The ECAL online software in the commissioning of the CMS detector

The Electromagnetic Calorimeter (ECAL) of the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC) is a crystal homogeneous calorimeter made of about 76000 Lead Tungstate crystals. The detector was installed in the CMS experimental cavern in 2007 and 2008 and was commissioned with cosmic rays and with LHC beams in 2008. The trigger and data acquisition system of the CMS ECAL comprises 35000 Front End ASICs and 170 Off Detector VME Boards. The operation of the system, performed by the ECAL online software, requires the configuration of $\mathrm{O(10^7)}$ parameters and the realtime monitoring of $\mathrm{O(10^5)}$ registers. In this paper we discuss the design and architecture of the ECAL online software and its performances in cosmic ray runs and with the first LHC beams

ECAL Front-End Monitoring in the CMS experiment

The CMS detector at LHC is equipped with a high precision lead tungstate crystal electromagnetic calorimeter (ECAL). The front-end boards and the photodetectors are monitored using a network of DCU (Detector Control Unit) chips located on the detector electronics. The DCU data are accessible through token rings controlled by an XDAQ based software component. Relevant parameters are transferred to DCS (Detector Control System) and stored into the Condition DataBase. The operational experience from the ECAL commissioning at the CMS experimental cavern is discussed and summarized

Data Filtering in the readout of the CMS Electromagnetic Calorimeter

For an efficient data taking, the Electromagnetic Calorimeter (ECAL) data of the CMS experiment must be limited to 10\% of the full event size (1MB). Other requirements limit the average data size to 2kB per data acquisition link. These conditions imply a reduction factor of close to twenty on the data collected. The data filtering in the readout of the ECAL detector is discussed. Test beam data are used to study the digital filtering applied in the readout channels and a full detector simulation allows to estimate the energy thresholds to achieve the desired data suppression factor

Coronary computed tomography: current role and future perspectives for cardiovascular risk stratification.

Atherosclerotic coronary artery disease (CAD) is a major cause of morbidity and mortality. The majority of cardiovascular events, more than 50% of CAD deaths, occur in previously asymptomatic individuals at intermediate cardiovascular risk, highlighting the relevance of accurate individual risk assessment to decrease cardiovascular events through more appropriate targeting of preventive measures. In the last decades, the development of non-invasive imaging techniques have prompted interest in imaging of atherosclerosis. Coronary computed tomography provides the opportunity to assess the deposition of calcium in the coronary tree and to non-invasively image coronary vessels. Both information are useful for risk stratification of asymptomatic subjects or of subjects with suspected CAD

Coronary computed tomography: current role and future perspectives for cardiovascular risk stratification

Atherosclerotic coronary artery disease (CAD) is a major cause of morbidity and mortality. The majority of cardiovascular events, more than 50% of CAD deaths, occur in previously asymptomatic individuals at intermediate cardiovascular risk, highlighting the relevance of accurate individual risk assessment to decrease cardiovascular events through more appropriate targeting of preventive measures. In the last decades, the development of non-invasive imaging techniques have prompted interest in imaging of atherosclerosis. Coronary computed tomography provides the opportunity to assess the deposition of calcium in the coronary tree and to non-invasively image coronary vessels. Both information are useful for risk stratification of asymptomatic subjects or of subjects with suspected CAD

The CMS Electromagnetic Calorimeter Data Acquisition System at the 2006 Test Beam

The Electromagnetic Calorimeter of the CMS experiment at the CERN LHC is an homogeneous calorimeter made of about 80000 Lead Tungstate crystals. From June to November 2006, eleven barrel Supermodules (1700 crystals each) were exposed to beam at CERN SPS, both in stand-alone and in association with portions of the Hadron Calorimeter. We present the description of the system used to configure and readout the calorimeter during this period. The full set of final readout electronics boards was employed, together with the pre-series version of the data acquisition software. During this testbeam, the hardware and software concepts for the final system were validated and the successfull operation of all the ten supermodules was ensured