Baseline filtering and peak reconstruction for haloscope-like axion searches

Abstract Axions are well-motivated dark matter particles. Many experiments are looking for their experimental evidence. For haloscopes, the problem reduces to the identification of a peak above a noisy baseline. Its modeling, however, may be problematic. State-of-the-art analyses rely on the Savitzk...

Full description

Saved in:
Bibliographic Details
Main Authors: A. Gallo Rosso, J. Conrad, J. Jeong
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of High Energy Physics
Subjects:
Online Access:https://doi.org/10.1007/JHEP07(2025)191
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849238199461740544
author A. Gallo Rosso
J. Conrad
J. Jeong
author_facet A. Gallo Rosso
J. Conrad
J. Jeong
author_sort A. Gallo Rosso
collection DOAJ
description Abstract Axions are well-motivated dark matter particles. Many experiments are looking for their experimental evidence. For haloscopes, the problem reduces to the identification of a peak above a noisy baseline. Its modeling, however, may be problematic. State-of-the-art analyses rely on the Savitzky-Golay (SG) filtering, which is intrinsically affected by any possible over fluctuation, leading to biased results. In this paper we study the efficiency that different extensions of SG can provide in the peak reconstruction in a standard haloscope-like experiment. We show that, once the correlations among bins are taken into account, there is no appreciable difference. The standard SG remains the advisable choice because of its numerical efficiency.
format Article
id doaj-art-103a3fde9bbf453a866c8b6c538559f3
institution Kabale University
issn 1029-8479
language English
publishDate 2025-07-01
publisher SpringerOpen
record_format Article
series Journal of High Energy Physics
spelling doaj-art-103a3fde9bbf453a866c8b6c538559f32025-08-20T04:01:42ZengSpringerOpenJournal of High Energy Physics1029-84792025-07-012025711610.1007/JHEP07(2025)191Baseline filtering and peak reconstruction for haloscope-like axion searchesA. Gallo Rosso0J. Conrad1J. Jeong2Physics Department and Oskar Klein Centre, Stockholm UniversityPhysics Department and Oskar Klein Centre, Stockholm UniversityPhysics Department and Oskar Klein Centre, Stockholm UniversityAbstract Axions are well-motivated dark matter particles. Many experiments are looking for their experimental evidence. For haloscopes, the problem reduces to the identification of a peak above a noisy baseline. Its modeling, however, may be problematic. State-of-the-art analyses rely on the Savitzky-Golay (SG) filtering, which is intrinsically affected by any possible over fluctuation, leading to biased results. In this paper we study the efficiency that different extensions of SG can provide in the peak reconstruction in a standard haloscope-like experiment. We show that, once the correlations among bins are taken into account, there is no appreciable difference. The standard SG remains the advisable choice because of its numerical efficiency.https://doi.org/10.1007/JHEP07(2025)191Axions and ALPsModels for Dark Matter
spellingShingle A. Gallo Rosso
J. Conrad
J. Jeong
Baseline filtering and peak reconstruction for haloscope-like axion searches
Journal of High Energy Physics
Axions and ALPs
Models for Dark Matter
title Baseline filtering and peak reconstruction for haloscope-like axion searches
title_full Baseline filtering and peak reconstruction for haloscope-like axion searches
title_fullStr Baseline filtering and peak reconstruction for haloscope-like axion searches
title_full_unstemmed Baseline filtering and peak reconstruction for haloscope-like axion searches
title_short Baseline filtering and peak reconstruction for haloscope-like axion searches
title_sort baseline filtering and peak reconstruction for haloscope like axion searches
topic Axions and ALPs
Models for Dark Matter
url https://doi.org/10.1007/JHEP07(2025)191
work_keys_str_mv AT agallorosso baselinefilteringandpeakreconstructionforhaloscopelikeaxionsearches
AT jconrad baselinefilteringandpeakreconstructionforhaloscopelikeaxionsearches
AT jjeong baselinefilteringandpeakreconstructionforhaloscopelikeaxionsearches