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# Stealth/systematic biases in the compact binary parameter estimation due to spin induced moments.
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To assess how the presence of a non-BH compact object with spin-induced deformations can bias the inferences of binary parameters such as masses, spins and distances. Preliminary studies are done and found that the spin inference is most affected by ignoring the non-unity value of kappa parameter. Apart from reporting how different parameters get affected, it might be worth also exploring how the formation scenarios inferences (based on effective spin distribution) can also get biased. [Dedicated page](/nv.krishnendu/lalsuite/-/wikis/Stealth%20bias)
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#### Detectability of non-BH binaries with BBH template banks
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* To assess how the presence of a non-BH compact object with spin-induced deformations can bias the inferences of binary parameters such as masses, spins and distances.
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* Preliminary studies are done and found that the spin inference is most affected by ignoring the non-unity value of kappa parameter.
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* Apart from reporting how different parameters get affected, it might be worth also exploring how the formation scenarios inferences (based on effective spin distribution) can also get biased. [Dedicated page](/nv.krishnendu/lalsuite/-/wikis/Stealth%20bias)
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* **Detectability of non-BH binaries with BBH template banks.**\
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[This paper](https://arxiv.org/abs/2004.06729) argued that if $\\delta\\kappa > 20$, then BBH template banks might miss them. We need to revisit this with more realistic settings such as IMR waveforms and low spin events etc.
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Knowing the edges of the parameter space of detectable binaries is extremely important in the inference of kappa. Right now we use a wide parameter space that spans to regions that will not have detectable SNR. This will add unwanted Occam's penalty into the Bayes factors, eventually leading to the BBH fraction estimates.
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* Knowing the edges of the parameter space of detectable binaries is extremely important in the inference of kappa. Right now we use a wide parameter space that spans to regions that will not have detectable SNR. This will add unwanted Occam's penalty into the Bayes factors, eventually leading to the BBH fraction estimates.
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#### The systematics study should cover the following:
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