Abstract
In these proceedings, we present measurements of open bottom hadron production through multiple decay channels in Au + Au collisions at = 200 GeV by the STAR experiment. Specifically, measurements of nuclear modification factors for electrons, , and from open bottom hadron decays, enabled by the Heavy Flavor Tracker, are shown. A large suppression for non-prompt and non-prompt are observed at high transverse momenta. On the other hand, there seems to be less suppression for electrons from bottom hadron decays than for those from charm hadron decays at ∼ significance level.
1. Introduction
Heavy quarks are dominantly produced at early stages of relativistic heavy-ion collisions before the creation of the Quark-Gluon Plasma (QGP). They subsequently traverse the created system throughout its evolution, and thus can serve as an excellent probe for studying the properties of the QGP. By comparing the yields of electrons from decays of heavy-flavor hadrons at large transverse momenta () in Au + Au collisions with those in p + p collisions at = 200 GeV, a significant suppression has been observed [1]. This suppression is believed to be caused by the energy loss of heavy flavor quarks through interactions with the QGP, which is expected to be different for bottom and charm quarks because of their different masses [2]. Separate measurements of open bottom and charm hadron production in Au + Au collisions are crucial to test the mass hierarchy of parton energy loss in the QGP.
2. Measurements of Bottom Production at STAR
The STAR experiment utilizes the Time Projection Chamber, the Time Of Flight detector, and the Barrel Electromagnetic Calorimeter to reconstruct charged tracks and perform particle identification. The Heavy Flavor Tracker (HFT) was installed at STAR and participated in data taking from 2014 to 2016. It provides an excellent track pointing resolution (<30 m for charged particles with 1.5 GeV/c) for precise measurements of displaced vertices [3]. Therefore, the HFT can be used to separate particles from charm and bottom hadron decays by taking advantage of their different decay lengths.
2.1. Bottom Hadron Decay Electrons
The distance of the closest approach () to the collision vertex is used to separate the bottom hadron decay electrons () from charm hadron decay electrons (). The measured distribution in the transverse plane () for inclusive electrons is shown in the panel of Figure 1, along with the template fit including , , background from photonic electrons, and hadron contamination. The templates for and are obtained from a data-driven simulation coupled with a EvtGen [4] decayer, in which and decays are taken into account. The distribution for is broader than that for because of the longer lifetime of B hadrons. The template for photonic electrons, arising from gamma conversions, and Dalitz decays, is obtained from data and corrected for the electron reconstruction efficiency extracted from embedding based on HIJING [5] simulations. Furthermore, hadrons misidentified as electron candidates need to be accounted for. Their template is obtained from data and the magnitude is constrained by the inclusive electron purity. Through the template fitting, the fraction of in heavy-flavor hadron decay electrons is obtained, which is shown in the panel of Figure 1, along with that in p + p collisions [6]. An enhancement of the fraction is observed in Au + Au collisions compared to p + p collisions.
Figure 1.
(a) distribution for inclusive electrons with a template fit including , , and various background sources. Ratio of data to the fitted distribution. (b) fraction of as a function of . (c) and as a function of . Ratio of to as a function of .
The of and are obtained using:
where is the fraction of in Au + Au or p + p collisions, and is the of open heavy-flavor hadron decay electrons obtained by taking a ratio of heavy-flavor hadron decay electron yield in Au + Au collisions to that in p + p collisions normalized by the number of binary nucleon-nucleon collisions (). In the panel of Figure 1, the obtained , and the ratio of to in 0-80% central Au + Au collisions are shown. The is about 2.1 times larger than (∼ significance), which is consistent with the mass hierarchy of parton energy loss.
2.2. Non-Prompt
The pseudo-proper decay length is used to separate non-prompt and prompt and is defined as , where is B hadron flight path, the momentum, and the mass. The distribution for inclusive is shown in the panel of Figure 2, along with the template fit for non-prompt and prompt . The template for prompt is from FONLL calculation combined with a data-driven simulation of detector effects. For the non-prompt the template is obtained by decaying B-hadrons () from FONLL into via PYTHIA and taking into account detector effects. The fraction of non-prompt extracted from the template fit is shown in the panel of Figure 2, and compared to the CEM + FONLL calculation [7,8] for 200 GeV p + p collisions.
Figure 2.
(a) distribution for inclusive fitted with templates for non-prompt and prompt . (b) fraction of non-prompt as a function of . (c) of non-prompt as a function of compared with that of .
The of non-prompt is calculated as:
where is the fraction of non-prompt in Au + Au or p + p collisions and is the of inclusive . The panel of Figure 2 shows the of non-prompt , together with a comparison to that of inclusive in 0–80% centrality of 200 GeV Au + Au collisions. A strong suppression is observed for non-prompt at high and is similar to that of mesons.
2.3. Non-Prompt
The distribution is used to distinguish non-prompt from prompt ones. The panel of Figure 3 shows the distribution of inclusive , along with the template fit of non-prompt and prompt . The templates for non-prompt and prompt are obtained using the same method as for non-prompt and prompt . The extracted fractions of non-prompt in different centralities of 200 GeV Au + Au collisions are presented in the panel of Figure 3. The non-prompt fractions in p + p collisions are also shown, which are obtained by taking a ratio of non-prompt yield from FONLL [8] to inclusive yield either from FONLL [8] or from STAR measurements [9].
Figure 3.
(a) distribution of inclusive with a template fit including non-prompt and prompt . (b) fraction of non-prompt as a function of in different centralities compared to that for p + p collisions. (c) of non-prompt and inclusive as a function of .
The of non-prompt is obtained as follows:
where is the fraction of non-prompt in Au + Au collisions, the inclusive yield in Au + Au collisions and the non-prompt yield from the FONLL calculation for p + p collisions. The panel of Figure 3 shows the of non-prompt , along with a comparison to that of inclusive . A strong suppression of non-prompt is observed at high and there is a hint of less suppression for non-prompt compared to prompt ones at GeV/c.
3. Summary and Outlook
In these proceedings, we present the STAR measurements of bottom hadron production via electron, , and decay channels in Au + Au collisions at 200 GeV. For of non-prompt and , a strong suppression is observed at high . For the electron channel, there is less suppression for electrons from B-hadron decays compared to those from D-hadron decays, which is consistent with the theoretical prediction that bottom quarks should lose less energy than charm quarks due to the larger bottom quark mass. Compared to the statistics used for the results presented here, a factor of ∼ 1.5 times more minimum-bias and ∼ 5 times more high- electron triggered events in 200 GeV Au + Au collisions events were recorded by the STAR experiment in 2016, which can be used to further improve the precision of the measurements for electrons and from B-hadron decays.
Acknowledgments
This work was supported in part by the Major State Basic Research Development Program in China with grant no. 2014CB845400, the National Natural Science Foundation of China with grant No. 11375184, the Youth Innovation Promotion Association fund of CAS with grant No. CX2030040079, the Science and Technological Fund of Anhui Province for Outstanding Youth with grant No. 1808085J02 and the Fundamental Research Funds for the Central Universities.
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