Emily's Random Code https://galactic.algebrist.com/ 2026-04-28T12:15:28+00:00 https://galactic.algebrist.com/ https://galactic.algebrist.com/lib/exe/fetch.php?media=wiki:dokuwiki.svg text/html 2024-02-19T23:57:51+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=abundance_map_interpolation_for_astronomical_data_analysis&rev=1708387071&do=diff Abundance Map Interpolation for Astronomical Data Analysis This Python script is designed for astronomers and astrophysicists working with stellar abundance data. It involves reading an abundance map, interpolating data across a specified grid dimension, and outputting statistics regarding element mass fractions and changes in target values versus new calculations. The script leverages NumPy for numerical operations, SciPy for interpolation, argparse for command-line argument parsing, and pickl… text/html 2024-05-15T15:32:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=actionspacedensity.ipynb&rev=1715787156&do=diff Analyzing Space Density and Cluster Membership in Astrophysical Data ActionSpaceDensity.ipynb This Jupyter notebook contains a comprehensive workflow for analyzing space density and determining cluster membership in astrophysical data, primarily focusing on the properties and movements within galaxies. The notebook starts by importing necessary libraries for data manipulation, statistical analysis, and visualization, including pandas, matplotlib, scipy, and scikit-image. It then defines severa… text/html 2024-02-19T23:37:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=analyzing_synthetic_populations_and_fiducials_in_astronomy&rev=1708385844&do=diff Analyzing Synthetic Populations and Fiducials in Astronomy This Python script is designed to analyze synthetic stellar populations and their fiducial lines in the context of astronomy. It involves generating synthetic populations based on specific parameters, such as metallicity, age, and binary fraction, and then measuring the goodness-of-fit between observed and synthetic fiducial lines using a Chi-squared method. The script imports modules for data manipulation (pandas), mathematical operati… text/html 2024-02-23T15:57:02+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=ascii_analysis.ipynb&rev=1708703822&do=diff ASCII_Analysis.ipynb This Jupyter notebook, titled 'ASCII_Analysis.ipynb', is a comprehensive analysis tool designed for the exploration and statistical study of ASCII data related to dance movements and the associated emotional states. The script includes functionalities for data preprocessing, visualization, and the extraction of meaningful statistics from time-series data. Through various statistical and signal processing techniques such as Lomb-Scargle periodograms and Gaussian fitting, it … text/html 2024-02-19T23:59:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=ascii_art_generator_script&rev=1708387147&do=diff ASCII Art Generator Script This script reads numerical ASCII values from a text file, converts them into characters, and applies formatting to visualize them as colored ASCII art. It supports custom line breaks and highlights specific ASCII characters with unique background colors. text/html 2024-02-19T23:38:25+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_data_analysis_with_advanced_clustering_and_fiducial_points_identification&rev=1708385905&do=diff Astronomical Data Analysis with Advanced Clustering and Fiducial Points Identification This Python script is designed for the analysis of astronomical data, focusing on the identification of fiducial points across main sequences and sub-giant branches in stellar populations. It employs various scientific libraries to process and analyze color-magnitude data of stars, using methods such as hierarchical clustering (HDBSCAN), KMeans clustering, curve fitting, and smoothing techniques (Savitzky-Gol… text/html 2024-02-23T15:05:52+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_data_comparison_script&rev=1708700752&do=diff Astronomical Data Comparison Script This Python script is designed for comparing astronomical target lists retrieved from the SIMBAD database. It uses the astroquery package to fetch identifiers for celestial objects from two different datasets, compares these datasets to find shared targets, and outputs the common identifiers. It involves data manipulation and analysis with pandas and numpy, demonstrating the process of concatenation, alias retrieval, and intersection identification among astr… text/html 2024-02-19T23:38:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_data_processing_for_hugs_project&rev=1708385891&do=diff Astronomical Data Processing for HUGS Project This Python code is designed for processing and analyzing astronomical data, particularly focusing on the Hubble Space Telescope's UV Legacy Survey of Galactic Globular Clusters (HUGS) project. It includes functions for reading the survey data, cleaning it based on specific criteria, and performing various analysis tasks such as generating color-magnitude diagrams (CMDs), extracting specific stellar sequences, and identifying stellar populations usi… text/html 2024-02-19T23:36:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_isochrone_fitting&rev=1708385819&do=diff Astronomical Isochrone Fitting This Python code is designed for fitting isochrones to Color-Magnitude Diagrams (CMDs) of star clusters using photometric data. It involves loading and manipulating photometric data and isochrone models, fitting these models to observational data to estimate stellar population characteristics such as age and distance, and plotting the results for visualization. The script employs libraries such as numpy for numerical operations, matplotlib for plotting, scipy for … text/html 2024-02-19T23:38:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_isochrone_fitting_and_visualization_script&rev=1708385914&do=diff Astronomical Isochrone Fitting and Visualization Script This Python script is used for fitting and visualizing isochrone models in astrophysical research. It loads fitting results from a pickle file, performs isochrone age interpolation, applies bolometric corrections, and generates scatter plots comparing observed photometric data with theoretical isochrone models for different filters. The script also handles directory creation for saving the generated figures. text/html 2024-02-19T23:37:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_isochrone_fitting_script&rev=1708385857&do=diff Astronomical Isochrone Fitting Script This Python script is designed for fitting theoretical isochrones to observed Color-Magnitude Diagrams (CMDs) from astronomical photometry data. It includes functionalities for loading stellar photometry, adjusting isochrones based on extinction and distance, calculating chi-squared statistics for the fit, and optimizing the fit parameters like age, distance, and extinction using scipy minimize function. The script supports command line arguments for specif… text/html 2024-02-19T23:34:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astronomical_model_comparison_scripts&rev=1708385650&do=diff Astronomical Model Comparison Scripts This collection of Python functions is designed for comparing different astronomical models by generating comparison charts. It focuses on evolutionary tracks, solar calibration, luminosity-radius tracks, and opacity comparisons of stellar models, using matplotlib for visualization and tqdm for progress indication. text/html 2024-02-19T23:32:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_bolometric_corrections_computational_tool&rev=1708385541&do=diff Astrophysical Bolometric Corrections Computational Tool This Python script defines classes for calculating astrophysical bolometric corrections. Bolometric corrections are essential for converting observed magnitudes into absolute luminosities. The script reads from data files containing effective temperature (Teff), surface gravity (logg), and bolometric corrections for various filters, allowing for the interpolation of magnitudes for given stellar parameters. It supports handling different at… text/html 2024-02-20T00:00:04+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_data_handling_scripts&rev=1708387204&do=diff Astrophysical Data Handling Scripts These scripts are designed for loading, parsing, and processing astrophysical data from .trk and .iso files commonly used in stellar evolution and modeling software. They include functionality for reading specific file structures, extracting metadata, and organizing the data into Python's pandas DataFrames for further analysis. Additionally, the script supports command-line arguments for specifying file paths and output options, making it a handy tool for res… text/html 2024-02-19T23:59:45+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_data_loading_script&rev=1708387185&do=diff Astrophysical Data Loading Script This script is designed to load and parse astrophysical data from .trk (track) and .iso (isochrone) files, commonly used in stellar model simulations. The script reads the specified files to extract metadata and data tables, providing an option to save the loaded data as a pickle file. It leverages libraries such as pandas for data manipulation, re for regular expression operations, and argparse for command-line argument parsing. Additionally, the script sorts … text/html 2024-02-20T00:00:16+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_data_processing_for_stellar_models&rev=1708387216&do=diff Astrophysical Data Processing for Stellar Models This script is designed for loading and processing astrophysical data files, specifically for stellar models, in '.trk' (track files) and '.iso' (isochrone files) formats. It includes functionalities for parsing these files, extracting metadata, handling data via Pandas DataFrames, and saving processed data objects into a pickled format for later use. The program supports command-line arguments for specifying the input file and an optional output… text/html 2024-02-19T23:40:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_isochrone_handling_script&rev=1708386005&do=diff Astrophysical Isochrone Handling Script This Python script is designed for importing and processing astrophysical isochrone data, which represents different stages of stellar evolution in a star cluster. It combines functionalities from various modules ('fidanka.isochrone.MIST', 'ThomasAstro.iso.isoGenerator', and 'pysep.io.trk') for reading both isochrone and track files. Primarily, it allows for parsing such data files (as specified by the user through the command line) for further astrophysi… text/html 2024-02-19T23:37:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_isochrone_shifting_and_interpolation&rev=1708385876&do=diff Astrophysical Isochrone Shifting and Interpolation This Python script is designed for astrophysical analysis, specifically for adjusting isochrones based on distance and extinction, loading stellar population models with varying characteristics (such as population type, helium content, and alpha enrichment) from pickle files, and interpolating these models by magnitude or age. It uses libraries such as numpy for numerical operations, scipy for interpolation, and tqdm for progress bars during da… text/html 2024-02-20T00:01:12+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_model_analysis_script&rev=1708387272&do=diff Astrophysical Model Analysis Script The content is a Python script designed for analyzing astrophysical models, specifically by iterating through files with a '.dsep' extension within a directory structure, extracting specific parameters such as effective temperature (Teff) and luminosity (L) from both preliminary (prems) and main sequence evolutionary point (iso) models of stars based on their mass. Additionally, the script generates a visual comparison of these parameters between the prelimin… text/html 2024-02-19T23:32:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_model_visualization_script&rev=1708385529&do=diff Astrophysical Model Visualization Script This Python script is designed for visualizing astrophysical models, specifically generating Kippenhan-Iben diagrams for stellar structures. It involves reading binary model outputs and track files, applying a sophisticated plotting setup using Matplotlib, and optionally identifying non-empty text/html 2024-02-19T23:59:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysical_opacity_table_fetching_and_formatting_tool&rev=1708387172&do=diff Astrophysical Opacity Table Fetching and Formatting Tool This script is designed to automate the process of fetching, processing, and formatting opacity tables from the TOPS database for use in astrophysical simulations. It includes functionality to call external programs for calculating number and mass fractions of elements based on input metallicity, to parse and validate these fractions, to fetch opacity tables from a web resource, and to format the retrieved data into a structure compatible… text/html 2024-02-19T23:37:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysics_isochrone_shifting_and_color-magnitude_data_handling&rev=1708385867&do=diff Astrophysics Isochrone Shifting and Color-Magnitude Data Handling This Python script is designed for astrophysical research, particularly in the field of stellar cluster analysis. It includes functions to shift isochrones based on astronomical distances and extinction values, load and parse color-magnitude diagrams (CMDs) from pickle files located within a hierarchical directory structure, and interpolate CMD data to find corresponding colors for given magnitudes. The script employs libraries s… text/html 2024-02-19T23:33:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=astrophysics_population_synthesis_script_overview&rev=1708385624&do=diff Astrophysics Population Synthesis Script Overview This Python script is designed for astrophysical research purposes, specifically for generating synthetic populations of stars based on a range of input parameters such as age, binarity, metallicity (Fe/H), helium mass fraction (Y), and metal mass fraction (Z). It utilizes multiprocessing for efficient data handling and outputs generated populations as .out files, suitable for analysis with convolutional neural networks (CNNs) or other machine l… text/html 2024-02-19T23:39:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=automated_isolation_generation_from_astrophysical_database_files&rev=1708385981&do=diff Automated Isolation Generation from Astrophysical Database Files This Python script automatizes the process of generating isolation files from astrophysical database (.dbs) files related to stellar populations. It searches through a specified output directory for folders matching patterns indicative of stellar population data. For each found dataset, it verifies the existence of corresponding companion data (.dat) files within an input directory. The script then opens the database file in read … text/html 2024-02-19T23:59:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=automated_stellar_evolution_model_calibration_script&rev=1708387158&do=diff Automated Stellar Evolution Model Calibration Script This script automatically calibrates stellar evolution models to the Sun using the Dartmouth Stellar Evolution Program (DSEP). It includes functionality for setting up the environment, running simulations with different initial conditions, and analyzing the results to find the best-fit model. It leverages libraries such as numpy, pandas, and scipy for numerical operations, and f90nml for Fortran namelist file manipulation. text/html 2024-02-19T23:56:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=automating_pre-main_sequence_model_generation&rev=1708386979&do=diff Automating Pre-Main Sequence Model Generation This Python script is designed to automate the generation of pre-main sequence models based on a specified chemical composition. By accepting a path to the chemical composition file, a range of masses (min, max, step), and an output path for saving the generated models, it simplifies the process of creating these models for astrophysical research. The use of the argparse library allows for easy customization and execution of the process through the … text/html 2024-02-19T23:40:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=automating_solar_model_calibration_with_pysep&rev=1708386019&do=diff Automating Solar Model Calibration with PySEP This Python script is dedicated to automating the calibration of solar models using data from various sources, including atmospheric data, opacity files, and composition data. The script utilizes the PySEP library to calibrate stellar models based on input parameters and output the calibrated models into a specified directory. It includes functionality for handling command-line arguments, reading input files, adjusting model parameters, and performi… text/html 2024-02-19T23:33:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=basic_stellar_modeling_process_with_pysep&rev=1708385634&do=diff Basic Stellar Modeling Process with PySEP This code snippet demonstrates the process of creating a basic stellar model using the PySEP (Python Stellar Evolution Package) library. It includes loading high temperature opacity files, generating a model output directory, and evolving the model over time. The snippet also shows how to sort and utilize additional opacity files from a specified directory, adjusting the model's control parameters for the simulation. text/html 2024-02-23T18:09:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=bestfitresultanalysis.ipynb&rev=1708711764&do=diff Analysis of Best Fit Results in Astronomical Data BestFitResultAnalysis.ipynb This Jupyter notebook titled 'BestFitResultAnalysis.ipynb' is designed for analyzing and visualizing the best fit results obtained from astronomical photometric data. It involves loading photometry data and fit results, performing corrections and interpolations on isochrones, evaluating conditions for best fits, and plotting the corrected isochrones against the photometry data to identify best fitting models of stell… text/html 2024-02-19T20:43:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=bolometricallycorrectevolutionarytracks&rev=1708375394&do=diff Bolometrically Correct DSEP Evolutionary Tracks This script provides utility to scan a directory, build a queryable in memory datastore for that directory, then bolometrically correct those tracks ---------- from pysep.dsep import load_model fro… text/html 2024-02-19T23:36:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=bolometric_correction_in_astronomical_data_processing&rev=1708385788&do=diff Bolometric Correction in Astronomical Data Processing This script is used for applying bolometric corrections to astronomical isochrones. It loads isochrone data, applies bolometric corrections using pre-calculated tables, and saves the corrected data. The script handles file reading, manipulation based on metallicity, and data interpolation. It is primarily designed for astronomers and astrophysicists dealing with stellar evolutionary models and their observable properties. text/html 2024-02-23T15:58:51+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=c3d_analysis.ipynb&rev=1708703931&do=diff Analyzing C3D Files with Python C3D_Analysis.ipynb This notebook illustrates the process of opening and analyzing motion capture data stored in C3D file format using the Python c3d library. It demonstrates how to read frames from a C3D file and print the point coordinates for each frame, offering a hands-on example for researchers or developers working with biomechanical motion data. text/html 2024-02-19T23:36:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=calibration_results_processing_script&rev=1708385780&do=diff Calibration Results Processing Script This script is designed to process and sort calibration results stored in .pkl files within the current directory. It identifies files ending with '.pkl', sorts them based on specific criteria extracted from their filenames, and then loads and evaluates the calibration results from each file using the pickle module. It prints the optimized alphaML parameter if the calibration was successful or indicates failure otherwise. text/html 2024-02-19T23:11:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=carpy_installation_script&rev=1708384290&do=diff CarPy Installation Script This file is a shell script designed for downloading and installing CarPy, a specialized software package for astronomical data analysis, on Unix-based systems. It includes checks for internet connection, existing installations, necessary tools (like wget or curl), and potential environment conflicts (such as with scisoft or Ureka). It also handles the retrieval and installation of the appropriate CarPy version based on the system's architecture, additional required pa… text/html 2024-02-19T23:57:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=chemical_abundance_file_parser&rev=1708387060&do=diff Chemical Abundance File Parser This Python script is designed to parse chemical abundance files, specifically those detailing the abundance ratios and relative abundances of different elements within a sample. The script intakes a file detailing these chemical abundances, parses the data into a structured dictionary format, and then calculates mass fractions based on the given chemical abundance values. This tool is particularly useful in the fields of chemistry and astrophysics for analyzing t… text/html 2024-02-23T17:37:58+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=chi2plotting.ipynb&rev=1708709878&do=diff Chi-Square Plotting for Astrophysical Data Analysis Chi2Plotting.ipynb The file contains Python code for plotting and analyzing astrophysical data, particularly focused on fitting stellar population models using chi-square minimization techniques. It performs various data manipulations, optimizes model parameters to best fit observational data, and visualizes the comparison between different stellar populations. Key operations include interpolating isochrone ages, shifting isochrone data based… text/html 2024-02-19T23:57:04+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=convert_astronomical_simulation_data_to_csv_and_histogram_data&rev=1708387024&do=diff Convert Astronomical Simulation Data to CSV and Histogram Data This Python script is designed for converting raw astronomical simulation data from a proprietary format into a CSV file format for easier data analysis and visual representation. The script detects the presence of neutrino data, adjusts the data reading process accordingly, and translates complex simulation outputs into structured data tables. Additionally, it contains functionality for extracting specific data points from the CSV … text/html 2024-02-19T23:55:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=convert_greg_s_table_to_dsep_format_script&rev=1708386915&do=diff Convert Greg's Table to DSEP Format Script This is a Python script designed to convert surface boundary condition tables, such as those provided by Greg, into a format that is compatible with the Dartmouth Stellar Evolution Program (DSEP). It includes functionality to read the initial table file, remove comments, manipulate the data into the required DSEP format, and write the new table to a file. The script supports command-line arguments for specifying the input and output files, making it fl… text/html 2024-02-23T16:12:01+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=datadownload.ipynb&rev=1708704721&do=diff Automated Dance Data Download Script DataDownload.ipynb This Jupyter notebook script automates the process of downloading C3D (3D motion capture data) files of dancers expressing various emotions. It iterates through combinations of dancer names and emotions, constructing specific URLs to request and save each file locally. The script handles errors gracefully and logs unsuccessful download attempts, with a manual adjustment noted for a uniquely named file. text/html 2024-02-20T00:00:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=data_loading_and_extraction_utility_for_stellar_evolution_files&rev=1708387234&do=diff Data Loading and Extraction Utility for Stellar Evolution Files A Python utility script designed to read, parse, and extract metadata and data from stellar evolution files, specifically DSEP (Dartmouth Stellar Evolution Database) formatted '.trk' and '.iso' files. It allows for the extraction of detailed stellar properties and their evolution over time from simulation output files, with functionality to save this extracted data into a structured Python dictionary and optionally serialize it int… text/html 2024-02-19T23:55:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=data_loading_and_processing_for_stellar_evolution_models&rev=1708386948&do=diff Data Loading and Processing for Stellar Evolution Models This script is designed for loading and processing data from dsep3 track (trk) and isochrone (iso) files related to stellar evolution models. It includes functionalities for parsing metadata and data from these files, handling file paths and user arguments for operational flexibility, and optionally saving processed data as pickles. The script combines various Python libraries, such as pandas and argparse, to manipulate and organize data … text/html 2024-02-19T23:32:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=deep_learning_model_training_script_for_kmnist_dataset&rev=1708385576&do=diff Deep Learning Model Training Script for KMNIST Dataset This Python script is designed to train a convolutional neural network (CNN) on the KMNIST dataset. It includes loading and splitting the dataset, defining the model architecture in a separate class, setting up the training loop with loss function and optimizer, and plotting the training/validation loss and accuracy over epochs. The script allows for command line arguments to specify paths for training data, model saving, and loss plot savi… text/html 2026-04-02T18:23:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=diffusion.py&rev=1775154211&do=diff FiPy 1D Diffusion Solver for Stellar Species Abundances diffusion.py A Python script using the FiPy finite-volume PDE solver to model one-dimensional diffusion of chemical species on a mass grid. It defines a 1D mesh, initializes abundances for H1 and He4, computes a diffusion coefficient, and solves a diffusion equation with operator splitting, while optionally visualizing the evolving abundances via matplotlib animation. Includes a dummy diffusion function and notes about mass conservation a… text/html 2024-02-19T23:35:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=directory_structure_creation_script_for_stellar_evolution_data&rev=1708385746&do=diff Directory Structure Creation Script for Stellar Evolution Data This Python script dynamically organizes stellar evolution track data (.hist files) and relevant abundance files into a structured directory layout based on population, metallicity, and file content. It categorizes files into population and metallicity specific folders, and prepares input files for further analysis by parsing template files and incorporating specific abundance ratios. The script is intended to streamline the prepara… text/html 2024-02-19T23:10:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=dokuupload_cli_tool&rev=1708384228&do=diff DokuUpload CLI Tool This Python script serves as a command-line interface (CLI) tool designed for uploading files to a DokuWiki server. It allows users to test their login credentials and upload files, providing an option for automated file processing and descriptions generation using an AI. It is useful for users looking to integrate DokuWiki uploads into their workflow or automate documentation procedures. text/html 2024-02-19T23:53:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=dsep_automated_testing_suite_documentation&rev=1708386830&do=diff DSEP Automated Testing Suite Documentation This content outlines the DSEP Automated Testing Suite, a script designed for automatically generating and comparing solar, RGB, highmass, and lowmass models using the DSEP executable. The suite tests if the generated model results are within an acceptable tolerance level compared to stored standard results. It includes details on the prerequisites (like pysep installation), functions provided for setting up the environment, running model simulations, … text/html 2024-02-19T23:56:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=dsep_portable_execution_script&rev=1708386970&do=diff DSEP Portable Execution Script This Python script is designed to facilitate the portable execution of DSEP (Dartmouth Stellar Evolution Program) models by automatically updating paths for data tables and executables based on the user's environment. It includes functionalities for setting up the environment, configuring and linking required files, and running the DSEP executable with options for calibration, debugging, and output management. text/html 2024-02-19T23:33:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_code_for_creating_histogram_plots_in_python_using_pytorch_and_matplotlib&rev=1708385598&do=diff Example Code for Creating Histogram Plots in Python using PyTorch and Matplotlib This Python script is a combination of data loading, model training preparation, and visualization steps for a machine learning project. It involves loading a dataset (HessDataset), potentially for a classification task with PyTorch's DataLoader, and then visualizing histogram data using matplotlib. The script showcases loading custom dataset, iterating over data batches, and saving plots as PDF files. It uses libr… text/html 2024-02-19T23:59:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_of_fast_track_file_reading_in_python_using_pysep&rev=1708387140&do=diff Example of Fast Track File Reading in Python Using PySEP This code snippet demonstrates a method for quickly reading .track files using the PySEP library's 'libdsepio_read' function. It measures the average execution time for reading a track file 50 times, showcasing the efficiency of reading .track files in Python. The script utilizes numpy for calculating the mean of recorded times and datetime for timing each file read operation. text/html 2024-02-19T23:54:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_of_python_script_for_generating_premixed_stellar_models_with_namelist_input&rev=1708386869&do=diff Example of Python Script for Generating Premixed Stellar Models with Namelist Input This Python script demonstrates a process for generating premixed stellar models by reading parameters from a namelist (.nml) file, using the pysep and f90nml libraries. It reads a set of parameters such as stellar mass, composition, and other critical variables from a 'poly.nml' file and then utilizes these parameters to generate a stellar model through a function 'generate text/html 2024-02-19T23:32:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_of_pytorch_custom_neural_network_class&rev=1708385550&do=diff Example of PyTorch Custom Neural Network Class This file defines a custom neural network class using PyTorch's framework, including convolutional, max pooling, ReLU activation, and linear layers for deep learning purposes. This network could be used for tasks like image classification or feature extraction where the input is structured as a multi-dimensional tensor. text/html 2024-02-19T23:35:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_of_stellar_model_evolution_using_pysep&rev=1708385709&do=diff Example of Stellar Model Evolution Using PySEP This Python script demonstrates the usage of the PySEP library for generating and evolving a low mass stellar model. It involves importing necessary modules for starting the model, setting up control and physics defaults, and specifying parameters for a low mass star model. The script then evolves the model, controlling output and the number of models in the evolution sequence, and finally stashes the results without data output. This serves as an … text/html 2024-02-19T23:34:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=example_of_stellar_model_opacity_configuration_in_pysep&rev=1708385643&do=diff Example of Stellar Model Opacity Configuration in PySEP This Python script showcases a process to configure and run parallel stellar models leveraging opacity files in the PySEP library. It includes preparing the environment by organizing opacity files from different sources ('Ferg' and 'Aeso'), establishing model configurations, and finally executing these models in parallel. The script also highlights the use of conditional directory creation for outputs and updating model parameters with spe… text/html 2024-02-23T18:08:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=fastdtw.ipynb&rev=1708711739&do=diff Analyzing Astronomical Data with FastDTW fastDTW.ipynb This Jupyter Notebook demonstrates the application of the Fast Dynamic Time Warping (FastDTW) algorithm to reconcile and compare astronomical data, specifically focusing on magnitude and color shifts between fiducial lines and isochrones. It includes data loading, preprocessing, and shifting color and magnitude values to find minimal differences, utilizing libraries such as matplotlib for plotting and scipy for calculations. The notebook p… text/html 2024-05-15T15:32:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=fetchlinks.ipynb&rev=1715787125&do=diff Fetching and Downloading .tar.gz Files in Python fetchLinks.ipynb This Python Notebook ('fetchLinks.ipynb') outlines a process for fetching URLs from a specified website, filtering them to find specific .tar.gz archive links, downloading these archives, and then listing downloaded directories matching a certain pattern. It uses libraries such as BeautifulSoup for parsing text/html 2024-02-23T17:39:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=fiducial.py&rev=1708709951&do=diff Analyzing Fiducial Points in Stellar Photometry fiducial.py The file 'fiducial.py' contains a Python script designed for the analysis and manipulation of stellar photometric data, focusing on the identification and extraction of fiducial points across various stages of stellar evolution (main sequence, sub-giant, and red giant branches). It employs a combination of statistical and machine learning techniques, including clustering, curve fitting, and smoothing operations to process and distingu… text/html 2024-02-20T00:02:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=file_organization_and_data_parsing_for_stellar_population_analysis&rev=1708387352&do=diff File Organization and Data Parsing for Stellar Population Analysis This Python script organizes astrophysical simulation data (historical tracking files) into structured directories based on their population and metallicity properties. It utilizes regular expressions to sort the input files and create appropriate directory structures, where it then copies and renames the files according to a standardized naming convention. Additionally, the script parses abundance files to extract chemical comp… text/html 2024-02-23T17:39:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=fit.py&rev=1708709969&do=diff Isochrone Fitting in Stellar Photometry fit.py This Python script is designed for fitting isochrones to Color-Magnitude Diagrams (CMDs) obtained from stellar photometry. It involves loading photometric data, isochrones, and fiducial sequences; performing optimizations to match these isochrones with observed stellar populations in CMDs based on chi-squared minimization; and handling the inputs/outputs for this process. It uses libraries such as NumPy for numerical operations, Matplotlib for plo… text/html 2024-02-19T23:58:06+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=generate_opacity_tables_for_dsep_using_tops&rev=1708387086&do=diff Generate Opacity Tables for DSEP Using TOPS This Python script automates the process of generating opacity tables compatible with the Dartmouth Stellar Evolution Program (DSEP) using the TOPS (The Opacity Project System) code. It queries the Los Alamos National Laboratory's website for atomic opacities, processes the data, and formats it for DSEP's usage. Essential functions include parsing abundance patterns, submitting forms to the Los Alamos website to fetch opacity data, and transforming th… text/html 2024-02-19T21:48:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=generating_and_visualizing_multi-cluster_data_with_gaussian_kde&rev=1708379280&do=diff Generating and Visualizing Multi-cluster Data with Gaussian KDE This Python script generates synthetic data points for a specified number of clusters and visualizes them using Gaussian Kernel Density Estimation (KDE) with Matplotlib. It creates an illustrative graph showing the density of the generated data points across different clusters, helping in understanding the distribution and relationship between the data points visually. text/html 2024-02-19T23:37:10+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=generating_fiducial_lines_for_stellar_photometry_data&rev=1708385830&do=diff Generating Fiducial Lines for Stellar Photometry Data This Python script automates the process of generating fiducial lines for stellar photometry data gathered from the Hubble Space Telescope's HUGS survey data of NGC2808. It loads photometry data from a pickle file, computes fiducial lines using specific filters and their RMS values with options for Monte Carlo runs, caching, and verbosity adjustments, and finally saves the computed fiducial lines back into another pickle file for future anal… text/html 2024-02-19T23:57:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=generating_opacity_tables_from_abundance_patterns&rev=1708387039&do=diff Generating Opacity Tables from Abundance Patterns This script automates the process of generating opacity tables from specified abundance patterns. It queries the Los Alamos database to get ATOMIC opacities generated with the TOPS code based on the given abundance pattern. The script parses and formats the resulting data into tables that are compatible with the Dartmouth Stellar Evolution Program (DSEP). It involves various operations such as fetching data from the web, parsing files, and compl… text/html 2024-02-20T00:01:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=generating_pre-main_sequence_models_script&rev=1708387298&do=diff Generating Pre-Main Sequence Models Script This script is designed to generate pre-main sequence models for a given range of stellar masses and chemical composition. It uses the Python libraries numpy for numeric operations, such as generating a range of masses, and argparse for parsing command line arguments. The user provides a path to a chemical composition file, a range of masses (low, high, and step), and optionally, an output directory and a composition name to use in the models. The scri… text/html 2024-02-19T23:33:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=hessdataset_class_for_age_estimation_in_astronomy&rev=1708385585&do=diff HessDataset Class for Age Estimation in Astronomy This Python script defines a custom PyTorch Dataset named HessDataset, utilized for creating datasets from histograms of stellar populations in astronomy. It preprocesses the data for neural network training, aiming at estimating stellar ages. The script includes functionality for loading and normalizing the data, adding markers to the input histograms, and providing an interface for iterating over the dataset. text/html 2024-02-19T23:54:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=interfacing_python_with_c_libraries_for_scientific_computing&rev=1708386840&do=diff Interfacing Python with C Libraries for Scientific Computing This content illustrates how Python can be used in conjunction with C libraries to perform complex scientific computations. It shows the process of defining a C structure in Python using the ctypes library, initializing it with specific parameters, and then passing it to a C library function for computation. The example also demonstrates handling of C arrays and structures from Python, emphasizing interoperability between Python and C… text/html 2024-05-20T19:52:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=investigatemesabrowndwarfmodel.ipynb&rev=1716234760&do=diff Analyzing Brown Dwarf Models with MESA Data in Python InvestigateMESABrownDwarfModel.ipynb This file appears to be a Jupyter notebook (.ipynb) focused on analyzing brown dwarf models using data processed through the Modules for Experiments in Stellar Astrophysics (MESA). It includes Python code to import necessary libraries (matplotlib for plotting, numpy for numerical calculations, mesa_reader for reading MESA data, pandas for data manipulation), define a function to parse MESA model files, l… text/html 2024-02-23T17:08:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=invetigatingdiscoiniso.ipynb&rev=1708708091&do=diff Investigating Stellar Isochrones in Astrophysics InvetigatingDiscoInIso.ipynb This Jupyter notebook file appears to focus on astrophysics, specifically in plotting and analyzing stellar isochrones by temperature and gravity, utilizing various libraries such as matplotlib, numpy, pandas, and specific astrophysical packages like fidanka and pysep. It involves reading isochrone data, interpolating these data for specific ages, and visualizing the data in plots. Additionally, it demonstrates loadi… text/html 2024-02-23T17:39:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=isochrones.py&rev=1708709978&do=diff Isochrone Shift and Interpolation in Astronomy isochrones.py This python file, named 'isochrones.py', is dedicated to manipulating and interpolating astronomical isochrones. It includes functions for shifting isochrones based on distance and extinction, loading stellar evolutionary tracks or isochrones from Color-Magnitude Diagram (CMD) pickle files found within a specified directory, and interpolating these isochrones for given stellar ages. The file applies computational physics and astrophy… text/html 2024-02-19T23:36:04+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=isochrone_color-magnitude_diagram_cmd_generator_script&rev=1708385764&do=diff Isochrone Color-Magnitude Diagram (CMD) Generator Script This script is designed to process isochrone data files, specifically those named 'isochrones.txt' located within a directory structure. It utilizes a custom class, CMDv2, from the ThomasAstro.iso.CMDGenerator module to generate color-magnitude diagrams (CMD) based on the isochrone data. The script iterates over all 'isochrones.txt' files found within the '../outputs' directory and its subdirectories, computes the magnitudes with specific… text/html 2024-02-19T23:38:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=isochrone_fitting_and_optimization_script&rev=1708385926&do=diff Isochrone Fitting and Optimization Script This Python script is designed for fitting isochrones to color-magnitude diagrams (CMDs) utilizing photometry data and bolometric correction tables. It supports multiple methods for fitting, can accept various filters, and allows for the generation of plots to visualize the fitting process. The script relies on external libraries for loading isochrone data and performing the optimization process. It saves the results in a Pickle file format, including t… text/html 2024-02-19T23:39:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=isochrone_fitting_script_for_astronomical_data_analysis&rev=1708385948&do=diff Isochrone Fitting Script for Astronomical Data Analysis This Python script is part of a larger project for fitting isochrones to color-magnitude diagrams (CMDs) of star clusters. It imports functionality from a custom package fidanka, handles astronomical data processing with text/html 2024-02-19T23:38:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=isochrone_interpolation_and_cmd_loading_in_astronomy&rev=1708385937&do=diff Isochrone Interpolation and CMD Loading in Astronomy This Python script is designed for astronomers and astrophysicists who work with stellar isochrones and color-magnitude diagrams (CMDs). It includes functions to load isochrone data files, extract metadata, and perform interpolations for specific ages and metallicities based on the isochrone models. The script utilizes libraries such as NumPy for numerical operations, SciPy for interpolation, and tqdm for progress bars. Key functionalities in… text/html 2024-02-19T23:28:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=kippenhan-iben_diagram_generator_script&rev=1708385328&do=diff Kippenhan-Iben Diagram Generator Script This Python script generates Kippenhan-Iben diagrams for stellar models, allowing for the visualization of different stellar parameters over time. It includes functionality to set up plotting preferences, read track and model files, identify non-empty binary model files in a directory, and format identification results. Additionally, it handles command-line arguments for specifying model directories, output paths, and an identification mode for model file… text/html 2024-02-19T23:32:43+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=kmnist_cnn_training_script&rev=1708385563&do=diff KMNIST CNN Training Script This is a Python script for training a Convolutional Neural Network (CNN) on the KMNIST dataset. It includes importing necessary libraries and modules, setting up argument parsing for training data path, defining network hyperparameters like learning rate and epochs, preparing the dataset for training including splitting into training and validation sets, defining a DataLoader for batch processing, and initiating the training process. The script utilizes PyTorch and i… text/html 2024-02-19T23:56:02+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=lapack_testing_automation_script&rev=1708386962&do=diff LAPACK Testing Automation Script The Python script automates the process of running LAPACK (Linear Algebra Package) tests, analyzing their output, and summarizing the results. It supports various options for specifying the directory of LAPACK testing files, selecting types of tests to run (e.g., linear equations, eigen problems), and focusing on specific precision types (e.g., single, double). Additionally, it allows users to opt for a shorter summary or only error reporting. The script also ha… text/html 2026-04-02T18:26:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=mapping.cpp&rev=1775154391&do=diff Mapping.cpp: Domain Mapping and XAD-enabled Multiphysics Solver mapping.cpp A C++ MFEM-based module implementing a DomainMapper to map reference coordinates to a deformed physical domain, plus a suite of mapped coefficients, nonlinear integrators, and gravity/multiphysics solvers with an EOS via XAD autodiff. It handles domain decomposition (stellar/core/envelope/vacuum), quadrupole moments, gravitational potential, and includes a test harness and CLI-driven entry point. text/html 2024-02-23T15:34:01+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=motion_analysis_and_visualization_script&rev=1708702441&do=diff Motion Analysis and Visualization Script A Python script that reads motion data from CSV files, computes spatial metrics like the center of position and average distance from the center over time, performs Lomb-Scargle periodogram analysis, and saves analyzed results as Numpy arrays. It utilizes libraries such as Pandas for data manipulation, Matplotlib and mplEasyAnimate for visualization, and Scipy for signal processing. text/html 2024-02-19T23:58:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=performance_comparison_of_libdsepio_read_and_read_trk_functions&rev=1708387127&do=diff Performance Comparison of libdsepio_read and read_trk Functions This script benchmarks the performance of two functions, libdsepioread and readtrk, used for reading tracking data from file paths. It measures the execution time for reading the same track file multiple times using both Python loops and leveraging a library possibly written in C++. Additionally, it employs the pandas library to organize the timing results into a dataframe and outputs these results into a CSV file. Finally, it prin… text/html 2024-02-23T17:03:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=photometricoffsetfigures.ipynb&rev=1708707804&do=diff Analysis of Photometric Offsets in Astronomical Data using Python PhotometricOffsetFigures.ipynb This Jupyter notebook contains a detailed analysis focused on comparing photometric data from the HUGS and ACS surveys, specifically targeting the NGC 2808 cluster. It involves data cleaning, sampling, and visualization using libraries like pandas, matplotlib, and numpy. Furthermore, it applies fiducial line measurement techniques to discern photometric offsets and undertakes isochrone fitting with… text/html 2024-02-23T17:39:52+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=photometry.py&rev=1708709992&do=diff Astrophysical Photometry Analysis with Python photometry.py This Python script, photometry.py, appears to be designed for advanced photometric analysis in astrophysics, specifically tailored for analyzing data from the Hubble Space Telescope's Ultraviolet Legacy Library of Young Stars as Essential Standards (HUGS). It includes functions for reading, cleaning, and processing HUGS data; extracting features such as the main sequence, red giant branch, and pseudo-color ridgelines from color-magnit… text/html 2024-02-20T00:02:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=plotting_evolutionary_tracks_with_pysep&rev=1708387329&do=diff Plotting Evolutionary Tracks with PySEP This script utilizes the PySEP (Python Stellar Evolution Plots) library to plot the evolutionary tracks of stellar models. Users provide paths to their model files, and the script plots these tracks, saving the resultant figure as a PDF. The script accepts multiple model files as input arguments and includes options for defining the output file path. text/html 2024-02-19T23:34:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=pysep_get_basic_stellar_model_function&rev=1708385660&do=diff PySEP get_basic_stellar_model Function This content demonstrates how to use the PySEP library's get_basic_stellar_model function in Python to retrieve a basic stellar model for simulations or analysis. The code snippet shows the importation of the get_basic_stellar_model text/html 2024-02-20T00:01:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_example_for_stellar_evolution_modeling_using_pysep&rev=1708387319&do=diff Python Example for Stellar Evolution Modeling Using PySEP This Python code snippet demonstrates the use of the PySEP library to model the evolution of a star. PySEP is a library specialized in stellar evolution physics. The code imports various default configurations for solar parameters, physics options, initial mass, and opacity tables from the library. It then initializes a stellar model with these configurations, evolves the model over time, and finally stores the results. This snippet is u… text/html 2024-02-20T00:03:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_data_manipulation_and_analysis_in_astrophysics&rev=1708387403&do=diff Python Script for Data Manipulation and Analysis in Astrophysics This file is likely a Python script used for manipulating and analyzing data within the field of astrophysics. It includes importing modules for handling specific file types (.track) and operations such as reading these files, generating models with given parameters, and running numerical fractions computations. The script walks through directories to find files with a specific extension, reads the content of these files, processe… text/html 2024-02-19T23:33:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_generating_and_parsing_histogram_files_of_synthetic_populations&rev=1708385610&do=diff Python Script for Generating and Parsing Histogram Files of Synthetic Populations This Python script is designed to generate histogram files from synthetic populations data. It includes functions to create histograms based on the data in CSV format, read specific headers and meta information from binary files, and iterate through binary files to extract, decode, and store histogram data efficiently. Primarily, it utilizes libraries such as NumPy for data manipulation and Pandas for reading CSV … text/html 2024-02-19T23:55:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_generating_loggteff_graphs&rev=1708386937&do=diff Python Script for Generating loggTeff Graphs This Python script uses argparse for command-line argument parsing to generate loggTeff graphs, primarily intended for testing. It includes functionalities to accept a file path and an optional output path for saving the generated figure. The script checks for the '.iso' extension in the input path and utilizes a custom load function to process the data. text/html 2024-02-20T00:02:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_generating_pre_mainsequence_models&rev=1708387379&do=diff Python Script for Generating Pre Mainsequence Models This file is a Python script designed for astrophysics research, particularly in the area of star formation and evolution. It takes a chemical composition file as input, along with parameters defining a range of stellar masses, and generates pre-mainsequence models for this range. These models simulate the early stages of star formation before the stars begin fusing hydrogen in their cores. The script relies on the text/html 2024-02-19T23:58:16+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_generating_tops_tables&rev=1708387096&do=diff Python Script for Generating TOPS Tables This Python script is designed to process astrophysical data, specifically generating tables for The Opacity Project (TOPS). It includes functions to call numerical fraction data, parse abundance files, and format the data into a string suitable for TOPS tables. The script takes command-line arguments for file paths and parameters, processes the information to calculate mass fractions of elements, and then prints out these fractions along with a formatte… text/html 2024-02-19T23:35:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_managing_stellar_composition_data&rev=1708385736&do=diff Python Script for Managing Stellar Composition Data This Python script is designed for processing and transforming stellar track files into historical data records, managing a database of stellar models, and generating input files for isochrone calculations. It involves operations such as directory creation, file parsing, regex matching, and iterating through model databases to process stellar evolutionary tracks. This script is useful for astronomers and astrophysicists involved in stellar evo… text/html 2024-02-20T00:00:22+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_plotting_loggteff_graph&rev=1708387222&do=diff Python Script for Plotting loggTeff Graph This Python script uses argparse for command-line argument parsing and matplotlib for plotting. It's designed to generate a graph plotting 'logg' against 'teff' from data loaded from an '.iso' file. The script supports input file specification and an optional output path for saving the generated graph. text/html 2024-02-19T23:53:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_stellar_model_calibration_and_evolution_with_pysep&rev=1708386818&do=diff Python Script for Stellar Model Calibration and Evolution with PYSEP This script uses PYSEP, a Python package for stellar evolution, to calibrate and evolve stellar models using OPAL and OPLIB opacity tables. It involves the creation of stellar models with specific configurations, calibrates them using solar calibration techniques, and then evolves these models. The script showcases the process of setting up, calibrating, and evolving stellar models comprehensively. text/html 2024-02-20T00:00:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_stellar_model_evolution_simulation&rev=1708387244&do=diff Python Script for Stellar Model Evolution Simulation This Python script leverages the pysep library to run simulations on the evolution of stellar models based on varying mass ranges. It allows users to set parameters such as mass range and composition, control physical conditions, and output high-resolution models. The script uses multiple modules for data handling, model generation, and running simulations in parallel, aimed at identifying fully convective boundaries in stars with ATOMIC opac… text/html 2024-02-19T23:55:25+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_script_for_testing_stellar_models_with_dsep&rev=1708386925&do=diff Python Script for Testing Stellar Models with DSEP This Python script is designed to test the Dartmouth Stellar Evolution Program (DSEP) by loading and applying different atmospheric boundary conditions. It dynamically imports modules for handling varying types of boundary condition files, opacities, stellar masses, and physical constants. The script allows users to specify paths to different boundary condition tables via command-line arguments, creates a stellar model with these conditions, ev… text/html 2024-02-19T23:54:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=python_stellar_evolution_simulation_example&rev=1708386882&do=diff Python Stellar Evolution Simulation Example This Python script demonstrates the use of a stellar evolution simulation library (presumably named PySEP) for modeling stellar processes. The example initializes models for solar-type stars using predefined solar parameters, physical constants, and opacity tables. It also demonstrates how to load pre-main sequence files (premsf_file) for two versions (C and a placeholder F version) of a star, evolve these models, and potentially store the evolved dat… text/html 2024-02-20T00:02:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=reading_isochrones_data_from_text_files_in_python&rev=1708387340&do=diff Reading Isochrones Data from Text Files in Python This Python script demonstrates how to read and parse isochrone data from text files. It involves opening a file, reading its contents, and using regular expressions to identify and parse tables of isochrone data. The data is then loaded into pandas dataframes for each isochrone table found, making it easier to handle and analyze the numerical data contained within. text/html 2024-02-19T23:39:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=reading_mist_isochrone_files&rev=1708385967&do=diff Reading MIST Isochrone Files Provides functions to read and parse MIST formatted isochrone files, extracting either detailed data tables as pandas DataFrames organized by age or essential metadata, including version details and initial conditions. import re import pandas as pd from io import StringIO from itertools import islice from typing import Any def read_iso(filename: str) -> dict[float, pd.DataFrame]: """ Read in a MIST formated isochrone to a list of DataFrame Paramete… text/html 2024-03-04T14:28:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=rudmodel.ipynb&rev=1709562524&do=diff Modeling Brown Dwarf Evolution Influenced by Close M-dwarf Companion RudModel.ipynb This Jupyter notebook outlines a model to simulate the evolution of a brown dwarf when influenced by a close M-dwarf companion. The model includes importing necessary libraries such as numpy, scipy, and matplotlib for numerical computations and plotting, along with a specific library for astronomical simulations. It details the initialization of constants like solar luminosity, radius, and mass, alongside brown… text/html 2024-02-19T23:56:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=runnewpoly.py_script_documentation&rev=1708387000&do=diff runNewpoly.py Script Documentation This Python script serves as a wrapper around a Fortran program named 'newpoly.py', which is used to generate polytropic models of stars. The script includes functionalities to handle command line arguments, format input for the Fortran program, and manage the file environment for the program's execution. It provides features such as estimating effective temperature and luminosity based on input parameters like metal mass fractions and solar mass units, settin… text/html 2024-02-20T00:02:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=sample_python_script_for_data_analysis&rev=1708387366&do=diff Sample Python Script for Data Analysis This file is a Python script designed to perform data analysis. It likely contains functions for data cleaning, manipulation, and basic statistical analysis. The script could be used in various projects that require processing and understanding large datasets. text/html 2024-02-19T23:32:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_generating_kippenhan-iben_diagram_and_identifying_binary_model_files&rev=1708385520&do=diff Script for Generating Kippenhan-Iben Diagram and Identifying Binary Model Files This script is designed for astronomers or astrophysicists working with stellar evolution models. It offers two primary functionalities: generating a Kippenhan-Iben diagram, which visualizes various parameters of a star (such as temperature, luminosity, and radius) over time, and identifying non-empty binary model files (.binmod) within a specified directory. The script utilizes libraries such as matplotlib for plot… text/html 2024-02-19T23:54:16+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_generating_pre-main_sequence_models&rev=1708386856&do=diff Script for Generating Pre-Main Sequence Models This Python script generates pre-main sequence (pre-MS) models for a range of masses given a chemical composition file. The user specifies the path to the composition file, a low and high mass range, and a step size between masses. Additionally, options to specify the output directory and a name for the composition are available. The script uses the PySEP library functions to open and parse the composition file, then generate and output the pre-MS … text/html 2024-02-19T23:58:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_generating_pre_main_sequence_models&rev=1708387107&do=diff Script for Generating Pre Main Sequence Models This Python script, part of a scientific computing package, automates the generation of pre-main sequence (pre-MS) stellar models based on a given chemical composition file. It employs a command-line interface to receive user inputs specifying the path to the chemical composition file, mass range (lower limit, upper limit, and step size) for which the pre-MS models should be generated, and optional parameters for output directory and composition na… text/html 2024-02-19T23:36:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_organizing_astrophysical_simulation_outputs&rev=1708385774&do=diff Script for Organizing Astrophysical Simulation Outputs This Python script is designed to manage the organization of simulation output files. It focuses on integrating low mass model simulation outputs with pre-existing higher mass model outputs into a unified directory structure. The script checks for existing directories, identifies missing ones, and is prepared to copy missing simulation results to ensure a comprehensive set of data, facilitating easier data analysis and access. text/html 2024-02-20T00:11:45+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_processing_and_aggregating_track_data_to_csv&rev=1708387905&do=diff Script for Processing and Aggregating Track Data to CSV This Python script is designed to traverse a directory structure to find files with a '.track' extension, read their contents using a specialized function (read_trk), and aggregate specific information from these files into a single CSV file named 'lastModels.csv'. It specifically extracts the last entry from each track file, adds the model name derived from the file's name, and then compiles these entries into a DataFrame. This aggregated… text/html 2024-02-20T00:02:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_stellar_model_generation_and_evolution_simulations&rev=1708387360&do=diff Script for Stellar Model Generation and Evolution Simulations This Python script automates the process of generating and evolving stellar models for a given range of stellar masses using pre-main sequence models, high temperature opacity tables, and chemical abundance files. It incorporates parallel processing for efficiency and allows for customization through command-line arguments. text/html 2024-02-19T23:54:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_for_stellar_opacity_calculations_using_python&rev=1708386896&do=diff Script for Stellar Opacity Calculations Using Python This script is used for calculating and plotting the stellar opacity data using interpolation methods. It involves reading the OPAL (Opacity Project At Livermore) opacity tables, converting and interpolating these data onto a specific grid expected by the DSEP (Dartmouth Stellar Evolution Program), and then calculating the fractional differences between interpolated and original data sets. The script also includes visualization of these calcu… text/html 2024-02-20T00:01:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_overview_for_stellar_evolution_model_generation&rev=1708387260&do=diff Script Overview for Stellar Evolution Model Generation This Python script is designed to create a series of stellar evolution models across a specified mass range. It leverages the PYSEP library to manage the physics and numerical methods used in constructing these models. The script automates the process of defining initial parameters for each star, adjusting resolution settings for high accuracy, and systematically iterating over a mass range to generate pre-main sequence files (PREMS) for ea… text/html 2024-02-19T23:56:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=script_to_generate_namelist_files_for_stellar_modelling&rev=1708387010&do=diff Script to Generate Namelist Files for Stellar Modelling This Python script automates the generation of namelist files for stellar modelling programs. It processes isotropic abundances from composition files and incorporates these into the required namelist format. The script accepts various arguments related to the stellar composition and outputs a formatted .nml file, which is used by the newpoly program to model stellar properties such as mass, temperature, and luminosity. text/html 2024-02-23T18:08:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=sextenfigures.ipynb&rev=1708711701&do=diff Visualization of Astrophysical Data and Fitting Results SextenFigures.ipynb This file contains Python code for processing and visualizing astrophysical data, including manipulating photometry data, normalizing densities, creating color-magnitude diagrams, and plotting fitting results to identify best fits among model populations. It includes custom color schemes for visualization, use of matplotlib for plotting, and procedures for density normalization and scatter plot generation. The notebook… text/html 2024-02-23T15:06:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=simbad4_astronomical_object_catalog&rev=1708700781&do=diff SIMBAD4 Astronomical Object Catalog This content is likely a section of the SIMBAD4 astronomical database release 1.7, dated 2020.01.08. It appears to list various astronomical objects with their typed identifiers, standard identifiers, object types, coordinates based on the ICRS system for the epoch J2000/2000, observed magnitudes across various filters (Mag U, Mag B, Mag V, Mag R, Mag I), spectral types, and the number of bibliographic and note entries associated with each object. Additional … text/html 2024-02-19T23:27:22+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=simulation_data_processing_for_stellar_evolution_models&rev=1708385242&do=diff Simulation Data Processing for Stellar Evolution Models The content outlines a Python script designed for scanning, analyzing, and visualizing simulation data of stellar evolution models. It incorporates the loading of models from directories, processing these models to query specific parameters (e.g., population, mixing length, and mass), and saving or loading the processed data using pickle. Additionally, it includes functionality for applying bolometric corrections and calculating apparent m… text/html 2024-02-19T23:40:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=solar_calibration_script_using_pysep&rev=1708386030&do=diff Solar Calibration Script using PySEP This Python script performs solar calibration for stellar models using the PySEP package. It reads composition, atmospheric, and opacity model files from input CSV files, generates pre-main sequence (preMS) models, and carries out solar calibration. The calibrated models are saved to a specified output directory. The script includes functionalities for parsing atmospheric model files, low and high temperature opacity files, and composition files. Error handl… text/html 2024-02-20T00:12:12+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=start&rev=1708387932&do=diff Emily's Galactic Gits This is a silly little website which host some random scripts which I have written on. These are scripts which don't justify their own full git repos, are spread around my computer basically randomly, and are not members of other git projects. Despite all this still want a way to host, search, and share these. Thus this wiki. index text/html 2024-02-19T23:39:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=star_formation_history_analysis_with_custom_filtering_and_optimization&rev=1708385959&do=diff Star Formation History Analysis with Custom Filtering and Optimization This Python file performs a complex analysis of star formation histories by loading results from previously executed fits, defining conditions for valid combinations of parameters, and applying a series of functions to filter, optimize, and calculate statistics like mean chi-squared values. It includes importing external libraries, defining custom lambda functions for filtering based on stellar age, distance modulus, and col… text/html 2024-02-19T23:57:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_abundance_conversion_script&rev=1708387049&do=diff Stellar Abundance Conversion Script This script is designed to convert hydrogen and metal mass fractions (X and Z) into the standard stellar abundance metrics: [Fe/H], [alpha/H], and a(He). It employs a serialized interpolation function to calculate these values and supports optional validation of the conversion through an external program. Key functionalities include loading the interpolation function, executing the conversion, and optionally performing validation checks with output parsing an… text/html 2024-02-19T23:31:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_astrophysics_simulation_data_processing_script&rev=1708385508&do=diff Stellar Astrophysics Simulation Data Processing Script This Python script is designed for processing astrophysics simulation data, particularly focusing on stellar properties and their evolution. It involves scanning directories for simulation data files, extracting and organizing data based on parameters like mixing length, mass, and metallicity (FeH). Additionally, it calculates the Red Giant Branch (RGB) bump luminosity, applies bolometric corrections, and saves processed data for further an… text/html 2024-02-19T23:53:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_evolution_calibration_and_evolution_script&rev=1708386809&do=diff Stellar Evolution Calibration and Evolution Script This Python script is used for calibrating and evolving stellar models using the OPAL and OPLIB opacity library configurations. It performs solar calibration using predefined physical and control parameters, evolves the models, and stashes the evolved data for further analysis. text/html 2024-02-19T23:55:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_evolution_model_generation_script&rev=1708386905&do=diff Stellar Evolution Model Generation Script A Python script designed for creating a grid of stellar models based on different parameters such as metallicity (Z), alpha-enhancement (A), and stellar mass (M). The script utilizes the PYSEP library for stellar physics calculations, handling input ranges for the desired parameters, and generating pre-main sequence models. It supports parallel processing to evolve the models and aims to build a grid of models to interpolate effective temperature (Teff)… text/html 2024-02-19T23:54:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_evolution_simulation_example&rev=1708386847&do=diff Stellar Evolution Simulation Example This Python code snippet demonstrates an example of using the PySEP library for simulating the evolution of stars. It showcases how to configure stellar models based on default physical parameters and opacity tables, how to prepare models for different initial masses using pre-main sequence (preMS) models for solar metallicity, and how to run parallel stellar evolution calculations. After the evolution, results are stashed for further analysis or visualizati… text/html 2024-02-20T00:01:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_evolution_simulation_script&rev=1708387287&do=diff Stellar Evolution Simulation Script This script appears to be used for simulating stellar evolution using Python with the PYSEP library. It imports various modules for setting up the stellar model environment, customizing physics and control parameters, handling file types related to pre-main-sequence files, and dealing with opacity tables. The core function defined in the script, set text/html 2024-02-19T23:34:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_model_calibration_using_python&rev=1708385682&do=diff Stellar Model Calibration using Python This Python script is part of a larger project focusing on the calibration of stellar models using opacity data from various sources (e.g., Ferguson and Aesopus). It demonstrates the process of calibrating solar models, updating model controls, evolving stellar models in parallel, and saving the calibration results with the pickle module. The script handles file operations, utilizes custom libraries for stellar physics, and highlights techniques for optimi… text/html 2024-02-20T00:03:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_model_composition_data_extraction_script&rev=1708387393&do=diff Stellar Model Composition Data Extraction Script This script is designed to walk through directories to find files with the extension '.track', extract specific pieces of stellar model data (e.g., Model #, Age, log Luminosity, etc.) from these files, and then compile this information into a Python dictionary. This dictionary, mapping model names to their respective composition data, is then serialized and saved as a pickle file. Additionally, the script reports the number of files skipped due t… text/html 2024-02-19T23:35:18+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=stellar_model_database_population_script&rev=1708385718&do=diff Stellar Model Database Population Script This Python script populates a database with stellar models using the pysep library. It searches for model files in a directory structure, extracts population and parameter information from the directory names using regular expressions, and then creates and populates a database file (.dbs) with these models. The script includes functionality for normalizing file paths and handles the database operations in a manner designed for large sets of data, levera… text/html 2024-02-19T21:44:09+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=test&rev=1708379049&do=diff this is a test page text/html 2024-02-20T00:01:48+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=understanding_the_dsep_model_loading_in_python&rev=1708387308&do=diff Understanding the DSEP Model Loading in Python This Python script snippet demonstrates how to load a model using the 'pysep' library, specifically targeting the 'dsep' module within. The model is loaded from a file named 'model.dsep'. After loading, the script accesses and prints two properties of the model: whether it is symlinked (via '_symlinked') and the unit of the model (via 'unit'). This could be used for debugging, model inspection, or as part of a larger implementation working with DSE… text/html 2024-03-04T14:29:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=voxel.ipynb&rev=1709562547&do=diff Voxel Modeling in Python voxel.ipynb This Jupyter Notebook explores voxel-based simulations for physical systems. It discusses optimizing voxel tessellation algorithms, including the considerations for using cubic or truncated octahedral voxel shapes. It also entails practical implementation of these concepts in Python, utilizing numpy and matplotlib for operations like defining 3D kernels for neighbor interactions in voxel grids, computing temperature differences for a modeled sphere, and vis… text/html 2024-02-19T23:39:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=working_with_astronomical_isochrone_data_in_python&rev=1708385996&do=diff Working with Astronomical Isochrone Data in Python This content represents a Python script or a component of a larger Python project designed for handling astronomical isochrone data. Isochrones, which are lines connecting points of equal age in a plot, are crucial in understanding the evolutionary stages of stars in a cluster. The script utilizes modules from different libraries (e.g., text/html 2024-02-19T23:34:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://galactic.algebrist.com/doku.php?id=working_with_stellar_models_and_low-temperature_opacity_files_in_python&rev=1708385672&do=diff Working with Stellar Models and Low-Temperature Opacity Files in Python This Python script demonstrates how to use a library for simulating stellar models to manage and apply different sets of low-temperature opacity files. It shows the process of selecting specific types of opacity files, organizing these files into different categories based on their origins (Fergeson and Aesopus), and applying them to create and evolve parallel stellar models. The script also covers basic directory operation…