CRDSGrismConf

class grizli.grismconf.CRDSGrismConf(file='references/jwst/nircam/jwst_nircam_specwcs_0136.asdf', get_photom=True, internal_sensitivity_curve=True, context=None, **kwargs)

Bases: object

Helper object to replicate grismconf config files from CRDS products

Parameters

filestr

Filename of a CRDS specwcs file

get_photombool

Get sensitivity curves from the photom reference file

contextstr

CRDS context to use for JWST reference files, parsed through get_current_context.

Attributes

dmjwst.datamodels.NIRCAMGrismModel

DataModel of the specwcs reference

metadict

Metadata dictionary from jwst.datamodels.NIRCAMGrismModel.meta.instance

dm_orderslist

List of orders from dm.orders

crds_parametersdict

CRDS parameter dictionary from dm.get_crds_parameters()

dispx, dispy, displlist, list, list

Parameter polynomials from the reference datamodel

SENS_datadict

Sensitivity data like {order: (wave_microns, sensitity)}

Attributes Summary

filter
filter_grism	Return combination of blocking filter + dispering element
grism	Return filter for NIRISS, pupil for NIRCAM, filter for HST
instrument
instrument_setup	Return combination of blocking filter, dispering element, (module)
module
orders	String version of orders, like '+1', '+2', '0', '-1'
pupil

Methods Summary

DDISPL(order, x0, y0, t[, dt])	Replicate grismconf.DDISPL
DDISPX(order, x0, y0, t[, dt])	Replicate grismconf.DDISPX
DDISPY(order, x0, y0, t[, dt])	Replicate grismconf.DDISPY
DISPL(order, x0, y0, t)	Replicate grismconf.DISPL
DISPX(order, x0, y0, t)	Replicate grismconf.DISPX
DISPXY(order, x0, y0, t)	Replicate grismconf.DISPXY (combination of DISPX, DISPY)
DISPY(order, x0, y0, t)	Replicate grismconf.DISPY
INVDISPL(order, x0, y0, dx[, t0, from_root])	Inverse DISPL
INVDISPX(order, x0, y0, dx[, t0, from_root])	Inverse DISPX
INVDISPY(order, x0, y0, dx[, t0, from_root])	Inverse DISPY
get_photom([xyt, date, photom_file, ...])	Load photom reference from CRDS and scale to grismconf / aXe convention
initialize_from_datamodel()	Initialize polynomial objects from a jwst.datamodel
load_new_sensitivity_curve([verbose])	Replace +1 NIRCam sensitivity curves with Nov 10, 2023 updates

Attributes Documentation

filter

filter_grism

Return combination of blocking filter + dispering element

grism

Return filter for NIRISS, pupil for NIRCAM, filter for HST

instrument

instrument_setup

Return combination of blocking filter, dispering element, (module)

module

orders

String version of orders, like ‘+1’, ‘+2’, ‘0’, ‘-1’

pupil

Methods Documentation

DDISPL(order, x0, y0, t, dt=0.01)

Replicate grismconf.DDISPL

Evaluates the derivative of the dispersion polynomial from the reference datamodel for a given order along the dispersion axis.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

dtfloat

Delta t for finite difference.

Returns

ddisplfloat or array-like

Value(s) of the derivative of the dispersion polynomial.

DDISPX(order, x0, y0, t, dt=0.01)

Replicate grismconf.DDISPX

Evaluates the derivative of the dispersion polynomial from the reference datamodel for a given order in x direction.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

dtfloat

Delta t for finite difference.

Returns

ddispxfloat or array-like

Derivative of the x pixel along the trace

DDISPY(order, x0, y0, t, dt=0.01)

Replicate grismconf.DDISPY

Evaluates the derivative of the dispersion polynomial from the reference datamodel for a given order in y direction.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

dtfloat

Delta t for finite difference.

Returns

ddispyfloat or array-like

Value(s) of the derivative of the y pixel along the trace.

DISPL(order, x0, y0, t)

Replicate grismconf.DISPL

Evaluates dispersion polynomials from the reference datamodel for a given order along the dispersion axis.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

Returns

displfloat or array-like

Wavelength value(s) along the trace, microns

DISPX(order, x0, y0, t)

Replicate grismconf.DISPX

Evaluates dispersion polynomial from the reference datamodel for a given order in x direction.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

Returns

dispxfloat or array-like

x pixel along the trace

DISPXY(order, x0, y0, t)

Replicate grismconf.DISPXY (combination of DISPX, DISPY)

Evaluates dispersion polynomials from the reference datamodel for a given order in x and y directions.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

Returns

dispx, dispyfloat or array-like, float or array-like

x and y pixels along the trace

DISPY(order, x0, y0, t)

Replicate grismconf.DISPY

Evaluates dispersion polynomial from the reference datamodel for a given order in y direction.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

tfloat or array-like

Evaluation point(s) of the independent trace variable

Returns

dispyfloat or array-like

y pixel along the trace

INVDISPL(order, x0, y0, dx, t0=array([-1., -0.97637795, -0.95275591, -0.92913386, -0.90551181, -0.88188976, -0.85826772, -0.83464567, -0.81102362, -0.78740157, -0.76377953, -0.74015748, -0.71653543, -0.69291339, -0.66929134, -0.64566929, -0.62204724, -0.5984252, -0.57480315, -0.5511811, -0.52755906, -0.50393701, -0.48031496, -0.45669291, -0.43307087, -0.40944882, -0.38582677, -0.36220472, -0.33858268, -0.31496063, -0.29133858, -0.26771654, -0.24409449, -0.22047244, -0.19685039, -0.17322835, -0.1496063, -0.12598425, -0.1023622, -0.07874016, -0.05511811, -0.03149606, -0.00787402, 0.01574803, 0.03937008, 0.06299213, 0.08661417, 0.11023622, 0.13385827, 0.15748031, 0.18110236, 0.20472441, 0.22834646, 0.2519685, 0.27559055, 0.2992126, 0.32283465, 0.34645669, 0.37007874, 0.39370079, 0.41732283, 0.44094488, 0.46456693, 0.48818898, 0.51181102, 0.53543307, 0.55905512, 0.58267717, 0.60629921, 0.62992126, 0.65354331, 0.67716535, 0.7007874, 0.72440945, 0.7480315, 0.77165354, 0.79527559, 0.81889764, 0.84251969, 0.86614173, 0.88976378, 0.91338583, 0.93700787, 0.96062992, 0.98425197, 1.00787402, 1.03149606, 1.05511811, 1.07874016, 1.1023622, 1.12598425, 1.1496063, 1.17322835, 1.19685039, 1.22047244, 1.24409449, 1.26771654, 1.29133858, 1.31496063, 1.33858268, 1.36220472, 1.38582677, 1.40944882, 1.43307087, 1.45669291, 1.48031496, 1.50393701, 1.52755906, 1.5511811, 1.57480315, 1.5984252, 1.62204724, 1.64566929, 1.66929134, 1.69291339, 1.71653543, 1.74015748, 1.76377953, 1.78740157, 1.81102362, 1.83464567, 1.85826772, 1.88188976, 1.90551181, 1.92913386, 1.95275591, 1.97637795, 2.]), from_root=False)

Inverse DISPL

Evaluates the inverse of the wavelength polynomial from the reference datamodel for a given order, reference position, and dispersed position along the dispersion axis.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float

Detector coordinates in the direct image

dxfloat, array-like

Wavelengths where to interpolate the trace

t0array-like

1D evaluation grid for the inverse interpolation.

from_rootbool

Use polynomial roots to find the inverse.

Returns

tlike dx

Independent variable value along the trace.

INVDISPX(order, x0, y0, dx, t0=array([-1., -0.97637795, -0.95275591, -0.92913386, -0.90551181, -0.88188976, -0.85826772, -0.83464567, -0.81102362, -0.78740157, -0.76377953, -0.74015748, -0.71653543, -0.69291339, -0.66929134, -0.64566929, -0.62204724, -0.5984252, -0.57480315, -0.5511811, -0.52755906, -0.50393701, -0.48031496, -0.45669291, -0.43307087, -0.40944882, -0.38582677, -0.36220472, -0.33858268, -0.31496063, -0.29133858, -0.26771654, -0.24409449, -0.22047244, -0.19685039, -0.17322835, -0.1496063, -0.12598425, -0.1023622, -0.07874016, -0.05511811, -0.03149606, -0.00787402, 0.01574803, 0.03937008, 0.06299213, 0.08661417, 0.11023622, 0.13385827, 0.15748031, 0.18110236, 0.20472441, 0.22834646, 0.2519685, 0.27559055, 0.2992126, 0.32283465, 0.34645669, 0.37007874, 0.39370079, 0.41732283, 0.44094488, 0.46456693, 0.48818898, 0.51181102, 0.53543307, 0.55905512, 0.58267717, 0.60629921, 0.62992126, 0.65354331, 0.67716535, 0.7007874, 0.72440945, 0.7480315, 0.77165354, 0.79527559, 0.81889764, 0.84251969, 0.86614173, 0.88976378, 0.91338583, 0.93700787, 0.96062992, 0.98425197, 1.00787402, 1.03149606, 1.05511811, 1.07874016, 1.1023622, 1.12598425, 1.1496063, 1.17322835, 1.19685039, 1.22047244, 1.24409449, 1.26771654, 1.29133858, 1.31496063, 1.33858268, 1.36220472, 1.38582677, 1.40944882, 1.43307087, 1.45669291, 1.48031496, 1.50393701, 1.52755906, 1.5511811, 1.57480315, 1.5984252, 1.62204724, 1.64566929, 1.66929134, 1.69291339, 1.71653543, 1.74015748, 1.76377953, 1.78740157, 1.81102362, 1.83464567, 1.85826772, 1.88188976, 1.90551181, 1.92913386, 1.95275591, 1.97637795, 2.]), from_root=False)

Inverse DISPX

Evaluates the inverse of the dispersion polynomial from the reference datamodel for a given order along the x-axis.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

dxfloat

X coordinate where to interpolate the trace

t0array-like

1D evaluation grid for the inverse.

from_rootbool

Use polynomial roots to find the inverse.

Returns

tfloat

Independent variable value along the trace.

INVDISPY(order, x0, y0, dx, t0=array([-1., -0.97637795, -0.95275591, -0.92913386, -0.90551181, -0.88188976, -0.85826772, -0.83464567, -0.81102362, -0.78740157, -0.76377953, -0.74015748, -0.71653543, -0.69291339, -0.66929134, -0.64566929, -0.62204724, -0.5984252, -0.57480315, -0.5511811, -0.52755906, -0.50393701, -0.48031496, -0.45669291, -0.43307087, -0.40944882, -0.38582677, -0.36220472, -0.33858268, -0.31496063, -0.29133858, -0.26771654, -0.24409449, -0.22047244, -0.19685039, -0.17322835, -0.1496063, -0.12598425, -0.1023622, -0.07874016, -0.05511811, -0.03149606, -0.00787402, 0.01574803, 0.03937008, 0.06299213, 0.08661417, 0.11023622, 0.13385827, 0.15748031, 0.18110236, 0.20472441, 0.22834646, 0.2519685, 0.27559055, 0.2992126, 0.32283465, 0.34645669, 0.37007874, 0.39370079, 0.41732283, 0.44094488, 0.46456693, 0.48818898, 0.51181102, 0.53543307, 0.55905512, 0.58267717, 0.60629921, 0.62992126, 0.65354331, 0.67716535, 0.7007874, 0.72440945, 0.7480315, 0.77165354, 0.79527559, 0.81889764, 0.84251969, 0.86614173, 0.88976378, 0.91338583, 0.93700787, 0.96062992, 0.98425197, 1.00787402, 1.03149606, 1.05511811, 1.07874016, 1.1023622, 1.12598425, 1.1496063, 1.17322835, 1.19685039, 1.22047244, 1.24409449, 1.26771654, 1.29133858, 1.31496063, 1.33858268, 1.36220472, 1.38582677, 1.40944882, 1.43307087, 1.45669291, 1.48031496, 1.50393701, 1.52755906, 1.5511811, 1.57480315, 1.5984252, 1.62204724, 1.64566929, 1.66929134, 1.69291339, 1.71653543, 1.74015748, 1.76377953, 1.78740157, 1.81102362, 1.83464567, 1.85826772, 1.88188976, 1.90551181, 1.92913386, 1.95275591, 1.97637795, 2.]), from_root=False)

Inverse DISPY

Evaluates the inverse of the dispersion polynomial from the reference datamodel for a given order along the y-axis.

Parameters

orderstr

Order name like ‘+1’, ‘0’, ‘-1’

x0, y0float or array-like

Detector coordinates in the direct image

dxfloat, array-like

Y coordinate where to interpolate the trace

t0array-like

1D evaluation grid for the inverse interpolation.

from_rootbool

Use polynomial roots to find the inverse.

Returns

tlike dx

Independent variable value along the trace.

get_photom(xyt=(1024, 1024, 0.5), date=None, photom_file=None, verbose=False, context=None, **kwargs)

Load photom reference from CRDS and scale to grismconf / aXe convention

Parameters

xyt(float, float, float)

Coordinate (x0, y0, t) where to evaluate the grism dispersion DLDP

datestr, None

Observation date in ISO format, e.g., ‘2023-01-01 00:00:00’. If not specified, defaults to “now”

photom_filestr

Explicit filename of a CRDS photom reference file

verbosebool

Print status message

Returns

SENS_datadict

Dict of {'order': (wave, sens)}. Also sets SENS_data, SENS_dldp and SENS_xyt attributes.

initialize_from_datamodel()

Initialize polynomial objects from a jwst.datamodel

load_new_sensitivity_curve(verbose=True, **kwargs)

Replace +1 NIRCam sensitivity curves with Nov 10, 2023 updates

Files generated with the calibration data of P330E from program CAL-1538 (K. Gordon)

Download the FITS files from the link below and put them in $GRIZLI/CONF/GRISM_NIRCAM/.

https://s3.amazonaws.com/grizli-v2/JWSTGrism/NircamSensitivity/index.html

Parameters

verbosebool

Print messages to the terminal.