[9ff861b] | 1 | |
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[7116b6e0] | 2 | ################################################################################ |
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| 3 | #This software was developed by the University of Tennessee as part of the |
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| 4 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 5 | #project funded by the US National Science Foundation. |
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| 6 | # |
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| 7 | #See the license text in license.txt |
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| 8 | # |
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| 9 | #copyright 2009, University of Tennessee |
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| 10 | ################################################################################ |
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[9ff861b] | 11 | |
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| 12 | |
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[f3d51f6] | 13 | # Make sure the option of saving each curve is available |
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| 14 | # Use the I(q) curve as input and compare the output to P(r) |
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| 15 | |
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| 16 | import os |
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[4a5de6f] | 17 | import sys |
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[f3d51f6] | 18 | import wx |
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[aa4b8379] | 19 | import logging |
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[302510b] | 20 | import time |
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[75df58b] | 21 | import copy |
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| 22 | import math |
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| 23 | import numpy |
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| 24 | import pylab |
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| 25 | from sans.guiframe.dataFitting import Data1D |
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| 26 | from sans.guiframe.events import NewPlotEvent |
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[a07e72f] | 27 | from sans.guiframe.events import StatusEvent |
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| 28 | from sans.guiframe.gui_style import GUIFRAME_ID |
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[f3d51f6] | 29 | from sans.pr.invertor import Invertor |
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[aab8ad7] | 30 | from DataLoader.loader import Loader |
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[a07e72f] | 31 | |
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[af91b68] | 32 | from pr_widgets import load_error |
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[75df58b] | 33 | from sans.guiframe.plugin_base import PluginBase |
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[f3d51f6] | 34 | |
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[0d88a09] | 35 | |
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[f1181977] | 36 | PR_FIT_LABEL = r"$P_{fit}(r)$" |
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| 37 | PR_LOADED_LABEL = r"$P_{loaded}(r)$" |
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| 38 | IQ_DATA_LABEL = r"$I_{obs}(q)$" |
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| 39 | IQ_FIT_LABEL = r"$I_{fit}(q)$" |
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| 40 | IQ_SMEARED_LABEL = r"$I_{smeared}(q)$" |
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[aa4b8379] | 41 | |
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| 42 | |
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[3e41f43] | 43 | class Plugin(PluginBase): |
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[7116b6e0] | 44 | """ |
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| 45 | """ |
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[b659551] | 46 | DEFAULT_ALPHA = 0.0001 |
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| 47 | DEFAULT_NFUNC = 10 |
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| 48 | DEFAULT_DMAX = 140.0 |
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| 49 | |
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[d2ee6f6] | 50 | def __init__(self, standalone=True): |
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[3e41f43] | 51 | PluginBase.__init__(self, name="Pr inversion", standalone=standalone) |
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[f3d51f6] | 52 | ## Simulation window manager |
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| 53 | self.simview = None |
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[3e41f43] | 54 | |
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[f3d51f6] | 55 | ## State data |
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[b659551] | 56 | self.alpha = self.DEFAULT_ALPHA |
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| 57 | self.nfunc = self.DEFAULT_NFUNC |
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| 58 | self.max_length = self.DEFAULT_DMAX |
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[634f1cf] | 59 | self.q_min = None |
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| 60 | self.q_max = None |
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[a4bd2ac] | 61 | self.has_bck = False |
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[2a92852] | 62 | self.slit_height = 0 |
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| 63 | self.slit_width = 0 |
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[f3d51f6] | 64 | ## Remember last plottable processed |
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| 65 | self.last_data = "sphere_60_q0_2.txt" |
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[0bae207] | 66 | self._current_file_data = None |
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[f3d51f6] | 67 | ## Time elapsed for last computation [sec] |
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| 68 | # Start with a good default |
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| 69 | self.elapsed = 0.022 |
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[aa4b8379] | 70 | self.iq_data_shown = False |
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[f3d51f6] | 71 | |
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| 72 | ## Current invertor |
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| 73 | self.invertor = None |
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[3fd1ebc] | 74 | self.pr = None |
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[db4ed82] | 75 | self.data_id = IQ_DATA_LABEL |
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[feb21d8] | 76 | # Copy of the last result in case we need to display it. |
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| 77 | self._last_pr = None |
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| 78 | self._last_out = None |
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| 79 | self._last_cov = None |
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[f3d51f6] | 80 | ## Calculation thread |
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| 81 | self.calc_thread = None |
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| 82 | ## Estimation thread |
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| 83 | self.estimation_thread = None |
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| 84 | ## Result panel |
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| 85 | self.control_panel = None |
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| 86 | ## Currently views plottable |
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| 87 | self.current_plottable = None |
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[b659551] | 88 | ## Number of P(r) points to display on the output plot |
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| 89 | self._pr_npts = 51 |
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[aa4b8379] | 90 | ## Flag to let the plug-in know that it is running standalone |
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[d2ee6f6] | 91 | self.standalone = standalone |
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[feb21d8] | 92 | self._normalize_output = False |
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| 93 | self._scale_output_unity = False |
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[aa4b8379] | 94 | |
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[f1181977] | 95 | ## List of added P(r) plots |
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| 96 | self._added_plots = {} |
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| 97 | self._default_Iq = {} |
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[91d910d] | 98 | self.list_plot_id = [] |
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[f1181977] | 99 | |
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[6f1f129] | 100 | # Associate the inversion state reader with .prv files |
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| 101 | from inversion_state import Reader |
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| 102 | |
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[0d88a09] | 103 | # Create a CanSAS/Pr reader |
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| 104 | self.state_reader = Reader(self.set_state) |
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[6d3d5ff] | 105 | self._extensions = '.prv' |
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[6f1f129] | 106 | l = Loader() |
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[410aad8] | 107 | l.associate_file_reader('.prv', self.state_reader) |
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[6d3d5ff] | 108 | l.associate_file_reader(".svs", self.state_reader) |
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[6f1f129] | 109 | |
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[aa4b8379] | 110 | # Log startup |
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| 111 | logging.info("Pr(r) plug-in started") |
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| 112 | |
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[91d910d] | 113 | def delete_data(self, data_id): |
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| 114 | """ |
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| 115 | delete the data association with prview |
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| 116 | """ |
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| 117 | if self.calc_thread is not None and self.calc_thread.isrunning(): |
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| 118 | msg = "Data in use in Prview\n" |
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| 119 | if self.estimation_thread is not None and \ |
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| 120 | self.estimation_thread.isrunning(): |
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| 121 | msg = "Data in use in Prview\n" |
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| 122 | self.control_panel.clear_panel() |
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| 123 | |
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[6d3d5ff] | 124 | def get_data(self): |
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| 125 | """ |
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| 126 | """ |
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| 127 | return self.current_plottable |
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| 128 | |
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[75fbd17] | 129 | def set_state(self, state=None, datainfo=None): |
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[6f1f129] | 130 | """ |
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[7116b6e0] | 131 | Call-back method for the inversion state reader. |
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| 132 | This method is called when a .prv file is loaded. |
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| 133 | |
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| 134 | :param state: InversionState object |
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| 135 | :param datainfo: Data1D object [optional] |
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| 136 | |
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[6f1f129] | 137 | """ |
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[410aad8] | 138 | try: |
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[75fbd17] | 139 | if datainfo.__class__.__name__ == 'list': |
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[c03b780] | 140 | if len(datainfo) >= 1: |
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[75fbd17] | 141 | data = datainfo[0] |
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[c03b780] | 142 | else: |
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| 143 | data = None |
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| 144 | else: |
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| 145 | data = datainfo |
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[75fbd17] | 146 | if data is None: |
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[0d88a09] | 147 | raise RuntimeError, "Pr.set_state: datainfo parameter cannot be None in standalone mode" |
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[229da98] | 148 | |
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[0d88a09] | 149 | # Ensuring that plots are coordinated correctly |
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[75fbd17] | 150 | t = time.localtime(data.meta_data['prstate'].timestamp) |
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[0d88a09] | 151 | time_str = time.strftime("%b %d %H:%M", t) |
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| 152 | |
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| 153 | # Check that no time stamp is already appended |
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[75fbd17] | 154 | max_char = data.meta_data['prstate'].file.find("[") |
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[0d88a09] | 155 | if max_char < 0: |
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[75fbd17] | 156 | max_char = len(data.meta_data['prstate'].file) |
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[0d88a09] | 157 | |
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[229da98] | 158 | datainfo.meta_data['prstate'].file = data.meta_data['prstate'].file[0:max_char] +' [' + time_str + ']' |
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[75fbd17] | 159 | data.filename = data.meta_data['prstate'].file |
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[053c769] | 160 | # TODO: |
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| 161 | #remove this call when state save all information about the gui data |
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| 162 | # such as ID , Group_ID, etc... |
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| 163 | #make self.current_plottable = datainfo directly |
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[229da98] | 164 | self.current_plottable = self.parent.create_gui_data(data,None) |
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| 165 | self.current_plottable.group_id = data.meta_data['prstate'].file |
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[75fbd17] | 166 | |
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| 167 | # Make sure the user sees the P(r) panel after loading |
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| 168 | #self.parent.set_perspective(self.perspective) |
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| 169 | self.on_perspective(event=None) |
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[410aad8] | 170 | # Load the P(r) results |
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[229da98] | 171 | #state = self.state_reader.get_state() |
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[a3149c5] | 172 | self.parent.add_data(data_list=[self.current_plottable]) |
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[75fbd17] | 173 | wx.PostEvent(self.parent, NewPlotEvent(plot=self.current_plottable, |
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| 174 | title=self.current_plottable.title)) |
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[410aad8] | 175 | self.control_panel.set_state(state) |
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| 176 | except: |
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[a07e72f] | 177 | logging.error("prview.set_state: %s" % sys.exc_value) |
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[f3d51f6] | 178 | |
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[8994b6b] | 179 | |
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[119a11d] | 180 | def help(self, evt): |
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| 181 | """ |
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[7116b6e0] | 182 | Show a general help dialog. |
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| 183 | |
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| 184 | :TODO: replace the text with a nice image |
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| 185 | |
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[119a11d] | 186 | """ |
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| 187 | from inversion_panel import HelpDialog |
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| 188 | dialog = HelpDialog(None, -1) |
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| 189 | if dialog.ShowModal() == wx.ID_OK: |
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| 190 | dialog.Destroy() |
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| 191 | else: |
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| 192 | dialog.Destroy() |
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| 193 | |
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[f3d51f6] | 194 | def _fit_pr(self, evt): |
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[7116b6e0] | 195 | """ |
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| 196 | """ |
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[f3d51f6] | 197 | from sans.pr.invertor import Invertor |
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| 198 | # Generate P(r) for sphere |
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| 199 | radius = 60.0 |
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| 200 | d_max = 2*radius |
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| 201 | |
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| 202 | r = pylab.arange(0.01, d_max, d_max/51.0) |
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| 203 | M = len(r) |
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| 204 | y = numpy.zeros(M) |
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| 205 | pr_err = numpy.zeros(M) |
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| 206 | |
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| 207 | sum = 0.0 |
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| 208 | for j in range(M): |
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| 209 | value = self.pr_theory(r[j], radius) |
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| 210 | sum += value |
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| 211 | y[j] = value |
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| 212 | pr_err[j] = math.sqrt(y[j]) |
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| 213 | |
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| 214 | y = y/sum*d_max/len(r) |
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| 215 | |
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| 216 | # Perform fit |
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| 217 | pr = Invertor() |
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| 218 | pr.d_max = d_max |
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| 219 | pr.alpha = 0 |
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| 220 | pr.x = r |
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| 221 | pr.y = y |
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| 222 | pr.err = pr_err |
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| 223 | out, cov = pr.pr_fit() |
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| 224 | for i in range(len(out)): |
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| 225 | print "%g +- %g" % (out[i], math.sqrt(cov[i][i])) |
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[a07e72f] | 226 | |
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[f3d51f6] | 227 | # Show input P(r) |
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[a07e72f] | 228 | title = "Pr" |
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| 229 | new_plot = Data1D(pr.x, pr.y, dy=pr.err) |
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[f3d51f6] | 230 | new_plot.name = "P_{obs}(r)" |
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| 231 | new_plot.xaxis("\\rm{r}", 'A') |
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| 232 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
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[e88ebfd] | 233 | new_plot.group_id = "P_{obs}(r)" |
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[a07e72f] | 234 | new_plot.id = "P_{obs}(r)" |
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| 235 | new_plot.title = title |
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[db4ed82] | 236 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[a07e72f] | 237 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[f3d51f6] | 238 | |
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| 239 | # Show P(r) fit |
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| 240 | self.show_pr(out, pr) |
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| 241 | |
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| 242 | # Show I(q) fit |
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| 243 | q = pylab.arange(0.001, 0.1, 0.01/51.0) |
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| 244 | self.show_iq(out, pr, q) |
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| 245 | |
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| 246 | def show_shpere(self, x, radius=70.0, x_range=70.0): |
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[7116b6e0] | 247 | """ |
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| 248 | """ |
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[f3d51f6] | 249 | # Show P(r) |
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| 250 | y_true = numpy.zeros(len(x)) |
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| 251 | |
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| 252 | sum_true = 0.0 |
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| 253 | for i in range(len(x)): |
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| 254 | y_true[i] = self.pr_theory(x[i], radius) |
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| 255 | sum_true += y_true[i] |
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| 256 | |
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| 257 | y_true = y_true/sum_true*x_range/len(x) |
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| 258 | |
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| 259 | # Show the theory P(r) |
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[a07e72f] | 260 | new_plot = Data1D(x, y_true) |
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| 261 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[f3d51f6] | 262 | new_plot.name = "P_{true}(r)" |
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| 263 | new_plot.xaxis("\\rm{r}", 'A') |
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| 264 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
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[a3149c5] | 265 | new_plot.id = "P_{true}(r)" |
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[e88ebfd] | 266 | new_plot.group_id = "P_{true}(r)" |
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[db4ed82] | 267 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[f3d51f6] | 268 | #Put this call in plottables/guitools |
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[db4ed82] | 269 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
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| 270 | title="Sphere P(r)")) |
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[75df58b] | 271 | |
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[f3d51f6] | 272 | |
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[b659551] | 273 | def get_npts(self): |
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| 274 | """ |
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[7116b6e0] | 275 | Returns the number of points in the I(q) data |
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[b659551] | 276 | """ |
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| 277 | try: |
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| 278 | return len(self.pr.x) |
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| 279 | except: |
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| 280 | return 0 |
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| 281 | |
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[f3d51f6] | 282 | def show_iq(self, out, pr, q=None): |
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[7116b6e0] | 283 | """ |
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[75df58b] | 284 | """ |
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[f3d51f6] | 285 | qtemp = pr.x |
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| 286 | if not q==None: |
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| 287 | qtemp = q |
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| 288 | |
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| 289 | # Make a plot |
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| 290 | maxq = -1 |
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| 291 | for q_i in qtemp: |
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| 292 | if q_i>maxq: |
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| 293 | maxq=q_i |
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| 294 | |
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[634f1cf] | 295 | minq = 0.001 |
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| 296 | |
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| 297 | # Check for user min/max |
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| 298 | if not pr.q_min==None: |
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| 299 | minq = pr.q_min |
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| 300 | if not pr.q_max==None: |
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| 301 | maxq = pr.q_max |
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| 302 | |
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| 303 | x = pylab.arange(minq, maxq, maxq/301.0) |
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[f3d51f6] | 304 | y = numpy.zeros(len(x)) |
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| 305 | err = numpy.zeros(len(x)) |
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| 306 | for i in range(len(x)): |
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| 307 | value = pr.iq(out, x[i]) |
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| 308 | y[i] = value |
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| 309 | try: |
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| 310 | err[i] = math.sqrt(math.fabs(value)) |
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| 311 | except: |
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| 312 | err[i] = 1.0 |
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| 313 | print "Error getting error", value, x[i] |
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| 314 | |
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[a07e72f] | 315 | new_plot = Data1D(x, y) |
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| 316 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[2a92852] | 317 | new_plot.name = IQ_FIT_LABEL |
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[f3d51f6] | 318 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
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| 319 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
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[d2ee6f6] | 320 | title = "I(q)" |
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[a07e72f] | 321 | new_plot.title = title |
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| 322 | |
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[d2ee6f6] | 323 | # If we have a group ID, use it |
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| 324 | if pr.info.has_key("plot_group_id"): |
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[e88ebfd] | 325 | new_plot.group_id = pr.info["plot_group_id"] |
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[a07e72f] | 326 | new_plot.id = IQ_FIT_LABEL |
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[db4ed82] | 327 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[d2ee6f6] | 328 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[f3d51f6] | 329 | |
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[2a92852] | 330 | # If we have used slit smearing, plot the smeared I(q) too |
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| 331 | if pr.slit_width>0 or pr.slit_height>0: |
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| 332 | x = pylab.arange(minq, maxq, maxq/301.0) |
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| 333 | y = numpy.zeros(len(x)) |
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| 334 | err = numpy.zeros(len(x)) |
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| 335 | for i in range(len(x)): |
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| 336 | value = pr.iq_smeared(out, x[i]) |
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| 337 | y[i] = value |
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| 338 | try: |
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| 339 | err[i] = math.sqrt(math.fabs(value)) |
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| 340 | except: |
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| 341 | err[i] = 1.0 |
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| 342 | print "Error getting error", value, x[i] |
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| 343 | |
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[a07e72f] | 344 | new_plot = Data1D(x, y) |
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| 345 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
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[2a92852] | 346 | new_plot.name = IQ_SMEARED_LABEL |
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| 347 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
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| 348 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
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[f0ff8d65] | 349 | # If we have a group ID, use it |
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| 350 | if pr.info.has_key("plot_group_id"): |
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[e88ebfd] | 351 | new_plot.group_id = pr.info["plot_group_id"] |
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[a07e72f] | 352 | new_plot.id = IQ_SMEARED_LABEL |
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| 353 | new_plot.title = title |
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[db4ed82] | 354 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
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[f0ff8d65] | 355 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
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[2a92852] | 356 | |
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[b659551] | 357 | def _on_pr_npts(self, evt): |
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| 358 | """ |
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[7116b6e0] | 359 | Redisplay P(r) with a different number of points |
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[b659551] | 360 | """ |
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| 361 | from inversion_panel import PrDistDialog |
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| 362 | dialog = PrDistDialog(None, -1) |
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| 363 | dialog.set_content(self._pr_npts) |
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| 364 | if dialog.ShowModal() == wx.ID_OK: |
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| 365 | self._pr_npts= dialog.get_content() |
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| 366 | dialog.Destroy() |
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[feb21d8] | 367 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
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[b659551] | 368 | else: |
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| 369 | dialog.Destroy() |
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[f3d51f6] | 370 | |
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| 371 | |
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| 372 | def show_pr(self, out, pr, cov=None): |
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[7116b6e0] | 373 | """ |
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[75df58b] | 374 | """ |
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[f3d51f6] | 375 | # Show P(r) |
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[b659551] | 376 | x = pylab.arange(0.0, pr.d_max, pr.d_max/self._pr_npts) |
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[f3d51f6] | 377 | |
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| 378 | y = numpy.zeros(len(x)) |
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| 379 | dy = numpy.zeros(len(x)) |
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| 380 | y_true = numpy.zeros(len(x)) |
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| 381 | |
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| 382 | sum = 0.0 |
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[feb21d8] | 383 | pmax = 0.0 |
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[dfb58f8] | 384 | cov2 = numpy.ascontiguousarray(cov) |
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| 385 | |
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[f3d51f6] | 386 | for i in range(len(x)): |
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[dfb58f8] | 387 | if cov2==None: |
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[f3d51f6] | 388 | value = pr.pr(out, x[i]) |
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| 389 | else: |
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[dfb58f8] | 390 | (value, dy[i]) = pr.pr_err(out, cov2, x[i]) |
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[660b1e6] | 391 | sum += value*pr.d_max/len(x) |
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[f3d51f6] | 392 | |
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[feb21d8] | 393 | # keep track of the maximum P(r) value |
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| 394 | if value>pmax: |
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| 395 | pmax = value |
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| 396 | |
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| 397 | y[i] = value |
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| 398 | |
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| 399 | if self._normalize_output==True: |
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| 400 | y = y/sum |
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| 401 | dy = dy/sum |
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| 402 | elif self._scale_output_unity==True: |
---|
| 403 | y = y/pmax |
---|
| 404 | dy = dy/pmax |
---|
[f3d51f6] | 405 | |
---|
[dfb58f8] | 406 | if cov2==None: |
---|
[a07e72f] | 407 | new_plot = Data1D(x, y) |
---|
| 408 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f3d51f6] | 409 | else: |
---|
[a07e72f] | 410 | new_plot = Data1D(x, y, dy=dy) |
---|
[f1181977] | 411 | new_plot.name = PR_FIT_LABEL |
---|
[f3d51f6] | 412 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 413 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[75df58b] | 414 | new_plot.title = "P(r) fit" |
---|
[a07e72f] | 415 | new_plot.id = PR_FIT_LABEL |
---|
[d2ee6f6] | 416 | # Make sure that the plot is linear |
---|
[75fbd17] | 417 | new_plot.xtransform = "x" |
---|
[a3149c5] | 418 | new_plot.ytransform = "y" |
---|
[e88ebfd] | 419 | new_plot.group_id = "P(r) fit" |
---|
[db4ed82] | 420 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
---|
[f3d51f6] | 421 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="P(r) fit")) |
---|
| 422 | return x, pr.d_max |
---|
[db4ed82] | 423 | |
---|
[75df58b] | 424 | def load(self, data): |
---|
[0bae207] | 425 | """ |
---|
[7116b6e0] | 426 | Load data. This will eventually be replaced |
---|
| 427 | by our standard DataLoader class. |
---|
[0bae207] | 428 | """ |
---|
| 429 | class FileData: |
---|
| 430 | x = None |
---|
| 431 | y = None |
---|
| 432 | err = None |
---|
| 433 | path = None |
---|
| 434 | |
---|
| 435 | def __init__(self, path): |
---|
| 436 | self.path = path |
---|
| 437 | |
---|
[75df58b] | 438 | self._current_file_data = FileData(data.path) |
---|
[0bae207] | 439 | |
---|
[aab8ad7] | 440 | # Use data loader to load file |
---|
[75df58b] | 441 | #dataread = Loader().load(path) |
---|
| 442 | dataread = data |
---|
[ceaf16e] | 443 | # Notify the user if we could not read the file |
---|
| 444 | if dataread is None: |
---|
| 445 | raise RuntimeError, "Invalid data" |
---|
| 446 | |
---|
[aab8ad7] | 447 | x = None |
---|
| 448 | y = None |
---|
| 449 | err = None |
---|
| 450 | if dataread.__class__.__name__ == 'Data1D': |
---|
| 451 | x = dataread.x |
---|
| 452 | y = dataread.y |
---|
| 453 | err = dataread.dy |
---|
| 454 | else: |
---|
[e43c012] | 455 | if isinstance(dataread, list) and len(dataread)>0: |
---|
| 456 | x = dataread[0].x |
---|
| 457 | y = dataread[0].y |
---|
| 458 | err = dataread[0].dy |
---|
| 459 | msg = "PrView only allows a single data set at a time. " |
---|
| 460 | msg += "Only the first data set was loaded." |
---|
| 461 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 462 | else: |
---|
[6f1f129] | 463 | if dataread is None: |
---|
| 464 | return x, y, err |
---|
[e43c012] | 465 | raise RuntimeError, "This tool can only read 1D data" |
---|
[aab8ad7] | 466 | |
---|
[0bae207] | 467 | self._current_file_data.x = x |
---|
| 468 | self._current_file_data.y = y |
---|
| 469 | self._current_file_data.err = err |
---|
| 470 | return x, y, err |
---|
| 471 | |
---|
| 472 | def load_columns(self, path = "sphere_60_q0_2.txt"): |
---|
| 473 | """ |
---|
[7116b6e0] | 474 | Load 2- or 3- column ascii |
---|
[0bae207] | 475 | """ |
---|
[f3d51f6] | 476 | import numpy, math, sys |
---|
| 477 | # Read the data from the data file |
---|
| 478 | data_x = numpy.zeros(0) |
---|
| 479 | data_y = numpy.zeros(0) |
---|
| 480 | data_err = numpy.zeros(0) |
---|
[b659551] | 481 | scale = None |
---|
| 482 | min_err = 0.0 |
---|
[f3d51f6] | 483 | if not path == None: |
---|
| 484 | input_f = open(path,'r') |
---|
| 485 | buff = input_f.read() |
---|
| 486 | lines = buff.split('\n') |
---|
| 487 | for line in lines: |
---|
| 488 | try: |
---|
| 489 | toks = line.split() |
---|
| 490 | x = float(toks[0]) |
---|
| 491 | y = float(toks[1]) |
---|
[b659551] | 492 | if len(toks)>2: |
---|
| 493 | err = float(toks[2]) |
---|
| 494 | else: |
---|
| 495 | if scale==None: |
---|
| 496 | scale = 0.05*math.sqrt(y) |
---|
| 497 | #scale = 0.05/math.sqrt(y) |
---|
| 498 | min_err = 0.01*y |
---|
| 499 | err = scale*math.sqrt(y)+min_err |
---|
| 500 | #err = 0 |
---|
| 501 | |
---|
[4a5de6f] | 502 | data_x = numpy.append(data_x, x) |
---|
| 503 | data_y = numpy.append(data_y, y) |
---|
[b659551] | 504 | data_err = numpy.append(data_err, err) |
---|
[f3d51f6] | 505 | except: |
---|
[b659551] | 506 | pass |
---|
[f3d51f6] | 507 | |
---|
[357b79b] | 508 | if not scale==None: |
---|
| 509 | message = "The loaded file had no error bars, statistical errors are assumed." |
---|
| 510 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 511 | else: |
---|
| 512 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 513 | |
---|
[b659551] | 514 | return data_x, data_y, data_err |
---|
[f3d51f6] | 515 | |
---|
[0bae207] | 516 | def load_abs(self, path): |
---|
| 517 | """ |
---|
[7116b6e0] | 518 | Load an IGOR .ABS reduced file |
---|
| 519 | |
---|
| 520 | :param path: file path |
---|
| 521 | |
---|
| 522 | :return: x, y, err vectors |
---|
| 523 | |
---|
[0bae207] | 524 | """ |
---|
| 525 | import numpy, math, sys |
---|
| 526 | # Read the data from the data file |
---|
| 527 | data_x = numpy.zeros(0) |
---|
| 528 | data_y = numpy.zeros(0) |
---|
| 529 | data_err = numpy.zeros(0) |
---|
| 530 | scale = None |
---|
| 531 | min_err = 0.0 |
---|
| 532 | |
---|
| 533 | data_started = False |
---|
| 534 | if not path == None: |
---|
| 535 | input_f = open(path,'r') |
---|
| 536 | buff = input_f.read() |
---|
| 537 | lines = buff.split('\n') |
---|
| 538 | for line in lines: |
---|
| 539 | if data_started==True: |
---|
| 540 | try: |
---|
| 541 | toks = line.split() |
---|
| 542 | x = float(toks[0]) |
---|
| 543 | y = float(toks[1]) |
---|
| 544 | if len(toks)>2: |
---|
| 545 | err = float(toks[2]) |
---|
| 546 | else: |
---|
| 547 | if scale==None: |
---|
| 548 | scale = 0.05*math.sqrt(y) |
---|
| 549 | #scale = 0.05/math.sqrt(y) |
---|
| 550 | min_err = 0.01*y |
---|
| 551 | err = scale*math.sqrt(y)+min_err |
---|
| 552 | #err = 0 |
---|
| 553 | |
---|
| 554 | data_x = numpy.append(data_x, x) |
---|
| 555 | data_y = numpy.append(data_y, y) |
---|
| 556 | data_err = numpy.append(data_err, err) |
---|
| 557 | except: |
---|
| 558 | pass |
---|
| 559 | elif line.find("The 6 columns")>=0: |
---|
| 560 | data_started = True |
---|
| 561 | |
---|
| 562 | if not scale==None: |
---|
| 563 | message = "The loaded file had no error bars, statistical errors are assumed." |
---|
| 564 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 565 | else: |
---|
| 566 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 567 | |
---|
| 568 | return data_x, data_y, data_err |
---|
| 569 | |
---|
[f3d51f6] | 570 | def pr_theory(self, r, R): |
---|
[7116b6e0] | 571 | """ |
---|
[f3d51f6] | 572 | """ |
---|
| 573 | if r<=2*R: |
---|
| 574 | return 12.0* ((0.5*r/R)**2) * ((1.0-0.5*r/R)**2) * ( 2.0 + 0.5*r/R ) |
---|
| 575 | else: |
---|
| 576 | return 0.0 |
---|
| 577 | |
---|
[a07e72f] | 578 | def get_context_menu(self, plotpanel=None): |
---|
[f3d51f6] | 579 | """ |
---|
[7116b6e0] | 580 | Get the context menu items available for P(r) |
---|
| 581 | |
---|
| 582 | :param graph: the Graph object to which we attach the context menu |
---|
| 583 | |
---|
| 584 | :return: a list of menu items with call-back function |
---|
| 585 | |
---|
[f3d51f6] | 586 | """ |
---|
[a07e72f] | 587 | graph = plotpanel.graph |
---|
[660b1e6] | 588 | # Look whether this Graph contains P(r) data |
---|
[a07e72f] | 589 | if graph.selected_plottable not in plotpanel.plots: |
---|
| 590 | return [] |
---|
| 591 | item = plotpanel.plots[graph.selected_plottable] |
---|
| 592 | if item.id == PR_FIT_LABEL: |
---|
| 593 | #add_data_hint = "Load a data file and display it on this plot" |
---|
| 594 | #["Add P(r) data",add_data_hint , self._on_add_data], |
---|
| 595 | change_n_hint = "Change the number of" |
---|
| 596 | change_n_hint += " points on the P(r) output" |
---|
| 597 | change_n_label = "Change number of P(r) points" |
---|
| 598 | m_list = [[change_n_label, change_n_hint , self._on_pr_npts]] |
---|
[feb21d8] | 599 | |
---|
[a07e72f] | 600 | if self._scale_output_unity or self._normalize_output: |
---|
| 601 | hint = "Let the output P(r) keep the scale of the data" |
---|
| 602 | m_list.append(["Disable P(r) scaling", hint, |
---|
| 603 | self._on_disable_scaling]) |
---|
| 604 | if not self._scale_output_unity: |
---|
| 605 | m_list.append(["Scale P_max(r) to unity", |
---|
| 606 | "Scale P(r) so that its maximum is 1", |
---|
| 607 | self._on_scale_unity]) |
---|
| 608 | if not self._normalize_output: |
---|
| 609 | m_list.append(["Normalize P(r) to unity", |
---|
| 610 | "Normalize the integral of P(r) to 1", |
---|
| 611 | self._on_normalize]) |
---|
| 612 | |
---|
| 613 | return m_list |
---|
| 614 | |
---|
| 615 | elif item.id in [PR_LOADED_LABEL, IQ_DATA_LABEL, IQ_FIT_LABEL, |
---|
| 616 | IQ_SMEARED_LABEL]: |
---|
| 617 | return [] |
---|
| 618 | elif item.id == graph.selected_plottable: |
---|
| 619 | if not self.standalone and issubclass(item.__class__, Data1D): |
---|
| 620 | return [["Compute P(r)", |
---|
[75df58b] | 621 | "Compute P(r) from distribution", |
---|
| 622 | self._on_context_inversion]] |
---|
[660b1e6] | 623 | |
---|
[aa4b8379] | 624 | return [] |
---|
[660b1e6] | 625 | |
---|
[feb21d8] | 626 | def _on_disable_scaling(self, evt): |
---|
| 627 | """ |
---|
[7116b6e0] | 628 | Disable P(r) scaling |
---|
| 629 | |
---|
| 630 | :param evt: Menu event |
---|
| 631 | |
---|
[feb21d8] | 632 | """ |
---|
| 633 | self._normalize_output = False |
---|
| 634 | self._scale_output_unity = False |
---|
| 635 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 636 | |
---|
[f1181977] | 637 | # Now replot the original added data |
---|
| 638 | for plot in self._added_plots: |
---|
| 639 | self._added_plots[plot].y = numpy.copy(self._default_Iq[plot]) |
---|
[75df58b] | 640 | wx.PostEvent(self.parent, |
---|
| 641 | NewPlotEvent(plot=self._added_plots[plot], |
---|
| 642 | title=self._added_plots[plot].name, |
---|
[f1181977] | 643 | update=True)) |
---|
| 644 | |
---|
| 645 | # Need the update flag in the NewPlotEvent to protect against |
---|
| 646 | # the plot no longer being there... |
---|
| 647 | |
---|
[feb21d8] | 648 | def _on_normalize(self, evt): |
---|
| 649 | """ |
---|
[7116b6e0] | 650 | Normalize the area under the P(r) curve to 1. |
---|
| 651 | This operation is done for all displayed plots. |
---|
| 652 | |
---|
| 653 | :param evt: Menu event |
---|
| 654 | |
---|
[feb21d8] | 655 | """ |
---|
| 656 | self._normalize_output = True |
---|
| 657 | self._scale_output_unity = False |
---|
| 658 | |
---|
| 659 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 660 | |
---|
[f1181977] | 661 | # Now scale the added plots too |
---|
| 662 | for plot in self._added_plots: |
---|
| 663 | sum = numpy.sum(self._added_plots[plot].y) |
---|
| 664 | npts = len(self._added_plots[plot].x) |
---|
| 665 | sum *= self._added_plots[plot].x[npts-1]/npts |
---|
| 666 | y = self._added_plots[plot].y/sum |
---|
| 667 | |
---|
[a07e72f] | 668 | new_plot = Data1D(self._added_plots[plot].x, y) |
---|
| 669 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[e88ebfd] | 670 | new_plot.group_id = self._added_plots[plot].group_id |
---|
[a07e72f] | 671 | new_plot.id = self._added_plots[plot].id |
---|
| 672 | new_plot.title = self._added_plots[plot].title |
---|
[f1181977] | 673 | new_plot.name = self._added_plots[plot].name |
---|
| 674 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 675 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[db4ed82] | 676 | self.parent.update_theory(data_id=self.data_id, theory=new_plot) |
---|
[75df58b] | 677 | wx.PostEvent(self.parent, |
---|
| 678 | NewPlotEvent(plot=new_plot, update=True, |
---|
| 679 | title=self._added_plots[plot].name)) |
---|
[f1181977] | 680 | |
---|
[feb21d8] | 681 | def _on_scale_unity(self, evt): |
---|
| 682 | """ |
---|
[7116b6e0] | 683 | Scale the maximum P(r) value on each displayed plot to 1. |
---|
| 684 | |
---|
| 685 | :param evt: Menu event |
---|
| 686 | |
---|
[feb21d8] | 687 | """ |
---|
| 688 | self._scale_output_unity = True |
---|
| 689 | self._normalize_output = False |
---|
| 690 | |
---|
| 691 | self.show_pr(self._last_out, self._last_pr, self._last_cov) |
---|
| 692 | |
---|
[f1181977] | 693 | # Now scale the added plots too |
---|
| 694 | for plot in self._added_plots: |
---|
| 695 | _max = 0 |
---|
| 696 | for y in self._added_plots[plot].y: |
---|
| 697 | if y>_max: |
---|
| 698 | _max = y |
---|
| 699 | y = self._added_plots[plot].y/_max |
---|
| 700 | |
---|
[a07e72f] | 701 | new_plot = Data1D(self._added_plots[plot].x, y) |
---|
| 702 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f1181977] | 703 | new_plot.name = self._added_plots[plot].name |
---|
| 704 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 705 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[db4ed82] | 706 | self.parent.update_theory(data_id=self.data_id,theory=new_plot) |
---|
[75df58b] | 707 | wx.PostEvent(self.parent, |
---|
| 708 | NewPlotEvent(plot=new_plot, update=True, |
---|
| 709 | title=self._added_plots[plot].name)) |
---|
[f1181977] | 710 | |
---|
| 711 | |
---|
[660b1e6] | 712 | def _on_add_data(self, evt): |
---|
| 713 | """ |
---|
[7116b6e0] | 714 | Add a data curve to the plot |
---|
| 715 | |
---|
| 716 | :WARNING: this will be removed once guiframe.plotting has |
---|
| 717 | its full functionality |
---|
[660b1e6] | 718 | """ |
---|
| 719 | path = self.choose_file() |
---|
| 720 | if path==None: |
---|
| 721 | return |
---|
| 722 | |
---|
[14d05ba] | 723 | #x, y, err = self.parent.load_ascii_1D(path) |
---|
| 724 | # Use data loader to load file |
---|
| 725 | try: |
---|
| 726 | dataread = Loader().load(path) |
---|
| 727 | x = None |
---|
| 728 | y = None |
---|
| 729 | err = None |
---|
| 730 | if dataread.__class__.__name__ == 'Data1D': |
---|
| 731 | x = dataread.x |
---|
| 732 | y = dataread.y |
---|
| 733 | err = dataread.dy |
---|
| 734 | else: |
---|
[e43c012] | 735 | if isinstance(dataread, list) and len(dataread)>0: |
---|
| 736 | x = dataread[0].x |
---|
| 737 | y = dataread[0].y |
---|
| 738 | err = dataread[0].dy |
---|
| 739 | msg = "PrView only allows a single data set at a time. " |
---|
| 740 | msg += "Only the first data set was loaded." |
---|
| 741 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 742 | else: |
---|
[75df58b] | 743 | msg = "This tool can only read 1D data" |
---|
| 744 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
[e43c012] | 745 | return |
---|
| 746 | |
---|
[14d05ba] | 747 | except: |
---|
| 748 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
| 749 | return |
---|
[660b1e6] | 750 | |
---|
[f1181977] | 751 | filename = os.path.basename(path) |
---|
[a07e72f] | 752 | new_plot = Data1D(x, y) |
---|
| 753 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[f1181977] | 754 | new_plot.name = filename |
---|
[660b1e6] | 755 | new_plot.xaxis("\\rm{r}", 'A') |
---|
| 756 | new_plot.yaxis("\\rm{P(r)} ","cm^{-3}") |
---|
[f1181977] | 757 | # Store a ref to the plottable for later use |
---|
| 758 | self._added_plots[filename] = new_plot |
---|
| 759 | self._default_Iq[filename] = numpy.copy(y) |
---|
| 760 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=filename)) |
---|
[660b1e6] | 761 | |
---|
[f3d51f6] | 762 | def start_thread(self): |
---|
[7116b6e0] | 763 | """ |
---|
| 764 | """ |
---|
[f3d51f6] | 765 | from pr_thread import CalcPr |
---|
| 766 | from copy import deepcopy |
---|
| 767 | |
---|
| 768 | # If a thread is already started, stop it |
---|
| 769 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 770 | self.calc_thread.stop() |
---|
| 771 | |
---|
| 772 | pr = self.pr.clone() |
---|
[75df58b] | 773 | self.calc_thread = CalcPr(pr, self.nfunc, |
---|
| 774 | error_func=self._thread_error, |
---|
| 775 | completefn=self._completed, updatefn=None) |
---|
[f3d51f6] | 776 | self.calc_thread.queue() |
---|
| 777 | self.calc_thread.ready(2.5) |
---|
| 778 | |
---|
| 779 | def _thread_error(self, error): |
---|
[7116b6e0] | 780 | """ |
---|
| 781 | """ |
---|
[f3d51f6] | 782 | wx.PostEvent(self.parent, StatusEvent(status=error)) |
---|
| 783 | |
---|
[32dffae4] | 784 | def _estimate_completed(self, alpha, message, elapsed): |
---|
[f3d51f6] | 785 | """ |
---|
[7116b6e0] | 786 | Parameter estimation completed, |
---|
| 787 | display the results to the user |
---|
| 788 | |
---|
| 789 | :param alpha: estimated best alpha |
---|
| 790 | :param elapsed: computation time |
---|
| 791 | |
---|
[f3d51f6] | 792 | """ |
---|
| 793 | # Save useful info |
---|
| 794 | self.elapsed = elapsed |
---|
| 795 | self.control_panel.alpha_estimate = alpha |
---|
[32dffae4] | 796 | if not message==None: |
---|
| 797 | wx.PostEvent(self.parent, StatusEvent(status=str(message))) |
---|
[35adaf6] | 798 | self.perform_estimateNT() |
---|
| 799 | |
---|
| 800 | def _estimateNT_completed(self, nterms, alpha, message, elapsed): |
---|
| 801 | """ |
---|
[7116b6e0] | 802 | Parameter estimation completed, |
---|
| 803 | display the results to the user |
---|
| 804 | |
---|
| 805 | :param alpha: estimated best alpha |
---|
| 806 | :param nterms: estimated number of terms |
---|
| 807 | :param elapsed: computation time |
---|
| 808 | |
---|
[35adaf6] | 809 | """ |
---|
| 810 | # Save useful info |
---|
| 811 | self.elapsed = elapsed |
---|
| 812 | self.control_panel.nterms_estimate = nterms |
---|
| 813 | self.control_panel.alpha_estimate = alpha |
---|
| 814 | if not message==None: |
---|
| 815 | wx.PostEvent(self.parent, StatusEvent(status=str(message))) |
---|
[f3d51f6] | 816 | |
---|
| 817 | def _completed(self, out, cov, pr, elapsed): |
---|
| 818 | """ |
---|
[7116b6e0] | 819 | Method called with the results when the inversion |
---|
| 820 | is done |
---|
| 821 | |
---|
| 822 | :param out: output coefficient for the base functions |
---|
| 823 | :param cov: covariance matrix |
---|
| 824 | :param pr: Invertor instance |
---|
| 825 | :param elapsed: time spent computing |
---|
| 826 | |
---|
[f3d51f6] | 827 | """ |
---|
[dfb58f8] | 828 | from copy import deepcopy |
---|
[f3d51f6] | 829 | # Save useful info |
---|
| 830 | self.elapsed = elapsed |
---|
[feb21d8] | 831 | # Keep a copy of the last result |
---|
| 832 | self._last_pr = pr.clone() |
---|
| 833 | self._last_out = out |
---|
| 834 | self._last_cov = cov |
---|
| 835 | |
---|
[b659551] | 836 | # Save Pr invertor |
---|
| 837 | self.pr = pr |
---|
| 838 | |
---|
[75df58b] | 839 | #message = "Computation completed in" |
---|
| 840 | #message += %g seconds [chi2=%g]" % (elapsed, pr.chi2) |
---|
[d6113849] | 841 | #wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
[f3d51f6] | 842 | |
---|
[dfb58f8] | 843 | cov = numpy.ascontiguousarray(cov) |
---|
| 844 | |
---|
[f3d51f6] | 845 | # Show result on control panel |
---|
| 846 | self.control_panel.chi2 = pr.chi2 |
---|
| 847 | self.control_panel.elapsed = elapsed |
---|
| 848 | self.control_panel.oscillation = pr.oscillations(out) |
---|
| 849 | #print "OSCILL", pr.oscillations(out) |
---|
[d6113849] | 850 | #print "PEAKS:", pr.get_peaks(out) |
---|
[dfb58f8] | 851 | self.control_panel.positive = pr.get_positive(out) |
---|
| 852 | self.control_panel.pos_err = pr.get_pos_err(out, cov) |
---|
[a4bd2ac] | 853 | self.control_panel.rg = pr.rg(out) |
---|
| 854 | self.control_panel.iq0 = pr.iq0(out) |
---|
| 855 | self.control_panel.bck = pr.background |
---|
[f3d51f6] | 856 | |
---|
[aa4b8379] | 857 | if False: |
---|
[0bae207] | 858 | for i in range(len(out)): |
---|
| 859 | try: |
---|
[75df58b] | 860 | print "%d: %g +- %g" % (i, out[i], |
---|
| 861 | math.sqrt(math.fabs(cov[i][i]))) |
---|
[0bae207] | 862 | except: |
---|
| 863 | print sys.exc_value |
---|
| 864 | print "%d: %g +- ?" % (i, out[i]) |
---|
| 865 | |
---|
| 866 | # Make a plot of I(q) data |
---|
[aa4b8379] | 867 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
[f1181977] | 868 | new_plot.name = IQ_DATA_LABEL |
---|
[aa4b8379] | 869 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 870 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[a07e72f] | 871 | if pr.info.has_key("plot_group_id"): |
---|
[e88ebfd] | 872 | new_plot.group_id = pr.info["plot_group_id"] |
---|
[db4ed82] | 873 | new_plot.id = self.data_id |
---|
| 874 | self.parent.update_theory(data_id=self.data_id, |
---|
[a3149c5] | 875 | theory=new_plot) |
---|
[aa4b8379] | 876 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Iq")) |
---|
[f3d51f6] | 877 | |
---|
| 878 | # Show I(q) fit |
---|
| 879 | self.show_iq(out, self.pr) |
---|
| 880 | |
---|
| 881 | # Show P(r) fit |
---|
[dfb58f8] | 882 | x_values, x_range = self.show_pr(out, self.pr, cov) |
---|
[f3d51f6] | 883 | |
---|
| 884 | # Popup result panel |
---|
[75df58b] | 885 | #result_panel = InversionResults(self.parent, |
---|
| 886 | #-1, style=wx.RAISED_BORDER) |
---|
[f3d51f6] | 887 | |
---|
[75df58b] | 888 | def show_data(self, path=None, data=None, reset=False): |
---|
[2a92852] | 889 | """ |
---|
[7116b6e0] | 890 | Show data read from a file |
---|
| 891 | |
---|
| 892 | :param path: file path |
---|
| 893 | :param reset: if True all other plottables will be cleared |
---|
| 894 | |
---|
[2a92852] | 895 | """ |
---|
[75df58b] | 896 | #if path is not None: |
---|
| 897 | if data is not None: |
---|
[ea5551f] | 898 | try: |
---|
[75df58b] | 899 | pr = self._create_file_pr(data) |
---|
[ceaf16e] | 900 | except: |
---|
[75df58b] | 901 | status = "Problem reading data: %s" % sys.exc_value |
---|
[ceaf16e] | 902 | wx.PostEvent(self.parent, StatusEvent(status=status)) |
---|
| 903 | raise RuntimeError, status |
---|
[6f1f129] | 904 | |
---|
[ceaf16e] | 905 | # If the file contains nothing, just return |
---|
| 906 | if pr is None: |
---|
| 907 | raise RuntimeError, "Loaded data is invalid" |
---|
| 908 | |
---|
| 909 | self.pr = pr |
---|
[75df58b] | 910 | |
---|
[660b1e6] | 911 | # Make a plot of I(q) data |
---|
[a07e72f] | 912 | if self.pr.err == None: |
---|
| 913 | new_plot = Data1D(self.pr.x, self.pr.y) |
---|
| 914 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
[357b79b] | 915 | else: |
---|
| 916 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
[f1181977] | 917 | new_plot.name = IQ_DATA_LABEL |
---|
[660b1e6] | 918 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 919 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[aa4b8379] | 920 | new_plot.interactive = True |
---|
[e88ebfd] | 921 | new_plot.group_id = IQ_DATA_LABEL |
---|
[db4ed82] | 922 | new_plot.id = self.data_id |
---|
| 923 | new_plot.title = "I(q)" |
---|
[75df58b] | 924 | wx.PostEvent(self.parent, |
---|
| 925 | NewPlotEvent(plot=new_plot, title="I(q)", reset=reset)) |
---|
[660b1e6] | 926 | |
---|
[0d88a09] | 927 | self.current_plottable = new_plot |
---|
[aa4b8379] | 928 | # Get Q range |
---|
| 929 | self.control_panel.q_min = self.pr.x.min() |
---|
| 930 | self.control_panel.q_max = self.pr.x.max() |
---|
| 931 | |
---|
[410aad8] | 932 | def save_data(self, filepath, prstate=None): |
---|
| 933 | """ |
---|
[7116b6e0] | 934 | Save data in provided state object. |
---|
| 935 | |
---|
| 936 | :TODO: move the state code away from inversion_panel and move it here. |
---|
| 937 | Then remove the "prstate" input and make this method private. |
---|
| 938 | |
---|
| 939 | :param filepath: path of file to write to |
---|
| 940 | :param prstate: P(r) inversion state |
---|
| 941 | |
---|
[410aad8] | 942 | """ |
---|
| 943 | #TODO: do we need this or can we use DataLoader.loader.save directly? |
---|
| 944 | |
---|
| 945 | # Add output data and coefficients to state |
---|
| 946 | prstate.coefficients = self._last_out |
---|
| 947 | prstate.covariance = self._last_cov |
---|
| 948 | |
---|
| 949 | # Write the output to file |
---|
[0ab485b] | 950 | # First, check that the data is of the right type |
---|
[75df58b] | 951 | if issubclass(self.current_plottable.__class__, |
---|
| 952 | DataLoader.data_info.Data1D): |
---|
[0ab485b] | 953 | self.state_reader.write(filepath, self.current_plottable, prstate) |
---|
| 954 | else: |
---|
[75df58b] | 955 | msg = "pr.save_data: the data being saved is not a" |
---|
| 956 | msg += " DataLoader.data_info.Data1D object" |
---|
| 957 | raise RuntimeError, msg |
---|
[410aad8] | 958 | |
---|
[660b1e6] | 959 | |
---|
[2a92852] | 960 | def setup_plot_inversion(self, alpha, nfunc, d_max, q_min=None, q_max=None, |
---|
| 961 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 962 | """ |
---|
| 963 | """ |
---|
[f3d51f6] | 964 | self.alpha = alpha |
---|
| 965 | self.nfunc = nfunc |
---|
| 966 | self.max_length = d_max |
---|
[634f1cf] | 967 | self.q_min = q_min |
---|
| 968 | self.q_max = q_max |
---|
[a4bd2ac] | 969 | self.has_bck = bck |
---|
[2a92852] | 970 | self.slit_height = height |
---|
| 971 | self.slit_width = width |
---|
[f3d51f6] | 972 | |
---|
[4a5de6f] | 973 | try: |
---|
[2a92852] | 974 | pr = self._create_plot_pr() |
---|
| 975 | if not pr==None: |
---|
| 976 | self.pr = pr |
---|
| 977 | self.perform_inversion() |
---|
[4a5de6f] | 978 | except: |
---|
| 979 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 980 | |
---|
[75df58b] | 981 | def estimate_plot_inversion(self, alpha, nfunc, d_max, |
---|
| 982 | q_min=None, q_max=None, |
---|
[2a92852] | 983 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 984 | """ |
---|
| 985 | """ |
---|
[f3d51f6] | 986 | self.alpha = alpha |
---|
| 987 | self.nfunc = nfunc |
---|
| 988 | self.max_length = d_max |
---|
[634f1cf] | 989 | self.q_min = q_min |
---|
| 990 | self.q_max = q_max |
---|
[a4bd2ac] | 991 | self.has_bck = bck |
---|
[2a92852] | 992 | self.slit_height = height |
---|
| 993 | self.slit_width = width |
---|
[f3d51f6] | 994 | |
---|
[4a5de6f] | 995 | try: |
---|
[2a92852] | 996 | pr = self._create_plot_pr() |
---|
| 997 | if not pr==None: |
---|
| 998 | self.pr = pr |
---|
| 999 | self.perform_estimate() |
---|
[4a5de6f] | 1000 | except: |
---|
| 1001 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 1002 | |
---|
[2a92852] | 1003 | def _create_plot_pr(self, estimate=False): |
---|
[f3d51f6] | 1004 | """ |
---|
[7116b6e0] | 1005 | Create and prepare invertor instance from |
---|
| 1006 | a plottable data set. |
---|
| 1007 | |
---|
| 1008 | :param path: path of the file to read in |
---|
| 1009 | |
---|
[f3d51f6] | 1010 | """ |
---|
[ceaf16e] | 1011 | # Sanity check |
---|
| 1012 | if self.current_plottable is None: |
---|
| 1013 | msg = "Please load a valid data set before proceeding." |
---|
| 1014 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1015 | return None |
---|
| 1016 | |
---|
[f3d51f6] | 1017 | # Get the data from the chosen data set and perform inversion |
---|
| 1018 | pr = Invertor() |
---|
| 1019 | pr.d_max = self.max_length |
---|
| 1020 | pr.alpha = self.alpha |
---|
[634f1cf] | 1021 | pr.q_min = self.q_min |
---|
| 1022 | pr.q_max = self.q_max |
---|
[f3d51f6] | 1023 | pr.x = self.current_plottable.x |
---|
| 1024 | pr.y = self.current_plottable.y |
---|
[a4bd2ac] | 1025 | pr.has_bck = self.has_bck |
---|
[2a92852] | 1026 | pr.slit_height = self.slit_height |
---|
| 1027 | pr.slit_width = self.slit_width |
---|
[f3d51f6] | 1028 | |
---|
[d2ee6f6] | 1029 | # Keep track of the plot window title to ensure that |
---|
| 1030 | # we can overlay the plots |
---|
[e88ebfd] | 1031 | pr.info["plot_group_id"] = self.current_plottable.group_id |
---|
[d2ee6f6] | 1032 | |
---|
[f3d51f6] | 1033 | # Fill in errors if none were provided |
---|
[d2ee6f6] | 1034 | err = self.current_plottable.dy |
---|
| 1035 | all_zeros = True |
---|
| 1036 | if err == None: |
---|
[d483799] | 1037 | err = numpy.zeros(len(pr.y)) |
---|
[d2ee6f6] | 1038 | else: |
---|
| 1039 | for i in range(len(err)): |
---|
| 1040 | if err[i]>0: |
---|
| 1041 | all_zeros = False |
---|
| 1042 | |
---|
| 1043 | if all_zeros: |
---|
| 1044 | scale = None |
---|
| 1045 | min_err = 0.0 |
---|
[f3d51f6] | 1046 | for i in range(len(pr.y)): |
---|
[d2ee6f6] | 1047 | # Scale the error so that we can fit over several decades of Q |
---|
| 1048 | if scale==None: |
---|
| 1049 | scale = 0.05*math.sqrt(pr.y[i]) |
---|
| 1050 | min_err = 0.01*pr.y[i] |
---|
| 1051 | err[i] = scale*math.sqrt( math.fabs(pr.y[i]) ) + min_err |
---|
[75df58b] | 1052 | message = "The loaded file had no error bars, " |
---|
| 1053 | message += "statistical errors are assumed." |
---|
[d2ee6f6] | 1054 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1055 | |
---|
| 1056 | pr.err = err |
---|
[2a92852] | 1057 | |
---|
| 1058 | return pr |
---|
[f3d51f6] | 1059 | |
---|
| 1060 | |
---|
[75df58b] | 1061 | def setup_file_inversion(self, alpha, nfunc, d_max, data, |
---|
| 1062 | path=None, q_min=None, q_max=None, |
---|
[2a92852] | 1063 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 1064 | """ |
---|
| 1065 | """ |
---|
[f3d51f6] | 1066 | self.alpha = alpha |
---|
| 1067 | self.nfunc = nfunc |
---|
| 1068 | self.max_length = d_max |
---|
[634f1cf] | 1069 | self.q_min = q_min |
---|
| 1070 | self.q_max = q_max |
---|
[a4bd2ac] | 1071 | self.has_bck = bck |
---|
[2a92852] | 1072 | self.slit_height = height |
---|
| 1073 | self.slit_width = width |
---|
[f3d51f6] | 1074 | |
---|
[4a5de6f] | 1075 | try: |
---|
[75df58b] | 1076 | #pr = self._create_file_pr(path) |
---|
| 1077 | pr = self._create_file_pr(data) |
---|
[2a92852] | 1078 | if not pr==None: |
---|
| 1079 | self.pr = pr |
---|
[4a5de6f] | 1080 | self.perform_inversion() |
---|
| 1081 | except: |
---|
| 1082 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
[f3d51f6] | 1083 | |
---|
[75df58b] | 1084 | def estimate_file_inversion(self, alpha, nfunc, d_max, data, |
---|
| 1085 | path=None, q_min=None, q_max=None, |
---|
[2a92852] | 1086 | bck=False, height=0, width=0): |
---|
[7116b6e0] | 1087 | """ |
---|
| 1088 | """ |
---|
[f3d51f6] | 1089 | self.alpha = alpha |
---|
| 1090 | self.nfunc = nfunc |
---|
| 1091 | self.max_length = d_max |
---|
[634f1cf] | 1092 | self.q_min = q_min |
---|
| 1093 | self.q_max = q_max |
---|
[a4bd2ac] | 1094 | self.has_bck = bck |
---|
[2a92852] | 1095 | self.slit_height = height |
---|
| 1096 | self.slit_width = width |
---|
[f3d51f6] | 1097 | |
---|
[4a5de6f] | 1098 | try: |
---|
[75df58b] | 1099 | pr = self._create_file_pr(data) |
---|
| 1100 | #pr = self._create_file_pr(path) |
---|
| 1101 | if not pr is None: |
---|
[2a92852] | 1102 | self.pr = pr |
---|
[4a5de6f] | 1103 | self.perform_estimate() |
---|
| 1104 | except: |
---|
| 1105 | wx.PostEvent(self.parent, StatusEvent(status=sys.exc_value)) |
---|
| 1106 | |
---|
[f3d51f6] | 1107 | |
---|
[75df58b] | 1108 | def _create_file_pr(self, data): |
---|
[f3d51f6] | 1109 | """ |
---|
[7116b6e0] | 1110 | Create and prepare invertor instance from |
---|
| 1111 | a file data set. |
---|
| 1112 | |
---|
| 1113 | :param path: path of the file to read in |
---|
| 1114 | |
---|
[f3d51f6] | 1115 | """ |
---|
| 1116 | # Load data |
---|
[75df58b] | 1117 | #if os.path.isfile(path): |
---|
| 1118 | """ |
---|
| 1119 | if self._current_file_data is not None \ |
---|
| 1120 | and self._current_file_data.path==path: |
---|
| 1121 | # Protect against corrupted data from |
---|
| 1122 | # previous failed load attempt |
---|
| 1123 | if self._current_file_data.x is None: |
---|
| 1124 | return None |
---|
| 1125 | x = self._current_file_data.x |
---|
| 1126 | y = self._current_file_data.y |
---|
| 1127 | err = self._current_file_data.err |
---|
[357b79b] | 1128 | |
---|
[75df58b] | 1129 | message = "The data from this file has already been loaded." |
---|
| 1130 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1131 | else: |
---|
| 1132 | """ |
---|
| 1133 | # Reset the status bar so that we don't get mixed up |
---|
| 1134 | # with old messages. |
---|
| 1135 | #TODO: refactor this into a proper status handling |
---|
| 1136 | wx.PostEvent(self.parent, StatusEvent(status='')) |
---|
| 1137 | try: |
---|
| 1138 | class FileData: |
---|
| 1139 | x = None |
---|
| 1140 | y = None |
---|
| 1141 | err = None |
---|
| 1142 | path = None |
---|
| 1143 | def __init__(self, path): |
---|
| 1144 | self.path = path |
---|
[6f1f129] | 1145 | |
---|
[75df58b] | 1146 | self._current_file_data = FileData(data.path) |
---|
| 1147 | self._current_file_data.x = data.x |
---|
| 1148 | self._current_file_data.y = data.y |
---|
| 1149 | self._current_file_data.err = data.dy |
---|
| 1150 | x, y, err = data.x, data.y, data.dy |
---|
| 1151 | except: |
---|
| 1152 | load_error(sys.exc_value) |
---|
| 1153 | return None |
---|
| 1154 | |
---|
| 1155 | # If the file contains no data, just return |
---|
| 1156 | if x is None or len(x) == 0: |
---|
| 1157 | load_error("The loaded file contains no data") |
---|
| 1158 | return None |
---|
| 1159 | |
---|
| 1160 | # If we have not errors, add statistical errors |
---|
| 1161 | if err is not None and y is not None: |
---|
| 1162 | err = numpy.zeros(len(y)) |
---|
| 1163 | scale = None |
---|
| 1164 | min_err = 0.0 |
---|
| 1165 | for i in range(len(y)): |
---|
| 1166 | # Scale the error so that we can fit over several decades of Q |
---|
| 1167 | if scale == None: |
---|
| 1168 | scale = 0.05 * math.sqrt(y[i]) |
---|
| 1169 | min_err = 0.01 * y[i] |
---|
| 1170 | err[i] = scale * math.sqrt(math.fabs(y[i])) + min_err |
---|
| 1171 | message = "The loaded file had no error bars, " |
---|
| 1172 | message += "statistical errors are assumed." |
---|
| 1173 | wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
| 1174 | |
---|
| 1175 | try: |
---|
| 1176 | # Get the data from the chosen data set and perform inversion |
---|
| 1177 | pr = Invertor() |
---|
| 1178 | pr.d_max = self.max_length |
---|
| 1179 | pr.alpha = self.alpha |
---|
| 1180 | pr.q_min = self.q_min |
---|
| 1181 | pr.q_max = self.q_max |
---|
| 1182 | pr.x = x |
---|
| 1183 | pr.y = y |
---|
| 1184 | pr.err = err |
---|
| 1185 | pr.has_bck = self.has_bck |
---|
| 1186 | pr.slit_height = self.slit_height |
---|
| 1187 | pr.slit_width = self.slit_width |
---|
| 1188 | return pr |
---|
| 1189 | except: |
---|
| 1190 | load_error(sys.exc_value) |
---|
[2a92852] | 1191 | return None |
---|
[f3d51f6] | 1192 | |
---|
| 1193 | def perform_estimate(self): |
---|
[7116b6e0] | 1194 | """ |
---|
| 1195 | """ |
---|
[f3d51f6] | 1196 | from pr_thread import EstimatePr |
---|
| 1197 | from copy import deepcopy |
---|
| 1198 | |
---|
| 1199 | # If a thread is already started, stop it |
---|
[75df58b] | 1200 | if self.estimation_thread != None and \ |
---|
| 1201 | self.estimation_thread.isrunning(): |
---|
[f3d51f6] | 1202 | self.estimation_thread.stop() |
---|
| 1203 | |
---|
| 1204 | pr = self.pr.clone() |
---|
[75df58b] | 1205 | self.estimation_thread = EstimatePr(pr, self.nfunc, |
---|
| 1206 | error_func=self._thread_error, |
---|
| 1207 | completefn = self._estimate_completed, |
---|
[f3d51f6] | 1208 | updatefn = None) |
---|
| 1209 | self.estimation_thread.queue() |
---|
| 1210 | self.estimation_thread.ready(2.5) |
---|
[35adaf6] | 1211 | |
---|
| 1212 | def perform_estimateNT(self): |
---|
[7116b6e0] | 1213 | """ |
---|
| 1214 | """ |
---|
[35adaf6] | 1215 | from pr_thread import EstimateNT |
---|
| 1216 | from copy import deepcopy |
---|
| 1217 | |
---|
| 1218 | # If a thread is already started, stop it |
---|
| 1219 | if self.estimation_thread != None and self.estimation_thread.isrunning(): |
---|
| 1220 | self.estimation_thread.stop() |
---|
| 1221 | |
---|
| 1222 | pr = self.pr.clone() |
---|
[2a92852] | 1223 | # Skip the slit settings for the estimation |
---|
| 1224 | # It slows down the application and it doesn't change the estimates |
---|
| 1225 | pr.slit_height = 0.0 |
---|
| 1226 | pr.slit_width = 0.0 |
---|
[75df58b] | 1227 | self.estimation_thread = EstimateNT(pr, self.nfunc, |
---|
| 1228 | error_func=self._thread_error, |
---|
| 1229 | completefn = self._estimateNT_completed, |
---|
[35adaf6] | 1230 | updatefn = None) |
---|
| 1231 | self.estimation_thread.queue() |
---|
| 1232 | self.estimation_thread.ready(2.5) |
---|
[f3d51f6] | 1233 | |
---|
| 1234 | def perform_inversion(self): |
---|
[7116b6e0] | 1235 | """ |
---|
| 1236 | """ |
---|
[f3d51f6] | 1237 | # Time estimate |
---|
| 1238 | #estimated = self.elapsed*self.nfunc**2 |
---|
[2a92852] | 1239 | #message = "Computation time may take up to %g seconds" % self.elapsed |
---|
| 1240 | #wx.PostEvent(self.parent, StatusEvent(status=message)) |
---|
[f3d51f6] | 1241 | |
---|
| 1242 | # Start inversion thread |
---|
| 1243 | self.start_thread() |
---|
| 1244 | return |
---|
| 1245 | |
---|
| 1246 | out, cov = self.pr.lstsq(self.nfunc) |
---|
| 1247 | |
---|
| 1248 | # Save useful info |
---|
| 1249 | self.elapsed = self.pr.elapsed |
---|
| 1250 | |
---|
| 1251 | for i in range(len(out)): |
---|
| 1252 | try: |
---|
[75df58b] | 1253 | print "%d: %g +- %g" % (i, out[i], |
---|
| 1254 | math.sqrt(math.fabs(cov[i][i]))) |
---|
[f3d51f6] | 1255 | except: |
---|
| 1256 | print "%d: %g +- ?" % (i, out[i]) |
---|
| 1257 | |
---|
| 1258 | # Make a plot of I(q) data |
---|
| 1259 | new_plot = Data1D(self.pr.x, self.pr.y, dy=self.pr.err) |
---|
| 1260 | new_plot.name = "I_{obs}(q)" |
---|
| 1261 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 1262 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
| 1263 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Iq")) |
---|
| 1264 | # Show I(q) fit |
---|
| 1265 | self.show_iq(out, self.pr) |
---|
| 1266 | # Show P(r) fit |
---|
| 1267 | x_values, x_range = self.show_pr(out, self.pr, cov=cov) |
---|
| 1268 | |
---|
| 1269 | def _on_context_inversion(self, event): |
---|
[75df58b] | 1270 | """ |
---|
| 1271 | """ |
---|
[f3d51f6] | 1272 | panel = event.GetEventObject() |
---|
| 1273 | |
---|
| 1274 | # If we have more than one displayed plot, make the user choose |
---|
[75df58b] | 1275 | if len(panel.plots) > 1 and \ |
---|
| 1276 | panel.graph.selected_plottable in panel.plots: |
---|
[aa4b8379] | 1277 | dataset = panel.graph.selected_plottable |
---|
[75df58b] | 1278 | elif len(panel.plots) == 1: |
---|
[f3d51f6] | 1279 | dataset = panel.plots.keys()[0] |
---|
| 1280 | else: |
---|
[75df58b] | 1281 | logging.info("Prview Error: No data is available") |
---|
[f3d51f6] | 1282 | return |
---|
| 1283 | |
---|
| 1284 | # Store a reference to the current plottable |
---|
[3fd1ebc] | 1285 | # If we have a suggested value, use it. |
---|
| 1286 | try: |
---|
| 1287 | estimate = float(self.control_panel.alpha_estimate) |
---|
| 1288 | self.control_panel.alpha = estimate |
---|
| 1289 | except: |
---|
| 1290 | self.control_panel.alpha = self.alpha |
---|
[75df58b] | 1291 | logging.info("Prview :Alpha Not estimate yet") |
---|
[3fd1ebc] | 1292 | pass |
---|
[d6113849] | 1293 | try: |
---|
| 1294 | estimate = int(self.control_panel.nterms_estimate) |
---|
| 1295 | self.control_panel.nfunc = estimate |
---|
| 1296 | except: |
---|
| 1297 | self.control_panel.nfunc = self.nfunc |
---|
[75df58b] | 1298 | logging.info("Prview : ntemrs Not estimate yet") |
---|
[d6113849] | 1299 | pass |
---|
[3fd1ebc] | 1300 | |
---|
[f3d51f6] | 1301 | self.current_plottable = panel.plots[dataset] |
---|
| 1302 | self.control_panel.plotname = dataset |
---|
[d6113849] | 1303 | #self.control_panel.nfunc = self.nfunc |
---|
[f3d51f6] | 1304 | self.control_panel.d_max = self.max_length |
---|
| 1305 | self.parent.set_perspective(self.perspective) |
---|
[aa4b8379] | 1306 | self.control_panel._on_invert(None) |
---|
[f3d51f6] | 1307 | |
---|
| 1308 | def get_panels(self, parent): |
---|
| 1309 | """ |
---|
| 1310 | Create and return a list of panel objects |
---|
| 1311 | """ |
---|
| 1312 | from inversion_panel import InversionControl |
---|
| 1313 | |
---|
| 1314 | self.parent = parent |
---|
[aa4b8379] | 1315 | self.control_panel = InversionControl(self.parent, -1, |
---|
| 1316 | style=wx.RAISED_BORDER, |
---|
| 1317 | standalone=self.standalone) |
---|
[f3d51f6] | 1318 | self.control_panel.set_manager(self) |
---|
| 1319 | self.control_panel.nfunc = self.nfunc |
---|
| 1320 | self.control_panel.d_max = self.max_length |
---|
| 1321 | self.control_panel.alpha = self.alpha |
---|
| 1322 | self.perspective = [] |
---|
| 1323 | self.perspective.append(self.control_panel.window_name) |
---|
[75df58b] | 1324 | |
---|
[f3d51f6] | 1325 | return [self.control_panel] |
---|
| 1326 | |
---|
[e88ebfd] | 1327 | def set_data(self, data_list=None): |
---|
[aa4b8379] | 1328 | """ |
---|
[75df58b] | 1329 | receive a list of data to compute pr |
---|
[aa4b8379] | 1330 | """ |
---|
[a3149c5] | 1331 | if data_list is None: |
---|
| 1332 | data_list = [] |
---|
[e88ebfd] | 1333 | if len(data_list) >= 1: |
---|
| 1334 | if len(data_list) == 1: |
---|
| 1335 | data = data_list[0] |
---|
[75df58b] | 1336 | else: |
---|
[e88ebfd] | 1337 | msg = "Pr panel does not allow multiple Data.\n" |
---|
| 1338 | msg += "Please select one!\n" |
---|
| 1339 | from pr_widgets import DataDialog |
---|
| 1340 | dlg = DataDialog(data_list=data_list, text=msg) |
---|
| 1341 | if dlg.ShowModal() == wx.ID_OK: |
---|
| 1342 | data = dlg.get_data() |
---|
| 1343 | if data is None: |
---|
| 1344 | return |
---|
| 1345 | if issubclass(data.__class__, Data1D): |
---|
| 1346 | try: |
---|
[db4ed82] | 1347 | self.data_id = data.id |
---|
[e88ebfd] | 1348 | self.control_panel._change_file(evt=None, data=data) |
---|
| 1349 | except: |
---|
| 1350 | msg = "Prview Set_data: " + str(sys.exc_value) |
---|
| 1351 | wx.PostEvent(self.parent, StatusEvent(status=msg, |
---|
| 1352 | info="error")) |
---|
| 1353 | else: |
---|
| 1354 | msg = "Pr cannot be computed for data of " |
---|
| 1355 | msg += "type %s" % (data_list[0].__class__.__name__) |
---|
[75a7ece] | 1356 | wx.PostEvent(self.parent, |
---|
[e88ebfd] | 1357 | StatusEvent(status=msg, info='error')) |
---|
[75a7ece] | 1358 | else: |
---|
| 1359 | msg = "Pr contain no data" |
---|
| 1360 | wx.PostEvent(self.parent, StatusEvent(status=msg, info='warning')) |
---|
[75df58b] | 1361 | |
---|
[f3d51f6] | 1362 | def post_init(self): |
---|
| 1363 | """ |
---|
| 1364 | Post initialization call back to close the loose ends |
---|
| 1365 | [Somehow openGL needs this call] |
---|
| 1366 | """ |
---|
[3e41f43] | 1367 | if self.standalone: |
---|
[d2ee6f6] | 1368 | self.parent.set_perspective(self.perspective) |
---|
[35adaf6] | 1369 | |
---|
| 1370 | if __name__ == "__main__": |
---|
| 1371 | i = Plugin() |
---|
| 1372 | print i.perform_estimateNT() |
---|
| 1373 | |
---|
| 1374 | |
---|
| 1375 | |
---|
[660b1e6] | 1376 | |
---|