Pith Number

pith:4GKB4HRF

pith:2026:4GKB4HRFLK7H467GG27IKCHF7Z

not attested not anchored not stored refs resolved

From DES to KiDS: Domain adaptation for cross-survey detection of low-surface-brightness galaxies

Agnieszka Pollo, Aidan P. Cotter, Anirban Dutta, Anna Durkalec, Antonio Vanzanella, Hareesh Thuruthipilly, Henry Willems, Junais, Katarzyna Ma{\l}ek, Krzysztof Lisiecki, Michal Vr\'abel, Miguel Figueira, Nandini Hazra, Natalia Dobrowolska, Nicola Principi Cavaterra, Patryk Matera, Pratik Dabhade, Saptarshi Pal, Subhrata Dey, Unnikrishnan Sureshkumar, William J. Pearson, Wojciech Knop

Domain adaptation allows deep learning models trained on DES data to detect low-surface-brightness galaxies in KiDS imaging.

arxiv:2605.13842 v1 · 2026-05-13 · astro-ph.GA · astro-ph.IM

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Claims

C1strongest claim

We demonstrate that domain adaptation enables robust cross-survey LSBG identification with deep learning models, providing a scalable pathway for constructing homogeneous LSBG catalogues for the LSST and Euclid era.

C2weakest assumption

That models trained on DES cutouts generalize to KiDS DR5 imaging without large systematic biases from differences in depth, seeing, or filter response, and that the detected objects are genuine LSBGs rather than contaminants.

C3one line summary

Domain adaptation with an ensemble of CNN and transformer models trained on DES detects 20,180 LSBGs and 434 UDGs in KiDS DR5, with structural parameters and environmental trends consistent with known samples.

References

300 extracted · 300 resolved · 115 Pith anchors

[1] Using mock Low Surface Brightness dwarf galaxies to probe Wide Survey detection capabilities · doi:10.48550/arxiv.2509.13163

[2] 2025, A&A, submitted (Euclid Q1 SI) · doi:10.48550/arxiv.2503.15302

[3] A systematic study of the class imbalance problem in convolutional neural net- works 2018 · doi:10.1016/j.neunet.2018.07.011

[4] Neural Networks , year=

[5] A Highly Consistent Framework for the Evolution of the Star-Forming "Main Sequence" from z~0-6 2041 · doi:10.1088/0067-0049/214/2/15

Receipt and verification

First computed	2026-05-18T02:44:09.477740Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e1941e1e255abe7e7be636be8508e5fe5117c6a8b33319b5a3782af9dde54741

Aliases

arxiv: 2605.13842 · arxiv_version: 2605.13842v1 · doi: 10.48550/arxiv.2605.13842 · pith_short_12: 4GKB4HRFLK7H · pith_short_16: 4GKB4HRFLK7H467G · pith_short_8: 4GKB4HRF

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4GKB4HRFLK7H467GG27IKCHF7Z \
  | 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: e1941e1e255abe7e7be636be8508e5fe5117c6a8b33319b5a3782af9dde54741

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "79d8acb7da86ed40722a552467bf5cfeab82d60b698d41630347a8be0158676a",
    "cross_cats_sorted": [
      "astro-ph.IM"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.GA",
    "submitted_at": "2026-05-13T17:58:55Z",
    "title_canon_sha256": "0e38751806bf3b8e3037acc669c8522b7a262df59fcc32e5027210c4c2007526"
  },
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  "source": {
    "id": "2605.13842",
    "kind": "arxiv",
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  }
}