Closed roshan-koirala closed 2 years ago
This may be related to #500, although it is hard to know without knowing whether you are using the object oriented (e.g. using Party.lag_calc
or Family.lag_calc
methods) or the lag_calc
function directly.
Thanks.
I first created event catalog
, then constructed tribe
, detected events using tribe.detect
and finally did party.lag_calc
as below.
event = Event( origins=[Origin(
latitude = origin.latitude, longitude=origin.longitude, depth=origin.depth,
time = UTCDateTime(origin.time))], magnitudes=[Magnitude(mag= 1)],
picks=[Pick(time= UTCDateTime(2017, 9, 19, 14, 1, 53, 4118), phase_hint = "P",
waveform_id=WaveformStreamID( network_code="", station_code="BM09", channel_code="EHZ")), + 5 more picks ])
catalog = Catalog([event])
tribe = Tribe().construct(
method="from_meta_file", meta_file=catalog, st=st.copy(), lowcut=10.0, highcut=100.0,
samp_rate = 250, length=2, filt_order=4, prepick=0.5, swin='all',
process_len=process_len, parallel=True, ignore_bad_data=True, clip=True)
party = tribe.detect(stream=st, threshold=7, daylong=True, threshold_type="MAD",
trig_int=5.0, plot=False, return_stream=False,
parallel_process=True, export_cccsums=True)
repicked_catalog = party.lag_calc(stm, pre_processed=False, shift_len=0.5,
min_cc=0.7, plot=True, plotdir=plt_dir)
I would highly appreciate further comments.
Thanks for that. This is possibly related to #500 - In the interim while I get that bug fix out you can either edit your source code directly to match the change here, or use a longer shift-len of ~1s to see if that helps you get the same pick time.
I assume that the pick you mentioned in your initial comment is not the pick you provided in the code block given that they are at different times?
Another short comment - using a template of 2s and a prepick of 0.5s will only give you 1.5s of signal. At 250 Hz this is still a robust length of samples, but you might consider using a shorter prepick to reduce the noise in your templates that will affect your correlations.
Thanks a lot. Yes, this is a different trace here. Do you think 0.2 sec is a good prepick ? I will try the solutions you recommended. Best,
I haven't done extensive testing of varying prepick, but I would usually go with a prepick that is at least twice your pick uncertainty. 0.2s might be a good value. You might want to test a few different prepicks and see what gives you the best results for your dataset.
You might also want to reduce the trig_int in detect - with such short templates you should be able to robustly redetect more frequently (at least every 2s).
Closed by #500
The original pick time of a template is
2017-09-19T14:01:53.3703Z
, and the pick time afterlag_calc
is2017-09-19T14:01:53.008Z
. I haveprepick = 0.5
. Ideally, my new pick should be2017-09-19T14:01:53.008Z + 0.5 sec
if I am not wrong. But this will not be the same as my original template time. What is causing this? Is this due to theshift_len
inlag_calc
? I haveshift_len
of0.5
. Thanks.