pith:3ZHGHB4X
Exposure-averaged Gaussian Processes for Combining Overlapping Datasets
Exposure-averaged Gaussian processes enable combining overlapping stellar datasets with different exposure times.
arxiv:2601.02462 v2 · 2026-01-05 · astro-ph.IM · astro-ph.EP · astro-ph.SR
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Claims
We present a GP framework that accounts for exposure times by computing integrated forms of the instantaneous kernels typically used. These functions allow one to predict the true latent oscillation signals and the exposure-binned version expected by each instrument.
That the stellar variability is adequately described by the chosen instantaneous GP kernels (e.g., damped driven SHO) and that relative instrumental drifts can be modeled as separable additive components without significant leakage into the stellar signal.
Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
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| First computed | 2026-05-18T03:10:11.426018Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
de4e63879733cf3dc3db8818d268ad07c12c0c9f0c731790bae01952d6440207
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/3ZHGHB4XGPHT3Q63RAMNE2FNA7 \
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Canonical record JSON
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