A Multiwavelength Study of the Intracluster Medium and the Characterization of the Multiwavelength Sub/millimeter Inductance Camera

The first part of this thesis combines Bolocam observations of the thermal Sunyaev-Zel’dovich (SZ) effect at 140 GHz with X-ray observations from Chandra, strong lensing data from the Hubble Space Telescope (HST), and weak lensing data from HST and Subaru to constrain parametric models for the distribution of dark and baryonic matter in a sample of six massive, dynamically relaxed galaxy clusters. For five of the six clusters, the full multiwavelength dataset is well described by a relatively simple model that assumes spherical symmetry, hydrostatic equilibrium, and entirely thermal pressure support. The multiwavelength analysis yields considerably better constraints on the total mass and concentration compared to analysis of any one dataset individually. The subsample of five galaxy clusters is used to place an upper limit on the fraction of pressure support in the intracluster medium (ICM) due to nonthermal processes, such as turbulent and bulk flow of the gas. We constrain the nonthermal pressure fraction at r500c to be less than 0.11 at 95% confidence, where r500c refers to radius at which the average enclosed density is 500 times the critical density of the Universe. This is in tension with state-of-the-art hydrodynamical simulations, which predict a nonthermal pressure fraction of approximately 0.25 at r500c for the clusters in this sample.

The second part of this thesis focuses on the characterization of the Multiwavelength Sub/millimeter Inductance Camera (MUSIC), a photometric imaging camera that was commissioned at the Caltech Submillimeter Observatory (CSO) in 2012. MUSIC is designed to have a 14 arcminute, diffraction-limited field of view populated with 576 spatial pixels that are simultaneously sensitive to four bands at 150, 220, 290, and 350 GHz. It is well-suited for studies of dusty star forming galaxies, galaxy clusters via the SZ Effect, and galactic star formation. MUSIC employs a number of novel detector technologies: broadband phased-arrays of slot dipole antennas for beam formation, on-chip lumped element filters for band definition, and Microwave Kinetic Inductance Detectors (MKIDs) for transduction of incoming light to electric signal. MKIDs are superconducting micro-resonators coupled to a feedline. Incoming light breaks apart Cooper pairs in the superconductor, causing a change in the quality factor and frequency of the resonator. This is read out as amplitude and phase modulation of a microwave probe signal centered on the resonant frequency. By tuning each resonator to a slightly different frequency and sending out a superposition of probe signals, hundreds of detectors can be read out on a single feedline. This natural capability for large scale, frequency domain multiplexing combined with relatively simple fabrication makes MKIDs a promising low temperature detector for future kilopixel sub/millimeter instruments. There is also considerable interest in using MKIDs for optical through near-infrared spectrophotometry due to their fast microsecond response time and modest energy resolution. In order to optimize the MKID design to obtain suitable performance for any particular application, it is critical to have a well-understood physical model for the detectors and the sources of noise to which they are susceptible. MUSIC has collected many hours of on-sky data with over 1000 MKIDs. This work studies the performance of the detectors in the context of one such physical model. Chapter 2 describes the theoretical model for the responsivity and noise of MKIDs. Chapter 3 outlines the set of measurements used to calibrate this model for the MUSIC detectors. Chapter 4 presents the resulting estimates of the spectral response, optical efficiency, and on-sky loading. The measured detector response to Uranus is compared to the calibrated model prediction in order to determine how well the model describes the propagation of signal through the full instrument. Chapter 5 examines the noise present in the detector timestreams during recent science observations. Noise due to fluctuations in atmospheric emission dominate at long timescales (less than 0.5 Hz). Fluctuations in the amplitude and phase of the microwave probe signal due to the readout electronics contribute significant 1/f and drift-type noise at shorter timescales. The atmospheric noise is removed by creating a template for the fluctuations in atmospheric emission from weighted averages of the detector timestreams. The electronics noise is removed by using probe signals centered off-resonance to construct templates for the amplitude and phase fluctuations. The algorithms that perform the atmospheric and electronic noise removal are described. After removal, we find good agreement between the observed residual noise and our expectation for intrinsic detector noise over a significant fraction of the signal bandwidth.

Design of Resistivity Instrumentation for a He3 Cryostat and its Application to the Charge Density Wave Superconductor CuxTiSe2

Fermi patches in quasi-two dimensional charge density waves (CDW) have not described the connection to superconductivity (SC) according to theory adequately at this point in time. The connection between CDW and SC in the quasi-two dimensional material CuxTiSe2 is an interesting one which might reveal mechanisms in unconventional superconductors. A previous Brock graduate student grew crystals of CuxTiSe2. The precise doping of the samples was not known. In order to determine the doping parameter x in CuxTiSe2, a sensitive resistivity measurement system was necessary. A new resistivity measurement system was designed and implemented utilizing an Infrared Labs HDL-10 He3 cryostat. By comparing with data from the literature, doping of two samples was investigated using the new measurement system and a Quantum Design Magnetic Property Measurement System (MPMS). Methods for determining the doping revealed that the old resistivity system would not be able to determine the CDW transition temperature of highly doped samples or doping for elongated samples due to electronic noise. Doping in one sample was found to be between x=0.06 and x=0.065. Values of doping in the second sample had a discrepancy but could be explained by incorrect sample orientation.

Discrimination d'événements par analyse des signaux enregistrés par le projet PICASSO

La matière sombre est un mystère dans le domaine de l’astrophysique depuis déjà plusieurs années. De nombreuses observations montrent que jusqu’à 85 % de la masse gravitationnelle totale de l’univers serait composée de cette matière de nature inconnue. Une théorie expliquant cette masse manquante considérerait les WIMPs (Weakly Interacting Massive Particles), particules stables, non chargées, prédites par des extensions du modèle standard, comme candidats. Le projet PICASSO (Projet d’Identification des CAndidats Supersymétriques à la matière Sombre) est une expérience qui tente de détecter directement le WIMP. Le projet utilise des détecteurs à gouttelettes de fréon (C4F10) surchauffées. La collision entre un WIMP et le noyau de fluor crée un recul nucléaire qui cause à son tour une transition de phase de la gouttelette liquide à une bulle gazeuse. Le bruit de ce phénomène est alors capté par des senseurs piézoélectriques montés sur les parois des détecteurs. Le WIMP n’est cependant pas la seule particule pouvant causer une telle transition de phase. D’autres particules environnantes peuvent former des bulles, telles les particules alpha où même des rayons gamma . Le système d’acquisition de données (DAQ) est aussi en proie à du bruit électronique qui peut être enregistré, ainsi que sensible à du bruit acoustique extérieur au détecteur. Finalement, des fractures dans le polymère qui tient les gouttelettes en place peut également causer des transitions de phase spontanées. Il faut donc minimiser l’impact de tous ces différents bruit de fond. La pureté du matériel utilisé dans la fabrication des détecteurs devient alors très importante. On fait aussi appel à des méthodes qui impliquent l’utilisation de variables de discrimination développées dans le but d’améliorer les limites d’exclusion de détection du WIMP.

Performance and operation of the CMS electromagnetic calorimeter

The operation and general performance of the CMS electromagnetic calorimeter using cosmic-ray muons are described. These muons were recorded after the closure of the CMS detector in late 2008. The calorimeter is made of lead tungstate crystals and the overall status of the 75 848 channels corresponding to the barrel and endcap detectors is reported. The stability of crucial operational parameters, such as high voltage, temperature and electronic noise, is summarised and the performance of the light monitoring system is presented. © 2010 IOP Publishing Ltd and SISSA.

Análise teórica e experimental de um método interferométrico de detecção de fase óptica, auto-consistente e com elevada faixa dinâmica, aplicado à caracterização de atuadores piezoelétricos flextensionais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise teórica de uma nova técnica de processamento de sinais interferométricos baseada na modulação triangular da fase óptica

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Demodulação de sinais interferométricos de saída de sensor eletro-óptico de tensões elevadas utilizando processador digital de sinais

Pós-graduação em Engenharia Elétrica - FEIS

Wide dynamic range homodyne interferometry method and its application for piezoactuator displacement measurements

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

New Improved Version of J 1 ...J 4 Interferometry Method and its Application to Nanometric Vibration Measurements

Piezoelectric ceramics, such as PZT, can generate subnanometric displacements, bu t in order to generate multi- micrometric displacements, they should be either driven by high electric voltages (hundreds of volts ), or operate at a mechanical resonant frequency (in narrow band), or have large dimensions (tens of centimeters). A piezoelectric flextensional actuator (PFA) is a device with small dimensions that can be driven by reduced voltages and can operate in the nano- and micro scales. Interferometric techniques are very adequate for the characterization of these devices, because there is no mechanical contact in the measurement process, and it has high sensitivity, bandwidth and dynamic range. A low cost open-loop homodyne Michelson interferometer is utilized in this work to experimentally detect the nanovi brations of PFAs, based on the spectral analysis of the interfero metric signal. By employing the well known J 1 ...J 4 phase demodulation method, a new and improved version is proposed, which presents the following characteristics: is direct, self-consistent, is immune to fading, and does not present phase ambiguity problems. The proposed method has resolution that is similar to the modified J 1 ...J 4 method (0.18 rad); however, differently from the former, its dynamic range is 20% larger, does not demand Bessel functions algebraic sign correction algorithms and there are no singularities when the static phase shift between the interferometer arms is equal to an integer multiple of  /2 rad. Electronic noise and random phase drifts due to ambient perturbations are taken into account in the analysis of the method. The PFA nanopositioner characterization was based on the analysis of linearity betw een the applied voltage and the resulting displacement, on the displacement frequency response and determination of main resonance frequencies.

Kalorimetrische Tieftemperaturdetektoren für niederenergetische (E 1 MeV/amu) Schwerionen und ihr erster Einsatz in der Beschleuniger-Massenspektrometrie zur Spurenanalyse von 236 U

Im Rahmen der vorliegenden Arbeit wurden zum ersten Mal kalorimetrische Tieftemperatur-Detektoren in der Beschleuniger-Massenspektrometrie (Accelerator Mass Spectrometry AMS), einer Standard-Methode zur Bestimmung kleinster Isotopenverhältnisse, eingesetzt, um das Isotopenverhältnis von 236U zu 238U zu bestimmen. Das Uran-Isotop 236U entsteht in der Neutroneneinfang-Reaktion 235U(n,gamma)236U und kann daher als Monitor-Nuklid für Neutronenflüsse verwendet werden. Die Detektoren bestehen aus einem Saphir-Absorber, auf den ein supraleitender Aluminium-Film aufgedampft ist, der als Thermistor dient. Ein energetisches Schwerion deponiert seine kinetische Energie als Wärme im Absorber, dessen Temperaturänderung durch die Widerstandsänderung des Supraleiters nachgewiesen wird. Mit solchen Detektoren konnte in vorhergehenden Experimenten bei GSI in einem Energiebereich von E = 5 - 300 MeV/amu für eine Vielzahl von Ionen von Neon bis Uran eine relative Energieauflösung von (1 - 4) E-3 erreicht werden. Der für die Beschleuniger-Massenspektrometrie typische Energiebereich liegt bei E = 0.1 - 1 MeV/amu. Im ersten Schritt wurde daher die systematische Untersuchung der Detektoreigenschaften auf diesen Energiebereich ausgedehnt. Diese Untersuchungen sowie die AMS-Messungen wurden am Tandem-Beschleuniger VERA des Instituts für Isotopenforschung und Kernphysik der Universität Wien durchgeführt. In einem Energiebereich von 10 - 60 MeV konnte für verschiedene Ionen (13C, 197Au, 238U) zunächst eine relative Energieauflösung von DeltaE/E = 7 E-3 erreicht werden. Dies übertrifft die Auflösung konventioneller Ionisations-Detektoren um ca. eine Größenordnung. Durch eine Verbesserung thermischer und elektronischer Rauschbeiträge konnte in einem zweiten Experiment für Uran der Energie 17 MeV die Auflösung auf DeltaE/E = 4.6 E-3 verbessert werden. Die Energie-Response des Detektors war linear über den gesamten beobachteten Energiebereich und unabhängig von der Ionenmasse; bis auf ein Niveau von 0.1 % wurde kein Pulshöhendefekt beobachtet. Diese Ergebnisse zeigen, daß solche Detektoren ein wertvolles Werkzeug in der Schwerionenphysik im Bereich relativ niedriger Ionenenergien darstellen. Mit der erreichten Energieauflösung war es möglich, für mehrere Proben aus natürlichem Uran das Isotopenverhältnis 236U/238U zu bestimmen: Um einen Material-Standard für Uran in der AMS zu etablieren, wurde das Isotopenverhältnis 236U/238U für zwei Proben aus der Mine ''K.u.K. Joachimsthal'' möglichst präzise bestimmt. Die Ergebnisse in der vorliegenden Arbeit stimmen gut mit früheren Messungen überein, die mit einem konventionellen Detektorsystem durchgeführt wurden. Sowohl der statistische als auch der systematische Fehler konnten deutlich reduziert werden. Für eine weitere Probe, extrahiert aus dem Wasser einer Uran-haltigen Quelle in Bad Gastein, wurde ein Isotopenverhältnis von 6.1 E-12 gemessen. Dies stellt das kleinste bislang für 236U/238U gemessene Isotopenverhältnis dar und bedeutet eine Steigerung der Sensitivität um eine Größenordnung. Die erreichte Energieauflösung ermöglicht es außerdem, die Detektoren zur direkten Massenidentifikation von schweren Ionen mittels einer kombinierten Energie-Flugzeit-Messung einzusetzen. In ersten Test-Messungen im Rahmen der vorliegenden Arbeit wurde eine Massenauflösung von DeltaM/M = (8.5 - 11.0) E-3 erreicht. In einem ersten Test für den Einsatz dieser Detektoren zum Nachweis sog. ''superschwerer Elemente (Z >= 112)'' erlaubte der große dynamische Bereich, die Reaktionsprodukte und ihre nachfolgenden Alpha-Zerfälle mit hoher Energieauflösung simultan und zeitaufgelöst nachzuweisen.

Subsecond fluorine-19 MRI of the lung

Minimal scan times in rapid fluorine-19 MRI using sulfur hexafluoride (SF6) have been on the order of 10 s. Because of the very short T1 relaxation time of SF6 (T1 = 1.65 ms), high receiver bandwidths are necessary to allow for a high number of excitations. Since high bandwidths cause high levels of electronic noise, SNR per acquisition has been too low to further reduce scan time. The purpose of this study was to investigate whether scan times could be reduced using hexafluoroethane (C2F6), a gas with a longer T1 (T1 = 7.9 ms) at a relatively low bandwidth of 488 Hz/pixel. Gradient-echo images were acquired during and after completion of the wash-in of a 70% C2F6- 30% O2 mixture. Peak SNR values of 16 and 7.9 were observed for coronal projection images acquired within 2 s and 260 ms, respectively. These results demonstrate that subsecond imaging is feasible using C2F6.

CT dose and image quality in the last three scanner generations.

AIM To compare the computed tomography (CT) dose and image quality with the filtered back projection against the iterative reconstruction and CT with a minimal electronic noise detector. METHODS A lung phantom (Chest Phantom N1 by Kyoto Kagaku) was scanned with 3 different CT scanners: the Somatom Sensation, the Definition Flash and the Definition Edge (all from Siemens, Erlangen, Germany). The scan parameters were identical to the Siemens presetting for THORAX ROUTINE (scan length 35 cm and FOV 33 cm). Nine different exposition levels were examined (reference mAs/peek voltage): 100/120, 100/100, 100/80, 50/120, 50/100, 50/80, 25/120, 25/100 and 25 mAs/80 kVp. Images from the SOMATOM Sensation were reconstructed using classic filtered back projection. Iterative reconstruction (SAFIRE, level 3) was performed for the two other scanners. A Stellar detector was used with the Somatom Definition Edge. The CT doses were represented by the dose length products (DLPs) (mGycm) provided by the scanners. Signal, contrast, noise and subjective image quality were recorded by two different radiologists with 10 and 3 years of experience in chest CT radiology. To determine the average dose reduction between two scanners, the integral of the dose difference was calculated from the lowest to the highest noise level. RESULTS When using iterative reconstruction (IR) instead of filtered back projection (FBP), the average dose reduction was 30%, 52% and 80% for bone, soft tissue and air, respectively, for the same image quality (P < 0.0001). The recently introduced Stellar detector (Sd) lowered the radiation dose by an additional 27%, 54% and 70% for bone, soft tissue and air, respectively (P < 0.0001). The benefit of dose reduction was larger at lower dose levels. With the same radiation dose, an average of 34% (22%-37%) and 25% (13%-46%) more contrast to noise was achieved by changing from FBP to IR and from IR to Sd, respectively. For the same contrast to noise level, an average of 59% (46%-71%) and 51% (38%-68%) dose reduction was produced for IR and Sd, respectively. For the same subjective image quality, the dose could be reduced by 25% (2%-42%) and 44% (33%-54%) using IR and Sd, respectively. CONCLUSION This study showed an average dose reduction between 27% and 70% for the new Stellar detector, which is equivalent to using IR instead of FBP.

Structural damage identification with noise polluted Frequency Response Functions (FRFs)

Damage detection in structures has become increasingly important in recent years. While a number of damage detection and localization methods have been proposed, very few attempts have been made to explore the structure damage with noise polluted data which is unavoidable effect in real world. The measurement data are contaminated by noise because of test environment as well as electronic devices and this noise tend to give error results with structural damage identification methods. Therefore it is important to investigate a method which can perform better with noise polluted data. This paper introduces a new damage index using principal component analysis (PCA) for damage detection of building structures being able to accept noise polluted frequency response functions (FRFs) as input. The FRF data are obtained from the function datagen of MATLAB program which is available on the web site of the IASC-ASCE (International Association for Structural Control– American Society of Civil Engineers) Structural Health Monitoring (SHM) Task Group. The proposed method involves a five-stage process: calculation of FRFs, calculation of damage index values using proposed algorithm, development of the artificial neural networks and introducing damage indices as input parameters and damage detection of the structure. This paper briefly describes the methodology and the results obtained in detecting damage in all six cases of the benchmark study with different noise levels. The proposed method is applied to a benchmark problem sponsored by the IASC-ASCE Task Group on Structural Health Monitoring, which was developed in order to facilitate the comparison of various damage identification methods. The illustrated results show that the PCA-based algorithm is effective for structural health monitoring with noise polluted FRFs which is of common occurrence when dealing with industrial structures.