Reduction of ECAL data volume using lossless data compression techniques

Abstract

We investigate the possibility of reducing the data size of the electromagnetic calorimeter(ECAL) of CMS. The Selective Readout is applied first to reduce the data size at a manageable level. Then various data compression methods are considered, and their performances are estimated using the data from the full simulation of the ECAL system. A reduction of the average event size by a factor of two or larger is obtained in most of the cases.

DPTC—An FPGA-Based Trace Compression

“…A common approach is the calculation of differences between values [16], [17], [18], [19], [20]. These differences may be between sampled data and a model [16] or between sampled data and a reference value (base) [17], [18] or between consecutive samples [16], [18], [19]. When dealing with signal traces, which are sampled at rates high enough that consecutive samples have values close to each other, i.e.…”

“…In some cases, through a pre-processing of the incoming data, a more advantageous probability distribution can be exploited. A common approach is the calculation of differences between values [16], [17], [18], [19], [20]. These differences may be between sampled data and a model [16] or between sampled data and a reference value (base) [17], [18] or between consecutive samples [16], [18], [19].…”