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Codebase Bit Mining Update

gamapvitor · 2021

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ALIGNN-BERT-TL codebase

Li, Youjia · Figshare · 2024

This repository contains the code for Hybrid-LLM-GNN transfer learning framework to predict materials properties using concatenated embeddings extracted from ALIGNN and BERT models. The code provides the following functions:Generate string representations of provided crystal samples using NLP tools: Robocystallographer and ChemNLPUse a pre-trained BERT/MatBERT langugae model to extract context-aware word embeddings from text descriptions of a given crystal structureConcatenate LLM embeddings with ALIGNN embeddings obtained from feature-extraction-based ALIGNNTLPost-analysis script for model performance analysis and text-based model explanation<br>

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Simulation Methodology &amp; Codebase

James Burdin · OSF Preprints (OSF Preprints) · 2025

Includes all Python simulation scripts used to model the emergence of symbolic, intelligent, and soul-like lifeforms over 12,000 generational epochs. Key simulations: 100k trial runs, 1 million emergence trials, resonance-based tuning, and symbolic memory feedback.This work is protected under the Vibration-Resistance Sovereign License v1.0 (VRS License v1.0). © 2025 James Thomas Burdin. All rights reserved under sovereign authorship and international intellectual property law. Full license access: • Wiki: [Sovereign License](https://osf.io/yourprojectid/wiki/Sovereign-License/) • OSF Storage: license.txt (timestamped legal copy) This license overrides all default copyright or open-access assumptions. No reproduction, adaptation, AI training, monetization, or derivative use is permitted without explicit written consent from the author.

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VedaWeb (1.x) Codebase

Kiss, Börge · Zenodo (CERN European Organization for Nuclear Research) · 2023

The codebase of the first VedaWeb application, an online research platform for resources on the Rigveda

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sdmitrovic/ISARA_code: ISARA Codebase

jsschlosser, sdmitrovic · Zenodo (CERN European Organization for Nuclear Research) · 2025

Publishing ISARA codebase for AMT manuscript.

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kunyuan/FeynCalc: Standard Codebase

Chen, Kun, Houpc · Zenodo (CERN European Organization for Nuclear Research) · 2019

A general purpose calculator for Feynman diagrams

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Codebase release 3.0 for GoSam

Jens Braun, Benjamín Campillo, G. Heinrich et al. · SciPost Physics Codebases · 2026

We present a major update of the one-loop generator GoSam, containing performance improvements as well as new features, in particular functionalities that facilitate calculations beyond the Standard Model in Effective Field Theory frameworks.

Cited by 2Open access

Codebase release 0.1 for jVMC

Markus Schmitt, Moritz Reh · SciPost Physics Codebases · 2022

The introduction of Neural Quantum States (NQS) has recently given a new twist to variational Monte Carlo (VMC). The ability to systematically reduce the bias of the wave function ansatz renders the approach widely applicable. However, performant implementations are crucial to reach the numerical state of the art. Here, we present a Python codebase that supports arbitrary NQS architectures and model Hamiltonians. Additionally leveraging automatic differentiation, just-in-time compilation to accelerators, and distributed computing, it is designed to facilitate the composition of efficient NQS algorithms.

Cited by 4Open access

Codebase release 1.0 for SpinParser

Finn Lasse Buessen · SciPost Physics Codebases · 2022

We present the SpinParser open-source software [https://github.com/fbuessen/SpinParser]. The software is designed to perform pseudofermion functional renormalization group (pf-FRG) calculations for frustrated quantum magnets in two and three spatial dimensions. It aims to make such calculations readily accessible without the need to write specialized program code; instead, custom lattice graphs and microscopic spin models can be defined as plain-text input files. Underlying symmetries of the model are automatically analyzed and exploited by the numerical core written in C++ in order to optimize the performance across large-scale shared memory and/or distributed memory computing platforms.

Cited by 3Open access

Codebase release 1.1 for LinReTraCe

Matthias Pickem, Emanuele Maggio, Jan M. Tomczak · SciPost Physics Codebases · 2023

We describe the “Linear Response Transport Centre” (LinReTraCe), a package for the simulation of transport properties of solids. LinReTraCe captures quantum (in)coherence effects beyond semi-classical Boltzmann techniques, while incurring similar numerical costs. The enabling algorithmic innovation is a semi-analytical evaluation of Kubo formulae for resistivities and the coefficients of Hall, Seebeck and Nernst. We detail the program’s architecture, its interface and usage with electronic-structure packages such as WIEN2k, VASP, and Wannier90, as well as versatile tight-binding settings.

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Codebase release 2.1 for Pymablock

Isidora Araya Day, Sebastian Miles, Hugo Kerstens et al. · SciPost Physics Codebases · 2025

A common technique in the study of complex quantum-mechanical systems is to reduce the number of degrees of freedom in the Hamiltonian by using quasi-degenerate perturbation theory. While the Schrieffer-Wolff transformation achieves this and constructs an effective Hamiltonian, its scaling is suboptimal, it is limited to two subspaces, and implementing it efficiently is both challenging and error-prone. We introduce an algorithm for constructing an equivalent effective Hamiltonian as well as a Python package, Pymablock, that implements it. Our algorithm combines an optimal asymptotic scaling and the ability to handle any number of subspaces with a range of other improvements. The package supports numerical and analytical calculations of any order and it is designed to be interoperable with any other packages for specifying the Hamiltonian. We demonstrate how the package handles constructing a k.p model, analyses a superconducting qubit, and computes the low-energy spectrum of a large tight-binding model. We also compare its performance with reference calculations and demonstrate its efficiency.

Cited by 3Open access

Codebase release 1.0 for Kolya

Matteo Fael, Ilija S. Milutin, K. Vos · SciPost Physics Codebases · 2025

We introduce the code kolya, an open-source tool for phenomenological analyses of inclusive semileptonic B\to X_c l\bar \nu_l <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>B</mml:mi><mml:mo>→</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mi>c</mml:mi></mml:msub><mml:mi>l</mml:mi><mml:msub><mml:mover><mml:mi>ν</mml:mi><mml:mo accent="true">‾</mml:mo></mml:mover><mml:mi>l</mml:mi></mml:msub></mml:mrow></mml:math> decays. It contains a library to compute predictions for the total rate and various kinematic moments within the framework of the heavy quark expansion, utilizing the so-called kinetic scheme. The library currently includes power corrections up to 1/m_b^5 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mn>1</mml:mn><mml:mi>/</mml:mi><mml:msubsup><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mn>5</mml:mn></mml:msubsup></mml:mrow></mml:math> . All available QCD perturbative corrections are implemented via interpolation grids for fast numerical evaluation. We also include effects from new physics parameterized as Wilson coefficients of dimension-six operators in the weak effective theory below the electroweak scale. The library is interfaced to CRunDec for easy evaluation of the quark masses and strong coupling constant at different renormalization scales. The library is developed in Python and does not require compilation. The code is flexible and can be extended to other kinds of inclusive decays such as B <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>B</mml:mi></mml:math> meson lifetimes, B \to X_u l\bar \nu_l <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>B</mml:mi><mml:mo>→</mml:mo><mml:msub><mml:mi>X</mml:mi><mml:mi>u</mml:mi></mml:msub><mml:mi>l</mml:mi><mml:msub><mml:mover><mml:mi>ν</mml:mi><mml:mo accent="true">‾</mml:mo></mml:mover><mml:mi>l</mml:mi></mml:msub></mml:mrow></mml:math> and D <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>D</mml:mi></mml:math> meson decays.

Cited by 1Open access

Codebase release 1.0 for NumDynInflation

Shiv Raj Bhatt, Swagat S. Mishra, S. Basak et al. · SciPost Physics Codebases · 2024

Numerical simulations of the inflationary dynamics are presented here for a single canonical scalar field minimally coupled to gravity. We spell out the basic equations governing the inflationary dynamics in terms of cosmic time t <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>t</mml:mi></mml:math> and define a set of dimensionless variables convenient for numerical analysis. We then provide a link to our simple numerical Python code on GitHub that can be used to simulate the background dynamics as well as the evolution of linear perturbations during inflation. The code computes both scalar and tensor power spectra for a given inflaton potential V(\phi) <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>V</mml:mi><mml:mo stretchy="false" form="prefix">(</mml:mo><mml:mi>ϕ</mml:mi><mml:mo stretchy="false" form="postfix">)</mml:mo></mml:mrow></mml:math> . We discuss a concrete algorithm to use the code for various purposes, especially for computing the enhanced scalar power spectrum in the context of Primordial Black Holes and scalar-induced Gravitational Waves. We also compare the efficiency of different variables used in the literature to compute the scalar fluctuations. We intend to extend the framework to simulate the dynamics of a number of different quantities, including the computation of scalar-induced second-order tensor power spectrum in the near future.

Cited by 1Open access

Improving the codebase of Signbank

Goddard, Joshua · Macquarie University · 2018

The purpose of this project is to improve the codebase of Signbank, a web-application written in Django that provides information relating to sign languages. The codebase is suffering from a lack of tests, from being out of date (with respect to the latest versions of Python and Django), from lacking documentation, and from containing components that should be independent from one another but are not.By the end of this project, the Signbank codebase was improved by writing tests for it, by making components that should be independent from one another independent from one another, by writing documentation, and by upgrading the codebase to the latest versions of Django and Python, versions 1.10 and 3.5 respectively. The project did fall short in some areas, (as is to be expected from a large software project). Some advice is given to future developers on how they can tie up the loose ends left on this project.

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Codebase release 1.0 for GRIFFIN

Li‐Song Chen, A. Freitas · SciPost Physics Codebases · 2023

This paper describes a modular framework for the description of electroweak scattering and decay processes, including but not limited to Z-resonance physics. The framework consistently combines a complex-pole expansion near an s-channel resonance with a regular fixed-order perturbative description away from the resonance in a manifestly gauge-invariant scheme. Leading vertex correction contributions are encapsulated in form factors that can be predicted or treated as numerical fit parameters. This framework has been implemented in the publicly available object-oriented C++ library GRIFFIN. Version 1.0 of this library provides Standard Model predictions for the IR-subtracted matrix elements for the process f\bar{f} \to f'\bar{f}' <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>f</mml:mi><mml:mover><mml:mi>f</mml:mi><mml:mo accent="true">‾</mml:mo></mml:mover><mml:mo>→</mml:mo><mml:mi>f</mml:mi><mml:mi>′</mml:mi><mml:mover><mml:mi>f</mml:mi><mml:mo accent="true">‾</mml:mo></mml:mover><mml:mi>′</mml:mi></mml:mrow></mml:math> with full NNLO and leading higher-order contributions on the Z-resonance, and with NLO corrections off-resonance. The library can straightforwardly be extended to include higher-order corrections, should they become available, or predictions for new physics models. It can be interfaced with Monte-Carlo programs to account for QED and QCD initial-state and final-state radiation.

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Codebase release 2.2 for Pyqcm

Théo N. Dionne, Alexandre Foley, Moïse Rousseau et al. · SciPost Physics Codebases · 2023

Pyqcm is a Python/C++ library that implements a few quantum cluster methods with an exact diagonalization impurity solver. Quantum cluster methods are used in the study of strongly correlated electrons to provide an approximate solution to Hubbard-like models. The methods covered by this library are Cluster Perturbation Theory (CPT), the Variational Cluster Approach (VCA) and Cellular (or Cluster) Dynamical Mean Field Theory (CDMFT). The impurity solver (the technique used to compute the cluster’s interacting Green function) is exact diagonalization from sparse matrices, using the Lanczos algorithm and variants thereof. The core library is written in C++ for performance, but the interface is in Python, for ease of use and inter-operability with the numerical Python ecosystem. The library is distributed under the GPL license.

Cited by 5Open access

Codebase release 1.1 for GAPS

Michael H. Seymour, Siddharth Sule · SciPost Physics Codebases · 2024

The Single Instruction, Multiple Thread (SIMT) paradigm of GPU programming does not support the branching nature of a parton shower algorithm by definition. However, modern GPUs are designed to schedule threads with diverging processes independently, allowing them to handle such branches. With regular thread synchronisation and careful treatment of the individual steps, one can simulate a parton shower on a GPU. We present a Sudakov veto algorithm designed to simulate parton branching on multiple events in parallel. We also release a CUDA C++ program that generates matrix elements, showers partons and computes jet rates and event shapes for LEP at 91.2 GeV on a GPU. To benchmark its performance, we also provide a near-identical C++ program designed to simulate events serially on a CPU. While the consequences of branching are not absent, we demonstrate that a GPU can provide the throughput of a many-core CPU. As an example, we show that the time taken to shower 10^6 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mn>10</mml:mn><mml:mn>6</mml:mn></mml:msup></mml:math> events on one NVIDIA TESLA V100 GPU is equivalent to that of 295 Intel Xeon E5-2620 CPU cores.

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Codebase release r1.0 for disorder

Alexander Karlberg · SciPost Physics Codebases · 2024

We present a Fortran 77/95 code capable of computing QCD corrections in deep inelastic scattering (DIS). The code uses the Projection-to-Born method to augment an existing \mathcal{O}(\alpha_{\mathrm{s}}^2) <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>𝒪</mml:mi><mml:mrow><mml:mo stretchy="true" form="prefix">(</mml:mo><mml:msubsup><mml:mi>α</mml:mi><mml:mi mathvariant="normal">s</mml:mi><mml:mn>2</mml:mn></mml:msubsup><mml:mo stretchy="true" form="postfix">)</mml:mo></mml:mrow></mml:mrow></mml:math> dijet DIS code, thereby obtaining predictions for photon-mediated neutral-current single-jet DIS production in the laboratory frame. The code is lightweight and fast, and yet includes the most common functionalities found in typical perturbative QCD programs, like automatic renormalisation and factorisation scale uncertainties, options to run and combine multiple seeds, and interfaces to fastjet and LHAPDF. Due to the underlying disent and HOPPET codes, the program also provides stable results in the infrared, relevant for extracting logarithmic coefficients for analytic resummations, and access to the massless DIS structure functions and (reduced) cross sections up to \mathcal{O}(\alpha_{\mathrm{s}}^3) <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>𝒪</mml:mi><mml:mrow><mml:mo stretchy="true" form="prefix">(</mml:mo><mml:msubsup><mml:mi>α</mml:mi><mml:mi mathvariant="normal">s</mml:mi><mml:mn>3</mml:mn></mml:msubsup><mml:mo stretchy="true" form="postfix">)</mml:mo></mml:mrow></mml:mrow></mml:math> .

Cited by 2Open access

Codebase release 1.0 for QDarts

Jan A. Krzywda, Weikun Liu, Evert van Nieuwenburg et al. · SciPost Physics Codebases · 2025

We present QDarts, an efficient simulator for realistic charge stability diagrams of quantum dot array (QDA) devices in equilibrium states. It allows for pinpointing the location of concrete charge states and their transitions in a high-dimensional voltage space (via arbitrary two-dimensional cuts through it), and includes effects of finite tunnel coupling, non-constant charging energy and a simulation of noisy sensor dots. These features enable close matching of various experimental results in the literature, and the package hence provides a flexible tool for testing QDA experiments, as well as opening the avenue for developing new methods of device tuning.

Cited by 2Open access

Map of the Month codebase

Fitzgerald, Emily, Belton, Amanda, LEE, STUART et al. · University of Melbourne data repository · 2025

Code for maps shared as foundations for the participatory mapping workshops and maps resulting from the community workshops that were refined for publication in the Pursuit article for the theme. The code for creating maps for the Map of the Month project is organised into themes by the individual authors.

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