. Given low measurements of the amplitude of structure from cosmic shear at $z\sim1$, redshift space distortions (RSD) + Baryon Acoustic Oscillation (BAO) signals from DESI galaxies combined with weak lensing can break degeneracies and provide a tight alternative constraint on the $z\sim1$ amplitude of struc…

PDRs4All XIV: CH radical and $H_3^ $ molecular ion in the irradiated protoplanetary disk d203-506
I. Schroetter, O. Bern\'e, J. R. Goicoechea, J. H. Black, O. Roncero, F. Alarcon, P. Amiot, O. Asvany, C. Boersma, S. Br\"unken, J. Cami, L. Coudert, E. Dartois, A. Fuente, B. Gans, A. Gusdorf, U. Jacovella, M. A. Martin Drumel, T. Onaka, E. Peeters, E. Roueff, A. G. G. M. Tielens, M. Zannese

PDRs4All XIV: CH radical and $H_3^+$ molecular ion in the irradiated protoplanetary disk d203-506
Most protoplanetary disks experience a phase in which they are subjected to strong ultraviolet radiation from nearby massive stars. This UV radiation can substantially alter their chemistry by producing numerous radicals and molecular ions. In this Letter we present detailed analysis of the JWST-NIRSpec spectrum of the d203-506 obtained as part of the PDRs4All Early Release Science program. Using state-of-the-art spectroscopic data, we searched for species using a multi-molecule fitting tool, P…

This https://arxiv.org/abs/2412.15383 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

DESI Mg II Absorbers: Extinction Characteristics & Quasar Redshift Accuracy
In this paper, we study how absorption-line systems affect the spectra and redshifts of quasars (QSOs), using catalogs of Mg II absorbers from the early data release (EDR) and first data release (DR1) of the Dark Energy Spectroscopic Instrument (DESI). We determine the reddening effect of an absorption system by fitting an un-reddened template spectrum to a sample of 50,674 QSO spectra that contain Mg II absorbers. We find that reddening caused by intervening absorbers (voff > 3500 km/s) has an…

Inferring Obscured Cosmic Black Hole Accretion History from AGN Found by JWST/MIRI CEERS Survey
C. -A. Hsieh (Department of Physics, National Taiwan University), T. Goto (Institute of Astronomy, National Tsing Hua University, Department of Physics, National Tsing Hua University), C. -T. Ling (Institute of Astronomy, National Tsing Hua University), S. J. Kim (Institute of Astronomy, National Tsing Hua University), T. Hashimoto (Department of Physics, National Chung Hsing University), T.…

Inferring Obscured Cosmic Black Hole Accretion History from AGN Found by JWST/MIRI CEERS Survey
This study presents the black hole accretion history (BHAH) of obscured active galactic nuclei (AGNs) identified from the JWST CEERS survey by Chien et al. (2024) using mid-infrared (MIR) SED fitting. We compute black hole accretion rates (BHARs) to estimate the black hole accretion density (BHAD), $ρ_{L_{\mathrm{disk}}}$, across $0 < z < 4.25$. MIR luminosity functions (LFs) are also constructed for these sources, modeled with modified Schechter and double power law forms, and corresponding B…

This https://arxiv.org/abs/2501.08568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

ODIN: Star Formation Histories Reveal Formative Starbursts Experienced by Lyman Alpha Emitting Galaxies at Cosmic Noon
In this work, we test the frequent assumption that Lyman Alpha Emitting galaxies (LAEs) are experiencing their first major burst of star formation at the time of observation. To this end, we identify 74 LAEs from the ODIN Survey with rest-UV-through-NIR photometry from UVCANDELS. For each LAE, we perform non-parametric star formation history (SFH) reconstruction using the Dense Basis Gaussian process-based method of spectral energy distribution fitting. We find that a strong majority (67%) of o…