Pith Number

pith:SENFWQXB

pith:2026:SENFWQXB56BSQ33GMDU36X65SZ

not attested not anchored not stored refs resolved

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey

Haitao Miao, Nan Li, Run Wen, Xian-Min Meng, Xingchen Zhou, Xin Zhang, Yan Gong

A deep learning model extracts galaxy redshifts directly from 2D slitless spectroscopic images while estimating uncertainties.

arxiv:2605.16762 v1 · 2026-05-16 · astro-ph.IM · astro-ph.CO

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\usepackage{pith}
\pithnumber{SENFWQXB56BSQ33GMDU36X65SZ}

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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

Our model can achieve a precision σ_NMAD=0.0104 and mean uncertainty ⟨E/(1+z_true)⟩=0.0155 for sources with SNR_GI≥1. For sources with SNR_GI higher than 3.0, 5.0 and 10.0, σ_NMAD can achieve 0.0047, 0.0037 and 0.0024 respectively, matching the redshift precision requirements for studies such as BAO using the CSST slitless spectroscopic surveys.

C2weakest assumption

The mock dataset built from HSC-SSP PDR3 images and DESI DR1 SEDs faithfully reproduces the noise, point-spread function, and wavelength calibration properties of actual CSST GV and GI band observations (abstract, paragraph describing dataset construction).

C3one line summary

A Bayesian CNN maps 2D slitless spectral images to redshift estimates with NMAD precision 0.0104 for SNR_GI >=1 and better for brighter sources, while remaining robust to wavelength calibration errors via spatial augmentations.

References

42 extracted · 42 resolved · 12 Pith anchors

[1] 2018, PASJ, 70, S4, doi: 10.1093/pasj/psx066 2018 · doi:10.1093/pasj/psx066

[2] 2022, PASJ, 74, 247, doi: 10.1093/pasj/psab122 2022 · doi:10.1093/pasj/psab122

[3] 2013, Living Reviews in Relativity, 16, 6, doi: 10.12942/lrr-2013-6 2013 · doi:10.12942/lrr-2013-6

[4] Baryon Acoustic Oscillations 2010 · doi:10.48550/arxiv.0910.5224

[5] R., Lin, H., Lupton, R 2003 · doi:10.1086/344761

Receipt and verification

First computed	2026-05-20T00:03:20.532085Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

911a5b42e1ef83286f6660e9bf5fdd9677ae9e65abcde7096ebbde03f860d161

Aliases

arxiv: 2605.16762 · arxiv_version: 2605.16762v1 · doi: 10.48550/arxiv.2605.16762 · pith_short_12: SENFWQXB56BS · pith_short_16: SENFWQXB56BSQ33G · pith_short_8: SENFWQXB

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SENFWQXB56BSQ33GMDU36X65SZ \
  | 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: 911a5b42e1ef83286f6660e9bf5fdd9677ae9e65abcde7096ebbde03f860d161

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "49aa2bc977e49d73f9b18a075fa095a2f5480c2c938cceb7236d68955d593829",
    "cross_cats_sorted": [
      "astro-ph.CO"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-05-16T02:23:24Z",
    "title_canon_sha256": "7890edc39d204082521b4b5dc19e7a316f74bfa455b50b76901bdc19bf4a320b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16762",
    "kind": "arxiv",
    "version": 1
  }
}