メニュー
Use when the user mentions 'GWOSC', 'gravitational waves', 'LIGO', 'Virgo', or asks to find gravitational wave events, get event parameters, or download strain data. GWOSC provides open data from gravitational wave detectors.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Flag anomalies and outliers in data using Bayesian inference. Use when the user asks to "flag the anomalies in this data", "which points are outliers", "find the anomalies", "flag outliers", "clean my data of outliers", "detect anomalies", "robust fit ignoring outliers", "mitigate RFI", "handle contaminated data", "anomaly detection", "outlier detection", or mentions flagging bad data points, anomaly-corrected likelihood, or epsilon mask.
Use this skill when the user asks to "create corner plots", "visualize posteriors", "plot chains", "analyze nested sampling output", "plot marginal distributions", "compare prior and posterior", "make triangle plots", or work with posterior samples from PolyChord, MultiNest, UltraNest, Cobaya, or other Bayesian inference tools. Provides complete guidance for creating publication-quality posterior visualizations from nested sampling or MCMC chains.
Guide for creating effective skills for fundamental physics research. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized scientific knowledge, research workflows, or physics tool integrations.
JAX-accelerated supernova bandflux calculation for light curve modeling. Use when the user asks to "compute bandflux", "calculate supernova flux", "fit light curves with JAX", "use SALT3 model", "create custom SED model", "set up supernova likelihood", or mentions jax-bandflux, SALT3Source, TimeSeriesSource, or supernova photometry. Provides installation guidance, synthetic data generation, and likelihood templates for SALT3 and custom SED models.
Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind figures in high-energy physics publications.
Use when the user mentions 'Zenodo' or asks to find, search, or download datasets, software, or research artifacts with DOIs. Zenodo hosts scientific datasets, code releases, and supplementary materials from publications.
| name | gwosc |
| description | Use when the user mentions 'GWOSC', 'gravitational waves', 'LIGO', 'Virgo', or asks to find gravitational wave events, get event parameters, or download strain data. GWOSC provides open data from gravitational wave detectors. |
Search and download gravitational wave data from the Gravitational Wave Open Science Center (GWOSC).
Requires: requests (pip install requests)
GWOSC provides open access to gravitational wave data from LIGO, Virgo, and KAGRA:
# List available catalogs
python scripts/gwosc.py --catalogs
# List events from GWTC
python scripts/gwosc.py --list
# List events from a specific catalog
python scripts/gwosc.py --list O3_Discovery_Papers
# Get event details
python scripts/gwosc.py GW150914
# Get specific version
python scripts/gwosc.py GW150914 --version 3
# Search by primary mass range
python scripts/gwosc.py --min-mass1 20 --max-mass1 50
# Search for nearby events
python scripts/gwosc.py --max-distance 500
# Search by SNR threshold
python scripts/gwosc.py --min-snr 20
# Combined search
python scripts/gwosc.py --min-mass1 30 --max-distance 1000 --min-snr 15
# Limit results
python scripts/gwosc.py --min-mass1 10 -n 5
| Parameter | Description |
|---|---|
--min-mass1, --max-mass1 | Primary mass range (M_sun) |
--min-mass2, --max-mass2 | Secondary mass range (M_sun) |
--min-distance, --max-distance | Luminosity distance range (Mpc) |
--min-snr | Minimum network SNR |
# List available strain files for an event
python scripts/gwosc.py GW150914 --strain
# Download 32s strain from Hanford
python scripts/gwosc.py GW150914 --download H1
# Download 4096s strain from Livingston in GWF format
python scripts/gwosc.py GW150914 --download L1 --duration 4096 --format gwf
# Download to specific directory
python scripts/gwosc.py GW150914 --download H1 -o ./data/
| Code | Detector |
|---|---|
| H1 | LIGO Hanford |
| L1 | LIGO Livingston |
| V1 | Virgo |
| Format | Description |
|---|---|
hdf5 | HDF5 format (default) |
gwf | Gravitational Wave Frame format |
txt | Gzip-compressed text |
32 - 32 seconds around the event (default)4096 - 4096 seconds for longer analysisWhen viewing an event, key parameters include:
python scripts/gwosc.py --catalogspython scripts/gwosc.py --listpython scripts/gwosc.py --min-mass1 30python scripts/gwosc.py GW190521python scripts/gwosc.py GW190521 --strainpython scripts/gwosc.py GW190521 --download H1# High-mass BBH (stellar mass)
python scripts/gwosc.py --min-mass1 20 --min-mass2 10
# Intermediate mass
python scripts/gwosc.py --min-mass1 50
# Events within 500 Mpc
python scripts/gwosc.py --max-distance 500
# Download strain for parameter estimation
python scripts/gwosc.py GW150914 --download H1 --duration 4096 -o ./strain/
python scripts/gwosc.py GW150914 --download L1 --duration 4096 -o ./strain/
pip install gwosc for programmatic access