LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2025-01-28T13:10:18.294797

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': 21168, 'analytic_conductor': 78.05952693759484, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [7, 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': [1323, 1, [785, 1081], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 8, 'field_disc': 24940747816960000, 'field_disc_factorization': [[2, 20], [5, 4], [31, 2], [199, 2]], 'field_poly': [3136, 0, -4176, 0, 887, 0, -54, 0, 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': 1, 'hecke_cutters': [[2, [3136, 0, -4176, 0, 887, 0, -54, 0, 1]], [5, [86285521, 0, -7017984, 0, 108362, 0, -576, 0, 1]], [13, [-932864, -100608, 8328, -168, 1]]], 'hecke_orbit': 39, 'hecke_orbit_code': 171136785907189035, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 7, 'hecke_ring_index_factorization': [[7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1323.4.a.bm', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '1323.4.a.bl', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(6-\\beta _{2}+\\beta _{4})q^{4}+(\\beta _{1}+\\beta _{3}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1323.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 249542934621247216, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.073', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.130', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '274.131', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15731.975', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.511', 'prec': 17}, 'traces': [8, 0, 0, 44, 0, 0, 0, 0, 0, 132, 0, 0, 336, 0, 0, 204, 0, 0, -288, 0, 0, 484, 0, 0, 152, 0, 0, 0, 0, 0, 120, 0, 0, 1008, 0, 0, 592, 0, 0, 1620, 0, 0, -1872, 0, 0, -1644, 0, 0, 0, 0, 0, 2400, 0, 0, 1344, 0, 0, -1200, 0, 0, 2400, 0, 0, -1388, 0, 0, 0, 0, 0, 0, 0, 0, 1824, 0, 0, 2844, 0, 0, 2368, 0, 0, 2436, 0, 0, 3512, 0, 0, 3780, 0, 0, 0, 0, 0, 4368, 0, 0, 5712, 0, 0, -528, 0, 0, -5400, 0, 0, 4840, 0, 0, -1656, 0, 0, 0, 0, 0, 6888, 0, 0, 1752, 0, 0, -920, 0, 0, -6804, 0, 0, -6640, 0, 0, 2624, 0, 0, 0, 0, 0, 20616, 0, 0, 3888, 0, 0, 372, 0, 0, 5568, 0, 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Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

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-0.15011527644150094, -0.31347347509347295, -0.23332144704964086, -0.2767431762764306, -0.15382097718756865, -0.24939250914587366, -0.16276624526484948, -0.19315829081212682, -0.20234822191187077, -0.17062701268857347, -0.27156111311545916, -0.13526023455224398, -0.2492803399892172, -0.12909906929692552, -0.10831896530757544, -0.25016555255235917, -0.3350719954358343, -0.2337815319755437, -0.26686698176877854, -0.2614210119004221, -0.20941720248023799, -0.34214876714970804, -0.21836335795581727, -0.18386832406136808, -0.3961988883938228, -0.23394497798523017, -0.29289627876380925, -0.1983409704582253, -0.27749405868985516, -0.3231553990309584, -0.3423608111239304, -0.26983858581980563, -0.2404433685499028, -0.2302698641005627, -0.32873169689601867, -0.278422972786739, -0.21782493882793863, -0.2407743203148996, -0.2801885018811453, -0.1534287791227746, -0.2636230290772282, -0.2957968201762276, -0.2679571797276061, -0.25428290149827437, -0.2247591509506829, -0.33982134719105206, 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-0.36425513071010557, -0.18510240612207055, -0.30830734007510985, -0.3714249675060672, -0.12201786383413135, -0.38480398144912364, -0.2662743179435494, -0.4393569138728632, -0.2603320515042113, -0.22525191231261638, -0.4233400249902107, -0.16623239924329647, -0.07190781992523994, -0.22564893118593846, -0.3383526682777402, -0.05746226710019382, -0.31813000243650846, -0.2449344829913885, -0.2022289539850936, -0.06730823403844671, -0.3333678350778947, -0.26737423244426756, -0.24919323830379028, -0.23736906118414944, -0.17394369011223373, -0.22116878496027825, -0.22353567735572918, -0.0693406624485712, -0.24833501351954304, -0.34110885991699597, -0.18144303579645346, -0.2550437147928935, -0.30357503629594035, -0.2244664637889701, -0.23850193596036748, -0.1531536253818777, -0.1059232487709806, -0.267765844529303, -0.2801944921850088, -0.3895833880737137, -0.23453576504017493, -0.39774353538456386, -0.08145983679665306, -0.2937162111366946, -0.22996287638691187, -0.17206577116763805, -0.2856565844758503, -0.19908570714157842, -0.16928353614573619, -0.3683629995306372, -0.3935823169599409, -0.17786131251849288, -0.32124455319329737, -0.3754636719219979, -0.10190035065550321, -0.11088995097206825, -0.3431134550542207, -0.40748426534051785, -0.1227003085655523, -0.14981589133265694, -0.16835928217759205, -0.18627753433966843, -0.22019947355907002, -0.3684869562176658], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.672905985036818, 'hecke_orbit': 39, 'hecke_orbit_code': 171136785907189035, 'label': '1323.4.a.bm.1.2', 'level': 1323, 'weight': 4}

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': [41, 40, 39, 44], 'Nk2': 21168, 'analytic_conductor': 78.05952693759484, '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': [1323, 1, [785, 1081], [1, 1]], 'conrey_index': 1, 'cusp_dim': 480, 'dim': 164, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 67110187, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 12, 12], 'label': '1323.4.a', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 528, 'mf_new_dim': 164, 'num_forms': 43, 'plus_dim': 85, 'prim_orbit_index': 1, 'relative_dim': 164, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [164, 0, 0, 662, 0, 0, 0, 0, 0, -30, 0, 0, -2, 0, 0, 2810, 0, 0, -62, 0, 0, -270, 0, 0, 4202, 0, 0, 0, 0, 0, 406, 0, 0, -204, 0, 0, -338, 0, 0, -1266, 0, 0, 592, 0, 0, -1224, 0, 0, 0, 0, 0, 220, 0, 0, 1122, 0, 0, 300, 0, 0, 2410, 0, 0, 12302, 0, 0, 1222, 0, 0, 0, 0, 0, 1540, 0, 0, 2128, 0, 0, -2486, 0, 0, 1104, 0, 0, -720, 0, 0, -8730, 0, 0, 0, 0, 0, 1704, 0, 0, -3056, 0, 0, 15740, 0, 0, -5606, 0, 0, 510, 0, 0, 1096, 0, 0, 0, 0, 0, -6660, 0, 0, 3900, 0, 0, 22898, 0, 0, 18382, 0, 0, -12038, 0, 0, 17724, 0, 0, 0, 0, 0, 8328, 0, 0, -6662, 0, 0, 36, 0, 0, -6780, 0, 0, -6332, 0, 0, -3068, 0, 0, 0, 0, 0, 6172, 0, 0, -18786, 0, 0, -10142, 0, 0, -2730, 0, 0, 27090, 0, 0, 10744, 0, 0, 0, 0, 0, -9588, 0, 0, 4102, 0, 0, -6864, 0, 0, 18816, 0, 0, 11568, 0, 0, 1384, 0, 0, 0, 0, 0, -12992, 0, 0, -11118, 0, 0, 36780, 0, 0, -7640, 0, 0, -5594, 0, 0, -5874, 0, 0, 0, 0, 0, 17802, 0, 0, -19736, 0, 0, -39420, 0, 0, -9536, 0, 0, 32784, 0, 0, 5388, 0, 0, 0, 0, 0, -3182, 0, 0, 66628, 0, 0, -17110, 0, 0, 11214, 0, 0, 16716, 0, 0, 49250, 0, 0, 0, 0, 0, 33786, 0, 0, 34050, 0, 0, 29032, 0, 0, -8936, 0, 0, -1020, 0, 0, -15020, 0, 0, 0, 0, 0, 8284, 0, 0, -93816, 0, 0, 33788, 0, 0, -9206, 0, 0, 39252, 0, 0, 54222, 0, 0, 0, 0, 0, 13492, 0, 0, 45856, 0, 0, 726, 0, 0, 35104, 0, 0, -94892, 0, 0, 2160, 0, 0, 0, 0, 0, 32866, 0, 0, 9876, 0, 0, 18838, 0, 0, -33672, 0, 0, -41558, 0, 0, -63024, 0, 0, 0, 0, 0, -51138, 0, 0, -62858, 0, 0, -141486, 0, 0, 20280, 0, 0, 6126, 0, 0, 75570, 0, 0, 0, 0, 0, -38192, 0, 0, 50496, 0, 0, -58166, 0, 0, -12972, 0, 0, -53918, 0, 0, -40968, 0, 0, 0, 0, 0, 23710, 0, 0, 20472, 0, 0, 110634, 0, 0, -9692, 0, 0, 137360, 0, 0, -56992, 0, 0, 0, 0, 0, 16576, 0, 0, -185516, 0, 0, -104970, 0, 0, 8436, 0, 0, 15718, 0, 0, -24570, 0, 0, 0, 0, 0, -49440, 0, 0, 103330, 0, 0, -44276, 0, 0, 5446, 0, 0, -165060, 0, 0, -152748, 0, 0, 0, 0, 0, -25452, 0, 0, 84840, 0, 0, -24626, 0, 0, -58476, 0, 0, -114416, 0, 0, -135852, 0, 0, 0, 0, 0, -25080, 0, 0, -143030, 0, 0, 19344, 0, 0, 53426, 0, 0, 242348, 0, 0, 57874, 0, 0, 0, 0, 0, 37560, 0, 0, 233782, 0, 0, -8456, 0, 0, 9780, 0, 0, -79494, 0, 0, 4750, 0, 0, 0, 0, 0, 68424, 0, 0, -17508, 0, 0, 423948, 0, 0, -75506, 0, 0, 23544, 0, 0, 46412, 0, 0, 0, 0, 0, -4998, 0, 0, -182160, 0, 0, -137306, 0, 0, 61824, 0, 0, -145982, 0, 0, 164040, 0, 0, 0, 0, 0, -186740, 0, 0, 133376, 0, 0, -107436, 0, 0, 28596, 0, 0, -84048, 0, 0, -7106, 0, 0, 0, 0, 0, -98954, 0, 0, 62700, 0, 0, 38802, 0, 0, -52776, 0, 0, 39656, 0, 0, -2840, 0, 0, 0, 0, 0, 93960, 0, 0, -196706, 0, 0, -159410, 0, 0, -46022, 0, 0, 273084, 0, 0, 129226, 0, 0, 0, 0, 0, -58298, 0, 0, 153384, 0, 0, 181328, 0, 0, 139624, 0, 0, 18016, 0, 0, 73614, 0, 0, 0, 0, 0, 178038, 0, 0, 47728, 0, 0, 56112, 0, 0, 6360, 0, 0, 20740, 0, 0, -121818, 0, 0, 0, 0, 0, 51286, 0, 0, -146070, 0, 0, -112920, 0, 0, -137004, 0, 0, 198904, 0, 0, -115206, 0, 0, 0, 0, 0, 128778, 0, 0, 191532, 0, 0, -27608, 0, 0, 75448, 0, 0, -293166, 0, 0, 142584, 0, 0, 0, 0, 0, -22, 0, 0, 36888, 0, 0, 269818, 0, 0, -194820, 0, 0, -87312, 0, 0, -276012, 0, 0, 0, 0, 0, -232388, 0, 0, -163526, 0, 0, 50478, 0, 0, 25096, 0, 0, -161424, 0, 0, 131548, 0, 0, 0, 0, 0, -174138, 0, 0, 205200, 0, 0, 228460, 0, 0, 94248, 0, 0, 9142, 0, 0, 150120, 0, 0, 0, 0, 0, 62196, 0, 0, 66784, 0, 0, -572798, 0, 0, -103784, 0, 0, -390330, 0, 0, -88368, 0, 0, 0, 0, 0, 177622, 0, 0, -264972, 0, 0, -62086, 0, 0, -310670, 0, 0, 278808, 0, 0, -153996, 0, 0, 0, 0, 0, -205014, 0, 0, 56644, 0, 0, -509856, 0, 0, 52184, 0, 0, 85308, 0, 0, -32720, 0, 0, 0, 0, 0, -17390, 0, 0, -30320, 0, 0, 219900, 0, 0, 154188, 0, 0, 150980, 0, 0, -524924, 0, 0, 0, 0, 0, -94392, 0, 0, 51838, 0, 0, -120534, 0, 0, -29294, 0, 0, -193980, 0, 0, 1878, 0, 0, 0, 0, 0, 209966, 0, 0, 31104, 0, 0, 44314, 0, 0, 381954, 0, 0, 206254, 0, 0, -30648, 0, 0, 0, 0, 0, 234088, 0, 0, 31422, 0, 0, 84852, 0, 0, -150144, 0, 0, -311568, 0, 0, -99266, 0, 0, 0, 0, 0, 9246, 0, 0, -214148, 0, 0, -14018, 0, 0, 17346, 0, 0, 232078, 0, 0, 132924, 0, 0, 0, 0, 0, -252894, 0, 0, 163972, 0, 0, -350304, 0, 0, 273792, 0, 0, -247800, 0, 0, -111262, 0, 0, 0, 0, 0, -361080, 0, 0, -86280, 0, 0, 157626, 0, 0, -84224, 0, 0, -12404, 0, 0, 334638, 0, 0, 0, 0, 0, 293704, 0, 0, -206436, 0, 0, -317442, 0, 0, -79830, 0, 0, 148448, 0, 0, 155632, 0, 0, 0, 0, 0, -31316, 0, 0, -112110], 'weight': 4, 'weight_parity': 1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 48916492
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785907189035, 'source_is_minimal': True, 'source_label': '1323.4.a.bm.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 171136785907189035, 'target_is_minimal': True, 'target_label': '1323.4.a.bm.1.2', 'target_level': 1323, 'twist_class_label': '1323.4.a.bl.1.2', 'twist_class_level': 1323, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
id: 48916493
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785907189035, 'source_is_minimal': True, 'source_label': '1323.4.a.bm.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 171136785907189035, 'target_is_minimal': True, 'target_label': '1323.4.a.bm.1.7', 'target_level': 1323, 'twist_class_label': '1323.4.a.bl.1.2', 'twist_class_level': 1323, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
id: 48916494
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785907189035, 'source_is_minimal': True, 'source_label': '1323.4.a.bm.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186279818539, 'target_is_minimal': True, 'target_label': '1323.4.a.bl.1.2', 'target_level': 1323, 'twist_class_label': '1323.4.a.bl.1.2', 'twist_class_level': 1323, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
id: 48916495
{'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785907189035, 'source_is_minimal': True, 'source_label': '1323.4.a.bm.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 166633186279818539, 'target_is_minimal': True, 'target_label': '1323.4.a.bl.1.7', 'target_level': 1323, 'twist_class_label': '1323.4.a.bl.1.2', 'twist_class_level': 1323, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 1864350
{'charpoly_factorization': [[[3136, 0, -4176, 0, 887, 0, -54, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 2}
id: 1864351
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 171136785907189035, 'p': 3}
id: 1864352
{'charpoly_factorization': [[[86285521, 0, -7017984, 0, 108362, 0, -576, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 5}
id: 1864353
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 171136785907189035, 'p': 7}
id: 1864354
{'charpoly_factorization': [[[625681, 0, -99184576, 0, 3382602, 0, -4864, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 11}
id: 1864355
{'charpoly_factorization': [[[-932864, -100608, 8328, -168, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 13}
id: 1864356
{'charpoly_factorization': [[[4750191908916496, 0, -2440195256416, 0, 446403912, 0, -34984, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 17}
id: 1864357
{'charpoly_factorization': [[[-53761631, -2133648, -12550, 144, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 19}
id: 1864358
{'charpoly_factorization': [[[12845835686559841, 0, -8133034324272, 0, 1170324314, 0, -59568, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 23}
id: 1864359
{'charpoly_factorization': [[[500136004002267136, 0, -88834470217728, 0, 5109434048, 0, -120048, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 29}
id: 1864360
{'charpoly_factorization': [[[-21279671, -2743500, -46914, -60, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 31}
id: 1864361
{'charpoly_factorization': [[[-2024956199, 50121976, -157998, -296, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 37}
id: 1864362
{'charpoly_factorization': [[[20871571942860961, 0, -17338640107216, 0, 3986561562, 0, -163024, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 41}
id: 1864363
{'charpoly_factorization': [[[-1639683644, 18774576, 272156, 936, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 43}
id: 1864364
{'charpoly_factorization': [[[6959359740525304336, 0, -894867974440448, 0, 26869110504, 0, -291392, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 47}
id: 1864365
{'charpoly_factorization': [[[192920687827845376, 0, -1388754829067008, 0, 60793140768, 0, -626128, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 53}
id: 1864366
{'charpoly_factorization': [[[1604394139531542359056, 0, -61975433916191616, 0, 441113676776, 0, -1140576, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 59}
id: 1864367
{'charpoly_factorization': [[[451950064, -26279520, 342064, -1200, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 61}
id: 1864368
{'charpoly_factorization': [[[-798350336, -24675840, -179656, 0, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 67}
id: 1864369
{'charpoly_factorization': [[[671712512711975974561, 0, -26437943441572656, 0, 270178178522, 0, -952944, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 71}
id: 1864370
{'charpoly_factorization': [[[-33168592604, 506732832, -514236, -912, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 73}
id: 1864371
{'charpoly_factorization': [[[898048804, -47444032, 423980, -1184, 1], 2]], 'hecke_orbit_code': 171136785907189035, 'p': 79}
id: 1864372
{'charpoly_factorization': [[[454837824476561510656, 0, -20408770447509504, 0, 210140987552, 0, -794496, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 83}
id: 1864373
{'charpoly_factorization': [[[613827127044363260171521, 0, -2921794318053809104, 0, 5040071588922, 0, -3730576, 0, 1], 1]], 'hecke_orbit_code': 171136785907189035, 'p': 89}
id: 1864374
{'charpoly_factorization': [[[-356770409984, 103416576, 2154192, -2856, 1], 2]], 'hecke_orbit_code': 171136785907189035, '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': 39, 'label': '1323.4.a.bm', 'level': 1323, 'portrait': 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', 'weight': 4}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 70380571
{'hecke_orbit_code': 171136785907189035, 'n': 1, 'trace_an': 8}
id: 70380572
{'hecke_orbit_code': 171136785907189035, 'n': 2, 'trace_an': 0}
id: 70380573
{'hecke_orbit_code': 171136785907189035, 'n': 3, 'trace_an': 0}
id: 70380574
{'hecke_orbit_code': 171136785907189035, 'n': 4, 'trace_an': 44}
id: 70380575
{'hecke_orbit_code': 171136785907189035, 'n': 5, 'trace_an': 0}
id: 70380576
{'hecke_orbit_code': 171136785907189035, 'n': 6, 'trace_an': 0}
id: 70380577
{'hecke_orbit_code': 171136785907189035, 'n': 7, 'trace_an': 0}
id: 70380578
{'hecke_orbit_code': 171136785907189035, 'n': 8, 'trace_an': 0}
id: 70380579
{'hecke_orbit_code': 171136785907189035, 'n': 9, 'trace_an': 0}
id: 70380580
{'hecke_orbit_code': 171136785907189035, 'n': 10, 'trace_an': 132}
id: 70380581
{'hecke_orbit_code': 171136785907189035, 'n': 11, 'trace_an': 0}
id: 70380582
{'hecke_orbit_code': 171136785907189035, 'n': 12, 'trace_an': 0}
id: 70380583
{'hecke_orbit_code': 171136785907189035, 'n': 13, 'trace_an': 336}
id: 70380584
{'hecke_orbit_code': 171136785907189035, 'n': 14, 'trace_an': 0}
id: 70380585
{'hecke_orbit_code': 171136785907189035, 'n': 15, 'trace_an': 0}
id: 70380586
{'hecke_orbit_code': 171136785907189035, 'n': 16, 'trace_an': 204}
id: 70380587
{'hecke_orbit_code': 171136785907189035, 'n': 17, 'trace_an': 0}
id: 70380588
{'hecke_orbit_code': 171136785907189035, 'n': 18, 'trace_an': 0}
id: 70380589
{'hecke_orbit_code': 171136785907189035, 'n': 19, 'trace_an': -288}
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{'hecke_orbit_code': 171136785907189035, 'n': 773, 'trace_an': 0}
id: 70380796
{'hecke_orbit_code': 171136785907189035, 'n': 787, 'trace_an': 41856}
id: 70380797
{'hecke_orbit_code': 171136785907189035, 'n': 797, 'trace_an': 0}
id: 70380798
{'hecke_orbit_code': 171136785907189035, 'n': 809, 'trace_an': 0}
id: 70380799
{'hecke_orbit_code': 171136785907189035, 'n': 811, 'trace_an': -7896}
id: 70380800
{'hecke_orbit_code': 171136785907189035, 'n': 821, 'trace_an': 0}
id: 70380801
{'hecke_orbit_code': 171136785907189035, 'n': 823, 'trace_an': 15824}
id: 70380802
{'hecke_orbit_code': 171136785907189035, 'n': 827, 'trace_an': 0}
id: 70380803
{'hecke_orbit_code': 171136785907189035, 'n': 829, 'trace_an': 39264}
id: 70380804
{'hecke_orbit_code': 171136785907189035, 'n': 839, 'trace_an': 0}
id: 70380805
{'hecke_orbit_code': 171136785907189035, 'n': 841, 'trace_an': 44984}
id: 70380806
{'hecke_orbit_code': 171136785907189035, 'n': 853, 'trace_an': 67056}
id: 70380807
{'hecke_orbit_code': 171136785907189035, 'n': 857, 'trace_an': 0}
id: 70380808
{'hecke_orbit_code': 171136785907189035, 'n': 859, 'trace_an': -28416}
id: 70380809
{'hecke_orbit_code': 171136785907189035, 'n': 863, 'trace_an': 0}
id: 70380810
{'hecke_orbit_code': 171136785907189035, 'n': 877, 'trace_an': -74928}
id: 70380811
{'hecke_orbit_code': 171136785907189035, 'n': 881, 'trace_an': 0}
id: 70380812
{'hecke_orbit_code': 171136785907189035, 'n': 883, 'trace_an': 73792}
id: 70380813
{'hecke_orbit_code': 171136785907189035, 'n': 887, 'trace_an': 0}
id: 70380814
{'hecke_orbit_code': 171136785907189035, 'n': 907, 'trace_an': 67792}
id: 70380815
{'hecke_orbit_code': 171136785907189035, 'n': 911, 'trace_an': 0}
id: 70380816
{'hecke_orbit_code': 171136785907189035, 'n': 919, 'trace_an': 64240}
id: 70380817
{'hecke_orbit_code': 171136785907189035, 'n': 929, 'trace_an': 0}
id: 70380818
{'hecke_orbit_code': 171136785907189035, 'n': 937, 'trace_an': 112416}
id: 70380819
{'hecke_orbit_code': 171136785907189035, 'n': 941, 'trace_an': 0}
id: 70380820
{'hecke_orbit_code': 171136785907189035, 'n': 947, 'trace_an': 0}
id: 70380821
{'hecke_orbit_code': 171136785907189035, 'n': 953, 'trace_an': 0}
id: 70380822
{'hecke_orbit_code': 171136785907189035, 'n': 961, 'trace_an': -43472}
id: 70380823
{'hecke_orbit_code': 171136785907189035, 'n': 967, 'trace_an': 46880}
id: 70380824
{'hecke_orbit_code': 171136785907189035, 'n': 971, 'trace_an': 0}
id: 70380825
{'hecke_orbit_code': 171136785907189035, 'n': 977, 'trace_an': 0}
id: 70380826
{'hecke_orbit_code': 171136785907189035, 'n': 983, 'trace_an': 0}
id: 70380827
{'hecke_orbit_code': 171136785907189035, 'n': 991, 'trace_an': -98656}
id: 70380828
{'hecke_orbit_code': 171136785907189035, 'n': 997, 'trace_an': 236688}

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.