Search NASASearch

DOE OSTI · 3012108

The STAR Forward Silicon Tracker

Brandenburg, J. D. [Brookhaven National Laboratory (BNL), Upton, NY (United States); Ohio State University, Columbus, OH (United States)]·Chang, Y. [National Cheng Kung University, Tainan (Taiwan); Purdue University, West Lafayette, IN (United States)]·Dong, J. [Shandong University (China)]·He, Y. [Shandong University (China)] (ORCID:0000000158616498)·Hu, Y. [Brookhaven National Laboratory (BNL), Upton, NY (United States); Fudan University, Shanghai (China); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000200788497)·Huang, B. [University of Illinois at Chicago, IL (United States)]·Huang, H. [National Cheng Kung University, Tainan (Taiwan)] (ORCID:0000000304416786)·Huang, T. [University of Illinois at Chicago, IL (United States); National Cheng Kung University, Tainan (Taiwan)]·Li, H. [National Cheng Kung University, Tainan (Taiwan); Purdue University, West Lafayette, IN (United States)]·Nie, M. [Shandong University (China)] (ORCID:0000000319919490)·Sharma, R. [Brookhaven National Laboratory (BNL), Upton, NY (United States)]·Sun, X. [Chinese Academy of Sciences, Gansu (China); University of Illinois at Chicago, IL (United States)] (ORCID:0000000224000684)·Tribedy, P. [Brookhaven National Laboratory (BNL), Upton, NY (United States)]·Videbæk, F. [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:0000000167465644)·Visser, G. [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:000000032495758X)·Wilks, G. [University of Illinois at Chicago, IL (United States)]·Wang, P. [National Cheng Kung University, Tainan (Taiwan)]·Xie, G. [University of Illinois at Chicago, IL (United States); University of Chinese Academy of Sciences, Beijing (China)] (ORCID:0000000272797229)·Yan, G. [Shandong University (China)] (ORCID:0000000215790135)·Ye, Z. [University of Illinois at Chicago, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000160916772)·Yi, L. [Shandong University (China)] (ORCID:0000000275122657)·Yang, Y. [Academia Sinica, Taipei (Taiwan); National Cheng Kung University, Tainan (Taiwan)]·Zhang, S. [University of Illinois at Chicago, IL (United States); Chongqing University (China)] (ORCID:0000000240427063)·Zhang, Z. [University of Illinois at Chicago, IL (United States)] (ORCID:0000000175682753)

Abstract

The Forward Silicon Tracker (FST) is a pivotal component of the forward upgrade of the Solenoidal Tracker at RHIC (STAR), designed to discern hadron charge signs with a momentum resolution better than 30% for 0.2 < p T < 2GeV/c in the 2.5 < η < 4 pseudorapidity range. Its compact design features three disks along the beam direction, minimized material budget, and scattering effects. The FST uses Hamamatsu’s p-in-n silicon strip sensors with a double metal layer that enables efficient signal routing to the readout electronics, enhancing overall detector performance. The flexible hybrid boards, essential for the readout system, are constructed with Kapton and copper layers to optimize signal handling and power distribution. These boards connect silicon strips to analogue pipeline ASIC APV25-S1 chips, which read up to 128 channels each. A cooling system with nonconducting, volatile NOVEC 7200 coolant at 22.2 °C mitigates ASIC-generated heat. Furthermore, the FST enhances forward tracking performance at STAR as an integral part of the forward upgrade.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Brandenburg, J. D. [Brookhaven National Laboratory (BNL), Upton, NY (United States); Ohio State University, Columbus, OH (United States)], Chang, Y. [National Cheng Kung University, Tainan (Taiwan); Purdue University, West Lafayette, IN (United States)], Dong, J. [Shandong University (China)], He, Y. [Shandong University (China)] (ORCID:0000000158616498), Hu, Y. [Brookhaven National Laboratory (BNL), Upton, NY (United States); Fudan University, Shanghai (China); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000200788497), Huang, B. [University of Illinois at Chicago, IL (United States)], Huang, H. [National Cheng Kung University, Tainan (Taiwan)] (ORCID:0000000304416786), Huang, T. [University of Illinois at Chicago, IL (United States); National Cheng Kung University, Tainan (Taiwan)], Li, H. [National Cheng Kung University, Tainan (Taiwan); Purdue University, West Lafayette, IN (United States)], Nie, M. [Shandong University (China)] (ORCID:0000000319919490), Sharma, R. [Brookhaven National Laboratory (BNL), Upton, NY (United States)], Sun, X. [Chinese Academy of Sciences, Gansu (China); University of Illinois at Chicago, IL (United States)] (ORCID:0000000224000684), Tribedy, P. [Brookhaven National Laboratory (BNL), Upton, NY (United States)], Videbæk, F. [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:0000000167465644), Visser, G. [Brookhaven National Laboratory (BNL), Upton, NY (United States)] (ORCID:000000032495758X), Wilks, G. [University of Illinois at Chicago, IL (United States)], Wang, P. [National Cheng Kung University, Tainan (Taiwan)], Xie, G. [University of Illinois at Chicago, IL (United States); University of Chinese Academy of Sciences, Beijing (China)] (ORCID:0000000272797229), Yan, G. [Shandong University (China)] (ORCID:0000000215790135), Ye, Z. [University of Illinois at Chicago, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000160916772), Yi, L. [Shandong University (China)] (ORCID:0000000275122657), Yang, Y. [Academia Sinica, Taipei (Taiwan); National Cheng Kung University, Tainan (Taiwan)], Zhang, S. [University of Illinois at Chicago, IL (United States); Chongqing University (China)] (ORCID:0000000240427063), Zhang, Z. [University of Illinois at Chicago, IL (United States)] (ORCID:0000000175682753). 2025-01-07. The STAR Forward Silicon Tracker. https://doi.org/10.1016/j.nima.2025.170202

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Design-informed neutronics assessment of long-lived fission product transmutation in a tokamak fusion reactor blanket

This study presents a neutronics-based assessment of the feasibility and viability of transmuting six major long-lived fission products (LLFPs) from light-water reactors, namely 99 Tc, 129 I, 79 Se, 93 Zr, 126 Sn, and 135 Cs, within the blanket region of a tokamak fusion reactor, using the MIT ARC design as a concrete fusion configuration. Monte Carlo neutronics simulations were performed to evaluate LLFP transmutation and to compare the results with a reference boiling water reactor (BWR). The results indicate that transmutation of all six LLFPs is neutronics-feasible in fusion reactors, with transmutation half-lives significantly shorter than their natural decay half-lives. For elemental targets, transmutation of 135 Cs, 126 Sn, and 93 Zr was found potentially viable, as the net mass transmuted exceeded that achievable in the reference BWR under identical target volume and irradiation time. When isotopically separated targets were considered, transmutation of 126 Sn and 93 Zr appeared potentially viable. A parametric study demonstrated that plasma geometry modifications can enhance local neutron flux, increasing the transmuted 93 Zr mass by approximately 33% and reducing the transmutation half-life from approximately 240 years to 180 years. Repositioning the target and adjusting material layer thickness reduced the transmutation half-life of 93 Zr to 67 years and increased the net mass transmuted by a factor of 50. Furthermore, these results demonstrate that fusion reactors can enable LLFP transmutation beyond the practical limits of thermal fission reactors and highlight the critical role of reactor and blanket design optimization. Engineering and fuel-cycle considerations required for deployment are beyond the scope of this neutronics-focused study.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS

A hybrid Monte Carlo-deterministic second moment method with efficient variance reduction

In this work, we present a hybrid method that combines Monte Carlo with deterministic finite element methods to solve a linear Boltzmann transport equation. Our hybrid method runs orders of magnitude faster than Monte Carlo, without sacrificing accuracy, for a proxy problem from radiative transfer that contains both optically-thick and optically-thin material. We believe that this is the first demonstration of a hybrid Second Moment Method in more than one spatial dimension, the first to consider more than one material, and the first to use variance reduction. Our variance reduction approach arises from an asymptotic analysis in which we show that the magnitude of the scattering source grows without bound. We transform the problem to compute the deviation of the radiation intensity from isotropy. The magnitude of the source in the transformed problem is bounded, and the quality of the hybrid method solution is dramatically improved by a substantial reduction in the variance.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS