1 / 14

Read out & data analysis of the MVD demonstrator

Read out & data analysis of the MVD demonstrator. S. Amar-Youcef , M. Deveaux, I. Fröhlich, J. Michel, C. Müntz, C. Schrader, S. Seddiki, T. Tischler, and J. Stroth. Outline. Goals Read out & data analysis software First measurements Test of data consistency

cybill
Download Presentation

Read out & data analysis of the MVD demonstrator

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Read out & data analysis of the MVD demonstrator S. Amar-Youcef, M. Deveaux, I. Fröhlich, J. Michel, C. Müntz, C. Schrader, S. Seddiki, T. Tischler, and J. Stroth

  2. Outline • Goals • Read out & data analysis software • First measurements • Test of data consistency • Quality of the analog readout chain • Summary 13th CBM Collaboration Meeting

  3. Goals of the software • Validation of the demonstrator • Build C++ platform to test data sparsification algorithms and to compare with FPGA-implementation. • Interfacing the demonstrator with CBM-Root and the Strasbourg pixel telescope • Option to interface this algorithm with the CBMRoot digitizer to test it in simulation 13th CBM Collaboration Meeting

  4. GEANT+ MVD Digitizer AD conversion Strasbourg pixel beam telescope Raw data transfer (Mode 0) FPGA data sparsification (Mode 1) Digitizer data sparsification HDD Reader + Offline data sparsification Reader Reader Analog/Digital cluster finder Dedicated analysis, validation, radhardness, … CBMRoot interface MVD-clusters or MVD-hits Data acquisition & Demonstrator Analysis Software (DAS) MIMOSA - chip HDD 13th CBM Collaboration Meeting

  5. GEANT+ MVD Digitizer Strasbourg pixel beam telescope FPGA data sparsification (Mode 1) Digitizer data sparsification Reader Reader CBMRoot interface MVD-clusters or MVD-hits Status MIMOSA - chip AD conversion Raw data transfer (Mode 0) HDD HDD Reader + Offline data sparsification Analogcluster finder Analog/Digital cluster finder Dedicated analysis, validation, radhardness, … 13th CBM Collaboration Meeting

  6. MAPS add-on board Demo-AUX analogue output sync. signals Mi20 board (Previously tested with Strasbourg reference system) Trb2 (TRBnet)‏ or data transfer: I/O-card data transfer: OP-link monitoring Test-setup File Server First usecase of the DAS Validation of analog readout chain of the demonstrator 13th CBM Collaboration Meeting

  7. Test of data consistency • Constant pixel sequence in frames, Since data is rearranged Frame 0 Frame 1 Signal (ADC units) Signal (ADC units) column row column row Any shift in pixel order reflect the dynamic range! If correctly arranged: CDS eliminates the dynamic range. 13th CBM Collaboration Meeting

  8. Performing CDS Frame 0 Frame 1 CDS Signal (ADC units) Tested for several 1000 consecutive frames => OK column row 13th CBM Collaboration Meeting

  9. Test of data consistency • Hit distribution reproduces illumination spot by 55Fe-source Picture of the collimator of the Fe55-source Order of pixels seems to be OK! 13th CBM Collaboration Meeting

  10. Quality of the analog readout chain • Significant parameters • Particle detection ability • Gain • Noise 13th CBM Collaboration Meeting

  11. Particle detection ability Cluster-building for charge spectrum (55Fe-source) • Significant hits (amplitude > 5*noise) → seed candidate • Test seed candidates: no adjacent pixel with larger amplitude • Seed found: take all adjacent pixels to build cluster Diode Hits Entries Margin Hits Hit-Cluster As expected from reference system => OK CDS-Signal (ADC) 13th CBM Collaboration Meeting

  12. Gain test • Using photons from 55Fe-source for ADC calibration Gain = 6e/ADC Small, irrelevant variation with respect to reference system (Expected K-Peaks at 400ADC) => OK Kα Entries Kβ Margin Hits CDS-Signal (ADC) 13th CBM Collaboration Meeting

  13. Noise measurement Noise: RMS of the fluctuations of the pixels over time F0-F1 RMS of Individual pixels Signal (ADC units) row column Mean noise = 33e => Expected 25e Origin of additional noise was identified (preliminary analog cable). Building an dedicated cable is in progress, expect results within two weeks. 13th CBM Collaboration Meeting

  14. Summary • The Demonstrator Analysis Software (DAS) is a software to analyse the data of the MVD-demonstrator within CBMRoot. • It will allow to test the same data sparsification algorithms with real data and simulated data. • It will interface the MVD + the Strasbourg pixel telescope with CBMRoot • DAS was used to validate the FPGA-board of the MVD-demonstrator using a tested MIMOSA-20 chip. • The data consistency of the FPGA-board was confirmed. • The hit finding ability of the FPGA-board was confirmed. • The source of a small additional noise with respect to the slower reference system was identified and will be fixed within the next weeks. • The tests performed confirm the validity of the design of the FPGA-Board 13th CBM Collaboration Meeting

More Related