... | @@ -61,16 +61,28 @@ UNUSED REAL8 domega220 = XLALSimInspiralWaveformParamsLookupDOmega220(LALparams) |
... | @@ -61,16 +61,28 @@ UNUSED REAL8 domega220 = XLALSimInspiralWaveformParamsLookupDOmega220(LALparams) |
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**Injection set**
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**Injection set**
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For each non-GR injection, perform a GR run to compare posteriors in the two cases.
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Two subpopulations:
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1. q~1, spins~0, face on, M~70 (reproduce known LIGO observed population);
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Simulation parameters:
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MISSING
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2. q>1, spins>0, not face on, M \in [150, 250] (reproduce possible IMBH population);
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Simulation parameters:
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MISSING
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10 injections for each subpopulation, each of the injections to be runned with SNR=15,30,50.
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Different values of parameters for NR and GR-template injections, to explore a larger parameter space.
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Prioritise given CPU hours constraints.
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- GR-template injections: we expect to recover 0-centered posteriors on deviation parameters and all other parameters consistent with GR. Also useful to study correlations with the other parameters.
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- GR-template injections: we expect to recover 0-centered posteriors on deviation parameters and all other parameters consistent with GR. Also useful to study correlations with the other parameters.
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How many? Which population?
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- NR injections: we expect to recover 0-centered posteriors on deviation parameters and all other parameters consistent with GR. Also useful to study correlations with the other parameters.
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- NR injections: we expect to recover 0-centered posteriors on deviation parameters and all other parameters consistent with GR. Also useful to study correlations with the other parameters.
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How many? Which population?
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- Non-GR template injections: inject either pEOB+domega/=0 and/or a physically motivated model (e.g. a model with modified flux as in the IMR consistency test review).
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- Non-GR template injections: inject either pEOB+domega/=0 and/or a physically motivated model (e.g. a model with modified flux as in the IMR consistency test review).
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How many? Which population?
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Same parameters as the GR cases with non-zero (domega220, tau220) for the lower-mass population, non-zero (domega220, tau220, domega330, tau330) for the higher mass population.
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**Waveform infrastructure call**
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**Waveform infrastructure call**
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... | @@ -93,15 +105,21 @@ How many? Which population? |
... | @@ -93,15 +105,21 @@ How many? Which population? |
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*Attendees*
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*Attendees*
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Abhirup, Roland, Richard, Max, Gregorio
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*Minutes*
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*Minutes*
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*Action items*
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*Action items*
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- Abhirup to fill in info on how to run the test;
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- Reviewers to fill in info on how to run the test;
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- Abhirup to fill in info on real events results;
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- Reviewers to fill in info on real events results;
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- Reviewers to have a careful read of the [paper](https://journals.aps.org/prd/abstract/10.1103/PhysRevD.98.084038)
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- Reviewers to have a careful read of the [paper](https://journals.aps.org/prd/abstract/10.1103/PhysRevD.98.084038) ;
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- ...
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- Write down a proposal on the injection set values along the lines discussed in the telecon;
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- Reviewees to ask the TGR chairs how many CPU hours we can use;
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- Abhirup to create:
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1. Corner plots with (Mf,af,domega)
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2. A plot showing (Mf,af) from a GR run vs the ones recovered when domega was varying.
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(These plots are to check that a deviation in Mf does not compensate a deviation in domega in such a way that omega(Mf,af)*(1+domega) still matches the GR prediction)
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***19/06/2019***
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***19/06/2019***
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