GWTC analysis tool
Project description
GWTC Analysis
Overview
GWTC Analysis is a command-line analysis suite for exploring publicly released Gravitational-Wave Transient Catalogs (GWTC) from the LIGO–Virgo–KAGRA (LVK) Collaboration.
The tool provides:
- Search of gravitational-wave sky localizations around a given sky position
- Visualization of parameter-estimation results for individual events
- Selection of events based on physical constraints (masses, distance)
- Global catalog statistics, including detector-network participation and sky-localization performance
All gravitational-wave data products are retrieved from the Gravitational Wave Open Science Center (GWOSC), or from supported alternative repositories (Zenodo / S3 / Galaxy collections).
New: the GWTC-5.0 catalog (O4b observing run) is now available and fully supported — use the
GWTC-5catalog key.
Containerized Distribution (Docker)
gwtc_analysis is distributed as a ready-to-use Docker container named gwtc-tool.
- Docker image name:
gwtc-tool - Docker Hub repository: https://hub.docker.com/r/danielsentenac/gwtc-tool/
Using the Docker image is recommended for reproducibility, portability, and integration with workflow systems (e.g. Galaxy, CI pipelines).
Astrophysical Sources
The GWTC catalogs contain compact binary merger events involving:
- Binary Black Holes (BBH)
- Binary Neutron Stars (BNS)
- Neutron Star – Black Hole systems (NSBH)
These mergers are detected by the LVK detector network: H1 (Hanford), L1 (Livingston), V1 (Virgo), K1 (KAGRA).
Supported GW Catalog Names
Catalog identifiers are case-sensitive:
| Catalog name | Description |
|---|---|
GWTC-1 |
Confident subset of GWTC-1 |
GWTC-2.1 |
Confident subset of GWTC-2.1 |
GWTC-3 |
Confident subset of GWTC-3 |
GWTC-4 |
GWTC-4 public release |
GWTC-5 |
GWTC-5.0 public release (O4b) |
ALL |
Expands to all catalogs above |
GWTC-5 resolves to the GWOSC GWTC-5.0 endpoint and to the Zenodo records below.
Command-Line Interface (CLI)
usage: gwtc_analysis [-h] MODE ...
positional arguments:
MODE
catalog_statistics
event_selection
search_skymaps
parameters_estimation
build_unofficial_pe
Each mode has its own help:
python -m gwtc_analysis.cli <MODE> -h
General Units and Ranges
- Right Ascension: degrees [0, 360)
- Declination: degrees [-90, +90]
- Probability threshold: [0, 1]
- Masses: solar masses (M☉)
- Distances: megaparsecs (Mpc)
Data repositories
The GWTC catalogs (Parameter Estimation and Skymaps) can be directly downloaded from different supports:
- The Zenodo portal (official catalogs PE/skymaps tarballs) at https://zenodo.org/records/8177023|17014085|6513631. GWTC-5.0 (O4b) is split across two records: https://zenodo.org/records/20348005 (part 1, plus the archived skymaps tarball) and https://zenodo.org/records/20348006 (part 2).
- A s3 Minio bucket called gwtc on https://minio-dev.odahub.fr
- Galaxy collections under the name GWTC at https://usegalaxy.org
Usage
This tool is designed to run either on your laptop as a docker image or conda package, or on several user-friendly platforms:
Inputs
- Catalog selections are passed as parameters separated by space
- Data repositories accept
--data-repoto choose where data products are read from:galaxy: read inputs from Galaxy collectionszenodo: official releases from Zenodos3: S3-compatible bucket
Outputs
- TSV tables
- HTML reports
- Plot images
CLI options (auto-generated)
The tables below are generated directly from cli.py to stay aligned with the real CLI.
To regenerate locally (from the repository root):
python gwtc_analysis/gen_readme_cli_tables.py
catalog_statistics
| Option | Default | Description |
|---|---|---|
-h, --help |
`` | show this help message and exit |
--catalogs |
`` | Catalog keys, space-separated (e.g. GWTC-1 GWTC-2.1 GWTC-3 GWTC-4 GWTC-5). ALL key takes them all. |
--out-events |
catalogs_statistics.tsv |
Output TSV path (per-event table). |
--out-report |
catalogs_statistics.html |
Output HTML report path. |
--include-detectors |
False |
Include detector network via GWOSC v2 calls. |
--include-area |
False |
Compute sky localization area Axx if skymaps are available. |
--area-cred |
0.9 |
Credible level for sky area: 0.9→A90, 0.5→A50, 0.95→A95. |
--plots-dir |
cat_plots |
Directory for plots (default: cat_plots). |
--data-repo |
zenodo |
Where to read data from: galaxy | zenodo | s3. |
event_selection
| Option | Default | Description |
|---|---|---|
-h, --help |
`` | show this help message and exit |
--catalogs |
`` | Catalog keys, space-separated (e.g. GWTC-1 GWTC-2.1 GWTC-3 GWTC-4 GWTC-5). ALL key takes them all. |
--out-selection |
event_selection.tsv |
Output TSV path for the selected events. |
--m1-min |
`` | Minimum primary mass (source frame). |
--m1-max |
`` | Maximum primary mass (source frame). |
--m2-min |
`` | Minimum secondary mass (source frame). |
--m2-max |
`` | Maximum secondary mass (source frame). |
--dl-min |
`` | Minimum luminosity distance (Mpc). |
--dl-max |
`` | Maximum luminosity distance (Mpc). |
search_skymaps
| Option | Default | Description |
|---|---|---|
-h, --help |
`` | show this help message and exit |
--catalogs |
`` | Catalog keys, space-separated (e.g. GWTC-1 GWTC-2.1 GWTC-3 GWTC-4 GWTC-5). ALL key takes them all. |
--ra-deg |
`` | Right ascension (deg). |
--dec-deg |
`` | Declination (deg). |
--prob |
0.9 |
Credible-level threshold (0–1). Common values: 0.9, 0.5, 0.95. |
--skymap-label |
Mixed |
Label selector used to filter skymap (default: Mixed). |
--out-events |
search_skymaps.tsv |
Output TSV file (default: search_skymaps.tsv). |
--out-report |
search_skymaps.html |
Optional output HTML report path for hits. |
--plots-dir |
sky_plots |
Directory for hit plots (default: sky_plots). |
--data-repo |
zenodo |
Where to read data from: galaxy | zenodo | s3. |
parameters_estimation
| Option | Default | Description |
|---|---|---|
-h, --help |
`` | show this help message and exit |
--out-report |
parameters_estimation.html |
Output HTML report path. |
--src-name |
`` | Source event name (e.g. GW231223_032836). |
--data-repo |
zenodo |
Where to read data from: galaxy | zenodo | s3. |
--pe-vars |
`` | Extra posterior sample variables to plot (space-separated). Example: --pe-vars chi_eff chi_p luminosity_distance. |
--pe-pairs |
`` | Extra 2D posterior pairs to plot as 'x:y' tokens. Example: --pe-pairs mass_1_source:mass_2_source chi_eff:chi_p. |
--plots-dir |
pe_plots |
Directory for output PE plots (default: pe_plots). |
--start |
0.2 |
Default seconds before GPS time for overlay and q-transform windows. |
--stop |
0.1 |
Default seconds after GPS time for overlay and q-transform windows. |
--fmin |
20.0 |
Default low frequency bound (Hz) used for overlay filtering and q-transform range. |
--fmax |
300.0 |
Default high frequency bound (Hz) used for overlay filtering and q-transform range. |
--overlay-start |
`` | Override seconds before GPS time for the whitened overlay window. |
--overlay-stop |
`` | Override seconds after GPS time for the whitened overlay window. |
--overlay-fmin |
`` | Override low frequency bound (Hz) for overlay whitening/bandpass. |
--overlay-fmax |
`` | Override high frequency bound (Hz) for overlay whitening/bandpass. |
--q-start |
`` | Override seconds before GPS time for the q-transform window. |
--q-stop |
`` | Override seconds after GPS time for the q-transform window. |
--q-fmin |
`` | Override low frequency bound (Hz) for the q-transform. |
--q-fmax |
`` | Override high frequency bound (Hz) for the q-transform. |
--q-fscale |
log |
Frequency axis scaling for q-transform plots (default: log). |
--pe-label |
`` | PE label used to select posterior samples and metadata. If omitted and --waveform-engine is provided, the tool selects the closest PE label by substring match in the PE label. If both are omitted, defaults to Mixed. |
--waveform-engine |
`` | Waveform engine used to generate a time-domain waveform for strain overlay. If omitted, a sensible default engine is used for overlays. |
build_unofficial_pe
| Option | Default | Description |
|---|---|---|
-h, --help |
`` | show this help message and exit |
--src-name |
`` | Source event name (e.g. GW170817). |
--cache-dir |
.cache_gwosc |
Cache root where unofficial_pe/.h5 will be written. |
--force |
False |
Force rebuilding the unofficial bundle even if a cached copy already exists and is up to date. |
parameters_estimation: Shared Defaults And Overrides
The parameters_estimation workflow now separates shared plotting defaults from
per-product overrides.
- Shared defaults apply to both the whitened overlay and the q-transform:
--start,--stop,--fmin,--fmax - Overlay-only overrides affect only the whitened waveform overlay:
--overlay-start,--overlay-stop,--overlay-fmin,--overlay-fmax - Q-transform-only overrides affect only the time-frequency panel:
--q-start,--q-stop,--q-fmin,--q-fmax,--q-fscale {linear,log}
If an override is omitted, the corresponding shared default is used.
When the posterior is BNS-like (median chirp_mass < 5 M☉), the workflow
automatically switches the overlay and q-transform windows to a BNS profile
(longer windows, wider frequency range) for any parameter you did not set
explicitly on the CLI. An explicit --overlay-* / --q-* value always wins.
parameters_estimation: Matched-filter SNR
For each detector present in the PE file, the workflow also produces a
matched-filter SNR time series |ρ(t)|: the maximum-likelihood projected
waveform is matched-filtered against the detector strain, and the peak should
sit at the coalescence time and rise to the detector's recovered SNR.
- The strain is conditioned the canonical PyCBC way before filtering (high-pass
at 15 Hz, resampled to a 2048 Hz grid, edges cropped of filter transients), so
the off-source
|ρ(t)|has unit-scale RMS (~0.7). A normalization guard warns if it strays from that range. - Short (BBH-like) signals only. A single maximum-likelihood template cannot coherently recover a long BNS inspiral — over the many thousands of inspiral cycles, small parameter/phase differences accumulate and the SNR is lost (reliable BNS recovery requires a template bank, not just more strain). When the template is longer than the available conditioned data, the matched-filter SNR is skipped with a warning; all other plots are still produced. This is not fixable by fetching a longer strain segment.
build_unofficial_pe: Unofficial Bundle Workflow
For supported special-case events such as GW170817, build_unofficial_pe
creates a PESummary-compatible PEDataRelease bundle from locally cached source
products such as posterior samples, PSDs, and skymaps.
-
GW170817is reconstructed from separate GWTC-1-era pieces rather than a single official PESummary release. The current recipe expects:~/.gwcache/GW170817_GWTC-1.hdf5,~/.gwcache/GWTC1_GW170817_PSDs.dat, and~/.gwcache/GW170817_skymap.fits.gz. -
The raw posterior samples do not provide
H1_time,L1_time, orV1_time. The bundle builder derives those detector arrival times fromgeocent_time,ra, anddecwith LAL detector delays, then stores them in the reconstructed sample table. For the median GW170817 sky position and geocenter GPS1187008882.429464, the arrivals are approximately H11187008882.448258, L11187008882.444965, and V11187008882.423074. -
If any of the three source files above are absent, the bundle cannot be rebuilt and strain overlays will not proceed from this special-case path.
-
Use
python -m gwtc_analysis.cli build_unofficial_pe --src-name GW170817to build or reuse the cached unofficial bundle explicitly. -
Use
--forceto rebuild the bundle even if the cached output is up to date. -
parameters_estimationkeeps its transparent fallback for supported special cases, but the explicit builder is the recommended way to prepare an uploadable bundle for S3 or local inspection.
Choosing --pe-label and --waveform-engine
The parameter estimation workflow distinguishes between which PE label is used (to read posteriors and metadata from the PE file) and which waveform engine is requested (to synthesize a time-domain signal for strain overlays).
--pe-label (PE samples / posteriors)
- Selects the PE label used to read posterior samples and associated metadata (e.g.
C00:Mixed,C00:IMRPhenomXPHM-SpinTaylor,C00:SEOBNRv5PHM). - If explicitly provided, this choice takes priority.
--waveform-engine (waveform engine for strain overlay)
- Selects the waveform generator used to build the time-domain waveform for strain overlays (engine name, e.g.
IMRPhenomXPHM). - This is an engine name and does not have to exactly match a PE label stored in the file.
Automatic label selection rules
-
If
--pe-labelis explicitly provided- That label is used for posterior plots.
- The same label is also used as the source of PSDs and maximum-likelihood parameters for strain overlays.
-
If
--pe-labelis not provided but--waveform-engineis- The tool selects the PE label whose waveform string best matches the requested engine by substring match on the PE label string (no hardcoded waveform mappings).
- The selected label is then used consistently for posteriors, PSDs/detector lists, and maximum-likelihood parameters.
Example:
--waveform-engine IMRPhenomXPHM- → selects
C00:IMRPhenomXPHM-SpinTaylorif present in the PE file
-
If neither option is provided
- The default
MixedPE label is used.
- The default
Waveform synthesis fallback
If the requested waveform engine cannot be instantiated (e.g. unsupported parameter range), the tool:
- logs a clear warning
- falls back to an alternative engine when possible
- explicitly reports both the requested and the actually used engine in the logs and plot titles
This ensures robustness while keeping model choices transparent.
Testing
python -m gwtc_analysis.cli search_skymaps --catalogs GWTC-4 --ra-deg 265.0 --dec-deg -46.0 --prob 0.6 --data-repo s3
python -m gwtc_analysis.cli event_selection --catalogs GWTC-4
python -m gwtc_analysis.cli catalog_statistics --catalogs GWTC-4 --data-repo s3
python -m gwtc_analysis.cli catalog_statistics --catalogs GWTC-5 --data-repo zenodo
python -m gwtc_analysis.cli build_unofficial_pe --src-name GW170817
python -m gwtc_analysis.cli parameters_estimation --src-name GW231223_032836 --data-repo zenodo
python -m gwtc_analysis.cli parameters_estimation --src-name GW170817 --overlay-start 0.2 --overlay-stop 0.2 --overlay-fmax 1000 --q-start 2 --q-stop 2 --q-fmax 1000 --q-fscale log
LIGO–Virgo–KAGRA (LVK)
- LIGO Scientific Collaboration: https://www.ligo.org
- Virgo Collaboration: https://www.virgo-gw.eu
- KAGRA Collaboration: https://gwcenter.icrr.u-tokyo.ac.jp/en
Software Stack
- GWpy – detector strain handling and time-series analysis: https://gwpy.github.io
- GWOSC – public access to gravitational-wave data and metadata: https://www.gw-openscience.org
- pesummary – parameter-estimation posteriors handling and visualization: https://pesummary.readthedocs.io
- ligo.skymap – sky-localization map I/O and plotting: https://lscsoft.docs.ligo.org/ligo.skymap
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