* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download First Generation Fit - University of Richmond
Survey
Document related concepts
Monte Carlo methods for electron transport wikipedia , lookup
Data analysis wikipedia , lookup
Elementary particle wikipedia , lookup
Theoretical and experimental justification for the Schrödinger equation wikipedia , lookup
ALICE experiment wikipedia , lookup
Business intelligence wikipedia , lookup
Super-Kamiokande wikipedia , lookup
Future Circular Collider wikipedia , lookup
ATLAS experiment wikipedia , lookup
Transcript
Introduction The purpose of the Thomas Jefferson National Accelerator Facility (JLab) is to understand the fundamental properties of atomic nuclei in terms of quarks and gluons. We describe here how data is collected at Jefferson Lab and how we select events in one of the end station detectors called CLAS (CEBAF Large Acceptance Spectrometer) located in Hall B. We do this by focusing on data where the response of the detector is well understood. CEBAF The Continuous Electron Beam Accelerating Facility (CEBAF) at JLab in Newport News, Virginia, is used to study the properties of quark matter. CEBAF is about 7/8 of a mile around, 25 feet underground and is capable of producing electron beams of with energies of 2-6 GeV. The electron beam is accelerated through the straight sections and magnets are used to make Hall A the beam travel around the bends (see Fig. 1). An electron beam can travel around the accelerator up to five times near the speed of light. The beam is sent to one of three halls Hall B where the beam collides with a target and the debris is measured. These data were collected Hall C in Hall B with CLAS (Fig. 1). Fig. 1 Accelerator and Halls A, B, and C CLAS CLAS is located in Hall B and is used to detect electrons, protons, pions, photons, neutrons, and other subatomic particles. The detector is able to detect most of the particles created in a nuclear reaction, because of its unique nearly-full-solid-angle structure. There are six major layers of CLAS (see Fig. 2) which produce electrical signals, providing us with information on velocity, momentum, and energy, and allow us to identify different subatomic particles. Fig. 2 CLAS Event Display(CED), displays signals received from each layer of CLAS. Hadronic Fiducial Cuts for the CLAS E5 Data Set K. Greenholt (G.P. Gilfoyle) Department of Physics University of Richmond, Virginia What’s the Challenge? Selecting Events to Define the Hadron Fiducial Region To find the edge of the acceptance, the azimuthal or fh dependence must be uniform. In Figure 3, this is not true for events in the range qh=40o70o. The ‘peninsula’ here is a reflection of the forward-angle electron acceptance of CLAS (these are electron-hadron coincidences). To test this idea we exclude electrons with qe<40o in sector 4. The effect on the hadron acceptance is shown in Figure 7. The hadron ‘peninsula’ has disappeared in sector 1, opposite sector 4 with the electron. We also include cuts on W, the recoiling mass to exclude quasi-elastic events. The final hadron sample for the 2.6-GeV, normal torus polarity data is shown in Figure 8. This is representative of the data in other sets of E5 running conditions. In regions of CLAS near the current-carrying coils that produce the magnetic field the efficiency, or acceptance, of the detector is not well known due to misalignments of the current coils and the cryostats. To filter these events out of our sample, we put constraints (fiducial cuts) on electron, proton, and pion scattering angles to exclude the regions of the magnetic field near the coils and only accept data where the acceptance is uniform. What have we done so far? We have generated fiducial cuts for hadrons (protons and pions) from CLAS for all three sets of running conditions for the E5 running period.at 2.56 GeV, normal polarity. We built on the methods developed by R.Nyazov and L. Weinstein (CLAS-Note 2001-013). Procedure Stage 1: First Generation Fit We start with protons and pions events in coincidence with electrons in CLAS (see Figure 3). We plot the number of events versus the angle for a particular momentum bin and angle bin. We then use a CERN program called Minuit to fit a trapezoidal curve to the data points. The fiducial cut is defined as the edge of the plateau in Fig. 4. Fig 3. Data plot from CLAS showing q versus f for electronhadron coincidences. Note: six sector configuration. Fig. 4. Fiducial cut in terms of events plotted against f angle, showing the region of stable efficiency in the f distribution for the hadrons in the labeled momentum and q bin. Figure 7. Effect of forward-angle Figure 8. Final hadron sample used in generation 1 fits. electron cut in sector 3. Results Figures 9-11 show the proton-pion acceptance for electron-hadron coincidences for all three sets of E5 running conditions. Stage 2: Second Generation Fit We fit the upper and lower sector edges defined by the first generation trapezoidal fits, and plot them against the qh the polar hadron angle. We then use Minuit to fit another curve to these data points. While often this fit is symmetrical, the procedure does not require symmetry. The function used in the fit is 1 fedge fmid b1 1 q h t0 / a The drift chambers make up the first three layers, and determine the paths of charged particles. The next layer is the Cerenkov counters which separate electrons from pions. The following layer is made of the time of flight scintillators to determine time of flight and hence velocity. The calorimeters, used to measure the energy of the particles, make up the final layer. Also in CLAS is a toroidal magnet that causes charged particles to bend as they pass through the middle region of drift chambers. This bending is used to determine momentum. The magnetic field is created by six, superconducting coils. The properties of this magnetic field is of particular interest to us, as we attempt to define the fiducial volume of the detector, because it affects the regions of stable efficiency. The Data Set We have collected data for electrons on deuterium during the E5 running period at JLab with beam energies of 4.2 GeV and 2.6 GeV. The polarity of the toroidal magnet was set so electrons bend torwards the beam. A third data set is at 2.6 GeV with the magnet polarity reversed. where fedge is the azimuthal angle of the edge of the uniform acceptance for a given hadronic scattering angle qh and momentum bin and a, b, t0 , and fmid are parameters. The value of fmid is fixed at the value of the mid-point of the first good qh bin. Some results for one sector and one hadron momentum bin are shown in Figure 5. In the first iteration of the fit the values for a, b, and t0, are varied for each side of the sector. In the second iteration the value of t0 is restricted to a narrow range defined by the first iteration results. We also include a cutoff where the qh dependence becomes constant that we take from the data. Stage 3: Third Generation Fit We plot the results generated by the second generation fits against the momentum of the hadron (measured when the particle passes through the toroidal magnet), and fit these data with a polynomial function. We want to generate fiducial cuts that vary smoothly with hadron momentum, scattering angle q and azimuthal angle fh. Some sample results for sector 1 are shown in Figure 6. Fig 5. Sector 1, 2.56 Normal Torus Polarity data, momentum bin 9. Figure 9. Effect of hadron fiducial cuts on hadron acceptance for e-p events, 2.6 GeV, reversed polarity data. Figure 10. Same as Figure 9 for 2.6 GeV, normal polarity data. Figure 11. Same as Figure 9 for 4.2 GeV, normal polarity data. Conclusions Fig 6. Sector 1, 2.56 reversed torus polarity. • We have selection criteria for protons and pions in electron-hadron coincidences in CLAS with a uniform azimuthal dependence for all three sets of E5 running conditions in CLAS. • A trapezoidal fit was used in more than 10,000 kinematic bins in hadron momentum, scattering angle, and azimuthal angle (generation 1 fits). • The edges of the fiducial region were fitted to a smooth function in scattering angle for each momentum bin (generation 2 fits). • The momentum dependence of the generation 2 fits has been fitted to a smooth function (generation 3 fits).