Index

_

_loglkl() (pybird.inference.Inference method) _logm() (pybird.inference.Inference method)

_logp() (pybird.inference.Inference method) _set_taylor() (pybird.inference.Inference method)

A

a (pybird.integrated_model_jax.CustomActivation_jax attribute) alpha_sky (pybird.likelihood.Likelihood attribute) antiderivative() (pybird.module.InterpolatedUnivariateSpline method) AP() (pybird.projection.Projection method), [1]

arr_p (pybird.projection.Projection attribute) arrayLegendremukgrid (pybird.projection.Projection attribute) arrayLegendremusgrid (pybird.projection.Projection attribute) As_to_sigma8() (in module pybird.symbolic_pofk_linear)

B

b (pybird.integrated_model_jax.CustomActivation_jax attribute) b11 (pybird.bird.Bird attribute) b13 (pybird.bird.Bird attribute) b22 (pybird.bird.Bird attribute) b_name (pybird.likelihood.Likelihood attribute) bct (pybird.bird.Bird attribute) bg_name (pybird.likelihood.Likelihood attribute) bg_prior_mean (pybird.likelihood.Likelihood attribute) bg_prior_sigma (pybird.likelihood.Likelihood attribute) bias (pybird.correlator.Correlator attribute) (pybird.fftlog.FFTLog attribute) (pybird.inference.Inference attribute)

BiasCorrelator (class in pybird.correlator) binvol (pybird.projection.Projection attribute) Bird (class in pybird.bird) bird (pybird.correlator.Correlator attribute) bng_name (pybird.likelihood.Likelihood attribute) bng_prior_mean (pybird.likelihood.Likelihood attribute) bng_prior_sigma (pybird.likelihood.Likelihood attribute) bnlog_name (pybird.likelihood.Likelihood attribute) bnlog_prior_mean (pybird.likelihood.Likelihood attribute) bnlog_prior_sigma (pybird.likelihood.Likelihood attribute) boltzmann (pybird.fake.Fake attribute)

C

c (pybird.correlator.Correlator attribute) (pybird.cosmo.Cosmo attribute) (pybird.fake.Fake attribute) (pybird.likelihood.Likelihood attribute) (pybird.run.Run attribute) C() (pybird.greenfunction.GreenFunction method), [1] C11 (pybird.bird.Bird attribute) C13l (pybird.bird.Bird attribute) C22l (pybird.bird.Bird attribute) c_catalog (pybird.correlator.Correlator attribute) c_sky (pybird.likelihood.Likelihood attribute) Cct (pybird.bird.Bird attribute) Cf (pybird.bird.Bird attribute) cf (pybird.projection.Projection attribute) Cf() (pybird.nnlo.NNLO_counterterm method), [1] (pybird.nnlo.NNLO_higher_derivative method), [1] (pybird.nonlinear.NonLinear method), [1] Cf2Ps() (pybird.fourier.FourierTransform method), [1] Cfft (pybird.resum.Resum attribute) Cfftsettings (pybird.resum.Resum attribute) cH() (in module pybird.projection) (in module pybird.symbolic) check() (pybird.correlator.Option method), [1] (pybird.io_pb.ReadWrite method), [1] chi2_bg_prior_mean (pybird.likelihood.Likelihood attribute) class_settings (pybird.likelihood.Likelihood attribute) clean_lowk() (pybird.nonlinear.NonLinear method), [1] co (pybird.bird.Bird attribute) (pybird.correlator.Correlator attribute) (pybird.emulator.Emulator attribute) (pybird.fourier.FourierTransform attribute) (pybird.matching.Matching attribute) (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) (pybird.nonlinear.NonLinear attribute) (pybird.projection.Projection attribute) (pybird.resum.Resum attribute)

Coef() (pybird.fftlog.FFTLog method), [1] (pybird.nonlinear.NonLinear method), [1] CoefkPow() (pybird.nonlinear.NonLinear method), [1] CoefsPow() (pybird.nnlo.NNLO_counterterm method), [1] (pybird.nonlinear.NonLinear method), [1] CoefWindow() (in module pybird.fftlog) Common (class in pybird.common) compute() (pybird.correlator.Correlator method), [1] (pybird.symbolic.Symbolic method) concatenate() (pybird.bird.Bird method) config() (pybird.io_pb.ReadWrite method), [1] Correlator (class in pybird.correlator) correlator_sky (pybird.likelihood.Likelihood attribute) Cosmo (class in pybird.cosmo) cosmo (pybird.correlator.Correlator attribute) (pybird.fake.Fake attribute) cosmo_catalog (pybird.correlator.Correlator attribute) cosmo_prior_covmat (pybird.inference.Inference attribute) cosmo_prior_dict (pybird.inference.Inference attribute) CustomActivation_jax (class in pybird.integrated_model_jax)

D

D() (in module pybird.symbolic) (pybird.greenfunction.GreenFunction method), [1] D_fid (pybird.fake.Fake attribute) (pybird.projection.Projection attribute) d_sky (pybird.likelihood.Likelihood attribute) DA (pybird.bird.Bird attribute) DA() (in module pybird.projection) (in module pybird.symbolic) dampCf (pybird.resum.Resum attribute) dampPs (pybird.resum.Resum attribute) DD() (pybird.greenfunction.GreenFunction method), [1]

DDminus() (pybird.greenfunction.GreenFunction method), [1] default (pybird.correlator.Option attribute) degsq (pybird.fake.Fake attribute) derivative() (pybird.module.InterpolatedUnivariateSpline method) description (pybird.correlator.Option attribute) DgN() (in module pybird.projection) diff_all() (in module pybird.utils) dk (pybird.fake.Fake attribute) Dminus() (pybird.greenfunction.GreenFunction method), [1] dPcorr() (pybird.projection.Projection method), [1] dPuncorr() (pybird.projection.Projection method), [1]

E

e (pybird.fake.Fake attribute) eft_basis (pybird.bird.Bird attribute) (pybird.common.Common attribute) emu_IRPs11 (pybird.emulator.Emulator attribute) emu_IRPsct (pybird.emulator.Emulator attribute) emu_IRPsloop_hex (pybird.emulator.Emulator attribute) emu_IRPsloop_mono (pybird.emulator.Emulator attribute) emu_IRPsloop_quad (pybird.emulator.Emulator attribute) emu_path (pybird.emulator.Emulator attribute)

emu_ploopl_hex (pybird.emulator.Emulator attribute) emu_ploopl_mono (pybird.emulator.Emulator attribute) emu_ploopl_quad (pybird.emulator.Emulator attribute) Emulator (class in pybird.emulator) emulator (pybird.correlator.Correlator attribute) epsrel (pybird.greenfunction.GreenFunction attribute) error() (pybird.correlator.Option method), [1] exact_time (pybird.common.Common attribute) extractBAO() (pybird.resum.Resum method), [1]

F

f (pybird.bird.Bird attribute) f() (in module pybird.symbolic) F1_bg_prior_mean (pybird.likelihood.Likelihood attribute) F2_bg_prior_matrix (pybird.likelihood.Likelihood attribute) Fake (class in pybird.fake) fake_data_filename (pybird.fake.Fake attribute) fake_likelihood_config_filename (pybird.fake.Fake attribute) fft (pybird.fourier.FourierTransform attribute) (pybird.matching.Matching attribute) (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) (pybird.nonlinear.NonLinear attribute) (pybird.resum.Resum attribute) FFTLog (class in pybird.fftlog) fftPs2Cf (pybird.fourier.FourierTransform attribute) fftPs2Cfsettings (pybird.fourier.FourierTransform attribute) fftsettings (pybird.fourier.FourierTransform attribute) (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) (pybird.nonlinear.NonLinear attribute) (pybird.resum.Resum attribute)

fibcolWindow() (pybird.projection.Projection method), [1] fiducial_nuisance (pybird.fake.Fake attribute) fllp_IR() (in module pybird.projection) fllp_UV() (in module pybird.projection) fminus() (pybird.greenfunction.GreenFunction method), [1] fN() (in module pybird.projection) format() (pybird.io_pb.ReadWrite method), [1] FourierTransform (class in pybird.fourier) fplus() (pybird.greenfunction.GreenFunction method), [1] ft (pybird.projection.Projection attribute) FT() (pybird.nnlo.NNLO_higher_derivative method), [1] FT_Cf2Ps() (pybird.fourier.FourierTransform method), [1] FT_Ps2Cf() (pybird.fourier.FourierTransform method), [1] fullCf (pybird.bird.Bird attribute) fullPs (pybird.bird.Bird attribute)

G

G() (pybird.greenfunction.GreenFunction method), [1] G1d() (pybird.greenfunction.GreenFunction method), [1] G1t() (pybird.greenfunction.GreenFunction method) G2d() (pybird.greenfunction.GreenFunction method) G2t() (pybird.greenfunction.GreenFunction method) get() (pybird.correlator.Correlator method), [1] get_alpha_bao_rec() (pybird.likelihood.Likelihood method), [1] get_AP_param() (pybird.projection.Projection method), [1] get_approximate_D() (in module pybird.symbolic_pofk_linear) get_chi2_for_hessian() (pybird.likelihood.Likelihood method), [1] get_chi2_marg() (pybird.likelihood.Likelihood method), [1] get_chi2_non_marg() (pybird.likelihood.Likelihood method), [1] get_corr() (in module pybird.likelihood)

get_cov_gauss() (in module pybird.fake) get_dict_from_hdf5() (in module pybird.io_pb) get_eft_parameters() (pybird.likelihood.Likelihood method), [1] get_eisensteinhu_nw() (in module pybird.symbolic_pofk_linear) get_jax_enabled() (in module pybird.config) get_loop() (pybird.likelihood.Likelihood method), [1] get_param_name_and_pos() (pybird.inference.Inference method), [1] get_prior() (pybird.likelihood.Likelihood method), [1] get_wedge_rotation_matrix() (pybird.io_pb.ReadWrite method), [1] getIRPs() (pybird.resum.Resum method) getmarg() (pybird.correlator.Correlator method), [1] GreenFunction (class in pybird.greenfunction) growth_correction_R() (in module pybird.symbolic_pofk_linear)

H

H (pybird.bird.Bird attribute) H() (pybird.greenfunction.GreenFunction method), [1] H3() (pybird.greenfunction.GreenFunction method), [1] H_fid (pybird.fake.Fake attribute) (pybird.projection.Projection attribute)

halohalo (pybird.common.Common attribute) Hllp() (in module pybird.projection) Hubble() (in module pybird.projection) (in module pybird.symbolic) hyper_params (pybird.integrated_model_jax.Network attribute)

I

I (pybird.run.Run attribute) I1d() (pybird.greenfunction.GreenFunction method), [1] I1t() (pybird.greenfunction.GreenFunction method) I2d() (pybird.greenfunction.GreenFunction method) I2t() (pybird.greenfunction.GreenFunction method) Inference (class in pybird.inference) info() (pybird.correlator.Correlator method), [1] init() (pybird.inference.Inference method), [1] input_scaler (pybird.integrated_model_jax.IntegratedModel attribute) insert_zero_columns() (in module pybird.integrated_model_jax) integral() (pybird.module.InterpolatedUnivariateSpline method) integrAP() (pybird.projection.Projection method), [1] IntegratedModel (class in pybird.integrated_model_jax) integrBinning() (pybird.projection.Projection method), [1] integrWedges() (pybird.projection.Projection method), [1] integrWindow() (pybird.projection.Projection method), [1] InterpolatedUnivariateSpline (class in pybird.module) io (pybird.likelihood.Likelihood attribute)

ir13 (pybird.matching.Matching attribute) ir22 (pybird.matching.Matching attribute) IRCf() (pybird.resum.Resum method), [1] IRFilters() (pybird.resum.Resum method), [1] IRn() (pybird.resum.Resum method), [1] IRPs() (pybird.resum.Resum method), [1] IRPsCf() (pybird.matching.Matching method), [1] IU1d() (pybird.greenfunction.GreenFunction method), [1] IU1t() (pybird.greenfunction.GreenFunction method) IU2d() (pybird.greenfunction.GreenFunction method) IU2t() (pybird.greenfunction.GreenFunction method) IV11d() (pybird.greenfunction.GreenFunction method), [1] IV11t() (pybird.greenfunction.GreenFunction method), [1] IV12d() (pybird.greenfunction.GreenFunction method) IV12t() (pybird.greenfunction.GreenFunction method) IV21d() (pybird.greenfunction.GreenFunction method) IV21t() (pybird.greenfunction.GreenFunction method) IV22d() (pybird.greenfunction.GreenFunction method) IV22t() (pybird.greenfunction.GreenFunction method)

K

k (pybird.common.Common attribute) (pybird.nnlo.NNLO_higher_derivative attribute) k2p (pybird.resum.Resum attribute) kd (pybird.fake.Fake attribute) kdeep (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) keep_loop_pieces_independent (pybird.common.Common attribute) kin (pybird.bird.Bird attribute) (pybird.likelihood.Likelihood attribute) km (pybird.common.Common attribute) kmask (pybird.nnlo.NNLO_higher_derivative attribute) kmax (pybird.common.Common attribute) (pybird.fake.Fake attribute)

kmax_emu (pybird.emulator.Emulator attribute) kmin (pybird.common.Common attribute) (pybird.fake.Fake attribute) knots (pybird.emulator.Emulator attribute) knots_path (pybird.emulator.Emulator attribute) kPow (pybird.fourier.FourierTransform attribute) (pybird.nonlinear.NonLinear attribute) (pybird.resum.Resum attribute) kr (pybird.common.Common attribute) (pybird.resum.Resum attribute) kwargs (pybird.run.Run attribute)

L

L (pybird.inference.Inference attribute) l (pybird.inference.Inference attribute) L (pybird.projection.Projection attribute) l11 (pybird.common.Common attribute) l13 (pybird.common.Common attribute) l22 (pybird.common.Common attribute) LambdaIR (pybird.resum.Resum attribute) lct (pybird.common.Common attribute) Likelihood (class in pybird.likelihood) likelihood_config (pybird.inference.Inference attribute) (pybird.run.Run attribute)

list (pybird.correlator.Option attribute) lnnlo (pybird.common.Common attribute) load_engines() (pybird.correlator.Correlator method), [1] load_models() (pybird.emulator.Emulator method), [1] loadBinning() (pybird.projection.Projection method), [1] log10_S() (in module pybird.symbolic_pofk_linear) log_preprocess (pybird.integrated_model_jax.IntegratedModel attribute) logF_fiducial() (in module pybird.symbolic_pofk_linear) logknots (pybird.emulator.Emulator attribute) loglkl() (pybird.likelihood.Likelihood method), [1] Lp (pybird.projection.Projection attribute)

M

M (pybird.fourier.FourierTransform attribute) (pybird.inference.Inference attribute) (pybird.nnlo.NNLO_higher_derivative attribute) (pybird.resum.Resum attribute) M13 (pybird.nonlinear.NonLinear attribute) M13a() (in module pybird.nonlinear) M22 (pybird.nonlinear.NonLinear attribute) M22a() (in module pybird.nonlinear) m_sky (pybird.likelihood.Likelihood attribute) make_params() (pybird.emulator.Emulator method), [1] makeC11() (pybird.nonlinear.NonLinear method), [1] makeC13l() (pybird.nonlinear.NonLinear method), [1] makeC22l() (pybird.nonlinear.NonLinear method), [1] makeCct() (pybird.nonlinear.NonLinear method), [1] makeP13() (pybird.nonlinear.NonLinear method), [1] makeP22() (pybird.nonlinear.NonLinear method), [1] makeQ() (pybird.resum.Resum method), [1] marg_lkl (pybird.likelihood.Likelihood attribute) mat_kp (pybird.projection.Projection attribute) Matching (class in pybird.matching) matching (pybird.correlator.Correlator attribute) Mcf (pybird.nnlo.NNLO_counterterm attribute) Mcf11 (pybird.nonlinear.NonLinear attribute) Mcf13 (pybird.nonlinear.NonLinear attribute) Mcf22 (pybird.nonlinear.NonLinear attribute) Mcfct (pybird.nonlinear.NonLinear attribute) mesheval1d() (pybird.projection.Projection method), [1] mG1d() (pybird.greenfunction.GreenFunction method), [1] mG1t() (pybird.greenfunction.GreenFunction method) mG2d() (pybird.greenfunction.GreenFunction method) mG2t() (pybird.greenfunction.GreenFunction method) Ml (pybird.nonlinear.NonLinear attribute) (pybird.resum.Resum attribute) model (pybird.integrated_model_jax.IntegratedModel attribute) module pybird pybird.bird pybird.common pybird.config pybird.correlator pybird.cosmo pybird.emulator pybird.fake pybird.fftlog pybird.fourier pybird.greenfunction pybird.inference pybird.integrated_model_jax pybird.io_pb pybird.likelihood pybird.matching pybird.module pybird.nnlo pybird.nonlinear pybird.projection pybird.resum pybird.resumfactor pybird.run pybird.symbolic pybird.symbolic_pofk_linear pybird.utils

MPC() (in module pybird.fftlog) MPs2Cf (pybird.fourier.FourierTransform attribute) mU1d() (pybird.greenfunction.GreenFunction method), [1] mU1t() (pybird.greenfunction.GreenFunction method) mU2d() (pybird.greenfunction.GreenFunction method) mU2t() (pybird.greenfunction.GreenFunction method) muacc (pybird.projection.Projection attribute) mV11d() (pybird.greenfunction.GreenFunction method), [1] mV11t() (pybird.greenfunction.GreenFunction method), [1] mV12d() (pybird.greenfunction.GreenFunction method) mV12t() (pybird.greenfunction.GreenFunction method) mV21d() (pybird.greenfunction.GreenFunction method) mV21t() (pybird.greenfunction.GreenFunction method) mV22d() (pybird.greenfunction.GreenFunction method) mV22t() (pybird.greenfunction.GreenFunction method)

N

n1 (pybird.projection.Projection attribute) N11 (pybird.common.Common attribute) N13 (pybird.common.Common attribute) N22 (pybird.common.Common attribute) n_sky (pybird.fake.Fake attribute) Na (pybird.common.Common attribute) name (pybird.correlator.Option attribute) nbar (pybird.fake.Fake attribute) Nct (pybird.common.Common attribute) nd (pybird.common.Common attribute) need_cosmo_update (pybird.inference.Inference attribute) Network (class in pybird.integrated_model_jax) Ng (pybird.likelihood.Likelihood attribute) NIR (pybird.common.Common attribute) Nk (pybird.common.Common attribute)

Nl (pybird.common.Common attribute) Nloop (pybird.common.Common attribute) Nmax (pybird.fftlog.FFTLog attribute) Nn (pybird.common.Common attribute) NNLO_counterterm (class in pybird.nnlo) NNLO_higher_derivative (class in pybird.nnlo) Nnnlo (pybird.common.Common attribute) None (pybird.io_pb.ReadWrite attribute) nonequaltime (pybird.common.Common attribute) NonLinear (class in pybird.nonlinear) nonlinear (pybird.correlator.Correlator attribute) Ns (pybird.common.Common attribute) nsky (pybird.likelihood.Likelihood attribute) Nst (pybird.common.Common attribute) nz (pybird.projection.Projection attribute)

O

offset (pybird.integrated_model_jax.IntegratedModel attribute) Omega0_k (pybird.greenfunction.GreenFunction attribute) Omega0_m (pybird.greenfunction.GreenFunction attribute) Omega_m() (pybird.greenfunction.GreenFunction method), [1] Omega_m_fid (pybird.fake.Fake attribute) OmegaL_by_Omega_m (pybird.greenfunction.GreenFunction attribute) Option (class in pybird.correlator) optipath_bg (pybird.likelihood.Likelihood attribute) optipath_cf (pybird.resum.Resum attribute) optipath_chi2 (pybird.likelihood.Likelihood attribute)

optipath_F1 (pybird.likelihood.Likelihood attribute) optipath_F2 (pybird.likelihood.Likelihood attribute) optipath_IRPs (pybird.resum.Resum attribute) optipath_k2IRPs (pybird.resum.Resum attribute) optipath_XpYpC (pybird.resum.Resum attribute) optipathC13l (pybird.nonlinear.NonLinear attribute) optipathC22l (pybird.nonlinear.NonLinear attribute) optipathP22 (pybird.nonlinear.NonLinear attribute) optiresum (pybird.common.Common attribute) out (pybird.likelihood.Likelihood attribute) output_scaler (pybird.integrated_model_jax.IntegratedModel attribute)

P

P0 (pybird.fake.Fake attribute) P11 (pybird.bird.Bird attribute) P13 (pybird.bird.Bird attribute) P22 (pybird.bird.Bird attribute) p_all (pybird.likelihood.Likelihood attribute) p_sky (pybird.likelihood.Likelihood attribute) pad_along_axis() (in module pybird.matching) path_to_config (pybird.fake.Fake attribute) path_to_data (pybird.fake.Fake attribute) path_to_output (pybird.run.Run attribute) pca (pybird.integrated_model_jax.IntegratedModel attribute) pca_components (pybird.integrated_model_jax.IntegratedModel attribute) pca_mean (pybird.integrated_model_jax.IntegratedModel attribute) pca_scaler (pybird.integrated_model_jax.IntegratedModel attribute) pca_scaler_mean (pybird.integrated_model_jax.IntegratedModel attribute) pca_scaler_scale (pybird.integrated_model_jax.IntegratedModel attribute) Pin (pybird.bird.Bird attribute) Plin (pybird.bird.Bird attribute) plin_emulated() (in module pybird.symbolic_pofk_linear) points (pybird.projection.Projection attribute) predict() (pybird.integrated_model_jax.IntegratedModel method), [1] prior_inv_corr_matrix (pybird.likelihood.Likelihood attribute) Projection (class in pybird.projection) projection (pybird.correlator.Correlator attribute) Ps (pybird.bird.Bird attribute) Ps() (pybird.nnlo.NNLO_counterterm method), [1] (pybird.nnlo.NNLO_higher_derivative method), [1] (pybird.nonlinear.NonLinear method), [1] (pybird.resum.Resum method), [1] Ps2Cf() (pybird.fourier.FourierTransform method), [1] (pybird.nnlo.NNLO_higher_derivative method), [1] (pybird.resum.Resum method), [1] PsCf() (pybird.nonlinear.NonLinear method), [1] (pybird.resum.Resum method), [1] PsCf_resum() (pybird.emulator.Emulator method), [1] pvalue() (in module pybird.run) pybird module pybird.bird module pybird.common module pybird.config module

pybird.correlator module pybird.cosmo module pybird.emulator module pybird.fake module pybird.fftlog module pybird.fourier module pybird.greenfunction module pybird.inference module pybird.integrated_model_jax module pybird.io_pb module pybird.likelihood module pybird.matching module pybird.module module pybird.nnlo module pybird.nonlinear module pybird.projection module pybird.resum module pybird.resumfactor module pybird.run module pybird.symbolic module pybird.symbolic_pofk_linear module pybird.utils module pyegg (pybird.nonlinear.NonLinear attribute)

Q

qIR (pybird.matching.Matching attribute) quintessence (pybird.common.Common attribute) (pybird.greenfunction.GreenFunction attribute)

qUV (pybird.matching.Matching attribute)

R

read() (pybird.io_pb.ReadWrite method), [1] ReadWrite (class in pybird.io_pb) redshift() (pybird.projection.Projection method), [1] reducePsCfl() (pybird.bird.Bird method), [1] reducePsCflf() (pybird.bird.Bird method) reload_modules() (in module pybird.config)

rescaling_factor (pybird.integrated_model_jax.IntegratedModel attribute) reshape_bird() (in module pybird.utils) restore() (pybird.integrated_model_jax.IntegratedModel method), [1] Resum (class in pybird.resum) resum (pybird.correlator.Correlator attribute) Run (class in pybird.run) run() (pybird.run.Run method)

S

s (pybird.common.Common attribute) save_dict_to_hdf5() (in module pybird.io_pb) sbao (pybird.resum.Resum attribute) scaler_mean_in (pybird.integrated_model_jax.IntegratedModel attribute) scaler_mean_out (pybird.integrated_model_jax.IntegratedModel attribute) scaler_scale_in (pybird.integrated_model_jax.IntegratedModel attribute) scaler_scale_out (pybird.integrated_model_jax.IntegratedModel attribute) set() (pybird.correlator.Correlator method), [1] (pybird.fake.Fake method), [1] (pybird.symbolic.Symbolic method) set_bao_rec() (pybird.likelihood.Likelihood method), [1] set_boost() (pybird.likelihood.Likelihood method), [1] set_class_settings() (pybird.likelihood.Likelihood method), [1] set_config() (pybird.likelihood.Likelihood method), [1] set_config_and_boltzmann() (pybird.inference.Inference method), [1] set_correlator() (pybird.fake.Fake method), [1] set_cosmo() (pybird.cosmo.Cosmo method), [1] set_data() (pybird.likelihood.Likelihood method), [1] set_debiasing() (pybird.inference.Inference method), [1] set_eft_parameters() (pybird.likelihood.Likelihood method), [1] set_fake() (pybird.inference.Inference method), [1] set_header() (pybird.io_pb.ReadWrite method), [1] (pybird.run.Run method), [1] set_jax_enabled() (in module pybird.config) set_logp() (pybird.inference.Inference method), [1] set_minimizer() (pybird.inference.Inference method), [1] set_model_cache() (pybird.inference.Inference method), [1] (pybird.likelihood.Likelihood method), [1] set_need_cosmo_update() (pybird.inference.Inference method), [1] set_nuisance() (pybird.fake.Fake method), [1] (pybird.inference.Inference method), [1] set_out() (pybird.likelihood.Likelihood method), [1] set_sampler() (pybird.inference.Inference method), [1] set_survey_specific() (pybird.fake.Fake method), [1] set_taylor() (pybird.inference.Inference method), [1] setBias() (pybird.bird.Bird method), [1] setCf() (pybird.bird.Bird method), [1] setcosmo() (pybird.bird.Bird method), [1] setfullCf() (pybird.bird.Bird method), [1] setfullPs() (pybird.bird.Bird method), [1] setIRPs() (pybird.bird.Bird method) setkPow() (pybird.fourier.FourierTransform method), [1] (pybird.nonlinear.NonLinear method), [1] (pybird.resum.Resum method), [1] setM() (pybird.fourier.FourierTransform method), [1] (pybird.nnlo.NNLO_higher_derivative method), [1] (pybird.resum.Resum method), [1]

setM13() (pybird.nonlinear.NonLinear method), [1] setM22() (pybird.nonlinear.NonLinear method), [1] setMcf() (pybird.nnlo.NNLO_counterterm method), [1] setMcf11() (pybird.nonlinear.NonLinear method), [1] setMcf13() (pybird.nonlinear.NonLinear method), [1] setMcf22() (pybird.nonlinear.NonLinear method), [1] setMcfct() (pybird.nonlinear.NonLinear method), [1] setMl() (pybird.nonlinear.NonLinear method), [1] (pybird.resum.Resum method), [1] setMPs2Cf() (pybird.fourier.FourierTransform method), [1] setPow() (pybird.fftlog.FFTLog method), [1] setPs() (pybird.bird.Bird method), [1] setPsCf() (pybird.bird.Bird method), [1] setPsCfl() (pybird.bird.Bird method), [1] (pybird.emulator.Emulator method), [1] setreduceCflb() (pybird.bird.Bird method) setreducePslb() (pybird.bird.Bird method) setresumCf() (pybird.bird.Bird method) setresumPs() (pybird.bird.Bird method) setsPow() (pybird.fourier.FourierTransform method), [1] (pybird.nnlo.NNLO_counterterm method), [1] (pybird.nnlo.NNLO_higher_derivative method), [1] (pybird.nonlinear.NonLinear method), [1] (pybird.resum.Resum method), [1] settime() (pybird.bird.Bird method) setx() (pybird.fftlog.FFTLog method), [1] setXM() (pybird.resum.Resum method), [1] setXpYp() (pybird.resum.Resum method), [1] setXsPow() (pybird.resum.Resum method), [1] sigma8_to_As() (in module pybird.symbolic_pofk_linear) smask_in (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) smask_out (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) snobao (pybird.resum.Resum attribute) sPow (pybird.fourier.FourierTransform attribute) (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) (pybird.nonlinear.NonLinear attribute) (pybird.resum.Resum attribute) sr (pybird.resum.Resum attribute) subtractShotNoise() (pybird.bird.Bird method) sumCoefxPow() (pybird.fftlog.FFTLog method), [1] swin (pybird.nnlo.NNLO_counterterm attribute) (pybird.nnlo.NNLO_higher_derivative attribute) Symbolic (class in pybird.symbolic)

T

T (pybird.inference.Inference attribute) temp_file (pybird.integrated_model_jax.IntegratedModel attribute) test() (pybird.fake.Fake method), [1] Tng_k_cache (pybird.likelihood.Likelihood attribute) to_list() (pybird.fake.Fake method), [1]

train_losses (pybird.integrated_model_jax.IntegratedModel attribute) translate_catalog_to_dict() (in module pybird.correlator) tree_flatten() (pybird.module.InterpolatedUnivariateSpline method) tree_unflatten() (pybird.module.InterpolatedUnivariateSpline class method) type (pybird.correlator.Option attribute) typename() (in module pybird.correlator)

U

unravel() (pybird.bird.Bird method) update_boltzmann() (pybird.inference.Inference method), [1]

uv13 (pybird.matching.Matching attribute) uv22 (pybird.matching.Matching attribute) UVPsCf() (pybird.matching.Matching method), [1]

V

val_losses (pybird.integrated_model_jax.IntegratedModel attribute) value (pybird.correlator.Option attribute) vectorize (pybird.greenfunction.GreenFunction attribute)

Veff (pybird.fake.Fake attribute) verbose (pybird.correlator.Option attribute) (pybird.integrated_model_jax.IntegratedModel attribute)

W

w (pybird.greenfunction.GreenFunction attribute) W() (pybird.greenfunction.GreenFunction method), [1] W2D() (in module pybird.projection) wcdm (pybird.greenfunction.GreenFunction attribute) wedge_mat_wl (pybird.projection.Projection attribute) Wedges() (pybird.projection.Projection method), [1] Wedges_external() (pybird.projection.Projection method), [1] weights (pybird.integrated_model_jax.Network attribute) Window() (pybird.projection.Projection method), [1] with_bias (pybird.bird.Bird attribute) with_cf (pybird.common.Common attribute) with_emu (pybird.common.Common attribute)

with_irmatch (pybird.common.Common attribute) with_nnlo_counterterm (pybird.bird.Bird attribute) with_stoch (pybird.bird.Bird attribute) with_tidal_alignments (pybird.bird.Bird attribute) (pybird.common.Common attribute) with_time (pybird.common.Common attribute) with_uvmatch (pybird.common.Common attribute) write() (pybird.io_pb.ReadWrite method), [1] (pybird.likelihood.Likelihood method), [1] write_bao_rec() (pybird.io_pb.ReadWrite method), [1] write_cf() (pybird.io_pb.ReadWrite method), [1] write_common() (pybird.io_pb.ReadWrite method), [1] write_pk() (pybird.io_pb.ReadWrite method), [1]

X

xbinning() (pybird.projection.Projection method), [1] xdata() (pybird.projection.Projection method), [1] Xfft (pybird.resum.Resum attribute) Xfftsettings (pybird.resum.Resum attribute)

XM (pybird.resum.Resum attribute) xmax (pybird.fftlog.FFTLog attribute) xmin (pybird.fftlog.FFTLog attribute) xout (pybird.projection.Projection attribute) XsPow (pybird.resum.Resum attribute)

Y

Y() (pybird.greenfunction.GreenFunction method), [1]

y_all (pybird.likelihood.Likelihood attribute) y_sky (pybird.likelihood.Likelihood attribute)

Z

z (pybird.bird.Bird attribute) zeff (pybird.fake.Fake attribute) zero_columns (pybird.integrated_model_jax.IntegratedModel attribute)

zmax (pybird.fake.Fake attribute) zmin (pybird.fake.Fake attribute) zz (pybird.projection.Projection attribute)