Sensor Alignment by Tracks
نویسندگان
چکیده
Good geometrical calibration is essential in the use of high resolution detectors. The individual sensors in the detector have to be calibrated with an accuracy better than the intrinsic resolution, which typically is of the order of 10μm. We present an effective method to perform fine calibration of sensor positions in a detector assembly consisting of a large number of pixel and strip sensors. Up to six geometric parameters, three for location and three for orientation, can be computed for each sensor on a basis of particle trajectories traversing the detector system. The performance of the method is demonstrated with both simulated tracks and tracks reconstructed from experimental data. We also present a brief review of other alignment methods reported in the literature.
منابع مشابه
Alignment of the ALICE Inner Tracking System with cosmic-ray tracks
ALICE (A Large Ion Collider Experiment) is the LHC (Large Hadron Collider) experiment devoted to investigating the strongly interacting matter created in nucleus-nucleus collisions at the LHC energies. The ALICE ITS, Inner Tracking System, consists of six cylindrical layers of silicon detectors with three different technologies; in the outward direction: two layers of pixel detectors, two layer...
متن کاملA Simple Iterative Alignment Method Using Gradient Descending Minimum Search
Large tracking systems of present experiments in high energy physics consist of typically 10 individual detector elements. The alignment procedure has to fix up to 10 parameters. We propose a simple and robust iterative updating alignment method using reconstructed tracks. The geometrical parameters are adjusted using a gradient descending minimum search which does not require handling of large...
متن کاملFine Calibration of Detector Positions by Tracks in Helsinki Silicon Beam Telescope
An efficient algorithm is presented to perform fine calibration of detector positions in a beam telescope. Data from Helsinki Silicon Beam Telescope (SiBT) are used to demonstrate the performance of the algorithm. The intrinsic alignment precision obtained is better than 1 μm in location and about 20 μrad in orientation. The algorithm is described in detail and results on performance are presen...
متن کاملEffects of Placement Errors on Performance of Vlf Metal Detector Heads
Metal-detector performance depends heavily on the sensor head. Errors in coil placement within the head can lead to degradation in detector performance. Electromagnetic modelling of typical very-low-frequency detector heads shows the effect of coil placement errors on detector sensitivity. Provided the bucking coil ‘tracks’ the receive coil, required error corrections can remain small. A correc...
متن کاملArchitectures and Algorithms for Track Association and Fusion
Target tracking using multiple sensors can provide better performance than using a single sensor. One approach to multiple target tracking with multiple sensors is to first perform single sensor tracking and then fuse the tracks from the different sensors. Two processing architectures for track fusion are presented: sensor to sensor track fusion, and sensor to system track fusion. Technical iss...
متن کامل