Bayesian Inference Applied to Pulsar’s Models
The goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also fi...
Gespeichert in:
Veröffentlicht in: | International journal of modern physics. Conference series 2017, Vol.45, p.1760038 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 1760038 |
container_title | International journal of modern physics. Conference series |
container_volume | 45 |
creator | Marinho, Rubens M. de Oliveira, Heitor O. Magalhães, Nadja S. Valentim, Rodolfo Coelho, Jaziel G. Alves, Márcio E. S. |
description | The goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also find the posterior distribution and the best fit for some relevant parameters of the pulsar like the mass and the magnetic field. |
doi_str_mv | 10.1142/S2010194517600382 |
format | Article |
fullrecord | <record><control><sourceid>proquest_world</sourceid><recordid>TN_cdi_worldscientific_primary_S2010194517600382</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2150582894</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2392-a0d98eb49e80c0dc248fc7a1e087d3b8893cc0cc17752e08cd5e1313087582fc3</originalsourceid><addsrcrecordid>eNplkN1Kw0AQhRdRsNQ-gHcBr2NndhOze1mLP4WKgnodtrMTSIlJ3E2Q3vkavp5PYkpEhF7NcOZ8c-AIcY5wiZjI-bMEBDRJitkVgNLySEz2UrzXjv_tp2IWwhYAUGfapMlEzK_tjkNp62hVF-y5Jo4WbVuV7KKuiZ76Klj__fkVoofGcRXOxElhq8Cz3zkVr7c3L8v7eP14t1ou1jFJZWRswRnNm8SwBgJHMtEFZRYZdObURmujiIAIsyyVg0guZVSohnOqZUFqKi7Gv61v3nsOXb5tel8PkbnEFAaTNsngwtFFvgnBc5G3vnyzfpcj5Ptq8oNqBgZG5qPxlQtUct2VRUl_6CHyA4Y-ZAQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2150582894</pqid></control><display><type>article</type><title>Bayesian Inference Applied to Pulsar’s Models</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>World Scientific Open</source><source>World Scientific Journals</source><creator>Marinho, Rubens M. ; de Oliveira, Heitor O. ; Magalhães, Nadja S. ; Valentim, Rodolfo ; Coelho, Jaziel G. ; Alves, Márcio E. S.</creator><creatorcontrib>Marinho, Rubens M. ; de Oliveira, Heitor O. ; Magalhães, Nadja S. ; Valentim, Rodolfo ; Coelho, Jaziel G. ; Alves, Márcio E. S.</creatorcontrib><description>The goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also find the posterior distribution and the best fit for some relevant parameters of the pulsar like the mass and the magnetic field.</description><identifier>ISSN: 2010-1945</identifier><identifier>EISSN: 2010-1945</identifier><identifier>DOI: 10.1142/S2010194517600382</identifier><language>eng</language><publisher>Singapore: World Scientific Publishing Company</publisher><subject>Angular velocity ; Bayesian analysis ; Low Temperature Astrophysics, Supermassive Black Holes, Magnetars, Strange Stars, Magnetic Fields in the Universe and in Compact Stars, Dense Quark and Hadron Matter Physics and Astrophysics, Supernovae, Pulsars, Neutron Stars and White Dwarfs ; Pulsars ; Statistical inference</subject><ispartof>International journal of modern physics. Conference series, 2017, Vol.45, p.1760038</ispartof><rights>2017, The Author(s)</rights><rights>2017. The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2392-a0d98eb49e80c0dc248fc7a1e087d3b8893cc0cc17752e08cd5e1313087582fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.worldscientific.com/doi/reader/10.1142/S2010194517600382$$EPDF$$P50$$Gworldscientific$$Hfree_for_read</linktopdf><link.rule.ids>309,310,314,780,784,789,790,3213,4024,4872,23930,23931,25140,27497,27923,27924,27925,55569,55587</link.rule.ids></links><search><creatorcontrib>Marinho, Rubens M.</creatorcontrib><creatorcontrib>de Oliveira, Heitor O.</creatorcontrib><creatorcontrib>Magalhães, Nadja S.</creatorcontrib><creatorcontrib>Valentim, Rodolfo</creatorcontrib><creatorcontrib>Coelho, Jaziel G.</creatorcontrib><creatorcontrib>Alves, Márcio E. S.</creatorcontrib><title>Bayesian Inference Applied to Pulsar’s Models</title><title>International journal of modern physics. Conference series</title><description>The goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also find the posterior distribution and the best fit for some relevant parameters of the pulsar like the mass and the magnetic field.</description><subject>Angular velocity</subject><subject>Bayesian analysis</subject><subject>Low Temperature Astrophysics, Supermassive Black Holes, Magnetars, Strange Stars, Magnetic Fields in the Universe and in Compact Stars, Dense Quark and Hadron Matter Physics and Astrophysics, Supernovae, Pulsars, Neutron Stars and White Dwarfs</subject><subject>Pulsars</subject><subject>Statistical inference</subject><issn>2010-1945</issn><issn>2010-1945</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ADCHV</sourceid><recordid>eNplkN1Kw0AQhRdRsNQ-gHcBr2NndhOze1mLP4WKgnodtrMTSIlJ3E2Q3vkavp5PYkpEhF7NcOZ8c-AIcY5wiZjI-bMEBDRJitkVgNLySEz2UrzXjv_tp2IWwhYAUGfapMlEzK_tjkNp62hVF-y5Jo4WbVuV7KKuiZ76Klj__fkVoofGcRXOxElhq8Cz3zkVr7c3L8v7eP14t1ou1jFJZWRswRnNm8SwBgJHMtEFZRYZdObURmujiIAIsyyVg0guZVSohnOqZUFqKi7Gv61v3nsOXb5tel8PkbnEFAaTNsngwtFFvgnBc5G3vnyzfpcj5Ptq8oNqBgZG5qPxlQtUct2VRUl_6CHyA4Y-ZAQ</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Marinho, Rubens M.</creator><creator>de Oliveira, Heitor O.</creator><creator>Magalhães, Nadja S.</creator><creator>Valentim, Rodolfo</creator><creator>Coelho, Jaziel G.</creator><creator>Alves, Márcio E. S.</creator><general>World Scientific Publishing Company</general><general>World Scientific Publishing Co. Pte., Ltd</general><scope>ADCHV</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>2017</creationdate><title>Bayesian Inference Applied to Pulsar’s Models</title><author>Marinho, Rubens M. ; de Oliveira, Heitor O. ; Magalhães, Nadja S. ; Valentim, Rodolfo ; Coelho, Jaziel G. ; Alves, Márcio E. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2392-a0d98eb49e80c0dc248fc7a1e087d3b8893cc0cc17752e08cd5e1313087582fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Angular velocity</topic><topic>Bayesian analysis</topic><topic>Low Temperature Astrophysics, Supermassive Black Holes, Magnetars, Strange Stars, Magnetic Fields in the Universe and in Compact Stars, Dense Quark and Hadron Matter Physics and Astrophysics, Supernovae, Pulsars, Neutron Stars and White Dwarfs</topic><topic>Pulsars</topic><topic>Statistical inference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marinho, Rubens M.</creatorcontrib><creatorcontrib>de Oliveira, Heitor O.</creatorcontrib><creatorcontrib>Magalhães, Nadja S.</creatorcontrib><creatorcontrib>Valentim, Rodolfo</creatorcontrib><creatorcontrib>Coelho, Jaziel G.</creatorcontrib><creatorcontrib>Alves, Márcio E. S.</creatorcontrib><collection>World Scientific Open</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of modern physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marinho, Rubens M.</au><au>de Oliveira, Heitor O.</au><au>Magalhães, Nadja S.</au><au>Valentim, Rodolfo</au><au>Coelho, Jaziel G.</au><au>Alves, Márcio E. S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bayesian Inference Applied to Pulsar’s Models</atitle><jtitle>International journal of modern physics. Conference series</jtitle><date>2017</date><risdate>2017</risdate><volume>45</volume><spage>1760038</spage><pages>1760038-</pages><issn>2010-1945</issn><eissn>2010-1945</eissn><abstract>The goal of this work is to apply Bayesian statistics to the problem of pulsars in order to compute the Bayes factor and investigate which one among different EoS could better fit known pulsar data, regarding the rate of decrease of the angular velocity versus the angular velocity itself. We also find the posterior distribution and the best fit for some relevant parameters of the pulsar like the mass and the magnetic field.</abstract><cop>Singapore</cop><pub>World Scientific Publishing Company</pub><doi>10.1142/S2010194517600382</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2010-1945 |
ispartof | International journal of modern physics. Conference series, 2017, Vol.45, p.1760038 |
issn | 2010-1945 2010-1945 |
language | eng |
recordid | cdi_worldscientific_primary_S2010194517600382 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; World Scientific Open; World Scientific Journals |
subjects | Angular velocity Bayesian analysis Low Temperature Astrophysics, Supermassive Black Holes, Magnetars, Strange Stars, Magnetic Fields in the Universe and in Compact Stars, Dense Quark and Hadron Matter Physics and Astrophysics, Supernovae, Pulsars, Neutron Stars and White Dwarfs Pulsars Statistical inference |
title | Bayesian Inference Applied to Pulsar’s Models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T22%3A14%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_world&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Bayesian%20Inference%20Applied%20to%20Pulsar%E2%80%99s%20Models&rft.jtitle=International%20journal%20of%20modern%20physics.%20Conference%20series&rft.au=Marinho,%20Rubens%20M.&rft.date=2017&rft.volume=45&rft.spage=1760038&rft.pages=1760038-&rft.issn=2010-1945&rft.eissn=2010-1945&rft_id=info:doi/10.1142/S2010194517600382&rft_dat=%3Cproquest_world%3E2150582894%3C/proquest_world%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2150582894&rft_id=info:pmid/&rfr_iscdi=true |