| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m16d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP7W/3B7UKQL | |||
| Repository | sid.inpe.br/mtc-m19/2012/01.19.12.57 (restricted access) | |||
| Last Update | 2012:01.19.13.01.26 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m19/2012/01.19.12.57.50 | |||
| Metadata Last Update | 2018:06.05.04.25.25 (UTC) administrator | |||
| Citation Key | PetryColpKato:2011:BaCoEs | |||
| Title | Barometric Coefficients Estimation for Multi-directional Muon Detectors  | |||
| Year | 2011 | |||
| Access Date | 2024, May 05 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 43 KiB | |||
| 2. Context | ||||
| Author | 1 Petry, Adriano 2 Colpo, Miriam Pizzatto 3 Kato, Chihiro | |||
| Group | 1 CRS-CCR-INPE-MCT-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 adriano.petry@crs.inpe.br 2 miriamcolpo@msn.com | |||
| Conference Name | Conferência Latino-Americana de Geofísica Espacial, 9 (COLAGE). | |||
| Conference Location | Puntarenas, Costa rica | |||
| Date | 5 A 10 april | |||
| History (UTC) | 2012-01-19 13:01:27 :: ana.silveira -> administrator :: 2011 2018-06-05 04:25:25 :: administrator -> ana.silveira :: 2011 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Global Muon Detector Network | |||
| Abstract | The Global Muon Detector Network (GMDN) provides important information that can be used in Space Weather forecasting. Coronal mass ejections (CMEs) may cause relevant variations in galactic cosmic rays (GCRs) intensities observed at the Earth, due to the formation of strong shock that travels slower that GCRs. This variation can be observed typically up to 4 hours ahead shock arrival. The National Institute for Space Research (INPE) participates in GMDN through a Multi-directional Muon Detector (MMD), operated at the Southern Space Observatory -SSO/CRS/INPE-MCT, in São Martinho da Serra, RS, Brazil. This detector measures secondary particles (muons) intensities at different directions, that are produced by interactions of primary GCRs with Earth´s upper atmosphere. However, muon counts can be affected also by environmental factors at the time of measure, like temperature and atmospheric pressure. The latter factor isone of the most relevant, and shows inversely proportional exponential relation to muon counting, i.e., the lower the pressure at the moment of measurement, higher muon counting is observed. In order to avoid the influence of barometric pressure, it is applied on every directional channel a different correction factor to the observed raw muon counts. A set of different barometric coefficients (betas) is used to calibrate muon counts measured by a MMD. So far, these values are calculated using a non-systematic semi-manual procedure, that may provide good estimatives, but does not guarantee the best possible values are obtained. In this work we propose an algorithm to automatically estimate the best possible values for barometric coefficients on every directional channel of a MMD. The proposed method initially discards all muon counts measured on days with sunspot number different from zero, in order to try to eliminate variations on countings due to solar activity. After that, the remaining counts are grouped by temperature step, so all measurements made at similar temperatures form a group where temperature influence is minimized. For each of these groups, the variance of muon counts related to barometric pressure is calculated. A high value of variance is desired for a group to be selected for beta estimation, since a more reliable linear regression can be applied. So, the winner group of measures that will be used in beta estimation will show simultaneously minimal influence on muons counts because of solar activity and temperature, and it will present muon counts well scattered along a wide range of atmospheric pressure values. Using those selected measures, the linear least squares method is applied and the angular coefficient from the best linear fit is calculated. At this moment, an angular coefficient equals to zero would indicate independence of muon counts due to atmospheric pressure variation. The raw muon counts are then calibrated using initially an arbitrary value of beta and the angular coefficient of best linear fit is calculated again. This step is repeated iteratively towards angular coefficient reduction, using different values of beta, until the angular coefficient value is zero. This algorithm was implemented computationally using Java programming language accessing a relational database, used to store and retrieve muon counts and environmental data, through Hibernate framework. Our approach was implemented and tested on MMD at SSO, showing relevant results that, for some directional channels, leaded to significantly different values when compared to the corresponding ones obtained using previous non-systematic procedure. | |||
| Area | GEST | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRS > Barometric Coefficients Estimation... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | administrator ana.silveira | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 | |||
| Next Higher Units | 8JMKD3MGPCW/3EUFCFP | |||
| Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | ana.silveira | |||
| update | ||||