96 research outputs found
Measurement of ϒ production in pp collisions at √s = 2.76 TeV
The production of Ï’(1S), Ï’(2S) and Ï’(3S)
mesons decaying into the dimuon final state is studied with
the LHCb detector using a data sample corresponding to an
integrated luminosity of 3.3 pb−1 collected in proton–proton
collisions at a centre-of-mass energy of √s = 2.76 TeV. The
differential production cross-sections times dimuon branching
fractions are measured as functions of the Ï’ transverse
momentum and rapidity, over the ranges pT < 15 GeV/c
and 2.0 < y < 4.5. The total cross-sections in this kinematic
region, assuming unpolarised production, are measured to be
σ (pp → ϒ(1S)X) × B
ϒ(1S)→μ+μ−
= 1.111 ± 0.043 ± 0.044 nb,
σ (pp → ϒ(2S)X) × B
ϒ(2S)→μ+μ−
= 0.264 ± 0.023 ± 0.011 nb,
σ (pp → ϒ(3S)X) × B
ϒ(3S)→μ+μ−
= 0.159 ± 0.020 ± 0.007 nb,
where the first uncertainty is statistical and the second systematic
Study of the doubly charmed tetraquark T+cc
Quantum chromodynamics, the theory of the strong force, describes interactions of coloured quarks and gluons and the formation of hadronic matter. Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. Particles with an alternative quark content are known as exotic states. Here a study is reported of an exotic narrow state in the D0D0π+ mass spectrum just below the D*+D0 mass threshold produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. The state is consistent with the ground isoscalar T+cc tetraquark with a quark content of ccu⎯⎯⎯d⎯⎯⎯ and spin-parity quantum numbers JP = 1+. Study of the DD mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell D*+ mesons is consistent with the observed D0π+ mass distribution. To analyse the mass of the resonance and its coupling to the D*D system, a dedicated model is developed under the assumption of an isoscalar axial-vector T+cc state decaying to the D*D channel. Using this model, resonance parameters including the pole position, scattering length, effective range and compositeness are determined to reveal important information about the nature of the T+cc state. In addition, an unexpected dependence of the production rate on track multiplicity is observed
Families and Imprisonment Research Study, 2018-2019
The Families and Imprisonment Research Study (FAIR) comprises the third wave of data collection from a prospective longitudinal mixed methods study of families who experienced paternal imprisonment 6-8 years previously (at the first wave of data collection). Interviews, including standardised measures, were held with 32 fathers, 36 mothers and 42 children from 41 families, to capture post-release experiences and outcomes. Topics covered included accommodation; employment/education/training; social relationships; family life; child adjustment; health; leisure; community involvement; criminal activity; coping; support; effects of imprisonment and goals/hopes for the future. Data are included for 16 fathers and 27 mothers who consented to data sharing. Interview data from children are not included, however parental reports on 71 children are available in the parents' data files. Consent: For the parents and children aged over 18, consent was sought verbally and confirmed by signing a written consent form. Consent could be given for any or all of the following: taking part in the study; being audio recorded and sharing data via UKDS. For the children aged under 18, parental consent was sought initially from the primary caregiver and confirmed via their own consent form. The children themselves were then asked for consent to take part (and/or be audio recorded) and signed or stamped their own consent form. Age-appropriate language and documentation were used for different age groups (4-7; 8-11 and 12-17). Data Entry: Data were entered into SPSS by four members of the research team. Quantitative data consist of participant responses from a pre-defined list of questions. Qualitative data consist of notes made by the interviewer from participant responses to open-ended questions. Following initial data entry, the data were cleaned by two members of the research team who resolved coding inconsistencies, identified and amended gaps/errors and cross-checked each other's work. Anonymisation: Each participant has a unique ID number that was used in replacement of their name in all documentation and data files except the database used to manage participant details and the consent forms, which contained both unique ID numbers and names/signatures. In the qualitative responses within the SPSS files, if participants referred to another research participant (e.g. a mother referring to her child), this was substituted with the respective participant’s own unique ID number. This helped to keep track of family relationships. If participants referred to an individual not in the study, the individual’s name was substituted for their relationship to the participant (e.g. [brother], [friend]). Due to the sensitivity of the research topic, locations were also anonymised. Current places of imprisonment or residence were substituted with [current prison] and [current location] respectively. Previous places of imprisonment/residence were substituted in chronological order (e.g. [previouslocation1], [previous location2]. Data were not originally entered in an anonymised form for analytical reasons. Anonymisation of the data files was first undertaken by a research assistant and then cross-checked by senior members of the research team.The proposed research investigated processes of resilience in families who experienced the imprisonment of the father. Building on a unique data set from an earlier longitudinal study which gathered information from prisoners, their (ex)partners and children during and after imprisonment, this study examined individual and family-wide coping processes and experiences of social (re)integration approximately six years after the father's release from prison. In contrast to much existing research, the study put particular emphasis on protective functions of family relationships and support networks in the face of multiple risks to well-being (e.g. criminal behaviour, health problems, alcohol and drug misuse, school or employment problems, and social disintegration). The data have been used in part to further develop a family-oriented process model of resilience that can inform social policy and practice.</p
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