pith. sign in
Pith Number

pith:DSDUZMT5

pith:2026:DSDUZMT5HNLURD7PJMGZOAJBFL
not attested not anchored not stored refs resolved

Focal plane wavefront control with model-based reinforcement learning

Gilles Orban De Xivry, Iremsu Taskin, Jalo Nousiainen, Markus Kasper, Olivier Absil

A model-based reinforcement learning algorithm corrects non-common-path aberrations from focal-plane images alone.

arxiv:2604.00993 v1 · 2026-04-01 · astro-ph.IM · astro-ph.EP · cs.LG · cs.RO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DSDUZMT5HNLURD7PJMGZOAJBFL}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Simulations show that PO4NCPA robustly compensates static and dynamic NCPAs. In static cases, it achieves near-optimal focal-plane light suppression with a coronagraph and near-optimal Strehl without one. With dynamic NCPA, it matches the performance of the modal least-squares reconstruction combined with a 1-step delay integrator.

C2weakest assumption

The numerical simulations of static NCPA on a ground-based telescope and water-vapor-induced dynamic NCPA accurately capture the statistics, noise properties, and temporal behavior that will be encountered on real ELT-class instruments with a vector vortex coronagraph.

C3one line summary

PO4NCPA applies model-based RL to focal-plane images via sequential phase diversity to correct static and dynamic NCPAs, achieving near-optimal suppression in simulations for coronagraphic and non-coronagraphic cases.

References

54 extracted · 54 resolved · 1 Pith anchors

[1] Absil, O., Delacroix, C., Orban de Xivry, G., et al. 2022, in Proc. SPIE Conf., V ol. 12185, SPIE, 298–310 2022
[2] Absil, O., Mawet, D., Karlsson, M., et al. 2016, in Proc. SPIE Conf., V ol. 9908, 99080Q 2016
[3] Angel, J. R. P., Wizinowich, P., Lloyd-Hart, M., & Sandler, D. 1990, Nat, 348, 221 1990
[4] P., Vievard, S., Wilby, M 2020
[5] Bottom, M., Walker, S. A. U., Cunnyngham, I., Guthery, C., & Delorme, J.-R. 2023, arXiv e-prints, arXiv:2312.06806 2023

Formal links

1 machine-checked theorem link

Receipt and verification
First computed 2026-05-27T14:06:42.972831Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1c874cb27d3b57488fef4b0d9701212ae7c6148cf976f067e9d5d72d006d2134

Aliases

arxiv: 2604.00993 · arxiv_version: 2604.00993v1 · doi: 10.48550/arxiv.2604.00993 · pith_short_12: DSDUZMT5HNLU · pith_short_16: DSDUZMT5HNLURD7P · pith_short_8: DSDUZMT5
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DSDUZMT5HNLURD7PJMGZOAJBFL \
  | 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: 1c874cb27d3b57488fef4b0d9701212ae7c6148cf976f067e9d5d72d006d2134
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "ac0ce9800f53d2eb67b4faf4e852da96c40ffa70abfa5db2937d0ff0f904e298",
    "cross_cats_sorted": [
      "astro-ph.EP",
      "cs.LG",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-04-01T14:55:15Z",
    "title_canon_sha256": "a78214afcf7a7d8c053a7d89bd91b6e5c9a1885dcf959ab36474f5a8144dc93a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.00993",
    "kind": "arxiv",
    "version": 1
  }
}