---
_id: '13233'
abstract:
- lang: eng
  text: We study the impact of finite-range physics on the zero-range-model analysis
    of three-body recombination in ultracold atoms. We find that temperature dependence
    of the zero-range parameters can vary from one set of measurements to another
    as it may be driven by the distribution of error bars in the experiment, and not
    by the underlying three-body physics. To study finite-temperature effects in three-body
    recombination beyond the zero-range physics, we introduce and examine a finite-range
    model based upon a hyperspherical formalism. The systematic error discussed in
    this Letter may provide a significant contribution to the error bars of measured
    three-body parameters.
acknowledgement: We thank Jan Arlt, Hans-Werner Hammer, and Karsten Riisager for useful
  discussions. M.L. acknowledges support by the European Research Council (ERC) Starting
  Grant No. 801770 (ANGULON).
article_number: L061304
article_processing_charge: No
article_type: letter_note
arxiv: 1
author:
- first_name: Sofya
  full_name: Agafonova, Sofya
  id: 09501ff6-dca7-11ea-a8ae-b3e0b9166e80
  last_name: Agafonova
  orcid: 0000-0003-0582-2946
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
- first_name: Artem
  full_name: Volosniev, Artem
  id: 37D278BC-F248-11E8-B48F-1D18A9856A87
  last_name: Volosniev
  orcid: 0000-0003-0393-5525
citation:
  ama: Agafonova S, Lemeshko M, Volosniev A. Finite-range bias in fitting three-body
    loss to the zero-range model. <i>Physical Review A</i>. 2023;107(6). doi:<a href="https://doi.org/10.1103/PhysRevA.107.L061304">10.1103/PhysRevA.107.L061304</a>
  apa: Agafonova, S., Lemeshko, M., &#38; Volosniev, A. (2023). Finite-range bias
    in fitting three-body loss to the zero-range model. <i>Physical Review A</i>.
    American Physical Society. <a href="https://doi.org/10.1103/PhysRevA.107.L061304">https://doi.org/10.1103/PhysRevA.107.L061304</a>
  chicago: Agafonova, Sofya, Mikhail Lemeshko, and Artem Volosniev. “Finite-Range
    Bias in Fitting Three-Body Loss to the Zero-Range Model.” <i>Physical Review A</i>.
    American Physical Society, 2023. <a href="https://doi.org/10.1103/PhysRevA.107.L061304">https://doi.org/10.1103/PhysRevA.107.L061304</a>.
  ieee: S. Agafonova, M. Lemeshko, and A. Volosniev, “Finite-range bias in fitting
    three-body loss to the zero-range model,” <i>Physical Review A</i>, vol. 107,
    no. 6. American Physical Society, 2023.
  ista: Agafonova S, Lemeshko M, Volosniev A. 2023. Finite-range bias in fitting three-body
    loss to the zero-range model. Physical Review A. 107(6), L061304.
  mla: Agafonova, Sofya, et al. “Finite-Range Bias in Fitting Three-Body Loss to the
    Zero-Range Model.” <i>Physical Review A</i>, vol. 107, no. 6, L061304, American
    Physical Society, 2023, doi:<a href="https://doi.org/10.1103/PhysRevA.107.L061304">10.1103/PhysRevA.107.L061304</a>.
  short: S. Agafonova, M. Lemeshko, A. Volosniev, Physical Review A 107 (2023).
corr_author: '1'
date_created: 2023-07-16T22:01:10Z
date_published: 2023-06-20T00:00:00Z
date_updated: 2025-04-14T07:48:53Z
day: '20'
department:
- _id: MiLe
- _id: OnHo
doi: 10.1103/PhysRevA.107.L061304
ec_funded: 1
external_id:
  arxiv:
  - '2302.01022'
  isi:
  - '001019748000005'
intvolume: '       107'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2302.01022
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '801770'
  name: 'Angulon: physics and applications of a new quasiparticle'
publication: Physical Review A
publication_identifier:
  eissn:
  - 2469-9934
  issn:
  - 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Finite-range bias in fitting three-body loss to the zero-range model
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 107
year: '2023'
...
