def analyze(self):
plots = False
h5_filename = self.output_filename + '.h5'
with tb.open_file(h5_filename, 'r+') as in_file_h5:
raw_data = in_file_h5.root.raw_data[:]
meta_data = in_file_h5.root.meta_data[:]
hit_data = self.dut.interpret_raw_data(raw_data, meta_data)
in_file_h5.createTable(in_file_h5.root, 'hit_data', hit_data, filters=self.filter_tables)
hits = hit_data['col'].astype(np.uint16)
hits = hits * 64
hits = hits + hit_data['row']
value = np.bincount(hits)
value = np.pad(value, (0, 64*64 - value.shape[0]), 'constant')
full_occupation = np.full(4096, 100, dtype=int)
difference = full_occupation - value
tot_diff = abs(np.sum(difference))
if tot_diff<10000: plots=True;
self.not_fired.append(tot_diff)
logging.info('Shmoo plot entry: %s', str(tot_diff))
if plots == True:
occ_plot, H = plotting.plot_occupancy(h5_filename)
tot_plot, _ = plotting.plot_tot_dist(h5_filename)
lv1id_plot, _ = plotting.plot_lv1id_dist(h5_filename)
output_file(self.output_filename + '.html', title=self.run_name)
save(vplot(occ_plot, tot_plot, lv1id_plot))
return H
def analyze(self):
plots = False
h5_filename = self.output_filename + '.h5'
with tb.open_file(h5_filename, 'r+') as in_file_h5:
raw_data = in_file_h5.root.raw_data[:]
meta_data = in_file_h5.root.meta_data[:]
hit_data = self.dut.interpret_raw_data(raw_data, meta_data)
in_file_h5.createTable(in_file_h5.root, 'hit_data', hit_data, filters=self.filter_tables)
hits = hit_data['col'].astype(np.uint16)
hits = hits * 64
hits = hits + hit_data['row']
value = np.bincount(hits)
value = np.pad(value, (0, 64*64 - value.shape[0]), 'constant')
full_occupation = np.full(4096, 100, dtype=int)
difference = full_occupation - value
tot_diff = abs(np.sum(difference))
if tot_diff<400000: plots=True
self.not_fired.append(tot_diff)
logging.info('Shmoo plot entry: %s', str(tot_diff))
if plots == True:
occ_plot, H = plotting.plot_occupancy(h5_filename)
tot_plot, _ = plotting.plot_tot_dist(h5_filename)
lv1id_plot, _ = plotting.plot_lv1id_dist(h5_filename)
output_file(self.output_filename + '.html', title=self.run_name)
save(vplot(occ_plot, tot_plot, lv1id_plot))
return H
def analyze(self):
h5_filename = self.output_filename +'.h5'
with tb.open_file(h5_filename, 'r+') as in_file_h5:
raw_data = in_file_h5.root.raw_data[:]
meta_data = in_file_h5.root.meta_data[:]
hit_data = self.dut.interpret_raw_data(raw_data, meta_data)
in_file_h5.createTable(in_file_h5.root, 'hit_data', hit_data, filters=self.filter_tables)
occ_plot, H = plotting.plot_occupancy(h5_filename)
tot_plot,_ = plotting.plot_tot_dist(h5_filename)
lv1id_plot, _ = plotting.plot_lv1id_dist(h5_filename)
output_file(self.output_filename + '.html', title=self.run_name)
save(vplot(occ_plot, tot_plot, lv1id_plot))
return H
def analyze(self):
h5_filename = self.output_filename +'.h5'
with tb.open_file(h5_filename, 'r+') as in_file_h5:
raw_data = in_file_h5.root.raw_data[:]
meta_data = in_file_h5.root.meta_data[:]
hit_data = self.dut.interpret_raw_data(raw_data, meta_data)
in_file_h5.createTable(in_file_h5.root, 'hit_data', hit_data, filters=self.filter_tables)
status_plot = plotting.plot_status(h5_filename)
occ_plot, H = plotting.plot_occupancy(h5_filename)
tot_plot,_ = plotting.plot_tot_dist(h5_filename)
lv1id_plot, _ = plotting.plot_lv1id_dist(h5_filename)
scan_pix_hist, _ = plotting.scan_pix_hist(h5_filename)
output_file(self.output_filename + '.html', title=self.run_name)
save(vplot(hplot(occ_plot, tot_plot, lv1id_plot), scan_pix_hist, status_plot))
def analyze(self):
h5_filename = self.output_filename +'.h5'
with tb.open_file(h5_filename, 'r+') as in_file_h5:
raw_data = in_file_h5.root.raw_data[:]
meta_data = in_file_h5.root.meta_data[:]
hit_data = self.dut.interpret_raw_data(raw_data, meta_data)
in_file_h5.createTable(in_file_h5.root, 'hit_data', hit_data, filters=self.filter_tables)
analysis.analyze_threshold_scan(h5_filename)
status_plot = plotting.plot_status(h5_filename)
occ_plot, H = plotting.plot_occupancy(h5_filename)
tot_plot,_ = plotting.plot_tot_dist(h5_filename)
lv1id_plot, _ = plotting.plot_lv1id_dist(h5_filename)
scan_pix_hist, _ = plotting.scan_pix_hist(h5_filename)
t_dac = plotting.t_dac_plot(h5_filename)
output_file(self.output_filename + '.html', title=self.run_name)
save(vplot(hplot(occ_plot, tot_plot, lv1id_plot), scan_pix_hist, t_dac, status_plot))
