Neutron stars and the determination of the dense matter equation of state
Notice bibliographique
Résumé
A physical understanding of the behaviour of cold ultra-dense matter -at and above nuclear density -can only be achieved by the study of neutron stars.The surface thermal emission from neutron stars in quiescent low-mass X-ray binaries (qLMXBs) inside globular clusters has proven useful for that purpose.These systems rely on the relatively precisely measured distances to globular clusters to produce measurements of the radiation radius of neutron stars R ∞ , the radius as seen from infinite distance.Such measurements can be compared to the Mass-Radius relation resulting from proposed dense matter equations of state.Individually, the R ∞ measurements from qLMXBs do not produce stringent constraints on the dense matter equation of state.However, when several of these qLMXBs spectra are combined in a coherent manner, they can lead to useful constraints on the dense matter equation of state.This work first presents the discovery of a new spectrally identified qLMXB inside a globular cluster, and the spectral analysis of high signal-to-noise ratio data from another qLMXB, leading to a precise R ∞ measurement.Then, spectra from multiple qLMXBs hosted in globular clusters are combined in a simultaneous analysis using a Markov-Chain Monte-Carlo approach, placing new constraints on the dense matter equation of state.This method and the Bayesian approach developed in this analysis permits including all quantifiable sources of uncertainty (e.g., in the distance, the hydrogen column density) to produce the most conservative constraints on the dense matter equation of state.Finally, this Bayesian approach is modified and adapted to quantitatively reject or confirm a selection of proposed equations of state.xi First, I would like to thank my supervisor, Bob Rutledge.I am truly grateful for his availability, his patience, and his many pieces of advice about research, career choices, or other aspects.His resolute and rigorous approach toward research surely guided me on the way to become a better scientist over the past seven years.During these years at McGill, I have had the chance to interact on countless occasions with faculty members of the physics department.I am thinking in particular about Ken Ragan, with whom I shared many discussions.I would also thank Vicky Kaspi for her support of the astronomy outreach activities at the Physics department.I have a particular thought for friends and colleagues of AstroMcGill.For more than two years now, we have shared our passion of astronomy with kids of all ages and adults alike.It was not always easy, but it was surely rewarding.Friends and colleagues, at McGill or those I met during conferences, also ought to be acknowledged, for the many useful and less useful discussions about neutron stars, research, science in general, and many other topics.This statement is general enough that I am not forgetting anyone.Last, but definitely not the least, I would like to acknowledge the Gouvernment of Canada / Gouvernement du Canada, which provided support during my PhD via the Vanier Canada Graduate Scholarship program.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».