You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The possible formation histories of neutron star binaries remain unresolved by current gravitational-wave catalogs. The detection of an eccentric binary system could be vital in constraining compact binary formation models. We present the first search for aligned spin eccentric neutron star-black hole binaries (NSBH) and the most sensitive search for aligned-spin eccentric binary neutron star (BNS) systems using data from the third observing run of the advanced LIGO and advanced Virgo detectors. No new statistically significant candidates are found; we constrain the local merger rate to be less than 150 $\text{Gpc}^{-3}\text{Yr}^{-1}$ for binary neutron stars in the field, and, 50, 100, and 70 $\text{Gpc}^{-3}\text{Yr}^{-1}$ for neutron star-black hole binaries in globular clusters, hierarchical triples and nuclear clusters, respectively, at the 90$%$ confidence level if we assume that no sources have been observed from these populations. We predict the capabilities of upcoming and next-generation observatory networks; we investigate the ability of three LIGO (A#) detectors and Cosmic Explorer CE (20km) + CE (40km) to use eccentric binary observations for determining the formation history of neutron star binaries. We find that 2 -- 100 years of observation with three A# observatories are required before we observe clearly eccentric NSBH binaries; this reduces to only 10 days -- 1 year with the CE detector network. CE will
observe tens to hundreds of measurably eccentric binaries from
each of the formation models we consider.
```
Eccentric-search-O3/
├── configs/ # Configuration files for the analysis
├── data/ # Config files specific to LIGO observing run data
├── injections/ # Files used to generate injections for the search
├── Jupyter-notebooks/ # Notebooks for plotting upper limits (observational and idealized)
├── measurability-analysis/ # Files to investigate measurable eccentric systems
│ ├── Full-simplified-PE-comparision-plots/ # Comparision corner plots for the different PE runs
│ ├── inferenc-configs/ # Configs for the PE analysis
│ ├── results/ # Measurable eccentric systems as a function of mchirp and eccentricity
├── psds/ # Contains various PSDs used in the study
├── sensitivity/ # Directory containing scripts and results used to obtain the observational constraints of our search
│ ├── idealized-search/ # Script for computing detectability of sources
│ ├── injections-results/ # Found and missed injections results from our search
│ ├── library/ # Custom PyCBC scripts to get VT and merger rate for our injection set.
│ ├── pop-models/ # Mchirp and eccentricity distributions for astrophysical models used.
│ └── precession-bais/ # Files to compute bias in merger rate due to neglecting precession.
├── README.md # Project documentation
└── LICENSE # License information
```
A preprint version of the paper is available on arXiv. This release contains the following:
Search
Configuration files for the search, template bank, and injections used for the analysis.
Search results
List of top candidates
The search sensitivity as a function of mchirp and eccentricity (HDF5 files).
Constraints
Population synthesis data -- Mchirp and eccentricity samples.
Noise ASDs used to compute the optimal SNRs for the idealized searches.
Jupyter-lab notebooks to obtain the 90 % upper limits on the local merger rate.
Measurability analysis
Scripts to compute the simplified Bayesian inference.
Dictionary of measurable binary sources for given SNRs (keys).
** The simulated data for the idealized searches is not provided due to the file size limit on GITHUB. This can be made available upon reasonable requests.
Constraints on the local merger rate
Modeled predicted rates
Isolated binary (Belczynski et al. (2018a))
[8.0, 50.0]
Globular cluster (Arca Sedda (2020b))
<=0.1
Triples (Trani et al. (2021))
[0.04, 0.34]
Nuclear cluster (Fragione et al. (2019))
[0.06. 0.1]
Observational constraints for O3
Isolated binary (Belczynski et al. (2018a))
149.02243058810643
Globular cluster (Arca Sedda (2020b))
53.36526395563427
Triples (Trani et al. (2021))
97.976810617951
Nuclear cluster (Fragione et al. (2019))
70.44463776334753
Idealized constraints for various detector networks
We have estimated constraints for an idealized search that covers the entire parameter space of the astrophysical model, and captures the signal SNR perfectly. We provide three different types of constraints on each population:
Full population
Eccentric systems above a fixed eccentricity >= 0.01