Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications
Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due...
Ausführliche Beschreibung
Autor*in: |
Currás, E. [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020transfer abstract |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol - Ide, C.V. ELSEVIER, 2017, a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics, Amsterdam |
---|---|
Übergeordnetes Werk: |
volume:958 ; year:2020 ; day:1 ; month:04 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1016/j.nima.2019.162545 |
---|
Katalog-ID: |
ELV049451227 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV049451227 | ||
003 | DE-627 | ||
005 | 20230626024401.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200518s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.nima.2019.162545 |2 doi | |
028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica |
035 | |a (DE-627)ELV049451227 | ||
035 | |a (ELSEVIER)S0168-9002(19)31072-1 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 610 |q VZ |
084 | |a 44.90 |2 bkl | ||
100 | 1 | |a Currás, E. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
264 | 1 | |c 2020transfer abstract | |
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. | ||
520 | |a Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. | ||
650 | 7 | |a Jitter |2 Elsevier | |
650 | 7 | |a Timing detector |2 Elsevier | |
650 | 7 | |a iLGAD |2 Elsevier | |
650 | 7 | |a Microstrip |2 Elsevier | |
650 | 7 | |a LGAD |2 Elsevier | |
650 | 7 | |a Gain |2 Elsevier | |
700 | 1 | |a Carulla, M. |4 oth | |
700 | 1 | |a Centis Vignali, M. |4 oth | |
700 | 1 | |a Duarte-Campderros, J. |4 oth | |
700 | 1 | |a Fernández, M. |4 oth | |
700 | 1 | |a Flores, D. |4 oth | |
700 | 1 | |a García, A. |4 oth | |
700 | 1 | |a Gómez, G. |4 oth | |
700 | 1 | |a González, J. |4 oth | |
700 | 1 | |a Hidalgo, S. |4 oth | |
700 | 1 | |a Jaramillo, R. |4 oth | |
700 | 1 | |a Merlos, A. |4 oth | |
700 | 1 | |a Moll, M. |4 oth | |
700 | 1 | |a Pellegrini, G. |4 oth | |
700 | 1 | |a Quirion, D. |4 oth | |
700 | 1 | |a Vila, Iván |4 oth | |
773 | 0 | 8 | |i Enthalten in |n North-Holland Publ. Co |a Ide, C.V. ELSEVIER |t The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |d 2017 |d a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics |g Amsterdam |w (DE-627)ELV000874671 |
773 | 1 | 8 | |g volume:958 |g year:2020 |g day:1 |g month:04 |g pages:0 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.nima.2019.162545 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a SSG-OLC-PHA | ||
936 | b | k | |a 44.90 |j Neurologie |q VZ |
951 | |a AR | ||
952 | |d 958 |j 2020 |b 1 |c 0401 |h 0 |
author_variant |
e c ec |
---|---|
matchkey_str |
currsecarullamcentisvignalimduartecampde:2020----:neslwanvlnhdtcoslasopeiercig |
hierarchy_sort_str |
2020transfer abstract |
bklnumber |
44.90 |
publishDate |
2020 |
allfields |
10.1016/j.nima.2019.162545 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica (DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl Currás, E. verfasserin aut Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier Carulla, M. oth Centis Vignali, M. oth Duarte-Campderros, J. oth Fernández, M. oth Flores, D. oth García, A. oth Gómez, G. oth González, J. oth Hidalgo, S. oth Jaramillo, R. oth Merlos, A. oth Moll, M. oth Pellegrini, G. oth Quirion, D. oth Vila, Iván oth Enthalten in North-Holland Publ. Co Ide, C.V. ELSEVIER The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol 2017 a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics Amsterdam (DE-627)ELV000874671 volume:958 year:2020 day:1 month:04 pages:0 https://doi.org/10.1016/j.nima.2019.162545 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 958 2020 1 0401 0 |
spelling |
10.1016/j.nima.2019.162545 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica (DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl Currás, E. verfasserin aut Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier Carulla, M. oth Centis Vignali, M. oth Duarte-Campderros, J. oth Fernández, M. oth Flores, D. oth García, A. oth Gómez, G. oth González, J. oth Hidalgo, S. oth Jaramillo, R. oth Merlos, A. oth Moll, M. oth Pellegrini, G. oth Quirion, D. oth Vila, Iván oth Enthalten in North-Holland Publ. Co Ide, C.V. ELSEVIER The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol 2017 a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics Amsterdam (DE-627)ELV000874671 volume:958 year:2020 day:1 month:04 pages:0 https://doi.org/10.1016/j.nima.2019.162545 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 958 2020 1 0401 0 |
allfields_unstemmed |
10.1016/j.nima.2019.162545 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica (DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl Currás, E. verfasserin aut Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier Carulla, M. oth Centis Vignali, M. oth Duarte-Campderros, J. oth Fernández, M. oth Flores, D. oth García, A. oth Gómez, G. oth González, J. oth Hidalgo, S. oth Jaramillo, R. oth Merlos, A. oth Moll, M. oth Pellegrini, G. oth Quirion, D. oth Vila, Iván oth Enthalten in North-Holland Publ. Co Ide, C.V. ELSEVIER The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol 2017 a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics Amsterdam (DE-627)ELV000874671 volume:958 year:2020 day:1 month:04 pages:0 https://doi.org/10.1016/j.nima.2019.162545 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 958 2020 1 0401 0 |
allfieldsGer |
10.1016/j.nima.2019.162545 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica (DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl Currás, E. verfasserin aut Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier Carulla, M. oth Centis Vignali, M. oth Duarte-Campderros, J. oth Fernández, M. oth Flores, D. oth García, A. oth Gómez, G. oth González, J. oth Hidalgo, S. oth Jaramillo, R. oth Merlos, A. oth Moll, M. oth Pellegrini, G. oth Quirion, D. oth Vila, Iván oth Enthalten in North-Holland Publ. Co Ide, C.V. ELSEVIER The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol 2017 a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics Amsterdam (DE-627)ELV000874671 volume:958 year:2020 day:1 month:04 pages:0 https://doi.org/10.1016/j.nima.2019.162545 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 958 2020 1 0401 0 |
allfieldsSound |
10.1016/j.nima.2019.162545 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica (DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.90 bkl Currás, E. verfasserin aut Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier Carulla, M. oth Centis Vignali, M. oth Duarte-Campderros, J. oth Fernández, M. oth Flores, D. oth García, A. oth Gómez, G. oth González, J. oth Hidalgo, S. oth Jaramillo, R. oth Merlos, A. oth Moll, M. oth Pellegrini, G. oth Quirion, D. oth Vila, Iván oth Enthalten in North-Holland Publ. Co Ide, C.V. ELSEVIER The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol 2017 a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics Amsterdam (DE-627)ELV000874671 volume:958 year:2020 day:1 month:04 pages:0 https://doi.org/10.1016/j.nima.2019.162545 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 958 2020 1 0401 0 |
language |
English |
source |
Enthalten in The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol Amsterdam volume:958 year:2020 day:1 month:04 pages:0 |
sourceStr |
Enthalten in The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol Amsterdam volume:958 year:2020 day:1 month:04 pages:0 |
format_phy_str_mv |
Article |
bklname |
Neurologie |
institution |
findex.gbv.de |
topic_facet |
Jitter Timing detector iLGAD Microstrip LGAD Gain |
dewey-raw |
610 |
isfreeaccess_bool |
false |
container_title |
The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |
authorswithroles_txt_mv |
Currás, E. @@aut@@ Carulla, M. @@oth@@ Centis Vignali, M. @@oth@@ Duarte-Campderros, J. @@oth@@ Fernández, M. @@oth@@ Flores, D. @@oth@@ García, A. @@oth@@ Gómez, G. @@oth@@ González, J. @@oth@@ Hidalgo, S. @@oth@@ Jaramillo, R. @@oth@@ Merlos, A. @@oth@@ Moll, M. @@oth@@ Pellegrini, G. @@oth@@ Quirion, D. @@oth@@ Vila, Iván @@oth@@ |
publishDateDaySort_date |
2020-01-01T00:00:00Z |
hierarchy_top_id |
ELV000874671 |
dewey-sort |
3610 |
id |
ELV049451227 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV049451227</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626024401.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200518s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.nima.2019.162545</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV049451227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0168-9002(19)31072-1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.90</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Currás, E.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Jitter</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Timing detector</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">iLGAD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Microstrip</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LGAD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gain</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carulla, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Centis Vignali, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duarte-Campderros, J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fernández, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Flores, D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">García, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gómez, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">González, J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hidalgo, S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jaramillo, R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merlos, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Moll, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pellegrini, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Quirion, D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vila, Iván</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">North-Holland Publ. Co</subfield><subfield code="a">Ide, C.V. ELSEVIER</subfield><subfield code="t">The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol</subfield><subfield code="d">2017</subfield><subfield code="d">a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV000874671</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:958</subfield><subfield code="g">year:2020</subfield><subfield code="g">day:1</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.nima.2019.162545</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.90</subfield><subfield code="j">Neurologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">958</subfield><subfield code="j">2020</subfield><subfield code="b">1</subfield><subfield code="c">0401</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
author |
Currás, E. |
spellingShingle |
Currás, E. ddc 610 bkl 44.90 Elsevier Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
authorStr |
Currás, E. |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000874671 |
format |
electronic Article |
dewey-ones |
610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
610 VZ 44.90 bkl Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain Elsevier |
topic |
ddc 610 bkl 44.90 Elsevier Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain |
topic_unstemmed |
ddc 610 bkl 44.90 Elsevier Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain |
topic_browse |
ddc 610 bkl 44.90 Elsevier Jitter Elsevier Timing detector Elsevier iLGAD Elsevier Microstrip Elsevier LGAD Elsevier Gain |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
m c mc v m c vm vmc j d c jdc m f mf d f df a g ag g g gg j g jg s h sh r j rj a m am m m mm g p gp d q dq i v iv |
hierarchy_parent_title |
The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |
hierarchy_parent_id |
ELV000874671 |
dewey-tens |
610 - Medicine & health |
hierarchy_top_title |
The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV000874671 |
title |
Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
ctrlnum |
(DE-627)ELV049451227 (ELSEVIER)S0168-9002(19)31072-1 |
title_full |
Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
author_sort |
Currás, E. |
journal |
The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |
journalStr |
The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Currás, E. |
container_volume |
958 |
class |
610 VZ 44.90 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Currás, E. |
doi_str_mv |
10.1016/j.nima.2019.162545 |
dewey-full |
610 |
title_sort |
inverse low gain avalanche detectors (ilgads) for precise tracking and timing applications |
title_auth |
Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
abstract |
Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. |
abstractGer |
Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. |
abstract_unstemmed |
Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
title_short |
Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications |
url |
https://doi.org/10.1016/j.nima.2019.162545 |
remote_bool |
true |
author2 |
Carulla, M. Centis Vignali, M. Duarte-Campderros, J. Fernández, M. Flores, D. García, A. Gómez, G. González, J. Hidalgo, S. Jaramillo, R. Merlos, A. Moll, M. Pellegrini, G. Quirion, D. Vila, Iván |
author2Str |
Carulla, M. Centis Vignali, M. Duarte-Campderros, J. Fernández, M. Flores, D. García, A. Gómez, G. González, J. Hidalgo, S. Jaramillo, R. Merlos, A. Moll, M. Pellegrini, G. Quirion, D. Vila, Iván |
ppnlink |
ELV000874671 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth |
doi_str |
10.1016/j.nima.2019.162545 |
up_date |
2024-07-06T21:37:20.279Z |
_version_ |
1803867222473441280 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV049451227</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626024401.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200518s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.nima.2019.162545</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000918.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV049451227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0168-9002(19)31072-1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.90</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Currás, E.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Inverse Low Gain Avalanche Detectors (iLGADs) for precise tracking and timing applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Low Gain Avalanche Detector (LGAD) is the baseline sensing technology of the recently proposed Minimum Ionizing Particle (MIP) end-cap timing detectors (MTD) at the Atlas and CMS experiments. The current MTD sensor is designed as a multi-pad matrix detector delivering a poor position resolution, due to the relatively large pad area, around 1 mm 2 ; and a good timing resolution, around 20–30 ps. Besides, in his current technological incarnation, the timing resolution of the MTD LGAD sensors is severely degraded once the MIP particle hits the inter-pad region since the signal amplification is missing for this region. This limitation is named as the LGAD fill-factor problem. To overcome the fill factor problem and the poor position resolution of the MTD LGAD sensors, a p-in-p LGAD (iLGAD) was introduced. Contrary to the conventional LGAD, the iLGAD has a non-segmented deep p-well (the multiplication layer). Therefore, iLGADs should ideally present a constant gain value over all the sensitive region of the device without gain drops between the signal collecting electrodes; in other words, iLGADs should have a 100 % fill-factor by design. In this paper, tracking and timing performance of the first iLGAD prototypes is presented.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Jitter</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Timing detector</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">iLGAD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Microstrip</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LGAD</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gain</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carulla, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Centis Vignali, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Duarte-Campderros, J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fernández, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Flores, D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">García, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gómez, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">González, J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hidalgo, S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jaramillo, R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merlos, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Moll, M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pellegrini, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Quirion, D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vila, Iván</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">North-Holland Publ. Co</subfield><subfield code="a">Ide, C.V. ELSEVIER</subfield><subfield code="t">The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol</subfield><subfield code="d">2017</subfield><subfield code="d">a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV000874671</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:958</subfield><subfield code="g">year:2020</subfield><subfield code="g">day:1</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.nima.2019.162545</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.90</subfield><subfield code="j">Neurologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">958</subfield><subfield code="j">2020</subfield><subfield code="b">1</subfield><subfield code="c">0401</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.4023275 |