JumpStep
- class jwst.jump.JumpStep(name=None, parent=None, config_file=None, _validate_kwds=True, **kws)[source]
Bases:
JwstStepStep class to perform just detection using two point difference.
Create a
Stepinstance.- Parameters:
name (str, optional) – The name of the Step instance. Used in logging messages and in cache filenames. If not provided, one will be generated based on the class name.
parent (Step instance, optional) – The parent step of this step. Used to determine a fully-qualified name for this step, and to determine the mode in which to run this step.
config_file (str or pathlib.Path, optional) – The path to the config file that this step was initialized with. Use to determine relative path names of other config files.
**kws (dict) – Additional parameters to set. These will be set as member variables on the new Step instance.
Attributes Summary
Methods Summary
process(step_input)Step method to execute step computations.
Attributes Documentation
- class_alias = 'jump'
- reference_file_types: ClassVar = ['gain', 'readnoise']
- spec
rejection_threshold = float(default=4.0,min=0) # CR sigma rejection threshold three_group_rejection_threshold = float(default=6.0,min=0) # CR sigma rejection threshold four_group_rejection_threshold = float(default=5.0,min=0) # CR sigma rejection threshold maximum_cores = string(default='1') # cores for multiprocessing. Can be an integer, 'half', 'quarter', or 'all' flag_4_neighbors = boolean(default=True) # flag the four perpendicular neighbors of each CR max_jump_to_flag_neighbors = float(default=1000) # maximum jump sigma that will trigger neighbor flagging min_jump_to_flag_neighbors = float(default=10) # minimum jump sigma that will trigger neighbor flagging after_jump_flag_dn1 = float(default=0) # 1st flag groups after jump above DN threshold after_jump_flag_time1 = float(default=0) # 1st flag groups after jump groups within specified time after_jump_flag_dn2 = float(default=0) # 2nd flag groups after jump above DN threshold after_jump_flag_time2 = float(default=0) # 2nd flag groups after jump groups within specified time expand_large_events = boolean(default=False) # Turns on Snowball detector for NIR detectors min_sat_area = float(default=1.0) # minimum required area for the central saturation of snowballs min_jump_area = float(default=5.0) # minimum area to trigger large events processing expand_factor = float(default=2.0) # The expansion factor for the enclosing circles or ellipses use_ellipses = boolean(default=False) # deprecated sat_required_snowball = boolean(default=True) # Require the center of snowballs to be saturated min_sat_radius_extend = float(default=2.5) # The min radius of the sat core to trigger the extension of the core sat_expand = integer(default=2) # Number of pixels to add to the radius of the saturated core of snowballs edge_size = integer(default=25) # Distance from detector edge where a saturated core is not required for snowball detection mask_snowball_core_next_int = boolean(default=True) # Flag saturated cores of snowballs in the next integration? snowball_time_masked_next_int = integer(default=4000) # Time in seconds over which saturated cores are flagged in next integration find_showers = boolean(default=False) # Apply MIRI shower flagging? max_shower_amplitude = float(default=4) # Maximum MIRI shower amplitude in DN/s extend_snr_threshold = float(default=1.2) # The SNR minimum for detection of extended showers in MIRI extend_min_area = integer(default=90) # Min area of emission after convolution for the detection of showers extend_inner_radius = float(default=1) # Inner radius of the ring_2D_kernel used for convolution extend_outer_radius = float(default=2.6) # Outer radius of the ring_2D_Kernel used for convolution extend_ellipse_expand_ratio = float(default=1.1) # Expand the radius of the ellipse fit to the extended emission time_masked_after_shower = float(default=15) # Seconds to flag as jump after a detected extended emission min_diffs_single_pass = integer(default=10) # The minimum number of differences needed to skip the iterative flagging of jumps. max_extended_radius = integer(default=200) # The maximum radius of an extended snowball or shower minimum_groups = integer(default=3) # The minimum number of groups to perform jump detection using sigma clipping minimum_sigclip_groups = integer(default=100) # The minimum number of groups to switch to sigma clipping only_use_ints = boolean(default=True) # In sigclip only compare the same group across ints, if False compare all groups
Methods Documentation