From dd4c1f5b5a180ca10e699bd0317238be7480f28b Mon Sep 17 00:00:00 2001 From: mkatz Date: Sat, 1 Apr 2023 18:40:33 +0200 Subject: [PATCH] fixed for pycbc error --- README.md | 2 +- bbhx/waveformbuild.py | 3 +- docs/doctrees/README.doctree | Bin 33473 -> 33473 bytes docs/doctrees/environment.pickle | Bin 530970 -> 1095315 bytes docs/doctrees/index.doctree | Bin 34270 -> 34270 bytes docs/doctrees/user/like.doctree | Bin 2695 -> 44686 bytes docs/doctrees/user/main.doctree | Bin 8024 -> 130802 bytes docs/doctrees/user/response.doctree | Bin 2711 -> 69126 bytes docs/doctrees/user/utils.doctree | Bin 104544 -> 163232 bytes docs/doctrees/user/waveforms.doctree | Bin 2682 -> 81625 bytes docs/html/README.html | 2 +- docs/html/_sources/README.rst.txt | 2 +- docs/html/genindex.html | 352 ++++++++++++++++++++++++- docs/html/index.html | 128 +++++++++- docs/html/objects.inv | Bin 2041 -> 3913 bytes docs/html/searchindex.js | 2 +- docs/html/user/like.html | 224 +++++++++++++++- docs/html/user/main.html | 288 ++++++++++++++++++++- docs/html/user/response.html | 269 +++++++++++++++++++- docs/html/user/utils.html | 266 ++++++++++++++++++- docs/html/user/waveforms.html | 367 ++++++++++++++++++++++++++- docs/source/README.rst | 2 +- 22 files changed, 1885 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index a8835c0..634b5f5 100644 --- a/README.md +++ b/README.md @@ -137,7 +137,7 @@ Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduc We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/mikekatz04/BBHx/tags). -Current Version: 1.0.4 +Current Version: 1.0.5 ## Authors diff --git a/bbhx/waveformbuild.py b/bbhx/waveformbuild.py index 4a43dda..a588a42 100644 --- a/bbhx/waveformbuild.py +++ b/bbhx/waveformbuild.py @@ -66,6 +66,7 @@ class TemplateInterpFD: def __init__(self, use_gpu=False): + self.use_gpu = use_gpu if use_gpu: self.template_gen = InterpTDI_wrap_gpu self.xp = xp @@ -138,7 +139,7 @@ def __call__( start_and_end = self.xp.asarray([freqs_shaped[:, 0], freqs_shaped[:, -1],]).T - if not isinstance(data_freqs, self.xp.ndarray): + if self.use_gpu and not isinstance(data_freqs, self.xp.ndarray): raise ValueError("Make sure if using Cupy or Numpy, the input freqs array is of the same type.") inds_start_and_end = self.xp.asarray( diff --git a/docs/doctrees/README.doctree b/docs/doctrees/README.doctree index ee6508dbdcaf4bf384166ce1e5325d32504bb84a..aaf440abd03e814d8f391b095c2173d07ab2ddc4 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VersioningSemVer for versioning. For the versions available, see the tags on this repository.

-

Current Version: 1.0.4

+

Current Version: 1.0.5

Authors

diff --git a/docs/html/_sources/README.rst.txt b/docs/html/_sources/README.rst.txt index 4a77231..c7c5b2b 100644 --- a/docs/html/_sources/README.rst.txt +++ b/docs/html/_sources/README.rst.txt @@ -191,7 +191,7 @@ We use `SemVer `__ for versioning. For the versions available, see the `tags on this repository `__. -Current Version: 1.0.4 +Current Version: 1.0.5 Authors ------- diff --git a/docs/html/genindex.html b/docs/html/genindex.html index ae8aa3b..3db8513 100644 --- a/docs/html/genindex.html +++ b/docs/html/genindex.html @@ -86,18 +86,68 @@

Index

- B + _ + | A + | B + | C + | D + | E + | F + | G + | I | L | M + | N + | O | P + | R | S | T + | U | W + | X + | Y
+

_

+ + +
+ +

A

+ + + +
+

B

+ -
+
  • bbhx.utils.transform @@ -112,8 +164,6 @@

    B

  • module
-
  • bbhx.utils.utility @@ -124,10 +174,130 @@

    B
+

C

+ + + +
+ +

D

+ + + +
+ +

E

+ + +
+ +

F

+ + + +
+ +

G

+ + +
+ +

I

+ + + +
+

L

+
@@ -137,8 +307,20 @@

M

+ +
  • mT_q() (in module bbhx.utils.transform) +
    • + + +

    N

    + + +
    + +

    O

    + + +
    @@ -162,7 +380,43 @@

    M

    P

    + +
    + +

    R

    + + +
    @@ -178,23 +432,111 @@

    S

    T

    +

    U

    + + +
    +

    W

    +
    +

    X

    + + +
    + +

    Y

    + + + +
    + diff --git a/docs/html/index.html b/docs/html/index.html index 3e5c869..28f867a 100644 --- a/docs/html/index.html +++ b/docs/html/index.html @@ -260,7 +260,7 @@

    VersioningSemVer for versioning. For the versions available, see the tags on this repository.

    -

    Current Version: 1.0.4

    +

    Current Version: 1.0.5

    Authors

    @@ -290,21 +290,137 @@

    Acknowledgments

    Documentation:

      -
    • Full TDI Waveforms
      • +
    • Full TDI Waveforms +
    • Available Waveform Models
    • LISA Response Models
    • Likelihood Methods
    • Utility Functions
        -
      • Interpolation Utilities
        • +
      • Interpolation Utilities +
      • Useful Transformation Functions
        • mT_q()
        • modpi()
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bbhx.waveforms.phenomhm)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase"]], "__call__() (bbhx.waveforms.phenomhm.phenomhmampphase method)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.__call__"]], "allowable_modes (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.allowable_modes"]], "amp (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.amp"]], "c1_dm (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c1_dm"]], "c1_rd (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c1_rd"]], "c2_dm (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c2_dm"]], "c2_rd (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c2_rd"]], "c3_dm (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c3_dm"]], "c3_rd (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.c3_rd"]], "citation (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.citation"]], "ells_default (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.ells_default"]], "freqs (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.freqs"]], "freqs_shaped (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.freqs_shaped"]], "mf_max (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.mf_max"]], "mf_min (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.mf_min"]], "mms_default (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.mms_default"]], "phase (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.phase"]], "phenomd_ringdown_freqs (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.phenomd_ringdown_freqs"]], "phenomhm_ringdown_freqs (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.phenomhm_ringdown_freqs"]], "run_phenomd (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.run_phenomd"]], "tf (bbhx.waveforms.phenomhm.phenomhmampphase property)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.tf"]], "use_gpu (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.use_gpu"]], "waveform_carrier (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.waveform_carrier"]], "waveform_gen (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.waveform_gen"]], "xp (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.xp"]], "y_dm (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.y_dm"]], "y_rd (bbhx.waveforms.phenomhm.phenomhmampphase attribute)": [[8, "bbhx.waveforms.phenomhm.PhenomHMAmpPhase.y_rd"]]}}) \ No newline at end of file diff --git a/docs/html/user/like.html b/docs/html/user/like.html index dbe6ce0..f1df12a 100644 --- a/docs/html/user/like.html +++ b/docs/html/user/like.html @@ -17,6 +17,8 @@ + + @@ -49,7 +51,25 @@
        • Available Waveform Models
        • LISA Response Models
        • Likelihood Methods
        • Utility Functions
          • @@ -96,6 +116,208 @@

          Likelihood Methods

          Direct Likelihood Computation

          +
          +
          +class bbhx.likelihood.Likelihood(template_gen, data_freqs, data_channels, psd, use_gpu=False)
          +

          Bases: object

          +

          Fast Base Likelihood Class for MBHBs

          +

          This class computes the graitational wave Likelihood as a direct sum over +frequecy bins. It only sums over the frequencies where the MBHB signal +exists. Therefore, larger mass waveforms are faster because there are less +frequencies. This class computes: +\(\mathcal{L}\propto-1/2\langle d-h|d-h\rangle=-1/2\left(\langle d|d\rangle \langle h|h\rangle - 2\langle d|h\rangle\right)\).

          +

          This class has GPU capability.

          +
          +
          Parameters:
          +
            +

          • template_gen (obj) – Waveform generation class that returns a tuple of +(list of template arrays, start indices, lengths). See +bbhx.waveform.BBHWaveformFD for more information on this +return type.

            • +

          • data_freqs (double xp.ndarray) – Frequencies for the data stream. data_freqs +should be a numpy (cupy) array if running on the CPU (GPU).

            • +

          • data_channels (complex128 xp.ndarray) – Data stream. 2D array of shape: (3, len(data_freqs)). +It is assumed there are 3 channels. data_channels +should be a numpy (cupy) array if running on the CPU (GPU).

            • +

          • psd (double xp.ndarray) – Power Spectral Density in the noise:math:S_n(f). +2D array of shape: (3, len(data_freqs)). +It is assumed there are 3 channels. psd +should be a numpy (cupy) array if running on the CPU (GPU).

            • +

          • use_gpu (bool, optional) – If True, use GPU.

            • +
          +
          +
          +
          +
          +use_gpu
          +

          If True, using GPU.

          +
          +
          Type:
          +

          bool

          +
          +
          +
          + +
          +
          +xp
          +

          Either numpy or cupy.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +d_d
          +

          \(\langle d|d\rangle\) inner product value.

          +
          +
          Type:
          +

          double

          +
          +
          +
          + +
          +
          +data_channels
          +

          Data stream. 1D flattened array +of shape: (3, len(data_freqs)). Note data_channels should +be multiplied by psd before input into this class.

          +
          +
          Type:
          +

          complex128 np.ndarray

          +
          +
          +
          + +
          +
          +data_freqs
          +

          Frequencies for the data stream (1D).

          +
          +
          Type:
          +

          double np.ndarray

          +
          +
          +
          + +
          +
          +data_stream_length
          +

          Length of data.

          +
          +
          Type:
          +

          int

          +
          +
          +
          + +
          +
          +like_gen
          +

          C/CUDA implementation of likelihood compuation.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +noise_factors
          +

          \(\sqrt{\frac{\Delta f}{S_n(f)}}\). +1D flattened array of shape: (3, len(data_freqs)).

          +
          +
          Type:
          +

          double xp.ndarray

          +
          +
          +
          + +
          +
          +psd
          +

          Power Spectral Density in the noise:math:S_n(f). +1D flattened array of shape: (3, len(data_freqs)).

          +
          +
          Type:
          +

          double xp.ndarray

          +
          +
          +
          + +
          +
          +template_gen
          +

          Waveform generation class that returns a tuple of +(list of template arrays, start indices, lengths). See +bbhx.waveform.BBHWaveformFD for more information on this +return type.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +phase_marginalize
          +

          If True, compute the phase-marginalized +log-Likelihood (and snr if return_extracted_snr==True).

          +
          +
          Type:
          +

          bool

          +
          +
          +
          + +
          +
          +return_extracted_snr
          +

          Return the snr in addition to the Likeilihood.

          +
          +
          Type:
          +

          bool

          +
          +
          +
          + +
          +
          +get_ll(params, return_extracted_snr=False, phase_marginalize=False, **waveform_kwargs)
          +

          Compute the log-Likelihood

          +
          +
          params (double np.ndarray): Parameters for evaluating log-Likelihood.

          params.shape=(num_params,) if 1D or +params.shape=(num_params, num_bin_all) if 2D for more than +one binary.

          +
          +
          return_extracted_snr (bool, optional): If True, return

          \(\langle d|h\rangle\ / \sqrt{\langle h|h\rangle}\) as a second entry +of the return array. This produces a return array of +xp.array([log likelihood, snr]).T. If False, just return +the log-Likelihood array.

          +
          +
          phase_marginalize (bool, optional): If True, compute the phase-marginalized

          log-Likelihood (and snr if return_extracted_snr==True).

          +
          +
          **waveform_kwargs (dict, optional): Keyword arguments for waveform

          generator.

          +
          +
          +
          +
          Returns:
          +

          log-Likelihoods or np.array([log-Likelihoods, snr]).T

          +
          +
          Return type:
          +

          np.ndarray

          +
          +
          +
          + +
          +

    diff --git a/docs/html/user/main.html b/docs/html/user/main.html index 2a4ae87..2bea1fb 100644 --- a/docs/html/user/main.html +++ b/docs/html/user/main.html @@ -47,7 +47,26 @@ +
    +
    +class bbhx.waveformbuild.BBHWaveformFD(amp_phase_kwargs={}, response_kwargs={}, interp_kwargs={}, use_gpu=False)
    +

    Bases: object

    +

    Generate waveforms put through response functions

    +

    This class generates waveforms put through the LISA response function. In the +future, ground-based analysis may be added. Therefore, it currently +returns the TDI variables according the response keyword arguments given.

    +

    If you use this class, please cite arXiv:2005.01827 +and arXiv:2111.01064, as well as the papers +listed for the waveform and response given just below.

    +

    Right now, it is hard coded to produce the waveform with +PhenomHMAmpPhase. This can also be used +to produce PhenomD. See the docs for that waveform. The papers describing PhenomHM/PhenomD +waveforms are here: arXiv:1708.00404, +arXiv:1508.07250, and +arXiv:1508.07253.

    +

    The response function is the fast frequency domain response function +from arXiv:1806.10734 and +arXiv:2003.00357. It is implemented in +LISATDIResponse <bbhx.response.fastfdresponse.LISATDIResponse.

    +

    This class is GPU accelerated.

    +
    +
    Parameters:
    +
      +

    • amp_phase_kwargs (dict, optional) – Keyword arguments for the +initialization of the ampltidue-phase waveform class: PhenomHMAmpPhase.

      • +

    • response_kwargs (dict, optional) – Keyword arguments for the initialization +of the response class: LISATDIResponse <bbhx.response.fastfdresponse.LISATDIResponse.

      • +

    • interp_kwargs (dict, optional) – Keyword arguments for the initialization +of the interpolation class: TemplateInterpFD.

      • +

    • use_gpu (bool, optional) – If True, use a GPU. (Default: False)

      • +
    +
    +
    +
    +
    +amp_phase_gen
    +

    Waveform generation class.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +data_length
    +

    Length of the final output data.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +interp_response
    +

    Interpolation class.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +length
    +

    Length of initial evaluations of waveform and response.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +num_bin_all
    +

    Total number of binaries analyzed.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +num_interp_params
    +

    Number of parameters to interpolate (9).

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +num_modes
    +

    Number of harmonic modes.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +out_buffer_final
    +

    Array with buffer information with shape: +(self.num_interp_params, self.num_bin_all, self.num_modes, self.length). +The order of the parameters is amplitude, phase, t-f, transferL1re, transferL1im, +transferL2re, transferL2im, transferL3re, transferL3im.

    +
    +
    Type:
    +

    xp.ndarray

    +
    +
    +
    + +
    +
    +response_gen
    +

    Response generation class.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +use_gpu
    +

    A GPU is being used if use_gpu==True.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +waveform_gen
    +

    Direct summation waveform generation class.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +xp
    +

    Either numpy or cupy.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +property citation
    +

    Citations for this class

    +
    + +
    +
    +__call__(m1, m2, chi1z, chi2z, distance, phi_ref, f_ref, inc, lam, beta, psi, t_ref, t_obs_start=1.0, t_obs_end=0.0, freqs=None, length=None, modes=None, shift_t_limits=False, direct=False, compress=True, squeeze=False, fill=False, combine=False)
    +

    Generate the binary black hole frequency-domain TDI waveforms

    +
    +
    Parameters:
    +
      +

    • m1 (double scalar or np.ndarray) – Mass 1 in Solar Masses \((m1 > m2)\).

      • +

    • m2 (double or np.ndarray) – Mass 2 in Solar Masses \((m1 > m2)\).

      • +

    • chi1z (double or np.ndarray) – Dimensionless spin 1 (for Mass 1) in Solar Masses.

      • +

    • chi2z (double or np.ndarray) – Dimensionless spin 2 (for Mass 1) in Solar Masses.

      • +

    • distance (double or np.ndarray) – Luminosity distance in m.

      • +

    • phi_ref (double or np.ndarray) – Phase at f_ref.

      • +

    • f_ref (double or np.ndarray) – Reference frequency at which phi_ref and t_ref are set. +If f_ref == 0, it will be set internally by the PhenomHM code +to \(f_\text{max} = \text{max}(f^2A_{22}(f))\).

      • +

    • inc (double or np.ndarray) – Inclination of the binary in radians \((\iota\in[0.0, \pi])\).

      • +

    • lam (double or np.ndarray) – Ecliptic longitude \((\lambda\in[0.0, 2\pi])\).

      • +

    • beta (double or np.ndarray) – Ecliptic latitude \((\beta\in[-\pi/2, \pi/2])\).

      • +

    • psi (double or np.ndarray) – Polarization angle in radians \((\psi\in[0.0, \pi])\).

      • +

    • t_ref (double or np.ndarray) – Reference time in seconds. It is set at f_ref.

      • +

    • t_obs_start (double, optional) – Start time of observation in years +in the LISA constellation reference frame. If shift_t_limits==True, +this is with reference to \(t=0\). If shift_t_limits==False this is +with reference to t_ref and works backwards. So, in this case, +t_obs_start gives how much time back from merger to start the waveform. +(Default: 1.0)

      • +

    • t_obs_end (double, optional) – End time of observation in years in the +LISA constellation reference frame. If +shift_t_limits==True, this is with reference to \(t=0\). +If shift_t_limits==False this is with reference to t_ref +and works backwards. So, in this case, t_obs_end gives how much time +back from merger to start the waveform. If the value is zero, it takes +everything after the merger as well. (Default: 0.0)

      • +

    • freqs (np.ndarray, optional) – Frequencies at which to evaluate the final waveform. +If length is also given, the interpolants interpolate to these +frequencies. If length is not given, the waveform amplitude, phase, +and response will be directly evaluated at these frequencies. In this case, +a 2D np.ndarray can also be provided. (Default: None)

      • +

    • length (int, optional) – Number of frequencies to use in sparse array for +interpolation.

      • +

    • modes (list, optional) – Harmonic modes to use. If not given, they will +default to those available in the waveform model. For PhenomHM: +[(2,2), (3,3), (4,4), (2,1), (3,2), (4,3)]. For PhenomD: [(2,2)]. +(Default: None)

      • +

    • shift_t_limits (bool, optional) – If False, t_obs_start and t_obs_end +are relative to t_ref counting backwards in time. If True, +those quantities are relative to \(t=0\). (Default: False)

      • +

    • direct (bool, optional) – If True, directly compute the waveform without +interpolation. (Default: False)

      • +

    • compress (bool, optional) – If True, combine harmonics into single channel +waveforms. (Default: True)

      • +

    • squeeze (bool, optional) – If True, remove any axes of length 1 from the +final return information. (Default: False)

      • +

    • fill (bool, optional) – If True, fill data streams according to the combine +keyword argument. If ``False, returns information for the fast likelihood functions.

      • +

    • combine (bool, optional) – If True, combine all waveforms into the same output +data stream. (Default: False)

      • +
    +
    +
    Returns:
    +

    +
    Shape (3, self.length, self.num_bin_all).

    Final waveform for each binary. If direct==True and compress==True. +# TODO: switch dimensions?

    +
    +
    xp.ndarray: Shape (3, self.num_modes, self.length, self.num_bin_all).

    Final waveform for each binary. If direct==True and compress==False.

    +
    +
    xp.ndarray: Shape (3, self.data_length).

    Final waveform of all binaries in the same data stream. +If fill==True and combine==True.

    +
    +
    xp.ndarray: Shape (self.num_bin_all, 3, self.data_length).

    Final waveform of all binaries in the same data stream. +If fill==True and combine==False.

    +
    +
    tuple: Information for fast likelihood functions.

    First entry is template_channels property from TemplateInterpFD. +Second entry is start_inds attribute from self.interp_response. +Third entry is lengths attribute from self.interp_response.

    +
    +
    +

    +
    +
    Return type:
    +

    xp.ndarray

    +
    +
    Raises:
    +

    ValueError – length and freqs not given. Modes are given but not in a list.

    +
    +
    +
    + +
    + diff --git a/docs/html/user/response.html b/docs/html/user/response.html index 4fd121b..5e8dfa0 100644 --- a/docs/html/user/response.html +++ b/docs/html/user/response.html @@ -48,7 +48,28 @@
  • Full TDI Waveforms
  • Available Waveform Models
  • LISA Response Models
  • Likelihood Methods
    • @@ -96,6 +117,252 @@

    LISA Response Models

    Fast Frequency Domain Response

    +
    +
    +class bbhx.response.fastfdresponse.LISATDIResponse(TDItag='AET', order_fresnel_stencil=0, use_gpu=False)
    +

    Bases: object

    +

    Evaluate the fast frequency domain response function

    +

    The response function is the fast frequency domain response function +from arXiv:1806.10734 and +arXiv:2003.00357. Please cite +these papers if this class is used. This response assumes a fixed, +non-breathing armlength for the LISA constellation.

    +

    This class has GPU capability.

    +
    +
    Parameters:
    +
      +

    • TDItag (str, optional) – TDI channels to generate. Options are "XYZ" and +"AET". If "XYZ" is not given, it will default to "AET". +(Default: "AET")

      • +

    • order_fresnel_stencil (int, optional) – Order of the Fresnel stencil in the +response. Currently, anything above 0 is not implemented. This is left +in for future compatibility. (Default: 0)

      • +

    • use_gpu (bool, optional) – If True, use a GPU. (Default: False)

      • +
    +
    +
    +
    +
    +allowable_modes
    +

    Allowed list of mode tuple pairs (l,m) for +the chosen waveform model.

    +
    +
    Type:
    +

    list

    +
    +
    +
    + +
    +
    +ells_default
    +

    Default values for the l index of the harmonic.

    +
    +
    Type:
    +

    np.ndarray

    +
    +
    +
    + +
    +
    +mms_default
    +

    Default values for the m index of the harmonic.

    +
    +
    Type:
    +

    np.ndarray

    +
    +
    +
    + +
    +
    +includes_amps
    +

    If True, the out_buffer contains the first +entry for amplitudes.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +order_fresnel_stencil
    +

    Order of the Fresnel stencil in the +response. Currently, anything above 0 is not implemented. This is left +in for future compatibility.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +response_gen
    +

    Respones generator in C/C++.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +TDItag
    +

    TDI channels to generate. Either "XYZ" or "AET".

    +
    +
    Type:
    +

    str

    +
    +
    +
    + +
    +
    +use_gpu
    +

    A GPU is being used if use_gpu==True.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +xp
    +

    Either numpy or cupy.

    +
    +
    Type:
    +

    obj

    +
    +
    +
    + +
    +
    +property citation
    +

    Return citations for this class

    +
    + +
    +
    +property transferL1
    +

    (num_bin_all, num_modes, length)

    +
    +
    Type:
    +

    TransferL1 term in response. Shape

    +
    +
    +
    + +
    +
    +property transferL2
    +

    (num_bin_all, num_modes, length)

    +
    +
    Type:
    +

    TransferL2 term in response. Shape

    +
    +
    +
    + +
    +
    +property transferL3
    +

    (num_bin_all, num_modes, length)

    +
    +
    Type:
    +

    TransferL3 term in response. Shape

    +
    +
    +
    + +
    +
    +property phase
    +

    (num_bin_all, num_modes, length)

    +
    +
    Type:
    +

    Get updated phase info. Shape

    +
    +
    +
    + +
    +
    +property tf
    +

    (num_bin_all, num_modes, length)

    +
    +
    Type:
    +

    Get tf info. Shape

    +
    +
    +
    + +
    +
    +__call__(freqs, inc, lam, beta, psi, phi_ref, length, modes=None, phase=None, tf=None, out_buffer=None, adjust_phase=True)
    +

    Evaluate respones function

    +
    +
    Parameters:
    +
      +

    • freqs (1D or 2D xp.ndarray) – Frequency at which the response is evaluated. +2D shape is (num_bin_all, length). If given as a 1D array, +it should be of length num_bin_all * length.

      • +

    • inc (scalar or 1D xp.ndarray) – Inclination of BBH system in radians.

      • +

    • lam (scalar or 1D xp.ndarray) – Ecliptic longitude in SSB frame in radians.

      • +

    • beta (scalar or 1D xp.ndarray) – Ecliptic latitude in SSB frame in radians.

      • +

    • psi (scalar or 1D xp.ndarray) – Polarization angle of the system in radians.

      • +

    • phi_ref (scalar or 1D xp.ndarray) – Reference phase. Note: +The response function rotates the source by phi_ref. For this reason, +the main waveform functions (e.g. bbhx.waveform.BBHWaveformFD) +provide phi_ref = 0.0 into the source-frame scaled waveform generators +(e.g. bbhx.waveforms.phenomhm.PhenomHMAmpPhase). This allows +the reference phase to be applied here in the response.

      • +

    • length (int) – The length of the individual frequency arrays. This is required +because of the options for putting in 1D arrays into this function. +The length tells the chunk size in a 1D array.

      • +

    • modes (list, optional) – Harmonic modes to use. If not given, they will +default to those available in the waveform model PhenomHM: +[(2,2), (3,3), (4,4), (2,1), (3,2), (4,3)]. (Default: None)

      • +

    • phase (xp.ndarray, optional) – Waveform phase. This is adjusted by the phaseRdelay +quantity in the code. If more than 1D, the shape should be +(num_bin_all, num_modes, length). If 1D, its total length +should be equivalent to num_bin_all * num_modes * length. +If out_buffer is not provided, phase and tf are required.

      • +

    • tf (xp.ndarray, optional) – Waveform time-frequency correspondence. This tells the +response where the LISA constellation is at each frequency. +If more than 1D, the shape should be +(num_bin_all, num_modes, length). If 1D, its total length +should be equivalent to num_bin_all * num_modes * length. +If out_buffer is not provided, phase and tf are required.

      • +

    • out_buffer (xp.ndarray, optional) – 1D array initialized to contain all computations +from the inital waveform and response function. If providing out_buffer, +the response fills it directly. To make this happen easily in GPU/CPU +agnostic manner, out_buffer needs to be a 1D array with length +equivalent to nparams * num_bin_all * num_modes * length. +nparams can be 8 if the buffer does not include the amplitudes +(which are not needed at all for the response computation) or 9 +if it includes the amplitudes. (Default: None)

      • +

    • adjust_phase (bool, optional) – If True adjust the phase array in-place +inside the response code. Note: This only applies when +inputing phase and tf. (Default: True)

      • +
    +
    +
    Raises:
    +

    ValueError – Incorrect dimensions for the arrays.

    +
    +
    +
    + +
    +
    diff --git a/docs/html/user/utils.html b/docs/html/user/utils.html index b9de8c2..d738ce7 100644 --- a/docs/html/user/utils.html +++ b/docs/html/user/utils.html @@ -52,7 +52,33 @@
  • LISA Response Models
  • Likelihood Methods
  • Utility Functions
      -
    • Interpolation Utilities
      • +
    • Interpolation Utilities +
    • Useful Transformation Functions
      • mT_q()
      • modpi()
        • @@ -116,6 +142,244 @@

        Utility Functions

        Interpolation Utilities

        +
        +
        +class bbhx.waveformbuild.TemplateInterpFD(use_gpu=False)
        +

        Bases: object

        +

        Interpolate frequency domain template.

        +

        This class wraps CubicSplineInterpolant so +that it fits into this specific waveform production method.

        +

        This class has GPU capabilities.

        +
        +
        Parameters:
        +

        use_gpu (bool, optional) – If True, use GPU.

        +
        +
        +
        +
        +data_length
        +

        Length of data. This class interpolates to this length.

        +
        +
        Type:
        +

        int

        +
        +
        +
        + +
        +
        +length
        +

        Length of original frequency array.

        +
        +
        Type:
        +

        int

        +
        +
        +
        + +
        +
        +num_bin_all
        +

        Number of binaries.

        +
        +
        Type:
        +

        int

        +
        +
        +
        + +
        +
        +num_channels
        +

        Number of channels in data.

        +
        +
        Type:
        +

        int

        +
        +
        +
        + +
        +
        +num_modes
        +

        Number of harmonics.

        +
        +
        Type:
        +

        int

        +
        +
        +
        + +
        +
        +template_carrier
        +

        Carrier for output templates. +Templates can be accessed through the template_channels property.

        +
        +
        Type:
        +

        complex128 xp.ndarray

        +
        +
        +
        + +
        +
        +template_gen
        +

        C/CUDA wrapped function for computing interpolated +waveforms.

        +
        +
        Type:
        +

        obj

        +
        +
        +
        + +
        +
        +use_gpu
        +

        If True, using GPU.

        +
        +
        Type:
        +

        bool

        +
        +
        +
        + +
        +
        +xp
        +

        Either numpy or cupy.

        +
        +
        Type:
        +

        obj

        +
        +
        +
        + +
        +
        +property template_channels
        +

        Get template channels from self.template_carrier.

        +
        + +
        +
        +property citation
        +

        citations for this class

        +
        + +
        +
        +__call__(data_freqs, interp_container, t_start, t_end, length, num_modes, num_channels)
        +

        Generate frequency domain template via interpolation.

        +

        This class takes all waveform and response information as sparse arrays +and then interpolates to the proper frequency array.

        +

        This class acts in a unique why by passing arrays of pointers from python +into C++/CUDA.

        +
        +
        Parameters:
        +
          +

        • data_freqs (double xp.ndarray) – Frequencies to interpolate to.

          • +

        • interp_container (obj) – container attribute from the interpolant +class: CubicSplineInterpolant.

          • +

        • t_start (double xp.ndarray) – Array of start times (sec) for each binary.

          • +

        • t_end (double xp.ndarray) – Array of end times (sec) for each binary.

          • +

        • length (int) – Length of original frequency array.

          • +

        • num_modes (int) – Number of harmonics.

          • +

        • num_channels (int) – Number of channels in data.

          • +
        +
        +
        Returns:
        +

        +
        List of template arrays for all binaries.

        shape of each array: (self.num_channels, self.data_length)

        +
        +
        +

        +
        +
        Return type:
        +

        list

        +
        +
        +
        + +
        + +
        +
        +class bbhx.utils.interpolate.CubicSplineInterpolant(x, y_all, num_interp_params=None, num_bin_all=None, num_modes=None, length=None, use_gpu=False)
        +

        Bases: object

        +

        GPU-accelerated Multiple Cubic Splines

        +

        This class produces multiple cubic splines. The cubic splines are produced +with “not-a-knot” boundary conditions.

        +

        This class has GPU capability.

        +
        +
        Parameters:
        +
          +

        • x (xp.ndarray) – f values as input for the spline. Can be 1D flattend array +of total length +(num_bin_all * length) or 2D array with shape: (num_bin_all, length).

          • +

        • y_all (xp.ndarray) – y values for the spline. This can be a 1D flattened +array with length +(num_interp_params * num_bin_all * num_modes * length) +or 4D arrays of shape: (num_interp_params, num_bin_all, num_modes, length).

          • +

        • num_interp_params (int, optional) – If x and y_all are flattened, +the user must provide the number of interpolation parameters. +(Default: None)

          • +

        • num_bin_all (int, optional) – If x and y_all are flattened, +the user must provide the number of total binaries. +(Default: None)

          • +

        • num_modes (int, optional) – If x and y_all are flattened, +the user must provide the number of modes. +(Default: None)

          • +

        • length (int, optional) – If x and y_all are flattened, +the user must provide the length of the frequency array for each binary. +(Default: None)

          • +

        • use_gpu (bool, optional) – If True, prepare arrays for a GPU. Default is +False.

          • +
        +
        +
        Raises:
        +

        ValueError – If input arguments are not correct.

        +
        +
        +
        +
        +property x_shaped
        +

        Get shaped x array.

        +
        + +
        +
        +property y_shaped
        +

        Get shaped y array.

        +
        + +
        +
        +property c1_shaped
        +

        Get shaped c1 array.

        +
        + +
        +
        +property c2_shaped
        +

        Get shaped c2 array.

        +
        + +
        +
        +property c3_shaped
        +

        Get shaped c3 array.

        +
        + +
        +
        +property container
        +

        Container for easy transit of interpolation information.

        +
        + +
        +

        Useful Transformation Functions

        diff --git a/docs/html/user/waveforms.html b/docs/html/user/waveforms.html index 1fee15d..37db456 100644 --- a/docs/html/user/waveforms.html +++ b/docs/html/user/waveforms.html @@ -17,6 +17,8 @@ + + @@ -47,7 +49,39 @@
        • Full TDI Waveforms
        • Available Waveform Models
        • LISA Response Models
          • @@ -96,6 +130,337 @@

          Available Waveform Models

          PhenomHM (PhenomD)

          +
          +
          +class bbhx.waveforms.phenomhm.PhenomHMAmpPhase(use_gpu=False, run_phenomd=False, mf_min=0.0001, mf_max=0.6, initial_t_val=0.0)
          +

          Bases: object

          +

          Produce PhenomHM in the amplitude and phase representation

          +

          This class implements PhenomD and PhenomHM in a GPU-accelerated form. +If you use this class, please cite +arXiv:2005.01827, +arXiv:2111.01064 +arXiv:1708.00404, +arXiv:1508.07250, and +`arXiv:1508.07253 <https://arxiv.org/abs/1508.07253>_.

          +
          +
          Parameters:
          +
            +

          • use_gpu (bool, optional) – If True, run on the GPU.

            • +

          • run_phenomd (bool, optional) – If True, run the PhenomD +waveform rather than PhenomHM. Really this is the same +as choosing modes=[(2,2)] in the PhenomHM waveform.

            • +

          • mf_min (double, optional) – Dimensionless minimum frequency to use when performing +interpolation. (Default: 1e-4)

            • +

          • mf_max (double, optional) – Dimensionless maximum frequency to use when performing +interpolation. (Default: 6e-1)

            • +

          • initial_t_val (double, optional) – Time at the start of the +time window. This shifts the phase accordingly but does +not shift the tf correspondence so that the response +is still accurately reflected. (Default: 0.0)

            • +
          +
          +
          +
          +
          +allowable_modes
          +

          Allowed list of mode tuple pairs (l,m) for +the chosen waveform model.

          +
          +
          Type:
          +

          list

          +
          +
          +
          + +
          +
          +ells_default
          +

          Default values for the l index of the harmonic.

          +
          +
          Type:
          +

          np.ndarray

          +
          +
          +
          + +
          +
          +mms_default
          +

          Default values for the m index of the harmonic.

          +
          +
          Type:
          +

          np.ndarray

          +
          +
          +
          + +
          +
          +mf_max
          +

          Dimensionless maximum frequency to use when performing +interpolation.

          +
          +
          Type:
          +

          double

          +
          +
          +
          + +
          +
          +mf_min
          +

          Dimensionless minimum frequency to use when performing +interpolation.

          +
          +
          Type:
          +

          double

          +
          +
          +
          + +
          +
          +phenomhm_ringdown_freqs
          +

          Ringdown frequency determination in PhenomHM.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +phenomd_ringdown_freqs
          +

          Ringdown frequency determination in PhenomD.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +run_phenomd
          +

          If True, run the PhenomD +waveform rather than PhenomHM. Really this is the same +as choosing modes=[(2,2)] in the PhenomHM waveform.

          +
          +
          Type:
          +

          bool

          +
          +
          +
          + +
          +
          +use_gpu
          +

          If True, run on the GPU.

          +
          +
          Type:
          +

          bool

          +
          +
          +
          + +
          +
          +waveform_gen
          +

          Amplitude, phase, tf determination.

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +xp
          +

          numpy or cupy

          +
          +
          Type:
          +

          obj

          +
          +
          +
          + +
          +
          +y_rd
          +

          Y-values for PhenomD ringdown frequncy for Cubic Spline.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c1_rd
          +

          Cubic Spline c1 values for PhenomD ringdown frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c2_rd
          +

          Cubic Spline c2 values for PhenomD ringdown frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c3_rd
          +

          Cubic Spline c3 values for PhenomD ringdown frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +y_dm
          +

          Y-values for PhenomD damping frequncy for Cubic Spline.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c1_dm
          +

          Cubic Spline c1 values for PhenomD damping frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c2_dm
          +

          Cubic Spline c2 values for PhenomD damping frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +c3_dm
          +

          Cubic Spline c3 values for PhenomD damping frequency.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +waveform_carrier
          +

          Carrier for amplitude, phase, and tf information.

          +
          +
          Type:
          +

          xp.ndarray

          +
          +
          +
          + +
          +
          +property citation
          +

          Return citations for this class

          +
          + +
          +
          +property amp
          +

          Get the amplitude array with shape (num_bin_all, num_modes, length)

          +
          + +
          +
          +property phase
          +

          Get the phase array with shape (num_bin_all, num_modes, length)

          +
          + +
          +
          +property tf
          +

          Get the tf array with shape (num_bin_all, num_modes, length)

          +
          + +
          +
          +property freqs_shaped
          +

          Get the freqs array with shape (num_bin_all, length)

          +
          + +
          +
          +property freqs
          +

          Get the flat freqs array

          +
          + +
          +
          +__call__(m1, m2, chi1z, chi2z, distance, phi_ref, f_ref, t_ref, length, freqs=None, out_buffer=None, modes=None)
          +

          Generate PhenomHM/D waveforms

          +

          Generate PhenomHM/PhenomD waveforms based on user given quantitites +in the Amplitude-Phase representation.

          +
          +
          Parameters:
          +
            +

          • m1 (double scalar or np.ndarray) – Mass 1 in Solar Masses \((m1 > m2)\).

            • +

          • m2 (double or np.ndarray) – Mass 2 in Solar Masses \((m1 > m2)\).

            • +

          • chi1z (double or np.ndarray) – Dimensionless spin 1 (for Mass 1) in Solar Masses.

            • +

          • chi2z (double or np.ndarray) – Dimensionless spin 2 (for Mass 1) in Solar Masses.

            • +

          • distance (double or np.ndarray) – Luminosity distance in m.

            • +

          • phi_ref (double or np.ndarray) – Phase at f_ref.

            • +

          • f_ref (double or np.ndarray) – Reference frequency at which phi_ref and t_ref are set. +If f_ref == 0, it will be set internally by the PhenomHM code +to \(f_\text{max} = \text{max}(f^2A_{22}(f))\).

            • +

          • t_ref (double or np.ndarray) – Reference time in seconds. It is set at f_ref.

            • +

          • length (int) – Length of the frequency array over which the waveform is created.

            • +

          • freqs (1D or 2D xp.ndarray, optional) – If None, the class will generate the +frequency array over which the waveform is evaluated. If 1D xp.ndarray, +this array will be copied for all binaries evaluated. If 2D, +it must have shape (num_bin_all, length). (Default: None)

            • +

          • out_buffer (xp.ndarray, optional) – If None, a buffer array will be created. +If provided, it should be flattened from shape +(nparams, length, num_modes, num_bin_all). nparams can +be 3 if just evaluating PhenomHM/D. If using the same buffer for +the response it must be 9. (Default: None)

            • +

          • modes (list, optional) – Harmonic modes to use. If not given, they will +default to those available in the waveform model. For PhenomHM: +[(2,2), (3,3), (4,4), (2,1), (3,2), (4,3)]. For PhenomD: [(2,2)]. +(Default: None)

            • +
          +
          +
          +
          + +
          +
        diff --git a/docs/source/README.rst b/docs/source/README.rst index 4a77231..c7c5b2b 100644 --- a/docs/source/README.rst +++ b/docs/source/README.rst @@ -191,7 +191,7 @@ We use `SemVer `__ for versioning. For the versions available, see the `tags on this repository `__. -Current Version: 1.0.4 +Current Version: 1.0.5 Authors -------