Diagnostics

diagnostics

This module provides a class to simplify computing of diagnostics typically encountered in geodynamical simulations. Users instantiate the class by providing relevant parameters and call individual class methods to compute associated diagnostics.

FunctionContext(quad_degree, func)

Hold objects that can be derived from a Firedrake Function.

This class gathers references to objects that can be pulled from a Firedrake Function object and calculates quantities based on those objects that will remain constant for the duration of a simulation. The set of objects/quantities stored are: mesh, function_space, dx and ds measures, the FacetNormal of the mesh (as the .normal attribute) and the volume of the domain.

Typical usage example:

function_contexts[F] = FunctionContext(quad_degree, F)

Parameters:

Name	Type	Description	Default
quad_degree	int	Quadrature degree to use when approximating integrands involving	required
func	Function	Function	required

Source code in g-adopt/gadopt/diagnostics.py

def __init__(self, quad_degree: int, func: fd.Function):
    self._function = func
    self._quad_degree = quad_degree

function cached property

The function associated with the instance

mesh cached property

The mesh on which the function has been defined

function_space cached property

The function space on which the function has been defined

dx cached property

The volume integration measure defined by the mesh and quad_degree passed when creating this instance

ds cached property

The surface integration measure defined by the mesh and quad_degree passed when creating this instance

normal cached property

The facet normal of the mesh belonging to this instance

volume cached property

The volume of the mesh belonging to this instance

boundary_ids cached property

The boundary IDs of the mesh associated with this instance

surface_area cached property

The surface area of all surfaces of the mesh belonging to this instance

get_boundary_nodes(boundary_id) cached

Return the list of nodes on the boundary owned by this process

Creates a DirichletBC object, then uses the .nodes attribute for that object to provide a list of indices that reside on the boundary of the domain of the function associated with this FunctionContext instance. The dof_dset.size parameter of the FunctionSpace is used to exclude nodes in the halo region of the domain.

Parameters:

Name	Type	Description	Default
boundary_id	int	Integer ID of the domain boundary	required

Returns:

Type	Description
list[int]	List of integers corresponding to nodes on the boundary identified by
list[int]	boundary_id

Source code in g-adopt/gadopt/diagnostics.py

@cache
def get_boundary_nodes(self, boundary_id: int) -> list[int]:
    """Return the list of nodes on the boundary owned by this process

    Creates a `DirichletBC` object, then uses the `.nodes` attribute for that
    object to provide a list of indices that reside on the boundary of the domain
    of the function associated with this `FunctionContext` instance. The
    `dof_dset.size` parameter of the `FunctionSpace` is used to exclude nodes in
    the halo region of the domain.

    Args:
        boundary_id: Integer ID of the domain boundary

    Returns:
        List of integers corresponding to nodes on the boundary identified by
        `boundary_id`
    """
    bc = fd.DirichletBC(self.function_space, 0, boundary_id)
    return [n for n in bc.nodes if n < self.function_space.dof_dset.size]

BaseDiagnostics(quad_degree, **funcs)

A base class containing useful operations for diagnostics

For each Firedrake function passed as a keyword argument in the funcs parameter, store that function as an attribute of the class accessible by its keyword, e.g.:

diag = BaseDiagnostics(quad_degree, z=z)

sets the Firedrake function z to the diag.z parameter. If the function is a MixedFunction, the subfunctions will be accessible by an index, e.g.:

diag = BaseDiagnostics(quad_degree, z=z)

sets the subfunctions of z to diag.z_0, diag.z_1, etc. A FunctionContext is created for each function. These attributes are accessed by the diag._function_contexts dict.

This class is intended to be subclassed by domain-specific diagnostic classes

Parameters:

Name	Type	Description	Default
quad_degree	int	Quadrature degree to use when approximating integrands managed by	required
**funcs	Function | None	Firedrake functions to associate with this instance	{}

Initialise a BaseDiagnostics object.

Sets the quad_degree for measures used by this object and passes the remaining keyword arguments through to register_functions.

Source code in g-adopt/gadopt/diagnostics.py

def __init__(self, quad_degree: int, **funcs: fd.Function | None):
    """Initialise a BaseDiagnostics object.

    Sets the `quad_degree` for measures used by this object and passes the
    remaining keyword arguments through to `register_functions`.
    """
    self._function_contexts: dict[fd.Function | Operator, FunctionContext] = {}
    self._quad_degree = quad_degree
    self._mixed_functions: list[str] = []
    self.register_functions(**funcs)

register_functions(*, quad_degree=None, **funcs)

Register a function with this BaseDiagnostics object.

Creates a FunctionContext object for each function passed in as a keyword argument. Also creates an attribute on the instance to access the input function named for the key of the keyword argument. i.e:

> diag.register_functions(self, F=F)
> type(diag.F)
<class 'firedrake.function.Function'>

If an input function is set to None, the attribute will still be created but set to 0.0. If a mixed function is entered, each subfunction will have a FunctionContext object associated with it, and the attribute will be named with an additional number to denote the index of the subfunction i.e.:

```

diag.register_functions(self, F) type(diag.F) AttributeError: 'Requested 'F', which lives on a mixed space. Instead, access subfunctions via F_0, F_1, ..." type(diag.F_0) type(diag.F_1)

Args: quad_degree (optional): The quadrature degree for the measures to be used by this function. If None, the quad_degree passed at object instantiation time is used. Defaults to None. **funcs: key-value pairs of Firedrake functions to associate with this instance

Source code in g-adopt/gadopt/diagnostics.py

def register_functions(
    self, *, quad_degree: int | None = None, **funcs: fd.Function | None
):
    """Register a function with this BaseDiagnostics object.

    Creates a `FunctionContext` object for each function passed in as a keyword
    argument. Also creates an attribute on the instance to access the input function
    named for the key of the keyword argument. i.e:

    ```
    > diag.register_functions(self, F=F)
    > type(diag.F)
    <class 'firedrake.function.Function'>
    ```
    If an input function is set to `None`, the attribute will still be created
    but set to 0.0. If a mixed function is entered, each subfunction will have
    a `FunctionContext` object associated with it, and the attribute will be named
    with an additional number to denote the index of the subfunction i.e.:

    ```
    > diag.register_functions(self, F)
    > type(diag.F)
    AttributeError: 'Requested 'F', which lives on a mixed space. Instead, access subfunctions via F_0, F_1, ..."
    > type(diag.F_0)
    <class 'firedrake.function.Function'>
    > type(diag.F_1)
    <class 'firedrake.function.Function'>

    Args:
        quad_degree (optional): The quadrature degree for the measures to be used
        by this function. If `None`, the `quad_degree` passed at object
        instantiation time is used. Defaults to None.
        **funcs: key-value pairs of Firedrake functions to associate with this
        instance
    """
    if quad_degree is None:
        quad_degree = self._quad_degree
    for name, func in funcs.items():
        # Handle optional functions in diagnostics
        if func is None:
            setattr(self, name, 0.0)
            continue
        if len(func.subfunctions) == 1:
            if not hasattr(self, name):
                setattr(self, name, func)
                self._init_single_func(quad_degree, func)
        else:
            self._mixed_functions.append(name)
            for i, subfunc in enumerate(func.subfunctions):
                if not hasattr(self, f"{name}_{i}"):
                    setattr(self, f"{name}_{i}", subfunc)
                    self._init_single_func(quad_degree, subfunc)

get_upward_component(f) cached

Get the upward (against gravity) component of a function.

Returns a UFL expression for the upward component of a function. Uses the G-ADOPT vertical_component function and caches the result such that the UFL expression only needs to be constructed once per run.

Parameters:

Name	Type	Description	Default
f	Function	Function	required

Returns:

Type	Description
Operator	UFL expression for the vertical component of f

Source code in g-adopt/gadopt/diagnostics.py

@cache
def get_upward_component(self, f: fd.Function) -> Operator:
    """Get the upward (against gravity) component of a function.

    Returns a UFL expression for the upward component of a function. Uses the
    G-ADOPT `vertical_component` function and caches the result such that the
    UFL expression only needs to be constructed once per run.

    Args:
        f: Function

    Returns:
        UFL expression for the vertical component of `f`
    """
    self._check_present(f)
    self._check_dim_valid(f)  # Can't take upward component of a scalar function
    return vertical_component(f)

min(func_or_op, boundary_id=None, dim=None)

Calculate the minimum value of a function. See _minmax docstring for more information.

Source code in g-adopt/gadopt/diagnostics.py

def min(
    self,
    func_or_op: fd.Function | Operator,
    boundary_id: int | None = None,
    dim: int | None = None,
) -> float:
    """
    Calculate the minimum value of a function. See `_minmax`
    docstring for more information.
    """
    return self._minmax(func_or_op, boundary_id, dim)[0]

max(func_or_op, boundary_id=None, dim=None)

Calculate the maximum value of a function See _minmax docstring for more information.

Source code in g-adopt/gadopt/diagnostics.py

def max(
    self,
    func_or_op: fd.Function | Operator,
    boundary_id: int | None = None,
    dim: int | None = None,
) -> float:
    """
    Calculate the maximum value of a function See `_minmax`
    docstring for more information.
    """
    return -self._minmax(func_or_op, boundary_id, dim)[1]

integral(f, boundary_id=None)

Calculate the integral of a function over the domain associated with it

Parameters:

Name	Type	Description	Default
f	Function	Function.	required
boundary_id	optional	Boundary ID. If not provided or set to None	None

Returns:

Type	Description
float	Result of integration

Source code in g-adopt/gadopt/diagnostics.py

def integral(self, f: fd.Function, boundary_id: int | str | None = None) -> float:
    """Calculate the integral of a function over the domain associated with it

    Args:
        f: Function.
        boundary_id (optional): Boundary ID. If not provided or set to `None`
        will integrate across entire domain. If provided, will integrate along
        the specified boundary only. Defaults to None.

    Returns:
        Result of integration
    """
    self._check_present(f)
    measure = self._get_measure(f, boundary_id)
    return fd.assemble(f * measure)

l1norm(f, boundary_id=None)

Calculate the L1norm of a function over the domain associated with it

Parameters:

Name	Type	Description	Default
f	Function	Function.	required
boundary_id	optional	Boundary ID .If not provided or set to None,	None

Returns:

Name	Type	Description
float	float	L1 norm

Source code in g-adopt/gadopt/diagnostics.py

def l1norm(self, f: fd.Function, boundary_id: int | str | None = None) -> float:
    """Calculate the L1norm of a function over the domain associated with it

    Args:
        f: Function.
        boundary_id (optional): Boundary ID .If not provided or set to `None`,
        will integrate across entire domain. If provided, will integrate along
        the specified boundary only. Defaults to None.

    Returns:
        float: L1 norm
    """
    self._check_present(f)
    measure = self._get_measure(f, boundary_id)
    return fd.assemble(abs(f) * measure)

l2norm(f, boundary_id=None)

Calculate the L2norm of a function over the domain associated with it

Parameters:

Name	Type	Description	Default
f	Function	Function.	required
boundary_id	optional	Boundary ID. If not provided or set to None,	None

Returns:

Name	Type	Description
float	float	L2 norm

Source code in g-adopt/gadopt/diagnostics.py

def l2norm(self, f: fd.Function, boundary_id: int | str | None = None) -> float:
    """Calculate the L2norm of a function over the domain associated with it

    Args:
        f: Function.
        boundary_id (optional): Boundary ID. If not provided or set to `None`,
        will integrate across entire domain. If provided, will integrate along
        the specified boundary only. Defaults to None.

    Returns:
        float: L2 norm
    """
    self._check_present(f)
    measure = self._get_measure(f, boundary_id)
    return fd.sqrt(fd.assemble(fd.dot(f, f) * measure))

rms(f)

Calculate the RMS of a function over the domain associated with it

For the purposes of this function, RMS is defined as L2norm/volume

Parameters:

Name	Type	Description	Default
f	Function	Function.	required
boundary_id	optional	Boundary ID. If not provided or set to None,	required

Returns:

Name	Type	Description
float	float	RMS

Source code in g-adopt/gadopt/diagnostics.py

def rms(self, f: fd.Function) -> float:
    """Calculate the RMS of a function over the domain associated with it

    For the purposes of this function, RMS is defined as L2norm/volume

    Args:
        f: Function.
        boundary_id (optional): Boundary ID. If not provided or set to `None`,
        will integrate across entire domain. If provided, will integrate along
        the specified boundary only. Defaults to None.

    Returns:
        float: RMS
    """
    return self.l2norm(f) / fd.sqrt(self._function_contexts[f].volume)

GeodynamicalDiagnostics(z, T=None, /, bottom_id=None, top_id=None, *, quad_degree=4)

Bases: BaseDiagnostics

Typical simulation diagnostics used in geodynamical simulations.

Parameters:

Name	Type	Description	Default
z	Function	Firedrake function for mixed Stokes function space (velocity, pressure)	required
T	Function | None	Firedrake function for temperature	None
bottom_id	int | str | None	Bottom boundary identifier	None
top_id	int | str | None	Top boundary identifier	None
quad_degree	int	Degree of polynomial quadrature approximation	4

Note

All diagnostics are returned as floats.

Methods:

Name	Description
u_rms	Root-mean-square velocity
u_rms_top	Root-mean-square velocity along the top boundary
Nu_top	Nusselt number at the top boundary
Nu_bottom	Nusselt number at the bottom boundary
T_avg	Average temperature in the domain
T_min	Minimum temperature in domain
T_max	Maximum temperature in domain
ux_max	Maximum velocity (first component, optionally over a given boundary)

Source code in g-adopt/gadopt/diagnostics.py

def __init__(
    self,
    z: fd.Function,
    T: fd.Function | None = None,
    /,
    bottom_id: int | str | None = None,
    top_id: int | str | None = None,
    *,
    quad_degree: int = 4,
):
    u, p = z.subfunctions[:2]
    super().__init__(quad_degree, u=u, p=p, T=T)

    if bottom_id:
        self.bottom_id = bottom_id
        self.ds_b = self._function_contexts[self.u].ds(bottom_id)
    if top_id:
        self.top_id = top_id
        self.ds_t = self._function_contexts[self.u].ds(top_id)

GIADiagnostics(u, /, bottom_id=None, top_id=None, *, quad_degree=4)

Bases: BaseDiagnostics

Typical simulation diagnostics used in glacial isostatic adjustment simulations.

Parameters:

Name	Type	Description	Default
d		Firedrake function for displacement	required
bottom_id	int | str | None	Bottom boundary identifier	None
top_id	int | str | None	Top boundary identifier	None
quad_degree	int	Degree of polynomial quadrature approximation	4

Note

All diagnostics are returned as floats.

Methods:

Name	Description
u_rms	Root-mean-square displacement
u_rms_top	Root-mean-square displacement along the top boundary
ux_max	Maximum displacement (first component, optionally over a given boundary)
uv_min	Minimum vertical displacement, optionally over a given boundary
uv_max	Maximum vertical displacement, optionally over a given boundary
l2_norm_top	L2 norm of displacement on top surface
l1_norm_top	L1 norm of displacement on top surface
integrated_displacement	integral of displacement on top surface

Source code in g-adopt/gadopt/diagnostics.py

def __init__(
    self,
    u: fd.Function,
    /,
    bottom_id: int | str | None = None,
    top_id: int | str | None = None,
    *,
    quad_degree: int = 4,
):
    super().__init__(quad_degree, u=u)

    if bottom_id:
        self.ds_b = self._function_contexts[self.u].ds(bottom_id)
    if top_id:
        self.ds_t = self._function_contexts[self.u].ds(top_id)
        self.top_id = top_id

uv_min(boundary_id=None)

Minimum value of vertical component of velocity/displacement

Source code in g-adopt/gadopt/diagnostics.py

def uv_min(self, boundary_id: int | None = None) -> float:
    "Minimum value of vertical component of velocity/displacement"
    return self.min(self.get_upward_component(self.u), boundary_id)

uv_max(boundary_id=None)

Maximum value of vertical component of velocity/displacement

Source code in g-adopt/gadopt/diagnostics.py

def uv_max(self, boundary_id: int | None = None) -> float:
    "Maximum value of vertical component of velocity/displacement"
    return self.max(self.get_upward_component(self.u), boundary_id)