DECam integration tests on telescope simulator

The Dark Energy Survey (DES) is a next generation optical survey aimed at measuring the expansion history of the universe using four probes: weak gravitational lensing, galaxy cluster counts, baryon acoustic oscillations, and Type Ia supernovae. To perform the survey, the DES Collaboration is building the Dark Energy Camera (DECam), a 3 square degree, 570 Megapixel CCD camera which will be mounted at the Blanco 4-meter telescope at the Cerro Tololo Inter- American Observatory. DES will survey 5000 square degrees of the southern galactic cap in 5 filters (g, r, i, z, Y). DECam will be comprised of 74 250 micron thick fully depleted CCDs: 62 2k x 4k CCDs for imaging and 12 2k x 2k CCDs for guiding and focus. Construction of DECam is nearing completion. In order to verify that the camera meets technical specifications for DES and to reduce the time required to commission the instrument, we have constructed a full sized telescope simulator and performed full system testing and integration prior to shipping. To complete this comprehensive test phase we have simulated a DES observing run in which we have collected 4 nights worth of data. We report on the results of these unique tests performed for the DECam and its impact on the experiments progress.Comment: Proceedings of the 2nd International Conference on Technology and Instrumentation in Particle Physics (TIPP 2011). To appear in Physics Procedia. 8 pages, 3 figure

The overall seasonal integration tests under non-stationary alternatives

Few authors have studied, either asymptotically or in finite samples, the size and power of seasonal unit root tests when the data generating process [DGP] is a non-stationary alternative aside from the seasonal random walk. In this respect, Ghysels, lee and Noh (1994) conducted a simulation study by considering the alternative of a non-seasonal random walk to analyze the size and power properties of some seasonal unit root tests. Analogously, Taylor (2005) completed this analysis by developing the limit theory of statistics of Dickey and Fuller Hasza [DHF] (1984) when the data are generated by a non-seasonal random walk. del Barrio Castro (2007) extended the set of non-stationary alternatives and established, for each one, the asymptotic theory of the statistics subsumed in the HEGY procedure. In this paper, I show that establishing the limit theory of F-type statistics for seasonal unit roots can be debatable in such alternatives. The problem lies in the nature of the regressors that these overall F-type tests specify.Fisher test, seasonal integration, non-stationary alternatives, Brownian motion, Monte Carlo Simulation.

Spacecraft control

Partial inertial system integration tests, automatic lens design, and vibration and shock analyses of electrostatic gyroscop

The overall seasonal integration tests under non-stationary alternatives: A methodological note

Few authors have studied, either asymptotically or in finite samples, the size and power of seasonal unit root tests when the data generating process [DGP] is a non-stationary alternative aside from the seasonal random walk. In this respect, Ghysels, lee and Noh (1994) conducted a simulation study by considering the alternative of a non-seasonal random walk to analyze the size and power properties of some seasonal unit root tests. Analogously, Taylor (2005) completed this analysis by developing the limit theory of statistics of Dickey and Fuller Hasza [DHF] (1984) when the data are generated by a non-seasonal random walk. del Barrio Castro (2007) extended the set of non-stationary alternatives and established, for each one, the asymptotic theory of the statistics subsumed in the HEGY procedure. In this paper, I show that establishing the limit theory of F-type statistics for seasonal unit roots can be debatable in such alternatives. The problem lies in the nature of the regressors that these overall F-type tests specify.Fisher test, seasonal integration, non-stationary alternatives, Brownian motion, Monte Carlo Simulation.

Velocity Effect On Inflationary Growth of Turkey: Evidence From Co-integration Analysis and Granger's Causality Test

The Turkish economy has experienced high and persistent inflation rates in the last two decades. This inflation has persisted despite many unsuccessful stabilization policies, which have caused volatility in macro-economic indicators. The main aim of this paper is to analyze the impact of velocity on inflationary trend in Turkey over the period between 1996 and 2001. We assumed that there is a direct relationship between the two factors. However, velocity is not the major cause of inflation. The integration and co-integration tests have been adopted on monthly time series data to test the validity of the model by adding some control variables. Results show that velocity has a weak and negative effect on the inflationary growth of Turkey during this period. The effects of other control variables on inflation growth have also been tested. Some aspects of this linear relationship have been obtained by Granger’s Causality Test.Velocity, Co-Integration Tests, Error Correction Mechanism, Granger’s Test

Dependent Request Inference and Execution in Integration Tests

The test setup phase of an automated software test for an application programming interface (API) typically requires the creation of many dependent objects. Current techniques for test setup typically require a test writer to explicitly define dependencies between resources, which entails substantial manual effort to build the setup necessary to test an API request. This disclosure describes techniques to automatically assemble a dependency graph and build the setup and cleanup necessary to test an API request. An API service definition is analyzed to enumerate all remote procedure calls (RPCs) and infer the fields and RPCs required to successfully execute a request. Structured API definitions and heuristics are used to determine whether an API request has a dependency on other API requests. These dependencies are assembled into a dependency graph, the nodes of which are executed after being topologically sorted

Long-run and short-run dynamics relationships between exchange rate fluctuations and foreign direct investment flows in China

This research explores the short-run and long-run dynamic relationships between exchange rate fluctuations and foreign direct investment (FDI) inflows in China. Monthly time series data from the National Bureau of Statistics of the People’s Republic of China are analyzed by employing co-integration tests, vector error correction models, Wald tests and impulse responses. The empirical results indicate that a change in exchange rates negatively affects FDI inflows in the long run while there exists no evidence of shortrun dynamics and reciprocal feedback between exchange rate fluctuations and FDI inflows. Furthermore, a structural break occurs during the 2007-2009 Asian financial crisis shock to FDI inflows in China

Generating Class-Level Integration Tests Using Call Site Information

Search-based approaches have been used in the literature to automate the process of creating unit test cases. However, related work has shown that generated unit-tests with high code coverage could be ineffective, i.e., they may not detect all faults or kill all injected mutants. In this paper, we propose CLING, an integration-level test case generation approach that exploits how a pair of classes, the caller and the callee, interact with each other through method calls. In particular, CLING generates integration-level test cases that maximize the Coupled Branches Criterion (CBC). Coupled branches are pairs of branches containing a branch of the caller and a branch of the callee such that an integration test that exercises the former also exercises the latter. CBC is a novel integration-level coverage criterion, measuring the degree to which a test suite exercises the interactions between a caller and its callee classes. We implemented CLING and evaluated the approach on 140 pairs of classes from five different open-source Java projects. Our results show that (1) CLING generates test suites with high CBC coverage, thanks to the definition of the test suite generation as a many-objectives problem where each couple of branches is an independent objective; (2) such generated suites trigger different class interactions and can kill on average 7.7% (with a maximum of 50%) of mutants that are not detected by tests generated at the unit level; (3) CLING can detect integration faults coming from wrong assumptions about the usage of the callee class (32 for our subject systems) that remain undetected when using automatically generated unit-level test suites

Does the Dispersion of Unit Labor Cost Dynamics in the EMU Imply Long-Run Divergence?: Results from a Comparison with the United States of America and Germany

Using unit labor cost (ULC) data from Euro area countries as well as US States and German Länder we investigate inflation convergence using different approaches, namely panel unit root tests, co-integration tests and error-correction models. All in all we cannot reject convergence of ULC growth in EMU, however, country-specific deviations from the rest of the currency union are more pronounced in Europe and more persistent. This holds before and after the introduction of the common currency.Unit labor costs, inflation, EMU, convergence, panel unit root tests, convergence clubs