121 research outputs found
Searching for compact objects with Gaia DR3
We search for compact objects in binaries based on Gaia DR3. A sample of ten
targets is derived under the conditions: low temperature (
K), high radial velocity variation ( km s), high
mass function (), and ellipsoidal-like light curves. Two
targets have LAMOST spectroscopic observations, one of which is a double-lined
spectroscopic binary. The observational data of seven targets are not
self-consistent, since their photometric periods are even shorter than the
theoretical minimum orbital periods calculated by the stellar parameters from
Gaia DR3. According to the gathered data, two targets may contain compact
objects and are worth follow-up observations. This work may serve as an example
to demonstrate the feasibility of searching for compact objects in the massive
Gaia data.Comment: To be submitte
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
While large language models (LLMs) have demonstrated remarkable capabilities
across a range of downstream tasks, a significant concern revolves around their
propensity to exhibit hallucinations: LLMs occasionally generate content that
diverges from the user input, contradicts previously generated context, or
misaligns with established world knowledge. This phenomenon poses a substantial
challenge to the reliability of LLMs in real-world scenarios. In this paper, we
survey recent efforts on the detection, explanation, and mitigation of
hallucination, with an emphasis on the unique challenges posed by LLMs. We
present taxonomies of the LLM hallucination phenomena and evaluation
benchmarks, analyze existing approaches aiming at mitigating LLM hallucination,
and discuss potential directions for future research.Comment: work in progress; 32 page
High-sensitive and temperature-self-calibrated tilted fiber grating biological sensing probe
High sensitivity biological sample measurement has been achieved by using a 10° tilted fiber Bragg grating sensing probe. Human acute leukemia cells with different intracellular densities were clearly discriminated by identifying their slight refraction index (RI) perturbations in the range from 1.3342 to 1.3344, combining with a temperature self-calibration property. We studied the relationship between the intrace
Searching for Black Hole Candidates by LAMOST and ASAS-SN
Most dynamically confirmed stellar-mass black holes (BHs) and their candidates were originally selected from X-ray outbursts. In the present work, we search for BH candidates in the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) survey using the spectra along with photometry from the All Sky Automated Survey for SuperNovae (ASAS-SN), where the orbital period of the binary may be revealed by the periodic light curve, such as the ellipsoidal modulation type. Our sample consists of nine binaries, where each source contains a giant star with large radial velocity variation (ΔV_R ≳ 70 km s^(-1)) and periods known from light curves. We focus on the nine sources with long periods (T_(ph) > 5 days) and evaluate the mass M_2 of the optically invisible companion. Since the observed ΔV_R from only a few repeating spectroscopic observations is a lower limit of the real amplitude, the real mass M_2 can be significantly higher than the current evaluation. It is likely an efficient method to place constraints on M 2 by combining ΔV_R from LAMOST and T_(ph) from ASAS-SN, particularly by the ongoing LAMOST Medium Resolution Survey
Optical Fibre Sensors for Monitoring Phase Transitions in Phase Changing Materials
A platinum coated singlemode-multimode (SM) structure is investigated in this paper as an optical fibre sensor (OFS) to monitor the phase transition of a phase change material (PCM). Paraffin wax has been used as an example to demonstrate the sensor\u27s performance and operation. Most materials have the same temperature but different thermal energy levels during the phase change process, therefore, sole dependency on temperature measurement may lead to an incorrect estimation of the stored energy in PCM. The output spectrum of the reflected light from the OFS is very sensitive to the bend introduced by the PCM where both liquid and solid states exist during the phase transition. The measurement of strain experienced by the OFS during the phase change of the PCM is utilized for identifying the phase transition of paraffin wax between the solid and liquid states. The experimental results presented in this paper show that the OFS with a shorter multimode fibre section has better performance for monitoring the phase transition of paraffin wax with a measured phase transition temperature range of 41.5 °C–57.7 °C for the SM based OFS with a 5 mm long multimode fibre section
The Nearest Neutron Star Candidate in a Binary Revealed by Optical Time-domain Surveys
Recent studies have revealed the global deposition on Earth of radioactive
elements (e.g., Fe) resulting from the metal-enriched ejecta of nearby
(within pc) supernova explosions. The majority of neutron stars in
our Solar neighborhood remain to be discovered. Here we report the discovery of
the nearest ( pc) neutron star candidate in the single-lined
spectroscopic binary LAMOST J235456.76+335625.7 (hereafter J2354). Utilizing
the multi-epoch spectra and high-cadence periodic light curves, we measure the
mass of the visible star () and determine
the mass function of the invisible object ,
i.e., the mass of the unseen compact object is $M_{\rm inv} \geq 1.26 \pm 0.03\
M_{\odot}0.12.4<10^{30}\ {\rm erg\ s^{-1}}1.4<6.8\times 10^{23}\ {\rm erg\ s^{-1}}$). Hence, the
neutron star candidate in J2354 can only be discovered via our time-resolved
observations. The alternative scenario involving a nearby supramassive cold
white dwarf cannot be fully excluded. Our discovery demonstrates a promising
way to unveil the missing population of backyard inactive neutron stars or
supramassive cold white dwarfs in binaries by exploring the optical time
domain, thereby facilitating understanding of the supernovae explosion and
metal-enrichment history in our Solar neighborhood.Comment: 35 pages, 8 figures, to be submitte
Using a new fish indicator-based index with scoring and evaluation criteria to assess the ecological status in a disturbed subtropical river of China
Rivers are constantly disturbed by anthropogenic stressors. Developing robust biotic indicators to assess river environments across large spatial scales is important. In the subtropical Liuxi River of China, 34 native fish indicators, including 4 genera and 30 species, were selected from 108 fish species by linear discriminant analysis. These indicators were grouped into 19 ecological items and assigned evaluation scores according to the roles they played in the food web (e.g., keystoneness and trophic level) and their positive feedback on the environment (e.g., requirements for feeding, spawning/nursing, and migrating). Three formulae for calculating the index of fish indicators (IFI) were developed based on the scoring of each indicator and weighted by relative abundance (individual number, i.e., IFIN) and relative biomass (wet weight, i.e., IFIB). Spearman correlation analysis showed that IFIB, which had positive (P< 0.05) correlations with elevation (m), dissolved oxygen (mg/L), flow velocity (cm/s), Shannon-Wiener diversity, benthic index of biotic integrity, exhibited a more powerful explanation of biodiversity and environmental factors than IFIN and unweighted IFI. Therefore, IFIB was most suitable for constructing a scoring system to evaluate ecological status (e.g., water and habitat quality). These results suggested that fish indicator-based scoring and evaluation system was effectively in not only assessing the site- or region-specific ecological status bot also reflecting the fluvial biodiversity and food web integrity. Further application and promotion of this indicator-based evaluation method may improve field investigation efficiency and contribute greatly to the conservation and management of river ecosystems
Searching for Black Hole Candidates by LAMOST and ASAS-SN
Most dynamically confirmed stellar-mass black holes (BHs) and their candidates were originally selected from X-ray outbursts. In the present work, we search for BH candidates in the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) survey using the spectra along with photometry from the All Sky Automated Survey for SuperNovae (ASAS-SN), where the orbital period of the binary may be revealed by the periodic light curve, such as the ellipsoidal modulation type. Our sample consists of nine binaries, where each source contains a giant star with large radial velocity variation (ΔV_R ≳ 70 km s^(-1)) and periods known from light curves. We focus on the nine sources with long periods (T_(ph) > 5 days) and evaluate the mass M_2 of the optically invisible companion. Since the observed ΔV_R from only a few repeating spectroscopic observations is a lower limit of the real amplitude, the real mass M_2 can be significantly higher than the current evaluation. It is likely an efficient method to place constraints on M 2 by combining ΔV_R from LAMOST and T_(ph) from ASAS-SN, particularly by the ongoing LAMOST Medium Resolution Survey
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