pith. sign in
Pith Number

pith:KUUZFYIY

pith:2026:KUUZFYIYR2XUB5WWGXWLLGJEE5
not attested not anchored not stored refs resolved

The Nova Synthetic Data Base: A Principal Component/AI Analysis of Novae Synoptic Spectra

Bruno C. Santos, Larissa Takeda, Marcos P. Diaz

A database of synthetic nova spectra paired with principal component analysis yields robust predictions of physical properties from limited, noisy observations.

arxiv:2605.15432 v1 · 2026-05-14 · astro-ph.SR · astro-ph.IM

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KUUZFYIYR2XUB5WWGXWLLGJEE5}

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

The prediction capability of the method is high and robust to data noise, establishing a proof of concept for the use of model grids combined with physically controlled AI as a tool to interpret novae observations.

C2weakest assumption

The 3D photoionization models used to generate the synthetic spectra accurately reproduce the spectral features of real classical nova shells across the explored parameter space of ejecta mass, composition, temperature, luminosity, and post-eruption age.

C3one line summary

Presents the first public synthetic spectra database for novae and demonstrates a PCA/AI framework for retrieving physical properties from limited spectral data as a proof of concept for future surveys.

References

29 extracted · 29 resolved · 4 Pith anchors

[1] Abraham, Z., Takeda, L., Beaklini, P. P. B., et al. 2024, MNRAS, 527, 7482, doi: 10.1093/mnras/stad3647 2024 · doi:10.1093/mnras/stad3647
[2] Kjaergaard et al., „Superconducting Qubits: Current State of Play”, Annu 2009 · doi:10.1146/annurev
[3] 2024, A&A, 691, A142, doi: 10.1051/0004-6361/202451321 2024 · doi:10.1051/0004-6361/202451321
[4] Random forests 2001 · doi:10.1023/a:1010933404324
[5] Devore, J. L. 2011, Probability and Statistics for Engineering and the Sciences, 8th edn. (Brooks/Cole, Cengage Learning). https://www.cengage.com/c/ probability-and-statistics-for-engineering-and-the 2011

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:00:58.365988Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

552992e1188eaf40f6d635ecb599242777cb922689defa1307e3bc5937a7f6a4

Aliases

arxiv: 2605.15432 · arxiv_version: 2605.15432v1 · doi: 10.48550/arxiv.2605.15432 · pith_short_12: KUUZFYIYR2XU · pith_short_16: KUUZFYIYR2XUB5WW · pith_short_8: KUUZFYIY
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KUUZFYIYR2XUB5WWGXWLLGJEE5 \
  | 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: 552992e1188eaf40f6d635ecb599242777cb922689defa1307e3bc5937a7f6a4
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "aaa563297bdb792c4d7f1a29d6d8de6c2f66a176a092f85e69b09a055acda947",
    "cross_cats_sorted": [
      "astro-ph.IM"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.SR",
    "submitted_at": "2026-05-14T21:25:52Z",
    "title_canon_sha256": "ab0638c49743daf495edbef7a7af9dc83c6fc1a72df4def6ccda3454b6051af2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15432",
    "kind": "arxiv",
    "version": 1
  }
}