id	sid	tid	token	lemma	pos
7d278s48t31	1	1	this	this	DET
7d278s48t31	1	2	study	study	NOUN
7d278s48t31	1	3	is	be	AUX
7d278s48t31	1	4	aimed	aim	VERB
7d278s48t31	1	5	at	at	ADP
7d278s48t31	1	6	numerically	numerically	ADV
7d278s48t31	1	7	predicting	predict	VERB
7d278s48t31	1	8	the	the	DET
7d278s48t31	1	9	noise	noise	NOUN
7d278s48t31	1	10	of	of	ADP
7d278s48t31	1	11	rotor	rotor	NOUN
7d278s48t31	1	12	ingesting	ingest	VERB
7d278s48t31	1	13	a	a	DET
7d278s48t31	1	14	thick	thick	ADJ
7d278s48t31	1	15	turbulent	turbulent	ADJ
7d278s48t31	1	16	boundary	boundary	ADJ
7d278s48t31	1	17	layer	layer	NOUN
7d278s48t31	1	18	at	at	ADP
7d278s48t31	1	19	the	the	DET
7d278s48t31	1	20	tail	tail	NOUN
7d278s48t31	1	21	end	end	NOUN
7d278s48t31	1	22	of	of	ADP
7d278s48t31	1	23	an	an	DET
7d278s48t31	1	24	axisymmetric	axisymmetric	ADJ
7d278s48t31	1	25	body	body	NOUN
7d278s48t31	1	26	of	of	ADP
7d278s48t31	1	27	revolution	revolution	NOUN
7d278s48t31	1	28	(	(	PUNCT
7d278s48t31	1	29	bor	bor	PROPN
7d278s48t31	1	30	)	)	PUNCT
7d278s48t31	1	31	and	and	CCONJ
7d278s48t31	1	32	elucidating	elucidate	VERB
7d278s48t31	1	33	the	the	DET
7d278s48t31	1	34	noise	noise	NOUN
7d278s48t31	1	35	source	source	NOUN
7d278s48t31	1	36	mechanisms	mechanism	NOUN
7d278s48t31	1	37	.	.	PUNCT
7d278s48t31	2	1	the	the	DET
7d278s48t31	2	2	bor	bor	NOUN
7d278s48t31	2	3	consists	consist	VERB
7d278s48t31	2	4	of	of	ADP
7d278s48t31	2	5	an	an	DET
7d278s48t31	2	6	ellipsoidal	ellipsoidal	ADJ
7d278s48t31	2	7	nose	nose	NOUN
7d278s48t31	2	8	,	,	PUNCT
7d278s48t31	2	9	a	a	DET
7d278s48t31	2	10	cylindrical	cylindrical	ADJ
7d278s48t31	2	11	centerbody	centerbody	NOUN
7d278s48t31	2	12	and	and	CCONJ
7d278s48t31	2	13	a	a	DET
7d278s48t31	2	14	tail	tail	NOUN
7d278s48t31	2	15	cone	cone	NOUN
7d278s48t31	2	16	with	with	ADP
7d278s48t31	2	17	a	a	DET
7d278s48t31	2	18	half	half	ADJ
7d278s48t31	2	19	-	-	PUNCT
7d278s48t31	2	20	apex	apex	ADJ
7d278s48t31	2	21	angle	angle	NOUN
7d278s48t31	2	22	of	of	ADP
7d278s48t31	2	23	20	20	NUM
7d278s48t31	2	24	degrees	degree	NOUN
7d278s48t31	2	25	,	,	PUNCT
7d278s48t31	2	26	and	and	CCONJ
7d278s48t31	2	27	is	be	AUX
7d278s48t31	2	28	at	at	ADP
7d278s48t31	2	29	reynolds	reynold	NOUN
7d278s48t31	2	30	number	number	NOUN
7d278s48t31	2	31	of	of	ADP
7d278s48t31	2	32	1.9	1.9	NUM
7d278s48t31	2	33	million	million	NUM
7d278s48t31	2	34	based	base	VERB
7d278s48t31	2	35	on	on	ADP
7d278s48t31	2	36	its	its	PRON
7d278s48t31	2	37	length	length	NOUN
7d278s48t31	2	38	.	.	PUNCT
7d278s48t31	3	1	a	a	DET
7d278s48t31	3	2	large	large	ADJ
7d278s48t31	3	3	-	-	PUNCT
7d278s48t31	3	4	eddy	eddy	NOUN
7d278s48t31	3	5	simulation	simulation	NOUN
7d278s48t31	3	6	(	(	PUNCT
7d278s48t31	3	7	les	les	X
7d278s48t31	3	8	)	)	PUNCT
7d278s48t31	3	9	methodology	methodology	NOUN
7d278s48t31	3	10	that	that	PRON
7d278s48t31	3	11	involves	involve	VERB
7d278s48t31	3	12	wall	wall	NOUN
7d278s48t31	3	13	-	-	PUNCT
7d278s48t31	3	14	modeling	modeling	NOUN
7d278s48t31	3	15	in	in	ADP
7d278s48t31	3	16	the	the	DET
7d278s48t31	3	17	nose	nose	NOUN
7d278s48t31	3	18	and	and	CCONJ
7d278s48t31	3	19	centerbody	centerbody	NOUN
7d278s48t31	3	20	sections	section	NOUN
7d278s48t31	3	21	of	of	ADP
7d278s48t31	3	22	the	the	DET
7d278s48t31	3	23	bor	bor	NOUN
7d278s48t31	4	1	but	but	CCONJ
7d278s48t31	4	2	is	be	AUX
7d278s48t31	4	3	wall	wall	NOUN
7d278s48t31	4	4	-	-	PUNCT
7d278s48t31	4	5	resolved	resolve	VERB
7d278s48t31	4	6	in	in	ADP
7d278s48t31	4	7	the	the	DET
7d278s48t31	4	8	tail	tail	NOUN
7d278s48t31	4	9	-	-	PUNCT
7d278s48t31	4	10	cone	cone	NOUN
7d278s48t31	4	11	section	section	NOUN
7d278s48t31	4	12	is	be	AUX
7d278s48t31	4	13	employed	employ	VERB
7d278s48t31	4	14	to	to	PART
7d278s48t31	4	15	compute	compute	VERB
7d278s48t31	4	16	the	the	DET
7d278s48t31	4	17	turbulent	turbulent	ADJ
7d278s48t31	4	18	flow	flow	NOUN
7d278s48t31	4	19	field	field	NOUN
7d278s48t31	4	20	.	.	PUNCT
7d278s48t31	5	1	this	this	DET
7d278s48t31	5	2	approach	approach	NOUN
7d278s48t31	5	3	is	be	AUX
7d278s48t31	5	4	validated	validate	VERB
7d278s48t31	5	5	by	by	ADP
7d278s48t31	5	6	comparisons	comparison	NOUN
7d278s48t31	5	7	of	of	ADP
7d278s48t31	5	8	velocity	velocity	NOUN
7d278s48t31	5	9	statistics	statistic	NOUN
7d278s48t31	5	10	with	with	ADP
7d278s48t31	5	11	the	the	DET
7d278s48t31	5	12	experimental	experimental	ADJ
7d278s48t31	5	13	data	datum	NOUN
7d278s48t31	5	14	from	from	ADP
7d278s48t31	5	15	virginia	virginia	PROPN
7d278s48t31	5	16	tech	tech	PROPN
7d278s48t31	5	17	(	(	PUNCT
7d278s48t31	5	18	hickling	hickle	VERB
7d278s48t31	5	19	et	et	PROPN
7d278s48t31	5	20	al	al	PROPN
7d278s48t31	5	21	.	.	PROPN
7d278s48t31	5	22	,	,	PUNCT
7d278s48t31	5	23	aiaa-2019	aiaa-2019	SPACE
7d278s48t31	5	24	-	-	SYM
7d278s48t31	5	25	2571	2571	NUM
7d278s48t31	5	26	)	)	PUNCT
7d278s48t31	5	27	and	and	CCONJ
7d278s48t31	5	28	the	the	DET
7d278s48t31	5	29	results	result	NOUN
7d278s48t31	5	30	from	from	ADP
7d278s48t31	5	31	a	a	DET
7d278s48t31	5	32	wall	wall	NOUN
7d278s48t31	5	33	-	-	PUNCT
7d278s48t31	5	34	resolved	resolve	VERB
7d278s48t31	5	35	les	les	X
7d278s48t31	5	36	in	in	ADP
7d278s48t31	5	37	a	a	DET
7d278s48t31	5	38	bor	bor	NOUN
7d278s48t31	5	39	flow	flow	NOUN
7d278s48t31	5	40	without	without	ADP
7d278s48t31	5	41	a	a	DET
7d278s48t31	5	42	rotor	rotor	NOUN
7d278s48t31	5	43	.	.	PUNCT
7d278s48t31	6	1	the	the	DET
7d278s48t31	6	2	evolution	evolution	NOUN
7d278s48t31	6	3	of	of	ADP
7d278s48t31	6	4	flow	flow	NOUN
7d278s48t31	6	5	statistics	statistic	NOUN
7d278s48t31	6	6	and	and	CCONJ
7d278s48t31	6	7	structures	structure	NOUN
7d278s48t31	6	8	in	in	ADP
7d278s48t31	6	9	the	the	DET
7d278s48t31	6	10	tail	tail	NOUN
7d278s48t31	6	11	-	-	PUNCT
7d278s48t31	6	12	cone	cone	NOUN
7d278s48t31	6	13	boundary	boundary	ADJ
7d278s48t31	6	14	layer	layer	NOUN
7d278s48t31	6	15	is	be	AUX
7d278s48t31	6	16	analyzed	analyze	VERB
7d278s48t31	6	17	in	in	ADP
7d278s48t31	6	18	detail	detail	NOUN
7d278s48t31	6	19	.	.	PUNCT
7d278s48t31	7	1	the	the	DET
7d278s48t31	7	2	two	two	NUM
7d278s48t31	7	3	-	-	PUNCT
7d278s48t31	7	4	point	point	NOUN
7d278s48t31	7	5	correlations	correlation	NOUN
7d278s48t31	7	6	of	of	ADP
7d278s48t31	7	7	velocity	velocity	NOUN
7d278s48t31	7	8	fluctuations	fluctuation	NOUN
7d278s48t31	7	9	and	and	CCONJ
7d278s48t31	7	10	the	the	DET
7d278s48t31	7	11	pressure	pressure	NOUN
7d278s48t31	7	12	fluctuations	fluctuation	NOUN
7d278s48t31	7	13	on	on	ADP
7d278s48t31	7	14	the	the	DET
7d278s48t31	7	15	tail	tail	NOUN
7d278s48t31	7	16	-	-	PUNCT
7d278s48t31	7	17	cone	cone	NOUN
7d278s48t31	7	18	surface	surface	NOUN
7d278s48t31	7	19	demonstrate	demonstrate	VERB
7d278s48t31	7	20	significant	significant	ADJ
7d278s48t31	7	21	growth	growth	NOUN
7d278s48t31	7	22	of	of	ADP
7d278s48t31	7	23	length	length	NOUN
7d278s48t31	7	24	scales	scale	NOUN
7d278s48t31	7	25	in	in	ADP
7d278s48t31	7	26	the	the	DET
7d278s48t31	7	27	downstream	downstream	ADJ
7d278s48t31	7	28	direction	direction	NOUN
7d278s48t31	7	29	as	as	SCONJ
7d278s48t31	7	30	the	the	DET
7d278s48t31	7	31	boundary	boundary	ADJ
7d278s48t31	7	32	layer	layer	NOUN
7d278s48t31	7	33	thickens	thicken	VERB
7d278s48t31	7	34	under	under	ADP
7d278s48t31	7	35	strong	strong	ADJ
7d278s48t31	7	36	adverse	adverse	ADJ
7d278s48t31	7	37	pressure	pressure	NOUN
7d278s48t31	7	38	gradient.a	gradient.a	VERB
7d278s48t31	7	39	hybrid	hybrid	ADJ
7d278s48t31	7	40	computational	computational	ADJ
7d278s48t31	7	41	approach	approach	NOUN
7d278s48t31	7	42	combining	combine	VERB
7d278s48t31	7	43	the	the	DET
7d278s48t31	7	44	partially	partially	ADV
7d278s48t31	7	45	wall	wall	NOUN
7d278s48t31	7	46	-	-	PUNCT
7d278s48t31	7	47	modeled	model	VERB
7d278s48t31	7	48	les	le	NOUN
7d278s48t31	7	49	with	with	ADP
7d278s48t31	7	50	the	the	DET
7d278s48t31	7	51	ffowcs	ffowcs	PROPN
7d278s48t31	7	52	williams	williams	PROPN
7d278s48t31	7	53	-	-	PUNCT
7d278s48t31	7	54	hawkings	hawkings	PROPN
7d278s48t31	7	55	equation	equation	NOUN
7d278s48t31	7	56	is	be	AUX
7d278s48t31	7	57	employed	employ	VERB
7d278s48t31	7	58	to	to	PART
7d278s48t31	7	59	investigate	investigate	VERB
7d278s48t31	7	60	the	the	DET
7d278s48t31	7	61	noise	noise	NOUN
7d278s48t31	7	62	generation	generation	NOUN
7d278s48t31	7	63	from	from	ADP
7d278s48t31	7	64	a	a	DET
7d278s48t31	7	65	five	five	NUM
7d278s48t31	7	66	-	-	PUNCT
7d278s48t31	7	67	bladed	blade	VERB
7d278s48t31	7	68	rotor	rotor	NOUN
7d278s48t31	7	69	operating	operate	VERB
7d278s48t31	7	70	at	at	ADP
7d278s48t31	7	71	the	the	DET
7d278s48t31	7	72	tail	tail	NOUN
7d278s48t31	7	73	end	end	NOUN
7d278s48t31	7	74	of	of	ADP
7d278s48t31	7	75	the	the	DET
7d278s48t31	7	76	bor	bor	NOUN
7d278s48t31	7	77	.	.	PUNCT
7d278s48t31	8	1	two	two	NUM
7d278s48t31	8	2	rotor	rotor	NOUN
7d278s48t31	8	3	advance	advance	NOUN
7d278s48t31	8	4	ratios	ratio	NOUN
7d278s48t31	8	5	,	,	PUNCT
7d278s48t31	8	6	1.44	1.44	NUM
7d278s48t31	8	7	and	and	CCONJ
7d278s48t31	8	8	1.13	1.13	NUM
7d278s48t31	8	9	,	,	PUNCT
7d278s48t31	8	10	are	be	AUX
7d278s48t31	8	11	considered	consider	VERB
7d278s48t31	8	12	.	.	PUNCT
7d278s48t31	9	1	the	the	DET
7d278s48t31	9	2	computed	computed	ADJ
7d278s48t31	9	3	sound	sound	NOUN
7d278s48t31	9	4	pressure	pressure	NOUN
7d278s48t31	9	5	spectra	spectra	NOUN
7d278s48t31	9	6	exhibit	exhibit	VERB
7d278s48t31	9	7	reasonable	reasonable	ADJ
7d278s48t31	9	8	agreement	agreement	NOUN
7d278s48t31	9	9	with	with	ADP
7d278s48t31	9	10	the	the	DET
7d278s48t31	9	11	experimental	experimental	ADJ
7d278s48t31	9	12	measurements	measurement	NOUN
7d278s48t31	9	13	of	of	ADP
7d278s48t31	9	14	hickling	hickle	VERB
7d278s48t31	9	15	et	et	PROPN
7d278s48t31	9	16	al	al	PROPN
7d278s48t31	9	17	.	.	PUNCT
7d278s48t31	10	1	(	(	PUNCT
7d278s48t31	10	2	aiaa-2019	aiaa-2019	NOUN
7d278s48t31	10	3	-	-	SYM
7d278s48t31	10	4	2571	2571	NUM
7d278s48t31	10	5	)	)	PUNCT
7d278s48t31	11	1	at	at	ADP
7d278s48t31	11	2	free	free	ADJ
7d278s48t31	11	3	-	-	PUNCT
7d278s48t31	11	4	stream	stream	NOUN
7d278s48t31	11	5	mach	mach	NOUN
7d278s48t31	11	6	number	number	NOUN
7d278s48t31	11	7	of	of	ADP
7d278s48t31	11	8	0.059	0.059	NUM
7d278s48t31	11	9	over	over	ADP
7d278s48t31	11	10	a	a	DET
7d278s48t31	11	11	wide	wide	ADJ
7d278s48t31	11	12	range	range	NOUN
7d278s48t31	11	13	of	of	ADP
7d278s48t31	11	14	frequencies	frequency	NOUN
7d278s48t31	11	15	.	.	PUNCT
7d278s48t31	12	1	the	the	DET
7d278s48t31	12	2	spectra	spectra	PROPN
7d278s48t31	12	3	show	show	VERB
7d278s48t31	12	4	broadband	broadband	NOUN
7d278s48t31	12	5	noise	noise	NOUN
7d278s48t31	12	6	with	with	ADP
7d278s48t31	12	7	haystacking	haystacking	NOUN
7d278s48t31	12	8	peaks	peak	NOUN
7d278s48t31	12	9	.	.	PUNCT
7d278s48t31	13	1	consistent	consistent	ADJ
7d278s48t31	13	2	with	with	ADP
7d278s48t31	13	3	experimental	experimental	ADJ
7d278s48t31	13	4	results	result	NOUN
7d278s48t31	13	5	,	,	PUNCT
7d278s48t31	13	6	the	the	DET
7d278s48t31	13	7	frequencies	frequency	NOUN
7d278s48t31	13	8	of	of	ADP
7d278s48t31	13	9	the	the	DET
7d278s48t31	13	10	haystacking	haystacking	NOUN
7d278s48t31	13	11	peaks	peak	NOUN
7d278s48t31	13	12	are	be	AUX
7d278s48t31	13	13	blue	blue	ADJ
7d278s48t31	13	14	-	-	PUNCT
7d278s48t31	13	15	shifted	shift	VERB
7d278s48t31	13	16	by	by	ADP
7d278s48t31	13	17	8	8	NUM
7d278s48t31	13	18	-	-	SYM
7d278s48t31	13	19	12	12	NUM
7d278s48t31	13	20	%	%	NOUN
7d278s48t31	13	21	from	from	ADP
7d278s48t31	13	22	the	the	DET
7d278s48t31	13	23	blade	blade	NOUN
7d278s48t31	13	24	passing	pass	VERB
7d278s48t31	13	25	frequency	frequency	NOUN
7d278s48t31	13	26	and	and	CCONJ
7d278s48t31	13	27	its	its	PRON
7d278s48t31	13	28	first	first	ADJ
7d278s48t31	13	29	three	three	NUM
7d278s48t31	13	30	harmonics	harmonic	NOUN
7d278s48t31	13	31	,	,	PUNCT
7d278s48t31	13	32	and	and	CCONJ
7d278s48t31	13	33	stronger	strong	ADJ
7d278s48t31	13	34	sound	sound	NOUN
7d278s48t31	13	35	is	be	AUX
7d278s48t31	13	36	produced	produce	VERB
7d278s48t31	13	37	as	as	ADP
7d278s48t31	13	38	the	the	DET
7d278s48t31	13	39	advance	advance	NOUN
7d278s48t31	13	40	ratio	ratio	NOUN
7d278s48t31	13	41	decreases	decrease	NOUN
7d278s48t31	13	42	.	.	PUNCT
7d278s48t31	14	1	a	a	DET
7d278s48t31	14	2	mixed	mixed	ADJ
7d278s48t31	14	3	mach	mach	NOUN
7d278s48t31	14	4	number	number	NOUN
7d278s48t31	14	5	scaling	scale	VERB
7d278s48t31	14	6	for	for	ADP
7d278s48t31	14	7	the	the	DET
7d278s48t31	14	8	ingestion	ingestion	NOUN
7d278s48t31	14	9	noise	noise	NOUN
7d278s48t31	14	10	is	be	AUX
7d278s48t31	14	11	identified	identify	VERB
7d278s48t31	14	12	,	,	PUNCT
7d278s48t31	14	13	which	which	PRON
7d278s48t31	14	14	successfully	successfully	ADV
7d278s48t31	14	15	collapses	collapse	VERB
7d278s48t31	14	16	the	the	DET
7d278s48t31	14	17	sound	sound	ADJ
7d278s48t31	14	18	pressure	pressure	NOUN
7d278s48t31	14	19	spectra	spectra	NOUN
7d278s48t31	14	20	for	for	ADP
7d278s48t31	14	21	the	the	DET
7d278s48t31	14	22	two	two	NUM
7d278s48t31	14	23	advance	advance	NOUN
7d278s48t31	14	24	ratios	ratio	NOUN
7d278s48t31	14	25	.	.	PUNCT
7d278s48t31	15	1	an	an	DET
7d278s48t31	15	2	examination	examination	NOUN
7d278s48t31	15	3	of	of	ADP
7d278s48t31	15	4	acoustic	acoustic	ADJ
7d278s48t31	15	5	dipole	dipole	NOUN
7d278s48t31	15	6	-	-	PUNCT
7d278s48t31	15	7	source	source	NOUN
7d278s48t31	15	8	distributions	distribution	NOUN
7d278s48t31	15	9	on	on	ADP
7d278s48t31	15	10	rotor	rotor	NOUN
7d278s48t31	15	11	blades	blade	NOUN
7d278s48t31	15	12	reveals	reveal	VERB
7d278s48t31	15	13	that	that	SCONJ
7d278s48t31	15	14	the	the	DET
7d278s48t31	15	15	leading	leading	ADJ
7d278s48t31	15	16	-	-	PUNCT
7d278s48t31	15	17	edge	edge	NOUN
7d278s48t31	15	18	region	region	NOUN
7d278s48t31	15	19	is	be	AUX
7d278s48t31	15	20	acoustically	acoustically	ADV
7d278s48t31	15	21	more	more	ADV
7d278s48t31	15	22	important	important	ADJ
7d278s48t31	15	23	at	at	ADP
7d278s48t31	15	24	low	low	ADJ
7d278s48t31	15	25	frequencies	frequency	NOUN
7d278s48t31	15	26	,	,	PUNCT
7d278s48t31	15	27	whereas	whereas	SCONJ
7d278s48t31	15	28	the	the	DET
7d278s48t31	15	29	trailing	trail	VERB
7d278s48t31	15	30	-	-	PUNCT
7d278s48t31	15	31	edge	edge	NOUN
7d278s48t31	15	32	region	region	NOUN
7d278s48t31	15	33	become	become	VERB
7d278s48t31	15	34	dominant	dominant	ADJ
7d278s48t31	15	35	at	at	ADP
7d278s48t31	15	36	high	high	ADJ
7d278s48t31	15	37	frequencies	frequency	NOUN
7d278s48t31	15	38	.	.	PUNCT
7d278s48t31	16	1	large	large	ADJ
7d278s48t31	16	2	correlations	correlation	NOUN
7d278s48t31	16	3	are	be	AUX
7d278s48t31	16	4	found	find	VERB
7d278s48t31	16	5	between	between	ADP
7d278s48t31	16	6	sectional	sectional	ADJ
7d278s48t31	16	7	dipole	dipole	NOUN
7d278s48t31	16	8	sources	source	NOUN
7d278s48t31	16	9	on	on	ADP
7d278s48t31	16	10	neighboring	neighboring	NOUN
7d278s48t31	16	11	blades	blade	NOUN
7d278s48t31	16	12	,	,	PUNCT
7d278s48t31	16	13	and	and	CCONJ
7d278s48t31	16	14	the	the	DET
7d278s48t31	16	15	corresponding	correspond	VERB
7d278s48t31	16	16	blade	blade	NOUN
7d278s48t31	16	17	-	-	PUNCT
7d278s48t31	16	18	to	to	ADP
7d278s48t31	16	19	-	-	PUNCT
7d278s48t31	16	20	blade	blade	NOUN
7d278s48t31	16	21	coherence	coherence	NOUN
7d278s48t31	16	22	is	be	AUX
7d278s48t31	16	23	significant	significant	ADJ
7d278s48t31	16	24	at	at	ADP
7d278s48t31	16	25	the	the	DET
7d278s48t31	16	26	frequencies	frequency	NOUN
7d278s48t31	16	27	of	of	ADP
7d278s48t31	16	28	haystacking	haystacking	NOUN
7d278s48t31	16	29	peaks	peak	NOUN
7d278s48t31	16	30	and	and	CCONJ
7d278s48t31	16	31	valleys	valley	NOUN
7d278s48t31	16	32	between	between	ADP
7d278s48t31	16	33	these	these	DET
7d278s48t31	16	34	peaks	peak	NOUN
7d278s48t31	16	35	.	.	PUNCT
7d278s48t31	17	1	the	the	DET
7d278s48t31	17	2	blade	blade	NOUN
7d278s48t31	17	3	-	-	PUNCT
7d278s48t31	17	4	to	to	ADP
7d278s48t31	17	5	-	-	PUNCT
7d278s48t31	17	6	blade	blade	NOUN
7d278s48t31	17	7	correlations	correlation	NOUN
7d278s48t31	17	8	and	and	CCONJ
7d278s48t31	17	9	coherence	coherence	NOUN
7d278s48t31	17	10	are	be	AUX
7d278s48t31	17	11	related	relate	VERB
7d278s48t31	17	12	to	to	ADP
7d278s48t31	17	13	successive	successive	ADJ
7d278s48t31	17	14	blades	blade	NOUN
7d278s48t31	17	15	cutting	cut	VERB
7d278s48t31	17	16	through	through	ADP
7d278s48t31	17	17	the	the	DET
7d278s48t31	17	18	same	same	ADJ
7d278s48t31	17	19	coherent	coherent	ADJ
7d278s48t31	17	20	turbulence	turbulence	NOUN
7d278s48t31	17	21	structure	structure	NOUN
7d278s48t31	17	22	and	and	CCONJ
7d278s48t31	17	23	are	be	AUX
7d278s48t31	17	24	the	the	DET
7d278s48t31	17	25	source	source	NOUN
7d278s48t31	17	26	of	of	ADP
7d278s48t31	17	27	haystacking	haystacke	VERB
7d278s48t31	17	28	acoustic	acoustic	ADJ
7d278s48t31	17	29	peaks	peak	NOUN
7d278s48t31	17	30	.	.	PUNCT
7d278s48t31	18	1	the	the	DET
7d278s48t31	18	2	accuracy	accuracy	NOUN
7d278s48t31	18	3	of	of	ADP
7d278s48t31	18	4	the	the	DET
7d278s48t31	18	5	sears	sears	PROPN
7d278s48t31	18	6	theory	theory	NOUN
7d278s48t31	18	7	for	for	ADP
7d278s48t31	18	8	predicting	predict	VERB
7d278s48t31	18	9	the	the	DET
7d278s48t31	18	10	rotor	rotor	NOUN
7d278s48t31	18	11	noise	noise	NOUN
7d278s48t31	18	12	is	be	AUX
7d278s48t31	18	13	evaluated	evaluate	VERB
7d278s48t31	18	14	using	use	VERB
7d278s48t31	18	15	the	the	DET
7d278s48t31	18	16	upwash	upwash	ADJ
7d278s48t31	18	17	velocity	velocity	NOUN
7d278s48t31	18	18	field	field	NOUN
7d278s48t31	18	19	from	from	ADP
7d278s48t31	18	20	the	the	DET
7d278s48t31	18	21	les	les	X
7d278s48t31	18	22	.	.	PUNCT
7d278s48t31	19	1	the	the	DET
7d278s48t31	19	2	sears	sears	PROPN
7d278s48t31	19	3	theory	theory	NOUN
7d278s48t31	19	4	accurately	accurately	ADV
7d278s48t31	19	5	predicts	predict	VERB
7d278s48t31	19	6	the	the	DET
7d278s48t31	19	7	haystacking	haystacking	NOUN
7d278s48t31	19	8	peaks	peak	NOUN
7d278s48t31	19	9	in	in	ADP
7d278s48t31	19	10	the	the	DET
7d278s48t31	19	11	sound	sound	ADJ
7d278s48t31	19	12	pressure	pressure	NOUN
7d278s48t31	19	13	spectra	spectra	ADJ
7d278s48t31	19	14	,	,	PUNCT
7d278s48t31	19	15	but	but	CCONJ
7d278s48t31	19	16	the	the	DET
7d278s48t31	19	17	accuracy	accuracy	NOUN
7d278s48t31	19	18	deteriorates	deteriorate	VERB
7d278s48t31	19	19	at	at	ADP
7d278s48t31	19	20	higher	high	ADJ
7d278s48t31	19	21	frequencies	frequency	NOUN
7d278s48t31	19	22	.	.	PUNCT