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Forecast code for: Do Gravity and Geometry Remain Consistently Calibrated? A Test with Gravitational-Wave Distances

Authors: Zagami, Fabio;

Forecast code for: Do Gravity and Geometry Remain Consistently Calibrated? A Test with Gravitational-Wave Distances

Abstract

Python code used to generate Figure 1 of the paper"Do Gravity and Geometry Remain Consistently Calibrated?A Test with Gravitational-Wave Distances". The script performs Monte Carlo forecasts of constraints on the calibration-drift parameter alpha_M0 using simulatedgravitational-wave standard sirens. Running the script reproduces the figure and numerical results reported in the paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average