Multivariate Techniques for Identifying Diffractive Interactions at the LHC

Close to one half of the LHC events are expected to be due to elastic or inelastic diffractive scattering. Still, predictions based on extrapolations of experimental data at lower energies differ by large factors in estimating the relative rate of diffractive event categories at the LHC energies. By identifying diffractive events, detailed studies on proton structure can be carried out. The combined forward physics objects: rapidity gaps, forward multiplicity and transverse energy flows can be used to efficiently classify proton-proton collisions. Data samples recorded by the forward detectors, with a simple extension, will allow first estimates of the single diffractive (SD), double diffractive (DD), central diffractive (CD), and non-diffractive (ND) cross sections. The approach, which uses the measurement of inelastic activity in forward and central detector systems, is complementary to the detection and measurement of leading beam-like protons. In this investigation, three different multivariate analysis approaches are assessed in classifying forward physics processes at the LHC. It is shown that with gene expression programming, neural networks and support vector machines, diffraction can be efficiently identified within a large sample of simulated proton-proton scattering events. The event characteristics are visualized by using the self-organizing map algorithm.

Mental Disorders among Burn Patients

ABSTRACT Mental disorders and suicide attempts among acute burn patients were investigated in a collaborative research project between National Institute for Health and Welfare and Departments of Psychiatry and Plastic surgery in University of Helsinki in Finland. This project was realized in two parts. The first cohort of burn patients consisted of all burn patients admitted to the Helsinki Burn Centre during 1989 97. In this retrospective cohort, 5.7% (N=46) of the total of 811 burn patients had attempted suicide. The burn severity of suicide attempters was markedly higher than in the other burn patients. Suicide attempters were more often unemployed or on disability pension and had psychiatric history before the injury. The second sample was a prospective cohort of all acute consecutive burn patients admitted to the Helsinki Burn Centre during 18 months in 2006- 2007. All subjects (N=107) of the cohort were interviewed with the Structured Clinical Interview for DSM-IV for Axis I and II mental disorders (SCID-I and SCID-II) at baseline and then 86 % of all (N=92) with SCID-I at the end of six-month follow-up. Most (61%) patients had at least one lifetime mental disorder before burn; 47 % substance-related, 10% psychotic and 23% personality disorders. The overall prevalence of Axis I mental disorders increased significantly from the month prior to burn to acute care but decreased significantly from acute care to six months. However, more than one half (55%) of the cohort suffered from some mental disorder during follow-up. Less than one half of the burn patients with estimated need for psychiatric care received psychiatric care. Burn severity independently and strongly predicted risk for mental disorders during follow-up and pre-burn psychiatric history, severe burns and estimated need for psychiatric care significantly predicted psychiatric care received. The proportion of patients with self-inflicted burns is not high but mental disorders are common among burn patients. Mental disorders may predispose to burns. After burn injury, more than half of the patients suffer from mental disorders and a strong relationship exists between burn severity and some post-burn mental disorders. A minority of the patients with unequivocal need for psychiatric care actually receive it. Psychiatric consultations and care follow mainly the course of acute burn treatment.

Central Diffraction at ALICE

The ALICE experiment is shown to be well suited for studies of exclusive final states from central diffractive reactions. The gluon-rich environment ofthe central system allows detailed QCD studies and searches for exotic mesonstates, such as glueballs, hybrids and new charmonium-like states. It wouldalso provide a good testing ground for detailed studies of heavy quarkonia. Dueto its central barrel performance, ALICE can accurately measure the low-masscentral systems with good purity. The efficiency of the Forward MultiplicityDetector (FMD) and the Forward Shower Counter (FSC) system for detectingrapidity gaps is shown to be adequate for the proposed studies. With thisdetector arrangement, valuable new data can be obtained by tagging centraldiffractive processes.