The data acquisition system of the LZ dark matter detector: FADR

The Data Acquisition System (DAQ) for the LUX-ZEPLIN (LZ) dark matter detector is described. The signals from 745 PMTs, distributed across three subsystems, are sampled with 100-MHz 32-channel digitizers (DDC-32s). A basic waveform analysis is carried out on the on-board Field Programmable Gate Arra...

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Veröffentlicht in:	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment Accelerators, spectrometers, detectors and associated equipment, 2024-11, Vol.1068, p.169712, Article 169712
Hauptverfasser:	Aalbers, J., Al Musalhi, A.K., Amarasinghe, C.S., Araújo, H.M., Armstrong, J.E., Baker, A., Balashov, S., Bang, J., Beattie, K., Boxer, B., Brew, C.A.J., Brás, P., Buckley, J.H., Burdin, S., Carmona-Benitez, M.C., Chin, Y.T., Cottle, A., Cox, G., Curran, D., Dahl, C.E., David, A., de Viveiros, L., Dimino, T., Dobson, J.E.Y., Fiorucci, S., Fraser, E.D., Fruth, T.M.A., Geffre, A., Gelfand, R., Ghag, C., Gokhale, S., van der Grinten, M.G.D., Haiston, J.J., Hall, C.R., Han, S., James, R.S., Kamaha, A.C., Khaitan, D., Khazov, A., Khurana, I., Kim, J., Kingston, J., Kodroff, D., Korley, L., Leonard, D.S., Lesko, K.T., Levy, C., Lorenzon, W., Majewski, P.A., Manalaysay, A., Mannino, R.L., McDowell, G., McLaughlin, J., McMonigle, R., Mizrachi, E., Monzani, M.E., Moongweluwan, M., Morrison, E., Mount, B.J., Murdy, M., Neves, F., Nikoleyczik, J.A., Olevitch, M.A., Oliver-Mallory, K.C., Orpwood, J., Palmer, J., Pannifer, N.J., Pereira, G., Pershing, T., Piepke, A., Reichenbacher, J., Rhyne, C.A., Riyat, H.S., Rushton, T., Schnee, R.W., Shaw, S., Silva, C., Siniscalco, J., Skulski, W., Smith, R., Solovov, V.N., Sorensen, P., Soria, J., Stancu, I., Sumner, T.J., Szydagis, M., Timalsina, M., Tovey, D.R., Tranter, J., Tripathi, M., Vacheret, A., Vaitkus, A.C., Valentino, O., Watson, J.R., Williams, M., Wolfs, J.D., Wright, C.J., Xia, Q., Xiang, X., Yin, J.
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Sprache:	eng
Schlagworte:	Dark matter Data acquisition Firmware FPGA
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creator	Aalbers, J. Al Musalhi, A.K. Amarasinghe, C.S. Araújo, H.M. Armstrong, J.E. Baker, A. Balashov, S. Bang, J. Beattie, K. Boxer, B. Brew, C.A.J. Brás, P. Buckley, J.H. Burdin, S. Carmona-Benitez, M.C. Chin, Y.T. Cottle, A. Cox, G. Curran, D. Dahl, C.E. David, A. de Viveiros, L. Dimino, T. Dobson, J.E.Y. Fiorucci, S. Fraser, E.D. Fruth, T.M.A. Geffre, A. Gelfand, R. Ghag, C. Gokhale, S. van der Grinten, M.G.D. Haiston, J.J. Hall, C.R. Han, S. James, R.S. Kamaha, A.C. Khaitan, D. Khazov, A. Khurana, I. Kim, J. Kingston, J. Kodroff, D. Korley, L. Leonard, D.S. Lesko, K.T. Levy, C. Lorenzon, W. Majewski, P.A. Manalaysay, A. Mannino, R.L. McDowell, G. McLaughlin, J. McMonigle, R. Mizrachi, E. Monzani, M.E. Moongweluwan, M. Morrison, E. Mount, B.J. Murdy, M. Neves, F. Nikoleyczik, J.A. Olevitch, M.A. Oliver-Mallory, K.C. Orpwood, J. Palmer, J. Pannifer, N.J. Pereira, G. Pershing, T. Piepke, A. Reichenbacher, J. Rhyne, C.A. Riyat, H.S. Rushton, T. Schnee, R.W. Shaw, S. Silva, C. Siniscalco, J. Skulski, W. Smith, R. Solovov, V.N. Sorensen, P. Soria, J. Stancu, I. Sumner, T.J. Szydagis, M. Timalsina, M. Tovey, D.R. Tranter, J. Tripathi, M. Vacheret, A. Vaitkus, A.C. Valentino, O. Watson, J.R. Williams, M. Wolfs, J.D. Wright, C.J. Xia, Q. Xiang, X. Yin, J.
description	The Data Acquisition System (DAQ) for the LUX-ZEPLIN (LZ) dark matter detector is described. The signals from 745 PMTs, distributed across three subsystems, are sampled with 100-MHz 32-channel digitizers (DDC-32s). A basic waveform analysis is carried out on the on-board Field Programmable Gate Arrays (FPGAs) to extract information about the observed scintillation and electroluminescence signals. This information is used to determine if the digitized waveforms should be preserved for offline analysis. The system is designed around the Kintex-7 FPGA. In addition to digitizing the PMT signals and providing basic event selection in real time, the flexibility provided by the use of FPGAs allows us to monitor the performance of the detector and the DAQ in parallel to normal data acquisition. The hardware and software/firmware of this FPGA-based Architecture for Data acquisition and Realtime monitoring (FADR) are discussed and performance measurements are described.
doi_str_mv	10.1016/j.nima.2024.169712
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The signals from 745 PMTs, distributed across three subsystems, are sampled with 100-MHz 32-channel digitizers (DDC-32s). A basic waveform analysis is carried out on the on-board Field Programmable Gate Arrays (FPGAs) to extract information about the observed scintillation and electroluminescence signals. This information is used to determine if the digitized waveforms should be preserved for offline analysis. The system is designed around the Kintex-7 FPGA. In addition to digitizing the PMT signals and providing basic event selection in real time, the flexibility provided by the use of FPGAs allows us to monitor the performance of the detector and the DAQ in parallel to normal data acquisition. 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J.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0001-8693-1196</orcidid><orcidid>https://orcid.org/0000000186931196</orcidid></search><sort><creationdate>20241101</creationdate><title>The data acquisition system of the LZ dark matter detector: FADR</title><author>Aalbers, J. ; Al Musalhi, A.K. ; Amarasinghe, C.S. ; Araújo, H.M. ; Armstrong, J.E. ; Baker, A. ; Balashov, S. ; Bang, J. ; Beattie, K. ; Boxer, B. ; Brew, C.A.J. ; Brás, P. ; Buckley, J.H. ; Burdin, S. ; Carmona-Benitez, M.C. ; Chin, Y.T. ; Cottle, A. ; Cox, G. ; Curran, D. ; Dahl, C.E. ; David, A. ; de Viveiros, L. ; Dimino, T. ; Dobson, J.E.Y. ; Fiorucci, S. ; Fraser, E.D. ; Fruth, T.M.A. ; Geffre, A. ; Gelfand, R. ; Ghag, C. ; Gokhale, S. ; van der Grinten, M.G.D. ; Haiston, J.J. ; Hall, C.R. ; Han, S. ; James, R.S. ; Kamaha, A.C. ; Khaitan, D. ; Khazov, A. ; Khurana, I. ; Kim, J. ; Kingston, J. ; Kodroff, D. ; Korley, L. ; Leonard, D.S. ; Lesko, K.T. ; Levy, C. ; Lorenzon, W. ; Majewski, P.A. ; Manalaysay, A. ; Mannino, R.L. ; McDowell, G. ; McLaughlin, J. ; McMonigle, R. ; Mizrachi, E. ; Monzani, M.E. ; Moongweluwan, M. ; Morrison, E. ; Mount, B.J. ; Murdy, M. ; Neves, F. ; Nikoleyczik, J.A. ; Olevitch, M.A. ; Oliver-Mallory, K.C. ; Orpwood, J. ; Palmer, J. ; Pannifer, N.J. ; Pereira, G. ; Pershing, T. ; Piepke, A. ; Reichenbacher, J. ; Rhyne, C.A. ; Riyat, H.S. ; Rushton, T. ; Schnee, R.W. ; Shaw, S. ; Silva, C. ; Siniscalco, J. ; Skulski, W. ; Smith, R. ; Solovov, V.N. ; Sorensen, P. ; Soria, J. ; Stancu, I. ; Sumner, T.J. ; Szydagis, M. ; Timalsina, M. ; Tovey, D.R. ; Tranter, J. ; Tripathi, M. ; Vacheret, A. ; Vaitkus, A.C. ; Valentino, O. ; Watson, J.R. ; Williams, M. ; Wolfs, J.D. ; Wright, C.J. ; Xia, Q. ; Xiang, X. ; Yin, 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J.</creatorcontrib><creatorcontrib>Univ. of Rochester, NY (United States)</creatorcontrib><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aalbers, J.</au><au>Al Musalhi, A.K.</au><au>Amarasinghe, C.S.</au><au>Araújo, H.M.</au><au>Armstrong, J.E.</au><au>Baker, A.</au><au>Balashov, S.</au><au>Bang, J.</au><au>Beattie, K.</au><au>Boxer, B.</au><au>Brew, C.A.J.</au><au>Brás, P.</au><au>Buckley, J.H.</au><au>Burdin, S.</au><au>Carmona-Benitez, M.C.</au><au>Chin, Y.T.</au><au>Cottle, A.</au><au>Cox, G.</au><au>Curran, D.</au><au>Dahl, C.E.</au><au>David, A.</au><au>de Viveiros, L.</au><au>Dimino, T.</au><au>Dobson, J.E.Y.</au><au>Fiorucci, S.</au><au>Fraser, E.D.</au><au>Fruth, T.M.A.</au><au>Geffre, A.</au><au>Gelfand, R.</au><au>Ghag, C.</au><au>Gokhale, S.</au><au>van der Grinten, M.G.D.</au><au>Haiston, J.J.</au><au>Hall, C.R.</au><au>Han, S.</au><au>James, R.S.</au><au>Kamaha, A.C.</au><au>Khaitan, D.</au><au>Khazov, A.</au><au>Khurana, I.</au><au>Kim, J.</au><au>Kingston, J.</au><au>Kodroff, D.</au><au>Korley, L.</au><au>Leonard, D.S.</au><au>Lesko, K.T.</au><au>Levy, C.</au><au>Lorenzon, W.</au><au>Majewski, P.A.</au><au>Manalaysay, A.</au><au>Mannino, R.L.</au><au>McDowell, G.</au><au>McLaughlin, J.</au><au>McMonigle, R.</au><au>Mizrachi, E.</au><au>Monzani, M.E.</au><au>Moongweluwan, M.</au><au>Morrison, E.</au><au>Mount, B.J.</au><au>Murdy, M.</au><au>Neves, F.</au><au>Nikoleyczik, J.A.</au><au>Olevitch, M.A.</au><au>Oliver-Mallory, K.C.</au><au>Orpwood, J.</au><au>Palmer, J.</au><au>Pannifer, N.J.</au><au>Pereira, G.</au><au>Pershing, T.</au><au>Piepke, A.</au><au>Reichenbacher, J.</au><au>Rhyne, C.A.</au><au>Riyat, H.S.</au><au>Rushton, T.</au><au>Schnee, R.W.</au><au>Shaw, S.</au><au>Silva, C.</au><au>Siniscalco, J.</au><au>Skulski, W.</au><au>Smith, R.</au><au>Solovov, V.N.</au><au>Sorensen, P.</au><au>Soria, J.</au><au>Stancu, I.</au><au>Sumner, T.J.</au><au>Szydagis, M.</au><au>Timalsina, M.</au><au>Tovey, D.R.</au><au>Tranter, J.</au><au>Tripathi, M.</au><au>Vacheret, A.</au><au>Vaitkus, A.C.</au><au>Valentino, O.</au><au>Watson, J.R.</au><au>Williams, M.</au><au>Wolfs, J.D.</au><au>Wright, C.J.</au><au>Xia, Q.</au><au>Xiang, X.</au><au>Yin, J.</au><aucorp>Univ. of Rochester, NY (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The data acquisition system of the LZ dark matter detector: FADR</atitle><jtitle>Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment</jtitle><date>2024-11-01</date><risdate>2024</risdate><volume>1068</volume><spage>169712</spage><pages>169712-</pages><artnum>169712</artnum><issn>0168-9002</issn><abstract>The Data Acquisition System (DAQ) for the LUX-ZEPLIN (LZ) dark matter detector is described. The signals from 745 PMTs, distributed across three subsystems, are sampled with 100-MHz 32-channel digitizers (DDC-32s). A basic waveform analysis is carried out on the on-board Field Programmable Gate Arrays (FPGAs) to extract information about the observed scintillation and electroluminescence signals. This information is used to determine if the digitized waveforms should be preserved for offline analysis. The system is designed around the Kintex-7 FPGA. In addition to digitizing the PMT signals and providing basic event selection in real time, the flexibility provided by the use of FPGAs allows us to monitor the performance of the detector and the DAQ in parallel to normal data acquisition. The hardware and software/firmware of this FPGA-based Architecture for Data acquisition and Realtime monitoring (FADR) are discussed and performance measurements are described.</abstract><cop>United States</cop><pub>Elsevier B.V</pub><doi>10.1016/j.nima.2024.169712</doi><orcidid>https://orcid.org/0000-0001-8693-1196</orcidid><orcidid>https://orcid.org/0000000186931196</orcidid><oa>free_for_read</oa></addata></record>
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identifier	ISSN: 0168-9002
ispartof	Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2024-11, Vol.1068, p.169712, Article 169712
issn	0168-9002
language	eng
recordid	cdi_osti_scitechconnect_2478251
source	Elsevier ScienceDirect Journals
subjects	Dark matter Data acquisition Firmware FPGA
title	The data acquisition system of the LZ dark matter detector: FADR
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