pith:KOXLGCBV
Rapid and robust simulation-based inference for kilonovae
Simulation-based inference recovers kilonova parameters rapidly from light curves without the biases that affect MCMC fits to emulator outputs.
arxiv:2605.13983 v1 · 2026-05-13 · astro-ph.IM · astro-ph.HE · hep-ph
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\usepackage{pith}
\pithnumber{KOXLGCBVTDIXT7L3WC6EGSYEY3}
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Record completeness
Claims
SBI provides a rapid alternative to MCMC for inference with emulators or approximate likelihoods that is robust to emulator uncertainty and likelihood misspecification.
The Gaussian process emulator trained on the ~1300 POSSIS simulations fully captures the non-Gaussian, correlated structure of the predictive uncertainty, and the simulations themselves are sufficiently representative of real kilonova physics.
Simulation-based inference with a Gaussian process emulator trained on ~1300 POSSIS simulations enables rapid, robust kilonova parameter estimation that avoids MCMC biases from likelihood misspecification.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:13.355377Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53aeb3083598d179fd7bb0bc434b04c6e646c5ffac1ff9b8ec913ed16d0fef40
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KOXLGCBVTDIXT7L3WC6EGSYEY3 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 53aeb3083598d179fd7bb0bc434b04c6e646c5ffac1ff9b8ec913ed16d0fef40
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.IM",
"submitted_at": "2026-05-13T18:01:32Z",
"title_canon_sha256": "8ee3665e8c1de7c900de362e45886344bc6e9a2632a4548efb2bfa6507adcfdd"
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