Tootfinder

I need your help. It's surprisingly hard to find a PC game (or port/emulation) that ticks the following boxes:
- generally easy, or with easy difficulty setting
- mostly linear, not open world
- story-driven
- ideally, controller support
You know what I mean? I'm looking for something relaxing for when my brain is exhausted where I don't have to make too many decisions.
#AskFedi

CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
Shuren Zhou, Zhao Chen, Yu Yu
https://arxiv.org/abs/2506.04671

CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
Galaxy clustering is an important probe in the upcoming China Space Station Telescope (CSST) survey to understand the structure growth and reveal the nature of the dark sector. However, it is a long-term challenge to model this biased tracer and connect the observable to the underlying physics. In this work, we present a hybrid Lagrangian bias expansion emulator, combining the Lagrangian bias expansion and the accurate dynamical evolution from $N$-body simulation, to predict the power spectrum …

This https://arxiv.org/abs/2503.18617 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Scaling Laws for Emulation of Stellar Spectra
Neural network-based emulators for the inference of stellar parameters and elemental abundances represent an increasingly popular methodology in modern spectroscopic surveys. However, these approaches are often constrained by their emulation precision and domain transfer capabilities. Greater generalizability has previously been achieved only with significantly larger model architectures, as demonstrated by Transformer-based models in natural language processing. This observation aligns with ne…

Characterization of latency and jitter in TSN emulation
\'Alex Gracia, Jos\'e Luis Briz, H\'ector Blanco-Alcaine, Juan Segarra, Alitzel G. Torres-Mac\'ias, Antonio Ram\'irez-Trevi\~no
https://arxiv.org/abs/2506.02133

Characterization of latency and jitter in TSN emulation
This research focuses on timestamping methods for profiling network traffic in software-based environments. Accurate timestamping is crucial for evaluating network performance, particularly in Time-Sensitive Networking (TSN). We explore and compare four timestamping techniques within a TSN emulation context, though its findings extend to other network scenarios. The study leverages the Mininet emulator to model TSN networks, defining hosts, bridges, links, and traffic streams. It characterizes …

It is fascinating (maybe not the word everyone would use) to watch, what once was viewed as an init replacement, systemd evolve. Terminal emulation:
https://mastodon.social/@pid_eins/114618473677694301

Meta-emulation: An application to the social cost of carbon
Richard S. J. Tol
https://arxiv.org/abs/2507.01804 https://arxiv.org/pdf/…

Meta-emulation: An application to the social cost of carbon
A large database of published model results is used to estimate the distribution of the social cost of carbon as a function of the underlying assumptions. The literature on the social cost of carbon deviates in its assumptions from the literatures on the impacts of climate change, discounting, and risk aversion. The proposed meta-emulator corrects this. The social cost of carbon is higher than reported in the literature.

sad :3 https://github.com/qilingframework/qiling/issues/253
someone's gotta retry ^^

Rewrite in Rust · Issue #253 · qilingframework/qiling
Python is a poor choice for anything remotely complex, especially that affects the execution times like emulation. Projects like Angr and Miasm met a bottleneck of Python, it's slowness, GIL, memor...

@… Have you seen this yet as a Mac person? https://oldbytes.space/@smallsco/114747196289375530

Towards LLM-based Generation of Human-Readable Proofs in Polynomial Formal Verification
Rolf Drechsler
https://arxiv.org/abs/2505.23311 https://

Towards LLM-based Generation of Human-Readable Proofs in Polynomial Formal Verification
Verification is one of the central tasks in circuit and system design. While simulation and emulation are widely used, complete correctness can only be ensured based on formal proof techniques. But these approaches often have very high run time and memory requirements. Recently, Polynomial Formal Verification (PFV) has been introduced showing that for many instances of practical relevance upper bounds on needed resources can be given. But proofs have to be provided that are human-readable. He…

Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction
Mitchel J. Colebank
https://arxiv.org/abs/2506.04538

Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction
Computational inverse problems for biomedical simulators suffer from limited data and relatively high parameter dimensionality. This often requires sensitivity analysis, where parameters of the model are ranked based on their influence on the specific quantities of interest. This is especially important for simulators used to build medical digital twins, as the amount of data is typically limited. For expensive models, such as blood flow models, emulation is employed to expedite the simulation …

A network of parametrically driven silicon nitride mechanical membranes
Luis Mestre, Suyash Singh, Gabriel Margiani, Letizia Catalini, Alexander Eichler, Vincent Dumont
https://arxiv.org/abs/2506.00850

A network of parametrically driven silicon nitride mechanical membranes
Networks of nonlinear resonators offer a promising platform for analog computing and the emulation of complex systems. However, realizing such networks remains challenging, as it requires resonators with high quality factors, individual frequency tunability, and strong inter-resonator coupling. In this work, we present a system that meets all these criteria. Our system is based on metallized silicon nitride membranes that are coupled via their common substrate and controlled capacitively via el…

Jams with More Song Structure
I continue to do morning jams, still with drum groove, synth, bass, and then guitar. The latest ones, however, have a bit more structure and a more defined melodic content. This one starts with chords from a John Prine song. The guitar is my Squier Starcaster and the synth is a Rhodes emulation from Dexed. I play lots of variations on the melody:

Adaptive finite element type decomposition of Gaussian processes
Jaehoan Kim, Anirban Bhattacharya, Debdeep Pati
https://arxiv.org/abs/2505.24066 https://

Adaptive finite element type decomposition of Gaussian processes
In this paper, we investigate a class of approximate Gaussian processes (GP) obtained by taking a linear combination of compactly supported basis functions with the basis coefficients endowed with a dependent Gaussian prior distribution. This general class includes a popular approach that uses a finite element approximation of the stochastic partial differential equation (SPDE) associated with Matérn GP. We explored another scalable alternative popularly used in the computer emulation literatu…

Replaced article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum
Jacopo Massa, Valerio De Caro, Stefano Forti, Patrizio Dazzi, Davide Bacciu, Antonio Brogi

Small achievement: Managed to configure the Steam controller for #BattleForWesnoth, so now I can play it on the big screen. 🎮 (The tricky part was getting the controller's mouse emulation work under Wayland, but then it's great for mouse keyboard games!) BfW is still one of the greatest games of all time, if you ask me, and it simply never gets old. 🧝‍♂️

Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Tara P. A. Tahseen, Lu\'is F. Sim\~oes, Kai Hou Yip, Nikolaos Nikolaou, Jo\~ao M. Mendon\c{c}a, Ingo P. Waldmann
https://arxiv.org/abs/2506.19679

Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
Increasing resolution and coverage of astrophysical and climate data necessitates increasingly sophisticated models, often pushing the limits of computational feasibility. While emulation methods can reduce calculation costs, the neural architectures typically used--optimised via gradient descent--are themselves computationally expensive to train, particularly in terms of data generation requirements. This paper investigates the utility of the Extreme Learning Machine (ELM) as a lightweight, no…

Posted here the other day about getting a #pinephone, so I guess I should update. As I was half-expecting, it's not usable for me as a main phone (though I should still try LineageOS before giving up completely).
I had the Linux skills to hack through a lot of the problems that came up, but the shaky state of Android emulation meant I'd never be able to run key apps I wanted to, and the battery life is abysmal due to fundamental OS issues (plus probably some hardware stuff).
Still a super interesting platform and I've got ideas for uses besides being my main phone.

CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation
Zhao Chen, Yu Yu
https://arxiv.org/abs/2506.09688 https://

CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation
Accurate theoretical prediction for halo mass function across a broad cosmological space is crucial for the forthcoming China Space Station Telescope (CSST) observations, which will capture cosmological information from multiple probes, e.g., cluster abundance, and weak lensing. In this work, we quantify the percent-level impact of different mass binning schemes when measuring the differential halo mass function from simulations, and demonstrate that the cumulative form of the halo mass functio…

This https://arxiv.org/abs/2503.12177 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Open Wireless Digital Twin: End-to-End 5G Mobility Emulation in O-RAN Framework
This paper presents an end-to-end wireless digital twin platform constructed using open-source software and open data to enhance the evaluation of mobile communication systems. The proposed open wireless digital twin (OWDT) integrates OpenAirInterface (OAI) for 5G NR protocol stack emulation and NVIDIA Sionna RT for high-resolution ray tracing based radio propagation modeling. This integration enables realistic emulation of vehicular mobility scenarios, leveraging real-world geographic and buil…