Update README.md

README.md

@@ -12,7 +12,56 @@ We provide standardized tasks, data splits, and evaluation protocols for denoisi
 ## LIGO
 
 ### LIGO Dataset Field Description
+The LIGO dataset consists of training, validation, and test samples. Each "sample" is defined as a set of two, 64s-long strain data from the gravitational wave detectors, plus a complete description of the source parameters of the binary neutron stars. For each strain data, two additional time series are provided, one containing only the injected signal and the other only the background. Both are whitened using the same whitening filter that is applied to the strain data.
 
+For training and validation, the dataset is provided in signal-to-noise ratio (SNR) bins of 5, from 5 to 50, resulting in 9 bins total ([5, 10], [10, 15], ..., [45, 50]). Each SNR bin contains 50,000 gravitational wave samples, split into 40,000 training samples and 10,000 validation samples. The dataset is generated according to a uniform SNR prior distribution per bin.
+
+For testing, the dataset is provided in a single SNR bin from 5 to 50, following an astrophysically motivated SNR prior that is proportional to SNR^(-3). A total of 100,000 test samples are provided.
+
+For all training, validation, and test samples, the injected signal waveforms are generated from the parameters that are drawn from the priors below. Masses are in solar masses, distance in Mpc, and angles in radians.
+
+| Parameter | Distribution | Range |
+|-----------|--------------|-------|
+| Primary mass[^1] | Triangular | [1.0, 2.5], mode = 2.5 |
+| Secondary mass | Uniform | [1.0, primary mass] |
+| Primary spin magnitude | Uniform | [0, 0.4] |
+| Secondary spin magnitude | Uniform | [0, 0.4] |
+| Primary spin tilt | Sine | [-1, 1] |
+| Secondary spin tilt | Sine | [-1, 1] |
+| Spin azimuthal separation | Uniform | [0, 2π] |
+| Precession cone azimuth | Uniform | [0, 2π] |
+| Comoving distance | Power law (α = 2) | [100, 1000] |
+| Coalescence phase | Uniform | [0, 2π] |
+| Inclination | Sine | [-1, 1] |
+
+[^1]: Component masses are sorted such that m_2 ≤ m_1; the prior on m_2 is therefore conditional on the sampled value of m_1.
+
+The dataset is provided in hdf5 format. Training and validation dataset files contain 50 samples each (~ 40 MB/file). All train samples are contained in a single file (~ 80 GB). Each hdf5 file includes the following
+
+| Parameter | Type / Size | Description |
+|-----------|-------------|-------------|
+| `whitened_bkg` | size=(2, 16384), dtype=float64 | Whitened detector background (no injection) |
+| `whitened_signal` | size=(2, 16384), dtype=float64 | Whitened injected waveform alone |
+| `whitened_injected` | size=(2, 16384), dtype=float64 | Whitened detector background with injected signal |
+| `mass_1` | dtype=float32 | Primary mass, in solar masses |
+| `mass_2` | dtype=float32 | Secondary mass, in solar masses |
+| `chirp_mass` | dtype=float32 | Chirp mass M_c = (m_1 * m_2)^(3/5) / (m_1 + m_2)^(1/5), in solar masses |
+| `mass_ratio` | dtype=float32 | Mass ratio q = m_2 / m_1 |
+| `a_1` | dtype=float32 | Primary spin magnitude (dimensionless) |
+| `a_2` | dtype=float32 | Secondary spin magnitude (dimensionless) |
+| `tilt_1` | dtype=float32 | Primary spin tilt angle, in radians |
+| `tilt_2` | dtype=float32 | Secondary spin tilt angle, in radians |
+| `phi_12` | dtype=float32 | Azimuthal angle between component spins, in radians |
+| `phi_jl` | dtype=float32 | Azimuthal precession-cone angle, in radians |
+| `s1x`, `s1y`, `s1z` | dtype=float32 | Cartesian components of the primary spin vector |
+| `s2x`, `s2y`, `s2z` | dtype=float32 | Cartesian components of the secondary spin vector |
+| `distance` | dtype=float32 | Comoving distance to the source, in Mpc |
+| `phi` | dtype=float32 | Right ascension of the source, in radians |
+| `dec` | dtype=float32 | Declination of the source, in radians |
+| `inclination` | dtype=float32 | Inclination angle of the binary, in radians |
+| `psi` | dtype=float32 | Polarization angle, in radians |
+| `phic` | dtype=float32 | Coalescence phase, in radians |
+| `snr` | dtype=float32 | Network signal-to-noise ratio of the injection |
 
 ## TESS
 The TESS dataset is broken into training, validation and test data, which are identically constructed.