示例#1
0
def main():
    f = viscid.load_file("~/dev/work/tmedium/*.3d.[-1].xdmf")
    grid = f.get_grid()

    gslc = "x=-26f:12.5f, y=-15f:15f, z=-15f:15f"
    # gslc = "x=-12.5f:26f, y=-15f:15f, z=-15f:15f"

    b_cc = f['b_cc'][gslc]
    b_cc.name = "b_cc"
    b_fc = f['b_fc'][gslc]
    b_fc.name = "b_fc"

    e_cc = f['e_cc'][gslc]
    e_cc.name = "e_cc"
    e_ec = f['e_ec'][gslc]
    e_ec.name = "e_ec"

    pp = f['pp'][gslc]
    pp.name = 'pp'

    pargs = dict(logscale=True, earth=True)

    # mpl.clf()
    # ax1 = mpl.subplot(211)
    # mpl.plot(f['pp']['y=0f'], **pargs)
    # # mpl.plot(viscid.magnitude(f['b_cc']['y=0f']), **pargs)
    # # mpl.show()
    # mpl.subplot(212, sharex=ax1, sharey=ax1)
    # mpl.plot(viscid.magnitude(viscid.fc2cc(f['b_fc'])['y=0f']), **pargs)
    # mpl.show()

    basename = './tmediumR.3d.{0:06d}'.format(int(grid.time))
    viscid.save_fields(basename + '.h5', [b_cc, b_fc, e_cc, e_ec, pp])

    f2 = viscid.load_file(basename + ".xdmf")

    pargs = dict(logscale=True, earth=True)

    mpl.clf()
    ax1 = mpl.subplot(211)
    mpl.plot(f2['pp']['y=0f'], style='contour', levels=5, colorbar=None,
             colors='k', **pargs)
    mpl.plot(viscid.magnitude(f2['b_cc']['y=0f']), **pargs)
    mpl.subplot(212, sharex=ax1, sharey=ax1)
    mpl.plot(viscid.magnitude(viscid.fc2cc(f2['b_fc'])['y=0f']), **pargs)
    mpl.show()

    os.remove(basename + '.h5')
    os.remove(basename + '.xdmf')

    return 0
示例#2
0
def main():
    f = viscid.load_file("~/dev/work/tmedium/*.3d.[-1].xdmf")
    grid = f.get_grid()

    gslc = "x=-26f:12.5f, y=-15f:15f, z=-15f:15f"
    # gslc = "x=-12.5f:26f, y=-15f:15f, z=-15f:15f"

    b_cc = f['b_cc'][gslc]
    b_cc.name = "b_cc"
    b_fc = f['b_fc'][gslc]
    b_fc.name = "b_fc"

    e_cc = f['e_cc'][gslc]
    e_cc.name = "e_cc"
    e_ec = f['e_ec'][gslc]
    e_ec.name = "e_ec"

    pp = f['pp'][gslc]
    pp.name = 'pp'

    pargs = dict(logscale=True, earth=True)

    # vlt.clf()
    # ax1 = vlt.subplot(211)
    # vlt.plot(f['pp']['y=0f'], **pargs)
    # # vlt.plot(viscid.magnitude(f['b_cc']['y=0f']), **pargs)
    # # vlt.show()
    # vlt.subplot(212, sharex=ax1, sharey=ax1)
    # vlt.plot(viscid.magnitude(viscid.fc2cc(f['b_fc'])['y=0f']), **pargs)
    # vlt.show()

    basename = './tmediumR.3d.{0:06d}'.format(int(grid.time))
    viscid.save_fields(basename + '.h5', [b_cc, b_fc, e_cc, e_ec, pp])

    f2 = viscid.load_file(basename + ".xdmf")

    pargs = dict(logscale=True, earth=True)

    vlt.clf()
    ax1 = vlt.subplot(211)
    vlt.plot(f2['pp']['y=0f'], style='contour', levels=5, colorbar=None,
             colors='k', **pargs)
    vlt.plot(viscid.magnitude(f2['b_cc']['y=0f']), **pargs)
    vlt.subplot(212, sharex=ax1, sharey=ax1)
    vlt.plot(viscid.magnitude(viscid.fc2cc(f2['b_fc'])['y=0f']), **pargs)
    vlt.show()

    os.remove(basename + '.h5')
    os.remove(basename + '.xdmf')

    return 0
示例#3
0
def _main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--show", "--plot", action="store_true")
    parser.add_argument("--keep", action="store_true")
    args = vutil.common_argparse(parser)

    # setup a simple force free field
    x = np.linspace(-2, 2, 20)
    y = np.linspace(-2.5, 2.5, 25)
    z = np.linspace(-3, 3, 30)
    psi = viscid.empty([x, y, z], name='psi', center='node')
    b = viscid.empty([x, y, z],
                     nr_comps=3,
                     name='b',
                     center='cell',
                     layout='interlaced')

    X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
    Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
    psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
    b['x'] = Xcc
    b['y'] = Ycc
    b['z'] = -Zcc

    # save an hdf5 file with companion xdmf file
    h5_fname = os.path.join(viscid.sample_dir, "test.h5")
    viscid.save_fields(h5_fname, [psi, b])

    # load the companion xdmf file
    xdmf_fname = h5_fname[:-3] + ".xdmf"
    f = viscid.load_file(xdmf_fname)
    plt.subplot(131)
    vlt.plot(f['psi'], "y=0")
    plt.subplot(132)
    vlt.plot(f['b'].component_fields()[0], "y=0")
    plt.subplot(133)
    vlt.plot(f['b'].component_fields()[2], "y=0")

    plt.savefig(next_plot_fname(__file__))
    if args.show:
        plt.show()

    if not args.keep:
        os.remove(h5_fname)
        os.remove(xdmf_fname)

    return 0
示例#4
0
def _main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--show", "--plot", action="store_true")
    parser.add_argument("--keep", action="store_true")
    args = vutil.common_argparse(parser)

    # setup a simple force free field
    x = np.linspace(-2, 2, 20)
    y = np.linspace(-2.5, 2.5, 25)
    z = np.linspace(-3, 3, 30)
    psi = viscid.empty([x, y, z], name='psi', center='node')
    b = viscid.empty([x, y, z], nr_comps=3, name='b', center='cell',
                     layout='interlaced')

    X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
    Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
    psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
    b['x'] = Xcc
    b['y'] = Ycc
    b['z'] = -Zcc

    # save an hdf5 file with companion xdmf file
    h5_fname = os.path.join(".", "test.h5")
    viscid.save_fields(h5_fname, [psi, b])

    # load the companion xdmf file
    xdmf_fname = h5_fname[:-3] + ".xdmf"
    f = viscid.load_file(xdmf_fname)
    plt.subplot(131)
    vlt.plot(f['psi'], "y=0")
    plt.subplot(132)
    vlt.plot(f['b'].component_fields()[0], "y=0")
    plt.subplot(133)
    vlt.plot(f['b'].component_fields()[2], "y=0")

    plt.savefig(next_plot_fname(__file__))
    if args.show:
        plt.show()

    if not args.keep:
        os.remove(h5_fname)
        os.remove(xdmf_fname)

    return 0
示例#5
0
def main():
    parser = argparse.ArgumentParser(description="Test xdmf")
    parser.add_argument("--show", "--plot", action="store_true")
    parser.add_argument("--keep", action="store_true")
    args = vutil.common_argparse(parser)

    # setup a simple force free field
    x = np.linspace(-2, 2, 20)
    y = np.linspace(-2.5, 2.5, 25)
    z = np.linspace(-3, 3, 30)
    psi = viscid.empty([x, y, z], name="psi", center="node")
    b = viscid.empty([x, y, z], nr_comps=3, name="b", center="cell", layout="interlaced")

    X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
    Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
    psi[:, :, :] = 0.5 * (X ** 2 + Y ** 2 - Z ** 2)
    b["x"] = Xcc
    b["y"] = Ycc
    b["z"] = -Zcc

    # save an hdf5 file with companion xdmf file
    h5_fname = sample_dir + "/test.h5"
    viscid.save_fields(h5_fname, [psi, b])

    # load the companion xdmf file
    xdmf_fname = h5_fname[:-3] + ".xdmf"
    f = viscid.load_file(xdmf_fname)
    plt.subplot(131)
    mpl.plot(f["psi"], "y=0")
    plt.subplot(132)
    mpl.plot(f["b"].component_fields()[0], "y=0")
    plt.subplot(133)
    mpl.plot(f["b"].component_fields()[2], "y=0")

    mpl.plt.savefig(next_plot_fname(__file__))
    if args.show:
        plt.show()

    if not args.keep:
        os.remove(h5_fname)
        os.remove(xdmf_fname)
示例#6
0
def main():
    parser = argparse.ArgumentParser(description="Test xdmf")
    parser.add_argument("--show", "--plot", action="store_true")
    parser.add_argument("--keep", action="store_true")
    args = vutil.common_argparse(parser)

    # setup a simple force free field
    x = np.linspace(-2, 2, 20)
    y = np.linspace(-2.5, 2.5, 25)
    z = np.linspace(-3, 3, 30)
    psi = viscid.empty([x, y, z], name='psi', center='node')
    b = viscid.empty([x, y, z], nr_comps=3, name='b', center='cell',
                     layout='interlaced')

    X, Y, Z = psi.get_crds_nc("xyz", shaped=True)
    Xcc, Ycc, Zcc = psi.get_crds_cc("xyz", shaped=True)
    psi[:, :, :] = 0.5 * (X**2 + Y**2 - Z**2)
    b['x'] = Xcc
    b['y'] = Ycc
    b['z'] = -Zcc

    fname = sample_dir + '/test.npz'
    viscid.save_fields(fname, [psi, b])

    f = viscid.load_file(fname)
    plt.subplot(131)
    mpl.plot(f['psi'], "y=0")
    plt.subplot(132)
    mpl.plot(f['b'].component_fields()[0], "y=0")
    plt.subplot(133)
    mpl.plot(f['b'].component_fields()[2], "y=0")

    mpl.plt.savefig(next_plot_fname(__file__))
    if args.show:
        plt.show()

    if not args.keep:
        os.remove(fname)
示例#7
0
def get_mp_info(pp, b, j, e, cache=True, cache_dir=None,
                slc="x=5.5j:11.0j, y=-4.0j:4.0j, z=-3.6j:3.6j",
                fit="mp_xloc", fit_p0=(9.0, 0.0, 0.0, 1.0, -1.0, -1.0)):
    """Get info about m-pause as flattened fields

    Notes:
        The first thing this function does is mask locations where
        the GSE-y current density < 1e-4. This masks out the bow
        shock and current free regions. This works for southward IMF,
        but it is not very general.

    Parameters:
        pp (ScalarcField): pressure
        b (VectorField): magnetic field
        j (VectorField): current density
        e (VectorField, None): electric field (same centering as b). If
            None, then the info that requires E will be filled with NaN
        cache (bool, str): Save to and load from cache, if "force",
            then don't load from cache if it exists, but do save a
            cache at the end
        cache_dir (str): Directory for cache, if None, same directory
            as that file to which the grid belongs
        slc (str): slice that gives a box that contains the m-pause
        fit (str): to which resulting field should the paraboloid be fit,
            defaults to mp_xloc, but pp_max_xloc might be useful in some
            circumstances
        fit_p0 (tuple): Initial guess vector for paraboloid fit

    Returns:
        dict: Unless otherwise noted, the entiries are 2D (y-z) fields

          - **mp_xloc** location of minimum abs(Bz), this works
            better than max of J^2 for FTEs
          - **mp_sheath_edge** location where Jy > 0.1 * Jy when
            coming in from the sheath side
          - **mp_sphere_edge** location where Jy > 0.1 * Jy when
            coming in from the sphere side
          - **mp_width** difference between m-sheath edge and
            msphere edge
          - **mp_shear** magnetic shear taken 6 grid points into
            the m-sheath / m-sphere
          - **pp_max** max pp
          - **pp_max_xloc** location of max pp
          - **epar_max** max e parallel
          - **epar_max_xloc** location of max e parallel
          - **paraboloid** numpy.recarray of paraboloid fit. The
            parameters are given in the 0th element, and
            the 1st element contains the 1-sigma values for the fit

    Raises:
        RuntimeError: if using MHD crds instead of GSE crds
    """
    if not cache_dir:
        cache_dir = pp.find_info("_viscid_dirname", "./")
    run_name = pp.find_info("run", None)
    if cache and run_name:
        t = pp.time
        mp_fname = "{0}/{1}.mpause.{2:06.0f}".format(cache_dir, run_name, t)
    else:
        mp_fname = ""

    try:
        force = cache.strip().lower() == "force"
    except AttributeError:
        force = False

    try:
        if force or not mp_fname or not os.path.isfile(mp_fname + ".xdmf"):
            raise IOError()

        mp_info = {}
        with viscid.load_file(mp_fname + ".xdmf") as dat:
            fld_names = ["mp_xloc", "mp_sheath_edge", "mp_sphere_edge",
                         "mp_width", "mp_shear", "pp_max", "pp_max_xloc",
                         "epar_max", "epar_max_xloc"]
            for fld_name in fld_names:
                mp_info[fld_name] = dat[fld_name]["x=0"]

    except (IOError, KeyError):
        mp_info = {}

        crd_system = viscid.as_crd_system(b, None)
        if crd_system != 'gse':
            raise RuntimeError("get_mp_info can't work in MHD crds, "
                               "switch to GSE please")

        if j.nr_patches == 1:
            pp_block = pp[slc]
            b_block = b[slc]
            j_block = j[slc]
            if e is None:
                e_block = np.nan * viscid.empty_like(j_block)
            else:
                e_block = e[slc]
        else:
            # interpolate an amr grid so we can proceed
            obnd = pp.get_slice_extent(slc)
            dx = np.min(pp.skeleton.L / pp.skeleton.n, axis=0)
            nx = np.ceil((obnd[1] - obnd[0]) / dx)
            vol = viscid.seed.Volume(obnd[0], obnd[1], nx, cache=True)
            pp_block = vol.wrap_field(viscid.interp_trilin(pp, vol),
                                      name="P").as_cell_centered()
            b_block = vol.wrap_field(viscid.interp_trilin(b, vol),
                                     name="B").as_cell_centered()
            j_block = vol.wrap_field(viscid.interp_trilin(j, vol),
                                     name="J").as_cell_centered()
            if e is None:
                e_block = np.nan * viscid.empty_like(j_block)
            else:
                e_block = vol.wrap_field(viscid.interp_trilin(e, vol),
                                         name="E").as_cell_centered()

        # jsq = viscid.dot(j_block, j_block)
        bsq = viscid.dot(b_block, b_block)

        # extract ndarrays and mask out bow shock / current free regions
        maskval = 1e-4
        jy_mask = j_block['y'].data < maskval
        masked_bsq = 1.0 * bsq
        masked_bsq.data = np.ma.masked_where(jy_mask, bsq)

        xcc = j_block.get_crd_cc('x')
        nx = len(xcc)

        mp_xloc = np.argmin(masked_bsq, axis=0)  # indices
        mp_xloc = mp_xloc.wrap(xcc[mp_xloc.data])  # location

        pp_max = np.max(pp_block, axis=0)
        pp_max_xloc = np.argmax(pp_block, axis=0)  # indices
        pp_max_xloc = pp_max_xloc.wrap(xcc[pp_max_xloc.data])  # location

        epar = viscid.project(e_block, b_block)
        epar_max = np.max(epar, axis=0)
        epar_max_xloc = np.argmax(epar, axis=0)  # indices
        epar_max_xloc = pp_max_xloc.wrap(xcc[epar_max_xloc.data])  # location

        _ret = find_mp_edges(j_block, 0.1, 0.1, maskval=maskval)
        sheath_edge, msphere_edge, mp_width, sheath_ind, sphere_ind = _ret

        # extract b and b**2 at sheath + 6 grid points and sphere - 6 grid pointns
        # clipping cases where things go outside the block. clipped ponints are
        # set to nan
        step = 6
        # extract b
        if b_block.layout == "flat":
            comp_axis = 0
            ic, _, iy, iz = np.ix_(*[np.arange(si) for si in b_block.shape])
            ix = np.clip(sheath_ind + step, 0, nx - 1)
            b_sheath = b_block.data[ic, ix, iy, iz]
            ix = np.clip(sheath_ind - step, 0, nx - 1)
            b_sphere = b_block.data[ic, ix, iy, iz]
        elif b_block.layout == "interlaced":
            comp_axis = 3
            _, iy, iz = np.ix_(*[np.arange(si) for si in b_block.shape[:-1]])
            ix = np.clip(sheath_ind + step, 0, nx - 1)
            b_sheath = b_block.data[ix, iy, iz]
            ix = np.clip(sheath_ind - step, 0, nx - 1)
            b_sphere = b_block.data[ix, iy, iz]
        # extract b**2
        bmag_sheath = np.sqrt(np.sum(b_sheath**2, axis=comp_axis))
        bmag_sphere = np.sqrt(np.sum(b_sphere**2, axis=comp_axis))
        costheta = (np.sum(b_sheath * b_sphere, axis=comp_axis) /
                    (bmag_sphere * bmag_sheath))
        costheta = np.where((sheath_ind + step < nx) & (sphere_ind - step >= 0),
                            costheta, np.nan)
        mp_shear = mp_width.wrap((180.0 / np.pi) * np.arccos(costheta))

        # don't bother with pretty name since it's not written to file
        # plane_crds = b_block.crds.slice_keep('x=0', cc=True)
        # fld_kwargs = dict(center="Cell", time=b.time)
        mp_width.name = "mp_width"
        mp_xloc.name = "mp_xloc"
        sheath_edge.name = "mp_sheath_edge"
        msphere_edge.name = "mp_sphere_edge"
        mp_shear.name = "mp_shear"
        pp_max.name = "pp_max"
        pp_max_xloc.name = "pp_max_xloc"
        epar_max.name = "epar_max"
        epar_max_xloc.name = "epar_max_xloc"

        mp_info = {}
        mp_info["mp_width"] = mp_width
        mp_info["mp_xloc"] = mp_xloc
        mp_info["mp_sheath_edge"] = sheath_edge
        mp_info["mp_sphere_edge"] = msphere_edge
        mp_info["mp_shear"] = mp_shear
        mp_info["pp_max"] = pp_max
        mp_info["pp_max_xloc"] = pp_max_xloc
        mp_info["epar_max"] = epar_max
        mp_info["epar_max_xloc"] = epar_max_xloc

        # cache new fields to disk
        if mp_fname:
            viscid.save_fields(mp_fname + ".h5", list(mp_info.values()))

    try:
        _paraboloid_params = fit_paraboloid(mp_info[fit], p0=fit_p0)
        mp_info["paraboloid"] = _paraboloid_params
    except ImportError as _exception:
        try:
            msg = _exception.message
        except AttributeError:
            msg = _exception.msg
        mp_info["paraboloid"] = viscid.DeferredImportError(msg)

    mp_info["mp_width"].pretty_name = "Magnetopause Width"
    mp_info["mp_xloc"].pretty_name = "Magnetopause $X_{gse}$ Location"
    mp_info["mp_sheath_edge"].pretty_name = "Magnetosheath Edge"
    mp_info["mp_sphere_edge"].pretty_name = "Magnetosphere Edge"
    mp_info["mp_shear"].pretty_name = "Magnetic Shear"
    mp_info["pp_max"].pretty_name = "Max Pressure"
    mp_info["pp_max_xloc"].pretty_name = "Max Pressure Location"
    mp_info["epar_max"].pretty_name = "Max E Parallel"
    mp_info["epar_max_xloc"].pretty_name = "Max E Parallel Location"

    return mp_info
示例#8
0
def get_mp_info(pp,
                b,
                j,
                e,
                cache=True,
                cache_dir=None,
                slc="x=5.5f:11.0f, y=-4.0f:4.0f, z=-3.6f:3.6f",
                fit="mp_xloc",
                fit_p0=(9.0, 0.0, 0.0, 1.0, -1.0, -1.0)):
    """Get info about m-pause as flattened fields

    Notes:
        The first thing this function does is mask locations where
        the GSE-y current density < 1e-4. This masks out the bow
        shock and current free regions. This works for southward IMF,
        but it is not very general.

    Parameters:
        pp (ScalarcField): pressure
        b (VectorField): magnetic field
        j (VectorField): current density
        e (VectorField, None): electric field (same centering as b). If
            None, then the info that requires E will be filled with NaN
        cache (bool, str): Save to and load from cache, if "force",
            then don't load from cache if it exists, but do save a
            cache at the end
        cache_dir (str): Directory for cache, if None, same directory
            as that file to which the grid belongs
        slc (str): slice that gives a box that contains the m-pause
        fit (str): to which resulting field should the paraboloid be fit,
            defaults to mp_xloc, but pp_max_xloc might be useful in some
            circumstances
        fit_p0 (tuple): Initial guess vector for paraboloid fit

    Returns:
        dict: Unless otherwise noted, the entiries are 2D (y-z) fields

          - **mp_xloc** location of minimum abs(Bz), this works
            better than max of J^2 for FTEs
          - **mp_sheath_edge** location where Jy > 0.1 * Jy when
            coming in from the sheath side
          - **mp_sphere_edge** location where Jy > 0.1 * Jy when
            coming in from the sphere side
          - **mp_width** difference between m-sheath edge and
            msphere edge
          - **mp_shear** magnetic shear taken 6 grid points into
            the m-sheath / m-sphere
          - **pp_max** max pp
          - **pp_max_xloc** location of max pp
          - **epar_max** max e parallel
          - **epar_max_xloc** location of max e parallel
          - **paraboloid** numpy.recarray of paraboloid fit. The
            parameters are given in the 0th element, and
            the 1st element contains the 1-sigma values for the fit

    Raises:
        RuntimeError: if using MHD crds instead of GSE crds
    """
    if not cache_dir:
        cache_dir = pp.find_info("_viscid_dirname", "./")
    run_name = pp.find_info("run", None)
    if cache and run_name:
        t = pp.time
        mp_fname = "{0}/{1}.mpause.{2:06.0f}".format(cache_dir, run_name, t)
    else:
        mp_fname = ""

    try:
        force = cache.strip().lower() == "force"
    except AttributeError:
        force = False

    try:
        if force or not mp_fname or not os.path.isfile(mp_fname + ".xdmf"):
            raise IOError()

        mp_info = {}
        with viscid.load_file(mp_fname + ".xdmf") as dat:
            fld_names = [
                "mp_xloc", "mp_sheath_edge", "mp_sphere_edge", "mp_width",
                "mp_shear", "pp_max", "pp_max_xloc", "epar_max",
                "epar_max_xloc"
            ]
            for fld_name in fld_names:
                mp_info[fld_name] = dat[fld_name]["x=0"]

    except (IOError, KeyError):
        mp_info = {}

        crd_system = viscid.as_crd_system(b, None)
        if crd_system != 'gse':
            raise RuntimeError("get_mp_info can't work in MHD crds, "
                               "switch to GSE please")

        if j.nr_patches == 1:
            pp_block = pp[slc]
            b_block = b[slc]
            j_block = j[slc]
            if e is None:
                e_block = np.nan * viscid.empty_like(j_block)
            else:
                e_block = e[slc]
        else:
            # interpolate an amr grid so we can proceed
            obnd = pp.get_slice_extent(slc)
            dx = np.min(pp.skeleton.L / pp.skeleton.n, axis=0)
            nx = np.ceil((obnd[1] - obnd[0]) / dx)
            vol = viscid.seed.Volume(obnd[0], obnd[1], nx, cache=True)
            pp_block = vol.wrap_field(viscid.interp_trilin(pp, vol),
                                      name="P").as_cell_centered()
            b_block = vol.wrap_field(viscid.interp_trilin(b, vol),
                                     name="B").as_cell_centered()
            j_block = vol.wrap_field(viscid.interp_trilin(j, vol),
                                     name="J").as_cell_centered()
            if e is None:
                e_block = np.nan * viscid.empty_like(j_block)
            else:
                e_block = vol.wrap_field(viscid.interp_trilin(e, vol),
                                         name="E").as_cell_centered()

        # jsq = viscid.dot(j_block, j_block)
        bsq = viscid.dot(b_block, b_block)

        # extract ndarrays and mask out bow shock / current free regions
        maskval = 1e-4
        jy_mask = j_block['y'].data < maskval
        masked_bsq = 1.0 * bsq
        masked_bsq.data = np.ma.masked_where(jy_mask, bsq)

        xcc = j_block.get_crd_cc('x')
        nx = len(xcc)

        mp_xloc = np.argmin(masked_bsq, axis=0)  # indices
        mp_xloc = mp_xloc.wrap(xcc[mp_xloc.data])  # location

        pp_max = np.max(pp_block, axis=0)
        pp_max_xloc = np.argmax(pp_block, axis=0)  # indices
        pp_max_xloc = pp_max_xloc.wrap(xcc[pp_max_xloc.data])  # location

        epar = viscid.project(e_block, b_block)
        epar_max = np.max(epar, axis=0)
        epar_max_xloc = np.argmax(epar, axis=0)  # indices
        epar_max_xloc = pp_max_xloc.wrap(xcc[epar_max_xloc.data])  # location

        _ret = find_mp_edges(j_block, 0.1, 0.1, maskval=maskval)
        sheath_edge, msphere_edge, mp_width, sheath_ind, sphere_ind = _ret

        # extract b and b**2 at sheath + 6 grid points and sphere - 6 grid pointns
        # clipping cases where things go outside the block. clipped ponints are
        # set to nan
        step = 6
        # extract b
        if b_block.layout == "flat":
            comp_axis = 0
            ic, _, iy, iz = np.ix_(*[np.arange(si) for si in b_block.shape])
            ix = np.clip(sheath_ind + step, 0, nx - 1)
            b_sheath = b_block.data[ic, ix, iy, iz]
            ix = np.clip(sheath_ind - step, 0, nx - 1)
            b_sphere = b_block.data[ic, ix, iy, iz]
        elif b_block.layout == "interlaced":
            comp_axis = 3
            _, iy, iz = np.ix_(*[np.arange(si) for si in b_block.shape[:-1]])
            ix = np.clip(sheath_ind + step, 0, nx - 1)
            b_sheath = b_block.data[ix, iy, iz]
            ix = np.clip(sheath_ind - step, 0, nx - 1)
            b_sphere = b_block.data[ix, iy, iz]
        # extract b**2
        bmag_sheath = np.sqrt(np.sum(b_sheath**2, axis=comp_axis))
        bmag_sphere = np.sqrt(np.sum(b_sphere**2, axis=comp_axis))
        costheta = (np.sum(b_sheath * b_sphere, axis=comp_axis) /
                    (bmag_sphere * bmag_sheath))
        costheta = np.where(
            (sheath_ind + step < nx) & (sphere_ind - step >= 0), costheta,
            np.nan)
        mp_shear = mp_width.wrap((180.0 / np.pi) * np.arccos(costheta))

        # don't bother with pretty name since it's not written to file
        # plane_crds = b_block.crds.slice_keep('x=0', cc=True)
        # fld_kwargs = dict(center="Cell", time=b.time)
        mp_width.name = "mp_width"
        mp_xloc.name = "mp_xloc"
        sheath_edge.name = "mp_sheath_edge"
        msphere_edge.name = "mp_sphere_edge"
        mp_shear.name = "mp_shear"
        pp_max.name = "pp_max"
        pp_max_xloc.name = "pp_max_xloc"
        epar_max.name = "epar_max"
        epar_max_xloc.name = "epar_max_xloc"

        mp_info = {}
        mp_info["mp_width"] = mp_width
        mp_info["mp_xloc"] = mp_xloc
        mp_info["mp_sheath_edge"] = sheath_edge
        mp_info["mp_sphere_edge"] = msphere_edge
        mp_info["mp_shear"] = mp_shear
        mp_info["pp_max"] = pp_max
        mp_info["pp_max_xloc"] = pp_max_xloc
        mp_info["epar_max"] = epar_max
        mp_info["epar_max_xloc"] = epar_max_xloc

        # cache new fields to disk
        if mp_fname:
            viscid.save_fields(mp_fname + ".h5", mp_info.values())

    try:
        _paraboloid_params = fit_paraboloid(mp_info[fit], p0=fit_p0)
        mp_info["paraboloid"] = _paraboloid_params
    except ImportError as _exception:
        try:
            msg = _exception.message
        except AttributeError:
            msg = _exception.msg
        mp_info["paraboloid"] = viscid.DeferredImportError(msg)

    mp_info["mp_width"].pretty_name = "Magnetopause Width"
    mp_info["mp_xloc"].pretty_name = "Magnetopause $X_{gse}$ Location"
    mp_info["mp_sheath_edge"].pretty_name = "Magnetosheath Edge"
    mp_info["mp_sphere_edge"].pretty_name = "Magnetosphere Edge"
    mp_info["mp_shear"].pretty_name = "Magnetic Shear"
    mp_info["pp_max"].pretty_name = "Max Pressure"
    mp_info["pp_max_xloc"].pretty_name = "Max Pressure Location"
    mp_info["epar_max"].pretty_name = "Max E Parallel"
    mp_info["epar_max_xloc"].pretty_name = "Max E Parallel Location"

    return mp_info