This paper presents a catalog of approximately 1800 Eclipsing W UMa systems (EWs) using parameters from LAMOST, VSX, ZTF and Gaia. Our detailed statistical analysis includes frequency distributions of parameters, confidence intervals, and hypothesis testing to provide deeper insights into the physical properties of this important eclipsing binary class. We focus on key parameters, including Period, Effective Temperature, Surface Gravity, metallicity, Radial Velocity, and spectral type of the systems. Our study reveals that the mean values for period, effective temperature, logarithmic surface gravity, metallicity, and radial velocity for EW systems are 0.377 days, 5775 K, 4, -0.185, and -4.085 km/s, respectively. The 95% confidence intervals for these parameters are 0.372 to 0.382 days, 5730 to 5820 K, -0.202 to -0.168, 3.97 to 4.03, and -6.47 to -1.7 km/s, respectively. Hypothesis testing of the estimated intervals results in the acceptance of the null hypothesis, indicating that EW systems are characterized within the specified limits. Our study also confirms that the majority of EW systems are late-type stars, primarily classified as F spectral type, followed by G and K. Interestingly, among the sample, 88 systems are classified as A spectral type, with a mean surface temperature of 7400 K. We examine the correlation between orbital periods and atmospheric parameters in the VSX and ZTF catalogs. While ZTF periods align well with established relations (correlation coefficient: 0.74), a weaker correlation is found in the VSX catalog. This highlights the need for a revision of VSX periods for improved accuracy in the studied sample of EWs.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10709607PMC
http://dx.doi.org/10.1038/s41598-023-48507-5DOI Listing

Publication Analysis

Top Keywords

spectral type
12
statistical analysis
8
vsx ztf
8
confidence intervals
8
hypothesis testing
8
period effective
8
effective temperature
8
surface gravity
8
gravity metallicity
8
metallicity radial
8

Similar Publications

Newly synthesized 1-bromo-2-(4-bromophenylsulfonate)-4,4-dimethyl-1-cyclohexenyl-6-one (CHD) as a potential anticorrosive agent in an acidic medium at an elevated temperature range of 305-335 K. This synthesized compound confirmed by spectral characterizations and it acts as a coating on mild steel surfaces in 1 M Hydrochloric acid (HCl) solution through electrochemical reactions. The synthesis of the compound has been discussed, and the Infrared (IR) and Nucleic Magnetic Resonance (NMR) spectral analysis confirmed the derivative.

View Article and Find Full Text PDF

Detecting shielded special nuclear material, such as nuclear explosives, is a difficult challenge pursued by non-proliferation, anti-terrorism, and nuclear security programs worldwide. Interrogation with intense fast-neutron pulses is a promising method to characterize concealed nuclear material rapidly but is limited by suitable source availability and proven instrumentation. In this study we have pioneered a demonstration of such an interrogation method using a high-intensity, short-pulse, laser-driven neutron source that offers potential benefits compared to conventional neutron sources.

View Article and Find Full Text PDF
Article Synopsis
  • The study focuses on enhancing the performance of PtSe in photodetectors by utilizing hydrophobic bonding for high-quality n-Si/SOI wafer bonding.
  • The resulting p-PtSe/i-Si/n-Si pin photodetector exhibits impressive spectral detection (532 to 2200 nm) and a high rectification ratio (2.1 × 10), indicating effective device functionality.
  • This research represents a novel method for merging wafer bonding techniques with 2D material transfer, paving the way for improved Si-based photodetector designs.
View Article and Find Full Text PDF

Introduction: Musical instrument recognition is a critical component of music information retrieval (MIR), aimed at identifying and classifying instruments from audio recordings. This task poses significant challenges due to the complexity and variability of musical signals.

Methods: In this study, we employed convolutional neural networks (CNNs) to analyze the contributions of various spectrogram representations-STFT, Log-Mel, MFCC, Chroma, Spectral Contrast, and Tonnetz-to the classification of ten different musical instruments.

View Article and Find Full Text PDF

Repeated exposure to low doses of light induces retinal damage in vivo in a wavelength-dependent manner.

Ecotoxicol Environ Saf

December 2024

Centre de Recherche des Cordeliers, INSERM UMRS 1138, Université Paris Cité, Sorbonne Université. Team: Physiopathology of Ocular Diseases: Therapeutic Innovations. 15, rue de l'école de Médecine Paris 75006, France. Electronic address:

The exposure of the general population to artificial light at night has dramatically increased in recent decades. Current standards for domestic lighting are based on acute exposure to light and consider blue wavelengths to be responsible for phototoxicity. However, meta-analyses pointed out the role of lifelong light exposure in the onset of age-related macular degeneration, suggesting a cumulative effect of light exposure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!