LMFDB - Newform data

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Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_largest	boolean
is_maximal	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 2560, 'analytic_conductor': 14.26935050999204, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 239569, 'field_disc_factorization': [[11, 1], [29, 1], [751, 1]], 'field_poly': [-59892, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-23106816, 1844, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799150546954, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 20, 'hecke_ring_index_factorization': [[2, 2], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '10.16.a.d', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.16.a.d', 'nf_label': '2.2.239569.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{7}q^{2}+(-922-\\beta )q^{3}+2^{14}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.16.a', 'trace_display': [256, -1844, 156250, -984932], 'trace_hash': 2189003928865665278, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.251', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.953', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.246', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.576', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 256, -1844, 32768, 156250, -236032, -984932, 4194304, 20916154, 20000000, 111552144, -30212096, 289313596, -126071296, -144062500, 536870912, 1421739348, 2677267712, 6159406120, 2560000000, 21175644704, 14278674432, -4330165884, -3867148288, 12207031250, 37032140288, -81178356680, -16137125888, -164295941940, -18440000000, -282710965016, 68719476736, -678104159568, 181982636544, -76947812500, 342690267136, 790105159228, 788403983360, -1634590297912, 327680000000, -374717265276, 2710482522112, -923824433204, 1827670327296, 1634074531250, -554261233152, 4796717212428, -494994980864, -436909177374, 1562500000000, -1954230185256, 4740113956864, -2768921292084, -10390829655040, 8715011250000, -2065552113664, -12145610545840, -21029880568320, -20737233989880, -2360320000000, 577887725164, 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Column	Type
an	jsonb
ap	jsonb
char_orbit_index	smallint
field_poly	numeric[]
hecke_orbit_code	bigint
hecke_ring_character_values	jsonb
hecke_ring_cyclotomic_generator	integer
hecke_ring_denominators	numeric[]
hecke_ring_inverse_denominators	numeric[]
hecke_ring_inverse_numerators	numeric[]
hecke_ring_numerators	numeric[]
hecke_ring_power_basis	boolean
hecke_ring_rank	integer
label	text
level	integer
maxp	integer
weight	smallint

mf_hecke_nf • Show schema

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[1297722042712873496970, 4613694648906764700], [-22872230918803776900046, 1488298933307687940], [-9873080410530310719258, 1773944193132078912], [2732148853981276519074, -2982351167526931695], [8739136240026247044138, -3356084908707724368], [9951459903454612671614, 4023254536952643585], [12917998450160189041152, 5117786397302424570], [8262993705489061364874, -2041696851940148508], [15806125926313492731858, 2343199745943463527], [50273328592292134802852, -160222247133688170], [23024973400575532994054, -3383719007502845916]], 'char_orbit_index': 1, 'field_poly': [-59892, -1, 1], 'hecke_orbit_code': 13510799150546954, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 20], 'hecke_ring_inverse_numerators': [[1, 0], [10, 1]], 'hecke_ring_numerators': [[1, 0], [-10, 20]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '10.16.a.d', 'level': 10, 'maxp': 997, 'weight': 16}

Column	Type
ALdims	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'ALdims': [1, 1, 1, 2], 'Nk2': 2560, 'analytic_conductor': 14.26935050999204, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 21, 'dim': 5, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 268435466, 'hecke_orbit_dims': [1, 1, 1, 2], 'label': '10.16.a', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 25, 'mf_new_dim': 5, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 5, 'sturm_bound': 24, 'trace_bound': 3, 'trace_display': [128, -9632, 78125, 535804], 'traces': [5, 128, -9632, 81920, 78125, 427520, 535804, 2097152, 11409985, 10000000, -21143940, -157810688, 744201478, -343946240, 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Column	Type
conductor	integer
degree	integer
multiplicity	smallint
order	integer
parity	smallint
self_twist_disc	integer
source_char_orbit	smallint
source_dim	integer
source_hecke_orbit	integer
source_is_minimal	boolean
source_label	text
source_level	integer
target_char_orbit	smallint
target_dim	integer
target_hecke_orbit	integer
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_char_orbit	smallint
weight	smallint

mf_twists_nf • Show schema

id: 6833
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.16.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '10.16.a.d', 'target_level': 10, 'twist_class_label': '10.16.a.d', 'twist_class_level': 10, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
id: 6834
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.16.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '50.16.a.f', 'target_level': 50, 'twist_class_label': '10.16.a.d', 'twist_class_level': 10, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 6835
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.16.a.d', 'source_level': 10, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '50.16.b.e', 'target_level': 50, 'twist_class_label': '10.16.a.d', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 16}
id: 6836
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.16.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '80.16.a.f', 'target_level': 80, 'twist_class_label': '10.16.a.d', 'twist_class_level': 10, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
id: 6837
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '10.16.a.d', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '90.16.a.j', 'target_level': 90, 'twist_class_label': '10.16.a.d', 'twist_class_level': 10, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 44550
{'charpoly_factorization': [[[-128, 1], 2]], 'hecke_orbit_code': 13510799150546954, 'p': 2}
id: 44551
{'charpoly_factorization': [[[-23106816, 1844, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 3}
id: 44552
{'charpoly_factorization': [[[-78125, 1], 2]], 'hecke_orbit_code': 13510799150546954, 'p': 5}
id: 44553
{'charpoly_factorization': [[[-4044061398944, 984932, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 7}
id: 44554
{'charpoly_factorization': [[[-342274048299216, -111552144, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 11}
id: 44555
{'charpoly_factorization': [[[1400995907515204, -289313596, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 13}
id: 44556
{'charpoly_factorization': [[[501015996408896676, -1421739348, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 17}
id: 44557
{'charpoly_factorization': [[[9048189265293221200, -6159406120, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 19}
id: 44558
{'charpoly_factorization': [[[-644164075359164533536, 4330165884, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 23}
id: 44559
{'charpoly_factorization': [[[-2879455179474409412700, 164295941940, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 29}
id: 44560
{'charpoly_factorization': [[[-797723179916956833536, 282710965016, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 31}
id: 44561
{'charpoly_factorization': [[[71462341419490379083396, -790105159228, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 37}
id: 44562
{'charpoly_factorization': [[[-1167360323281819158026556, 374717265276, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 41}
id: 44563
{'charpoly_factorization': [[[210857252616207892998304, 923824433204, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 43}
id: 44564
{'charpoly_factorization': [[[-2246943552179929465178304, -4796717212428, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 47}
id: 44565
{'charpoly_factorization': [[[-154725026577300895950631836, 2768921292084, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 53}
id: 44566
{'charpoly_factorization': [[[-272180784828149434099522800, 20737233989880, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 59}
id: 44567
{'charpoly_factorization': [[[-234493976562805125437035676, -577887725164, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 61}
id: 44568
{'charpoly_factorization': [[[1412037117310833844857050656, -86553258077668, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 67}
id: 44569
{'charpoly_factorization': [[[-8927171415476056295031960576, -73838906689464, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 71}
id: 44570
{'charpoly_factorization': [[[-5627939089185084825475176956, -39973727021476, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 73}
id: 44571
{'charpoly_factorization': [[[43825513506750233897148313600, -421665304874800, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 79}
id: 44572
{'charpoly_factorization': [[[127211380563052619825858725824, 721146660038964, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 83}
id: 44573
{'charpoly_factorization': [[[-99113083013680022802539367900, -363712836623220, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 89}
id: 44574
{'charpoly_factorization': [[[-85882079633717518192084031324, -289030099396948, 1], 1]], 'hecke_orbit_code': 13510799150546954, 'p': 97}

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 1, 'hecke_orbit': 4, 'label': '10.16.a.d', 'level': 10, 'portrait': 'data:image/png;base64,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', 'weight': 16}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 35608105
{'hecke_orbit_code': 13510799150546954, 'n': 1, 'trace_an': 2}
id: 35608106
{'hecke_orbit_code': 13510799150546954, 'n': 2, 'trace_an': 256}
id: 35608107
{'hecke_orbit_code': 13510799150546954, 'n': 3, 'trace_an': -1844}
id: 35608108
{'hecke_orbit_code': 13510799150546954, 'n': 4, 'trace_an': 32768}
id: 35608109
{'hecke_orbit_code': 13510799150546954, 'n': 5, 'trace_an': 156250}
id: 35608110
{'hecke_orbit_code': 13510799150546954, 'n': 6, 'trace_an': -236032}
id: 35608111
{'hecke_orbit_code': 13510799150546954, 'n': 7, 'trace_an': -984932}
id: 35608112
{'hecke_orbit_code': 13510799150546954, 'n': 8, 'trace_an': 4194304}
id: 35608113
{'hecke_orbit_code': 13510799150546954, 'n': 9, 'trace_an': 20916154}
id: 35608114
{'hecke_orbit_code': 13510799150546954, 'n': 10, 'trace_an': 20000000}
id: 35608115
{'hecke_orbit_code': 13510799150546954, 'n': 11, 'trace_an': 111552144}
id: 35608116
{'hecke_orbit_code': 13510799150546954, 'n': 12, 'trace_an': -30212096}
id: 35608117
{'hecke_orbit_code': 13510799150546954, 'n': 13, 'trace_an': 289313596}
id: 35608118
{'hecke_orbit_code': 13510799150546954, 'n': 14, 'trace_an': -126071296}
id: 35608119
{'hecke_orbit_code': 13510799150546954, 'n': 15, 'trace_an': -144062500}
id: 35608120
{'hecke_orbit_code': 13510799150546954, 'n': 16, 'trace_an': 536870912}
id: 35608121
{'hecke_orbit_code': 13510799150546954, 'n': 17, 'trace_an': 1421739348}
id: 35608122
{'hecke_orbit_code': 13510799150546954, 'n': 18, 'trace_an': 2677267712}
id: 35608123
{'hecke_orbit_code': 13510799150546954, 'n': 19, 'trace_an': 6159406120}
id: 35608124
{'hecke_orbit_code': 13510799150546954, 'n': 20, 'trace_an': 2560000000}
id: 35608125
{'hecke_orbit_code': 13510799150546954, 'n': 21, 'trace_an': 21175644704}
id: 35608126
{'hecke_orbit_code': 13510799150546954, 'n': 22, 'trace_an': 14278674432}
id: 35608127
{'hecke_orbit_code': 13510799150546954, 'n': 23, 'trace_an': -4330165884}
id: 35608128
{'hecke_orbit_code': 13510799150546954, 'n': 24, 'trace_an': -3867148288}
id: 35608129
{'hecke_orbit_code': 13510799150546954, 'n': 25, 'trace_an': 12207031250}
id: 35608130
{'hecke_orbit_code': 13510799150546954, 'n': 26, 'trace_an': 37032140288}
id: 35608131
{'hecke_orbit_code': 13510799150546954, 'n': 27, 'trace_an': -81178356680}
id: 35608132
{'hecke_orbit_code': 13510799150546954, 'n': 28, 'trace_an': -16137125888}
id: 35608133
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id: 35608361
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Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
Higher genus families
Abelian varieties over $\F_{q}$

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.