CMS Monte Carlo production in the WLCG computing Grid

Monte Carlo production in CMS has received a major boost in performance and scale since the past CHEP06 conference. The production system has been re-engineered in order to incorporate the experience gained in running the previous system and to integrate production with the new CMS event data model, data management system and data processing framework. The system is interfaced to the two major computing Grids used by CMS, the LHC Computing Grid (LCG) and the Open Science Grid (OSG). Operational experience and integration aspects of the new CMS Monte Carlo production system is presented together with an analysis of production statistics. The new system automatically handles job submission, resource monitoring, job queuing, job distribution according to the available resources, data merging, registration of data into the data bookkeeping, data location, data transfer and placement systems. Compared to the previous production system automation, reliability and performance have been considerably improved. A more efficient use of computing resources and a better handling of the inherent Grid unreliability have resulted in an increase of production scale by about an order of magnitude, capable of running in parallel at the order of ten thousand jobs and yielding more than two million events per day

Design, performance, and calibration of CMS forward calorimeter wedges

We report on the test beam results and calibration methods using high energy electrons, pions and muons with the CMS forward calorimeter (HF). The HF calorimeter covers a large pseudorapidity region (3 <= vertical bar eta vertical bar <= 5), and is essential for a large number of physics channels with missing transverse energy. It is also expected to play a prominent role in the measurement of forward tagging jets in weak boson fusion channels in Higgs production. The HF calorimeter is based on steel absorber with embedded fused-silica-core optical fibers where Cherenkov radiation forms the basis of signal generation. Thus, the detector is essentially sensitive only to the electromagnetic shower core and is highly non-compensating (e/h approximate to 5). This feature is also manifest in narrow and relatively short showers compared to similar calorimeters based on ionization. The choice of fused-silica optical fibers as active material is dictated by its exceptional radiation hardness. The electromagnetic energy resolution is dominated by photoelectron statistics and can be expressed in the customary form as a/root E circle plus b. The stochastic term a is 198% and the constant term b is 9%. The hadronic energy resolution is largely determined by the fluctuations in the neutral pion production in showers, and when it is expressed as in the electromagnetic case, a = 280% and b = 11%

Painless aortic dissection with slurred speech (Neurologic symptom)

Introduction: Aortic dissection is an uncommon disorder with a high mortality rate, especially if misdiagnosis and mistreatment are not considered. Case Presentation: We present a 67-year old female with slurred speech and left sided plegia during her brother�s funeral. The patient did not have any chest pain. she was referred to our emergency department by emergency medicine service due to being suspicious of cerebrovascular accident (CVA)) as code 724). However, owing to low blood pressure and atypical symptoms of the patient, we did rapid ultrasound for shock and hypotension (RUSH) exam in the emergency department to detect aortic dissection. After doing the computed tomography (CT) angiography, the diagnosis of aortic dissection was confirmed. As the vascular surgeon was not present in our surgery department, we transferred the patient to Namazi hospital by air ambulance to undergo the surgery. She was discharged from hospital with complete recovery. Conclusion: Aortic dissection symptoms can be manifested in different ways such as pulmonary embolism, acute coronary syndrome, and CVA. Therefore, clinicians must always have the differential diagnosis of aortic dissection in their mind and be aware of its various manifestations. © 2021 The Author(s)

Neonatal Hair Nicotine Levels and Fetal Exposure to Paternal Smoking at Home

Exposure to environmental tobacco smoke (ETS) is a major risk to human health, and the home is the greatest single source of ETS for children. The authors investigated fetal exposure to paternal smoking at home during pregnancy. Korean families were included as trios of fathers, mothers, and neonates identified in 2005–2007. Sixty-three trios were finally enrolled in this study after exclusion of those in which the mother was a smoker or was regularly exposed to ETS at places other than the home. Nicotine and cotinine concentrations in hair were measured by using liquid chromatography–tandem mass spectrometry to determine long-term exposure to ETS. The difference between neonatal nicotine concentrations in the smoker and nonsmoker groups was not statistically significant. However, in the indoor-smoker group, neonatal nicotine concentrations were significantly higher than in the outdoor and nonsmoker groups (P < 0.05). Furthermore, neonatal nicotine concentrations in the outdoor-smoker group were not different from those in the nonsmoker group. These findings indicate that paternal smoking inside the home leads to significant fetal and maternal exposure to ETS and may subsequently affect fetal health. Conversely, findings show that paternal smoking outside the home prevents the mother and her fetus from being exposed to ETS

CMS Data and Workflow Management System

CMS expects to manage many tens of peta bytes of data to be distributed over several computing centers around the world. The CMS distributed computing and analysis model is designed to serve, process and archive the large number of events that will be generated when the CMS detector starts taking data. The underlying concepts and the overall architecture of the CMS data and workflow management system will be presented. In addition the experience in using the system for MC production, initial detector commissioning activities and data analysis will be summarized

CMS data and workflow management system

CMS expects to manage many tens of peta bytes of data to be distributed over several computing centers around the world. The CMS distributed computing and analysis model is designed to serve, process and archive the large number of events that will be generated when the CMS detector starts taking data. The underlying concepts and the overall architecture of the CMS data and workflow management system will be presented. In addition the experience in using the system for MC production, initial detector commissioning activities and data analysis will be summarized