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Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter
A bstract The signal to noise ratio efficiency ϵ SNR in axion dark matter searches has been estimated using large-statistic simulation data reflecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even wi...
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Published in: | The journal of high energy physics 2023-11, Vol.2023 (11), p.115-15, Article 115 |
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container_title | The journal of high energy physics |
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creator | Yi, A. K. Ahn, S. Ko, B. R. Semertzidis, Y. K. |
description | A
bstract
The signal to noise ratio efficiency
ϵ
SNR
in axion dark matter searches has been estimated using large-statistic simulation data reflecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even with the assistance of powerful computing resources. Employing a Savitzky-Golay filter for background subtraction, in this work, we estimated a fully analytical
ϵ
SNR
without relying on large-statistic simulation data, but only with an arbitrary axion mass and the relevant signal shape information. Hence, our work can provide
ϵ
SNR
using minimal computing time and resources prior to the acquisition of experimental data, without the detailed information that has to be obtained from real experiments. Axion haloscope searches have been observing the coincidence that the frequency independent scale factor
ξ
is approximately consistent with the
ϵ
SNR
. This was confirmed analytically in this work, when the window length of the Savitzky-Golay filter is reasonably wide enough, i.e., at least 5 times the signal window. |
doi_str_mv | 10.1007/JHEP11(2023)115 |
format | article |
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bstract
The signal to noise ratio efficiency
ϵ
SNR
in axion dark matter searches has been estimated using large-statistic simulation data reflecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even with the assistance of powerful computing resources. Employing a Savitzky-Golay filter for background subtraction, in this work, we estimated a fully analytical
ϵ
SNR
without relying on large-statistic simulation data, but only with an arbitrary axion mass and the relevant signal shape information. Hence, our work can provide
ϵ
SNR
using minimal computing time and resources prior to the acquisition of experimental data, without the detailed information that has to be obtained from real experiments. Axion haloscope searches have been observing the coincidence that the frequency independent scale factor
ξ
is approximately consistent with the
ϵ
SNR
. This was confirmed analytically in this work, when the window length of the Savitzky-Golay filter is reasonably wide enough, i.e., at least 5 times the signal window.</description><identifier>ISSN: 1029-8479</identifier><identifier>EISSN: 1029-8479</identifier><identifier>DOI: 10.1007/JHEP11(2023)115</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Axions and ALPs ; Classical and Quantum Gravitation ; Computational efficiency ; Computing time ; Dark matter ; Elementary Particles ; High energy physics ; Hypothetical particles ; Mathematical analysis ; Models for Dark Matter ; Physics ; Physics and Astronomy ; PHYSICS OF ELEMENTARY PARTICLES AND FIELDS ; Quantum Field Theories ; Quantum Field Theory ; Quantum Physics ; Regular Article - Theoretical Physics ; Relativity Theory ; Searching ; Signal to noise ratio ; String Theory</subject><ispartof>The journal of high energy physics, 2023-11, Vol.2023 (11), p.115-15, Article 115</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c398t-c40295feba6351188690c99f1bfaf5831d686254d113e68dc96a3f034323a3d43</cites><orcidid>0000-0002-4591-5269 ; 0000000245915269</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2891910495/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2891910495?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,25731,27901,27902,36989,44566,74869</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/2327090$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Yi, A. K.</creatorcontrib><creatorcontrib>Ahn, S.</creatorcontrib><creatorcontrib>Ko, B. R.</creatorcontrib><creatorcontrib>Semertzidis, Y. K.</creatorcontrib><creatorcontrib>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</creatorcontrib><title>Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter</title><title>The journal of high energy physics</title><addtitle>J. High Energ. Phys</addtitle><description>A
bstract
The signal to noise ratio efficiency
ϵ
SNR
in axion dark matter searches has been estimated using large-statistic simulation data reflecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even with the assistance of powerful computing resources. Employing a Savitzky-Golay filter for background subtraction, in this work, we estimated a fully analytical
ϵ
SNR
without relying on large-statistic simulation data, but only with an arbitrary axion mass and the relevant signal shape information. Hence, our work can provide
ϵ
SNR
using minimal computing time and resources prior to the acquisition of experimental data, without the detailed information that has to be obtained from real experiments. Axion haloscope searches have been observing the coincidence that the frequency independent scale factor
ξ
is approximately consistent with the
ϵ
SNR
. This was confirmed analytically in this work, when the window length of the Savitzky-Golay filter is reasonably wide enough, i.e., at least 5 times the signal window.</description><subject>Axions and ALPs</subject><subject>Classical and Quantum Gravitation</subject><subject>Computational efficiency</subject><subject>Computing time</subject><subject>Dark matter</subject><subject>Elementary Particles</subject><subject>High energy physics</subject><subject>Hypothetical particles</subject><subject>Mathematical analysis</subject><subject>Models for Dark Matter</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</subject><subject>Quantum Field Theories</subject><subject>Quantum Field Theory</subject><subject>Quantum Physics</subject><subject>Regular Article - Theoretical Physics</subject><subject>Relativity Theory</subject><subject>Searching</subject><subject>Signal to noise ratio</subject><subject>String Theory</subject><issn>1029-8479</issn><issn>1029-8479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kUFv1DAQhSMEEqVw5mrBBQ6hHttJ7GNVlbaoEkjA2Zp1xrvehrjYXkT49XgJAi6cbHm-9zR-r2meA38DnA9n764vPwC8ElzI1wDdg-YEuDCtVoN5-M_9cfMk5z3n0IHhJ81yPuO0lOBwYpRL-IIlxJlFz8qOWA7bOmYlsjmGTCwdp4y8Dy7Q7BYWZobfj4IR0x2r4kKJZcLkdpTZIYd5y5B9xG-h_Lhb2qs44cJ8mCr2tHnkccr07Pd52nx-e_np4rq9fX91c3F-2zppdGmdqpt3njbYyw5A695wZ4yHjUffaQljr3vRqRFAUq9HZ3qUnkslhUQ5Knna3Ky-Y8S9vU_1i2mxEYP99RDT1mKqAUxkfb8xYlDOg1NKjp0m6d2GBKFUOIx99XqxesUalc0uFHI7F-eZXLFCioEbXqGXK3Sf4tdDDdXu4yHVHLMV2oABrkxXqbOVcinmnMj_WQ24PRZq10LtsVBbC60KvipyJectpb--_5P8BG59oqE</recordid><startdate>20231120</startdate><enddate>20231120</enddate><creator>Yi, A. K.</creator><creator>Ahn, S.</creator><creator>Ko, B. R.</creator><creator>Semertzidis, Y. K.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Nature</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4591-5269</orcidid><orcidid>https://orcid.org/0000000245915269</orcidid></search><sort><creationdate>20231120</creationdate><title>Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter</title><author>Yi, A. K. ; Ahn, S. ; Ko, B. R. ; Semertzidis, Y. K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-c40295feba6351188690c99f1bfaf5831d686254d113e68dc96a3f034323a3d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Axions and ALPs</topic><topic>Classical and Quantum Gravitation</topic><topic>Computational efficiency</topic><topic>Computing time</topic><topic>Dark matter</topic><topic>Elementary Particles</topic><topic>High energy physics</topic><topic>Hypothetical particles</topic><topic>Mathematical analysis</topic><topic>Models for Dark Matter</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>PHYSICS OF ELEMENTARY PARTICLES AND FIELDS</topic><topic>Quantum Field Theories</topic><topic>Quantum Field Theory</topic><topic>Quantum Physics</topic><topic>Regular Article - Theoretical Physics</topic><topic>Relativity Theory</topic><topic>Searching</topic><topic>Signal to noise ratio</topic><topic>String Theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yi, A. K.</creatorcontrib><creatorcontrib>Ahn, S.</creatorcontrib><creatorcontrib>Ko, B. R.</creatorcontrib><creatorcontrib>Semertzidis, Y. K.</creatorcontrib><creatorcontrib>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</creatorcontrib><collection>Springer Open Access</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The journal of high energy physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yi, A. K.</au><au>Ahn, S.</au><au>Ko, B. R.</au><au>Semertzidis, Y. K.</au><aucorp>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter</atitle><jtitle>The journal of high energy physics</jtitle><stitle>J. High Energ. Phys</stitle><date>2023-11-20</date><risdate>2023</risdate><volume>2023</volume><issue>11</issue><spage>115</spage><epage>15</epage><pages>115-15</pages><artnum>115</artnum><issn>1029-8479</issn><eissn>1029-8479</eissn><abstract>A
bstract
The signal to noise ratio efficiency
ϵ
SNR
in axion dark matter searches has been estimated using large-statistic simulation data reflecting the background information and the expected axion signal power obtained from a real experiment. This usually requires a lot of computing time even with the assistance of powerful computing resources. Employing a Savitzky-Golay filter for background subtraction, in this work, we estimated a fully analytical
ϵ
SNR
without relying on large-statistic simulation data, but only with an arbitrary axion mass and the relevant signal shape information. Hence, our work can provide
ϵ
SNR
using minimal computing time and resources prior to the acquisition of experimental data, without the detailed information that has to be obtained from real experiments. Axion haloscope searches have been observing the coincidence that the frequency independent scale factor
ξ
is approximately consistent with the
ϵ
SNR
. This was confirmed analytically in this work, when the window length of the Savitzky-Golay filter is reasonably wide enough, i.e., at least 5 times the signal window.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/JHEP11(2023)115</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4591-5269</orcidid><orcidid>https://orcid.org/0000000245915269</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Axions and ALPs Classical and Quantum Gravitation Computational efficiency Computing time Dark matter Elementary Particles High energy physics Hypothetical particles Mathematical analysis Models for Dark Matter Physics Physics and Astronomy PHYSICS OF ELEMENTARY PARTICLES AND FIELDS Quantum Field Theories Quantum Field Theory Quantum Physics Regular Article - Theoretical Physics Relativity Theory Searching Signal to noise ratio String Theory |
title | Analytical estimation of the signal to noise ratio efficiency in axion dark matter searches using a Savitzky-Golay filter |
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