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Enregistrement W937627311

Development and implementation of the trigger system for the INO-ICAL detector

2016· dissertation· en· W937627311 sur OpenAlexaboutno aff
Sudeshna Dasgupta

Notice bibliographique

RevueINFLIBNET · 2016
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueNeutrino Physics Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNeutrinoPhysicsNeutrino oscillationNuclear physicsNeutrino detectorSolar neutrinoParticle physicsSolar neutrino problemObservatoryMuonMeasurements of neutrino speedAstronomy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The elusive neutrino has always perplexed the scientific community. The desperate attempt by Pauli in postulating its existence, followed by experimental discovery, to save the laws of conservation of energy and momentum in nuclear -decay, bear testimony to this fact. Subse- quent experiments like, Homestake, Sudbury Neutrino Observatory (SNO), Super-Kamiokande and KamLAND, have studied neutrinos produced in the Sun, those originating from cosmic ray interactions in the Earth’s atmosphere and also those generated in nuclear reactors. Results from such pioneering experiments provide concrete evidence in support of neutrino mass through the detection of neutrino oscil- lations. This serves as the first indication of the Physics beyond the Standard Model. Neutrino has also emerged as an excellent probe in comprehending the underlying laws of nature in particle physics, nuclear physics, astronomy and cosmology. As a natural consequence, further experiments, armed with technological superiority, are being pursued world-wide to explore this particle of interest. In this context, a multi-institutional venture, called the India-based Neutrino Observatory (INO), has been initiated in India to participate in this exciting area of experimental particle physics by building a world-class underground facility for studying neutrinos. The INO collaboration has proposed to build a 50 kton magnetized Iron Calorimeter (ICAL) detector to study atmospheric neutrinos and to make precision measurements of the neutrino oscillation parame- ters. The detector will mostly look for muon neutrino induced charged current interactions using magnetized iron as the target mass and around 28 , 800 Resistive Plate Chambers (RPCs) as sensitive detector elements. A magnetic field of 1 . 3 T will be used to discriminate be- tween neutrino and anti-neutrino interactions, which equips the ICAL detector with the unique capability of determining the neutrino mass hierarchy. The detector is also envisaged as a future far detector for a neutrino factory beam. The extremely low rate of neutrino interactions necessitates the trigger scheme for such an experiment to achieve an optimization of the detection efficiency of the desired events and the chance trigger rates. It should also ensure feasibility of hardware implementation considering the vast volume of the detector. The development, vali- dation and implementation of the ICAL trigger system, which satisfy these criteria, are documented in this thesis. The design of the trigger scheme for the ICAL detector consists of a distributed and hierarchical architecture. The detector module is logically sub-divided into identical segments for the purpose of trigger generation. The segment dimensions are chosen considering the expected hit pattern of the events of interest, the associated chance trigger rates and the feasibility of implementation. Pre-trigger signals produced at the RPC level are combined together to generate a local trigger at the segment level, which in turn initiates a global trigger signal to invoke the data acquisition system to record the event data. The associated chance trigger rates have been calculated for different segment dimensions and for different sets of trigger criteria and are found to be negligible for an optimal combination of the trigger parameters. A simulation framework is developed to estimate the trigger efficiency of the scheme for the events of interest for the ICAL detector. The results ensure that substantially high detection efficiency can be obtained for the desired events under the proposed trigger scheme. The hardware implementation of the trigger scheme is initiated by designing an FPGA-based trigger module using the look-up table based technique. The module has delivered satisfactory performance in the prototype detector with negligible spurious trigger rate and trig- ger inefficiency. This ensures that such technique can be successfully and reliably employed in designing the ICAL trigger system. The overall layout for the implementation of the proposed trigger scheme for the ICAL detector has been devised and the trigger latency is estimated. A study is undertaken to ascertain the reliability of LVDS standard in transmitting the trigger signals for the ICAL detector. A technique for calibrating the delay offsets associated with the return- path of the trigger signal is proposed. The designs of the trigger boards are conceived and appropriate design components have been selected. The work reported here has thus facilitated the evolution of the ICAL trigger system from the conceptual stage up to the board-level design. The thesis is proposed to comprise six chapters. Chapter 1 contains a brief history of neutrino and its salient features. The major experi- ments that have been carried out for the detection and understanding of this fundamental particle are reviewed. The physics potential of the ICAL detector, proposed to be built by the INO collaboration, is sum- marized. Chapter 2 describes the architecture of the proposed trigger scheme for the ICAL detector and its validation results. The design of an FPGA-based trigger module for the ICAL prototype detector and its performance validation are discussed in Chapter 3 . Chapter 4 illustrates the overall layout for the hardware implementation of the trigger system for the ICAL detector. Chapter 5 deals with the con- ceptual designs of the trigger boards proposed to constitute the ICAL trigger system. The work is finally summarized and the future scope is discussed in Chapter 6 . The publications produced as the outcome of this work, which include peer-reviewed research articles, conference proceedings and technical notes, are listed in Appendix A.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,909
Score d'incertitude au seuil0,294

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,333
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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