LMFDB - Embedded 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': 14112, 'analytic_conductor': 75.29763169483971, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [98, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 208663020067201960, 'field_disc_factorization': [[2, 3], [5, 1], [13, 1], [347, 1], [7691, 1], [150359149, 1]], 'field_poly': [1820791991, -3237299, -101802, -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, [25589072475, -79288146, -380676, 266, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396847661154, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 9408, 'hecke_ring_index_factorization': [[2, 6], [3, 1], [7, 2]], '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': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '98.12.a.j', 'level': 98, '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': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.12.c.a', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{5}q^{2}+(-67+\\beta _{1})q^{3}+2^{10}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.12.a', 'trace_display': [128, -266, -7504, 0], 'trace_hash': 271375029165236473, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.755', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '40.631', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '716.046', 'prec': 20}], 'trace_zratio': 0, 'traces': [4, 128, -266, 4096, -7504, -8512, 0, 131072, 123520, -240128, -213026, -272384, -1304856, 0, 1137750, 4194304, -8854244, 3952640, -7232806, -7684096, 0, -6816832, 10649134, -8716288, 119407256, -41755392, 9506098, 0, -110707288, 36408000, -486231270, 134217728, -489871116, -283335808, 0, 126484480, -463131040, -231449792, -493924396, -245891072, -808861704, 0, 1463448176, -218138624, -2871035832, 340772288, 894091254, -278921216, 0, 3821032192, -6950287158, -1336172544, 1448863512, 304195136, -12561674482, 0, 9007365260, -3542633216, -14386900738, 1165056000, -10854402216, -15559400640, 0, 4294967296, -5495584080, -15675875712, -19629545546, -9066745856, -46383539496, 0, 737402464, 4047503360, -21420158732, -14820193280, -63738659600, -7406393344, 0, -15805580672, 60246238086, -7868514304, -100835656724, -25883574528, -69946791152, 0, 54792777296, 46830341632, 77636109684, 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-9069791039218828718, -4529488703183650816, 32392470888784726860, 5730722240708775936, -5811054039391830908, -4739580504761303040, 0, -41313001489654097280, 60708410750543591942, 6224087313767464960, 31236069107366525304, 3664360584146555776, -38000021655355752678, 0, 8960211772618464200, 9602763313811467776, 21799797216811614658, 26835001790786764800], 'weight': 12, 'weight_parity': 1}

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

{'an_normalized': [[1.0, 0.0], [0.7071067811865476, 0.0], [1.2912610212805085, 0.0], [0.5, 0.0], [-1.0495892468620192, 0.0], [0.9130594244293143, 0.0], [0.0, 0.0], [0.3535533905932738, 0.0], [0.6673550250783814, 0.0], [-0.742171673916615, 0.0], [0.09029703702241948, 0.0], [0.6456305106402542, 0.0], [-1.3616711670273964, 0.0], [0.0, 0.0], [-1.3552936828280904, 0.0], [0.25, 0.0], [-1.1471839524824252, 0.0], [0.471891263691842, 0.0], [1.6596941120810564, 0.0], [-0.5247946234310096, 0.0], [0.0, 0.0], [0.06384964719960555, 0.0], [-0.6762997208761932, 0.0], [0.45652971221465716, 0.0], [0.10163758712838064, 0.0], [-0.962846915951272, 0.0], [-0.4295314900411183, 0.0], [0.0, 0.0], [0.21620200525665126, 0.0], [-0.9583373536270328, 0.0], [-0.64615111349268, 0.0], [0.1767766952966369, 0.0], [0.11659704424417326, 0.0], [-0.811181552068709, 0.0], [0.0, 0.0], [0.3336775125391907, 0.0], [-1.2359643464670707, 0.0], [1.173580961347901, 0.0], [-1.7582729017840177, 0.0], [-0.3710858369583075, 0.0], [-1.6965622934971565, 0.0], [0.0, 0.0], [-1.0689592332521538, 0.0], [0.04514851851120974, 0.0], [-0.7004486581616023, 0.0], [-0.4782161187461255, 0.0], [1.0172804633332857, 0.0], [0.3228152553201271, 0.0], [0.0, 0.0], [0.0718686270819165, 0.0], [-1.4813139220790665, 0.0], [-0.6808355835136982, 0.0], [1.5058988449875352, 0.0], [-0.30372462934123673, 0.0], [-0.09477479908223313, 0.0], [0.0, 0.0], [2.1430983141790314, 0.0], [0.1528779040231077, 0.0], [-1.049765629484343, 0.0], [-0.6776468414140452, 0.0], [-0.8839132619905212, 0.0], [-0.45689783402191253, 0.0], [0.0, 0.0], [0.125, 0.0], [1.4291954146740118, 0.0], [0.08244656065136281, 0.0], [1.4101180398375506, 0.0], [-0.5735919762412126, 0.0], [-0.873279468270316, 0.0], [0.0, 0.0], [-0.049311564637721406, 0.0], [0.235945631845921, 0.0], [-0.6222195782456857, 0.0], [-0.873958770691665, 0.0], [0.13124065455587944, 0.0], [0.8298470560405282, 0.0], [0.0, 0.0], [-1.2432866920280274, 0.0], [1.3058369294459464, 0.0], [-0.2623973117155048, 0.0], [-1.2219922955810143, 0.0], [-1.199650702437241, 0.0], [-1.0529453919175078, 0.0], [0.0, 0.0], [1.2040719406982232, 0.0], [-0.7558683226445704, 0.0], [0.2791732221105973, 0.0], [0.031924823599802775, 0.0], [-0.33736839562121185, 0.0], [-0.49529199605908697, 0.0], [0.0, 0.0], [-0.3381498604380966, 0.0], [-0.8343497467100957, 0.0], [0.7193259139915593, 0.0], [-1.7419970931204838, 0.0], [0.22826485610732858, 0.0], [-1.0399844866438719, 0.0], [0.0, 0.0], [0.06026018140660029, 0.0], [0.05081879356419032, 0.0]], 'angles': [None, -0.13829731815282287, -0.3379289400931557, None, -0.24281194668601624, -0.3691915917831888, -0.34722524152343665, -0.09421380509370109, -0.30490053776555914, -0.23276150489710346, -0.30235839964227984, -0.35602480927687985, -0.4111811297329379, -0.33974618659999994, -0.16507417046305156, -0.11431523339694068, -0.3379454298197026, -0.32285774632953024, -0.1254602433974934, -0.2539244873212982, -0.30035034516950065, -0.13677220908124374, -0.33824288175051104, -0.2769759009744665, -0.337032586656789, -0.19952473637668103, -0.22137123526429364, -0.10042742819124502, -0.22764058777180438, -0.22134533540606047, -0.3413010349514489, -0.3895994438710574, -0.2620126517021989, -0.2630641297703282, -0.12773380581607893, -0.25146611106475003, -0.23072551847803854, -0.45365307588438325, -0.2864168834494131, -0.1716732880831557, -0.2615591729001359, -0.14323117377397246, -0.2731693006523215, -0.04423246038453353, -0.23704471246618422, -0.2944992607532535, -0.19398878415793577, -0.22225988302261077, -0.12638666747648794, -0.06910977430627048, -0.2122600980987494, -0.15490756151335544, -0.38589490243131574, -0.37860583038987566, -0.31767743267481574, -0.23581238725581918, -0.21275438147811218, -0.17240823283820234, -0.340341242431679, -0.2114283381952483, -0.27408522639391164, -0.2597615828786146, -0.2935303792386061, -0.3521994499568219, -0.2643640443216212, -0.14416970104423016, -0.25596041919265144, -0.25277001159957135, -0.2462161944441358, -0.21472198022157357, -0.21545646703789878, -0.33411544914919283, -0.18948904976272923, -0.3971427885272902, -0.27739753444229254, -0.21014098337288495, -0.2602868746174438, -0.2302433413717604, -0.17313424364272234, -0.2038382990609075, -0.09929716125641493, -0.24392896610346607, -0.30879005580677454, -0.34193177537193215, -0.324074816374147, -0.2944614646893928, -0.29320368015149895, -0.2600386089449979, -0.3348318215746289, -0.3954410233833189, -0.3859558553670565, -0.24309276233670782, -0.33664102054079176, -0.18083753129222158, -0.2885536492166441, -0.2983923575583175, -0.30269732903731866, -0.20558854229873819, -0.23308982255004626, -0.26684255151472985], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 305.2383579049708, 'hecke_orbit': 10, 'hecke_orbit_code': 40532396847661154, 'label': '98.12.a.j.1.4', 'level': 98, 'weight': 12}

Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	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': [10, 9, 8, 11], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4], 'ALdims_old': [28, 26, 28, 26], 'Nk2': 14112, 'analytic_conductor': 75.29763169483971, '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': [98, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 146, 'dim': 38, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 201326690, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6], 'label': '98.12.a', 'level': 98, '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': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 162, 'mf_new_dim': 38, 'num_forms': 13, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 38, 'sturm_bound': 168, 'trace_bound': 9, 'trace_display': [0, 486, -3874, 0], 'traces': 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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: 46902028
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532396847661154, 'target_is_minimal': False, 'target_label': '98.12.a.j.1.4', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
id: 46902029
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 11, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137640280078, 'target_is_minimal': True, 'target_label': '14.12.c.a.11.1', 'target_level': 14, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 12}
id: 46902030
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49539733541355618, 'target_is_minimal': False, 'target_label': '98.12.c.l.79.4', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 12}
id: 46902031
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 9, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137640280078, 'target_is_minimal': True, 'target_label': '14.12.c.a.9.1', 'target_level': 14, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 12}
id: 46902032
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49539733541355618, 'target_is_minimal': False, 'target_label': '98.12.c.l.67.4', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 12}
id: 46902033
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539596102402146, 'target_is_minimal': False, 'target_label': '98.12.a.l.1.1', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 12}
id: 46902034
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014811027669118, 'target_is_minimal': False, 'target_label': '126.12.g.e.109.2', 'target_level': 126, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 12}
id: 46902035
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 37, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014811027669118, 'target_is_minimal': False, 'target_label': '126.12.g.e.37.2', 'target_level': 126, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 12}
id: 46902036
{'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 65, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 549957140592, 'target_is_minimal': False, 'target_label': '112.12.i.a.65.4', 'target_level': 112, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 12}
id: 46902037
{'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396847661154, 'source_is_minimal': False, 'source_label': '98.12.a.j.1.4', 'source_level': 98, 'target_conrey_index': 81, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 549957140592, 'target_is_minimal': False, 'target_label': '112.12.i.a.81.4', 'target_level': 112, 'twist_class_label': '14.12.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 12}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 291600
{'charpoly_factorization': [[[-32, 1], 4]], 'hecke_orbit_code': 40532396847661154, 'p': 2}
id: 291601
{'charpoly_factorization': [[[25589072475, -79288146, -380676, 266, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 3}
id: 291602
{'charpoly_factorization': [[[4150386687484125, -390857355000, -129204870, 7504, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 5}
id: 291603
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 40532396847661154, 'p': 7}
id: 291604
{'charpoly_factorization': [[[-2901532934568406052925, 86228125389830358, -553116109548, 213026, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 11}
id: 291605
{'charpoly_factorization': [[[4501347212540596575435600, -2785353057713377760, -3826939276440, 1304856, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 13}
id: 291606
{'charpoly_factorization': [[[-220264544461644527712423471, -265604877944776420092, -20304199919082, 8854244, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 17}
id: 291607
{'charpoly_factorization': [[[12715391360714028331214196835, -2195906418995645276942, -367485190850460, 7232806, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 19}
id: 291608
{'charpoly_factorization': [[[508555415020029005558293543503, 6052501367989347965670, -1535130347476968, -10649134, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 23}
id: 291609
{'charpoly_factorization': [[[-373521990088461941886592791216, -56088050562848724823008, -210435713644440, 110707288, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 29}
id: 291610
{'charpoly_factorization': [[[-723249666216748371720279033957945, -6485295120679378387439678, 44683424079721152, 486231270, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 31}
id: 291611
{'charpoly_factorization': [[[-26064230809882253214367305193052483, -211730789544389281915641896, -340577043671243334, 463131040, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 37}
id: 291612
{'charpoly_factorization': [[[-177053051630341431296119720832293296, -1292343095051615128278296736, -1481059151822116440, 808861704, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 41}
id: 291613
{'charpoly_factorization': [[[310412031439486023580035507686713600, 1381830373497989082095944960, -1521286339691442720, -1463448176, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 43}
id: 291614
{'charpoly_factorization': [[[1576214717392448818213216259218132791, 1067135920529360098901052366, -2411541701402873904, -894091254, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 47}
id: 291615
{'charpoly_factorization': [[[-5583399101710313495128742643376805451, 21001756511414402328057768144, -18692231142667957758, -1448863512, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 53}
id: 291616
{'charpoly_factorization': [[[128627397980392290216795286565465368755, 162218469238602908886313968150, 73973736688447874052, 14386900738, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 59}
id: 291617
{'charpoly_factorization': [[[-2905220399155966029541863314012672214459, -1062245686448980304430148555664, -67434714019599170094, 10854402216, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 61}
id: 291618
{'charpoly_factorization': [[[-18484963344626929331403871195221497832229, -4577509468175371776265610276306, -178888852913145449412, 19629545546, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 67}
id: 291619
{'charpoly_factorization': [[[2930510209066294790474696966513663287296, 3377776333570521305881021231104, -709819987014967726272, -737402464, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 71}
id: 291620
{'charpoly_factorization': [[[-6376156292280819779841882548769892916215, -2044583782861477909266363783908, -18413346754282635234, 21420158732, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 73}
id: 291621
{'charpoly_factorization': [[[-27194552445925612453176521125519116266025, -2463345823345555208556168916610, 966440098220701847760, -60246238086, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 79}
id: 291622
{'charpoly_factorization': [[[-47841421674965904327155157805085737507584, -14912715291201228579234338827008, 854073897311816080032, 69946791152, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 83}
id: 291623
{'charpoly_factorization': [[[768883701591852903707633197689615029857161, 110883733351198774126010234607132, 5734588114652335308702, 126354105612, 1], 1]], 'hecke_orbit_code': 40532396847661154, 'p': 89}
id: 291624
{'charpoly_factorization': [[[-180095785663321832734293326038871262548686000, -2836349539025469411447768832204064, 6963941305472990177640, 269091442088, 1], 1]], 'hecke_orbit_code': 40532396847661154, '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': 10, 'label': '98.12.a.j', 'level': 98, 'portrait': 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', 'weight': 12}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 53734927
{'hecke_orbit_code': 40532396847661154, 'n': 1, 'trace_an': 4}
id: 53734928
{'hecke_orbit_code': 40532396847661154, 'n': 2, 'trace_an': 128}
id: 53734929
{'hecke_orbit_code': 40532396847661154, 'n': 3, 'trace_an': -266}
id: 53734930
{'hecke_orbit_code': 40532396847661154, 'n': 4, 'trace_an': 4096}
id: 53734931
{'hecke_orbit_code': 40532396847661154, 'n': 5, 'trace_an': -7504}
id: 53734932
{'hecke_orbit_code': 40532396847661154, 'n': 6, 'trace_an': -8512}
id: 53734933
{'hecke_orbit_code': 40532396847661154, 'n': 7, 'trace_an': 0}
id: 53734934
{'hecke_orbit_code': 40532396847661154, 'n': 8, 'trace_an': 131072}
id: 53734935
{'hecke_orbit_code': 40532396847661154, 'n': 9, 'trace_an': 123520}
id: 53734936
{'hecke_orbit_code': 40532396847661154, 'n': 10, 'trace_an': -240128}
id: 53734937
{'hecke_orbit_code': 40532396847661154, 'n': 11, 'trace_an': -213026}
id: 53734938
{'hecke_orbit_code': 40532396847661154, 'n': 12, 'trace_an': -272384}
id: 53734939
{'hecke_orbit_code': 40532396847661154, 'n': 13, 'trace_an': -1304856}
id: 53734940
{'hecke_orbit_code': 40532396847661154, 'n': 14, 'trace_an': 0}
id: 53734941
{'hecke_orbit_code': 40532396847661154, 'n': 15, 'trace_an': 1137750}
id: 53734942
{'hecke_orbit_code': 40532396847661154, 'n': 16, 'trace_an': 4194304}
id: 53734943
{'hecke_orbit_code': 40532396847661154, 'n': 17, 'trace_an': -8854244}
id: 53734944
{'hecke_orbit_code': 40532396847661154, 'n': 18, 'trace_an': 3952640}
id: 53734945
{'hecke_orbit_code': 40532396847661154, 'n': 19, 'trace_an': -7232806}
id: 53734946
{'hecke_orbit_code': 40532396847661154, 'n': 20, 'trace_an': -7684096}
id: 53734947
{'hecke_orbit_code': 40532396847661154, 'n': 21, 'trace_an': 0}
id: 53734948
{'hecke_orbit_code': 40532396847661154, 'n': 22, 'trace_an': -6816832}
id: 53734949
{'hecke_orbit_code': 40532396847661154, 'n': 23, 'trace_an': 10649134}
id: 53734950
{'hecke_orbit_code': 40532396847661154, 'n': 24, 'trace_an': -8716288}
id: 53734951
{'hecke_orbit_code': 40532396847661154, 'n': 25, 'trace_an': 119407256}
id: 53734952
{'hecke_orbit_code': 40532396847661154, 'n': 26, 'trace_an': -41755392}
id: 53734953
{'hecke_orbit_code': 40532396847661154, 'n': 27, 'trace_an': 9506098}
id: 53734954
{'hecke_orbit_code': 40532396847661154, 'n': 28, 'trace_an': 0}
id: 53734955
{'hecke_orbit_code': 40532396847661154, 'n': 29, 'trace_an': -110707288}
id: 53734956
{'hecke_orbit_code': 40532396847661154, 'n': 30, 'trace_an': 36408000}
id: 53734957
{'hecke_orbit_code': 40532396847661154, 'n': 31, 'trace_an': -486231270}
id: 53734958
{'hecke_orbit_code': 40532396847661154, 'n': 32, 'trace_an': 134217728}
id: 53734959
{'hecke_orbit_code': 40532396847661154, 'n': 33, 'trace_an': -489871116}
id: 53734960
{'hecke_orbit_code': 40532396847661154, 'n': 34, 'trace_an': -283335808}
id: 53734961
{'hecke_orbit_code': 40532396847661154, 'n': 35, 'trace_an': 0}
id: 53734962
{'hecke_orbit_code': 40532396847661154, 'n': 36, 'trace_an': 126484480}
id: 53734963
{'hecke_orbit_code': 40532396847661154, 'n': 37, 'trace_an': -463131040}
id: 53734964
{'hecke_orbit_code': 40532396847661154, 'n': 38, 'trace_an': -231449792}
id: 53734965
{'hecke_orbit_code': 40532396847661154, 'n': 39, 'trace_an': -493924396}
id: 53734966
{'hecke_orbit_code': 40532396847661154, 'n': 40, 'trace_an': -245891072}
id: 53734967
{'hecke_orbit_code': 40532396847661154, 'n': 41, 'trace_an': -808861704}
id: 53734968
{'hecke_orbit_code': 40532396847661154, 'n': 42, 'trace_an': 0}
id: 53734969
{'hecke_orbit_code': 40532396847661154, 'n': 43, 'trace_an': 1463448176}
id: 53734970
{'hecke_orbit_code': 40532396847661154, 'n': 44, 'trace_an': -218138624}
id: 53734971
{'hecke_orbit_code': 40532396847661154, 'n': 45, 'trace_an': -2871035832}
id: 53734972
{'hecke_orbit_code': 40532396847661154, 'n': 46, 'trace_an': 340772288}
id: 53734973
{'hecke_orbit_code': 40532396847661154, 'n': 47, 'trace_an': 894091254}
id: 53734974
{'hecke_orbit_code': 40532396847661154, 'n': 48, 'trace_an': -278921216}
id: 53734975
{'hecke_orbit_code': 40532396847661154, 'n': 49, 'trace_an': 0}
id: 53734976
{'hecke_orbit_code': 40532396847661154, 'n': 50, 'trace_an': 3821032192}
id: 53734977
{'hecke_orbit_code': 40532396847661154, 'n': 51, 'trace_an': -6950287158}
id: 53734978
{'hecke_orbit_code': 40532396847661154, 'n': 52, 'trace_an': -1336172544}
id: 53734979
{'hecke_orbit_code': 40532396847661154, 'n': 53, 'trace_an': 1448863512}
id: 53734980
{'hecke_orbit_code': 40532396847661154, 'n': 54, 'trace_an': 304195136}
id: 53734981
{'hecke_orbit_code': 40532396847661154, 'n': 55, 'trace_an': -12561674482}
id: 53734982
{'hecke_orbit_code': 40532396847661154, 'n': 56, 'trace_an': 0}
id: 53734983
{'hecke_orbit_code': 40532396847661154, 'n': 57, 'trace_an': 9007365260}
id: 53734984
{'hecke_orbit_code': 40532396847661154, 'n': 58, 'trace_an': -3542633216}
id: 53734985
{'hecke_orbit_code': 40532396847661154, 'n': 59, 'trace_an': -14386900738}
id: 53734986
{'hecke_orbit_code': 40532396847661154, 'n': 60, 'trace_an': 1165056000}
id: 53734987
{'hecke_orbit_code': 40532396847661154, 'n': 61, 'trace_an': -10854402216}
id: 53734988
{'hecke_orbit_code': 40532396847661154, 'n': 62, 'trace_an': -15559400640}
id: 53734989
{'hecke_orbit_code': 40532396847661154, 'n': 63, 'trace_an': 0}
id: 53734990
{'hecke_orbit_code': 40532396847661154, 'n': 64, 'trace_an': 4294967296}
id: 53734991
{'hecke_orbit_code': 40532396847661154, 'n': 65, 'trace_an': -5495584080}
id: 53734992
{'hecke_orbit_code': 40532396847661154, 'n': 66, 'trace_an': -15675875712}
id: 53734993
{'hecke_orbit_code': 40532396847661154, 'n': 67, 'trace_an': -19629545546}
id: 53734994
{'hecke_orbit_code': 40532396847661154, 'n': 68, 'trace_an': -9066745856}
id: 53734995
{'hecke_orbit_code': 40532396847661154, 'n': 69, 'trace_an': -46383539496}
id: 53734996
{'hecke_orbit_code': 40532396847661154, 'n': 70, 'trace_an': 0}
id: 53734997
{'hecke_orbit_code': 40532396847661154, 'n': 71, 'trace_an': 737402464}
id: 53734998
{'hecke_orbit_code': 40532396847661154, 'n': 72, 'trace_an': 4047503360}
id: 53734999
{'hecke_orbit_code': 40532396847661154, 'n': 73, 'trace_an': -21420158732}
id: 53735000
{'hecke_orbit_code': 40532396847661154, 'n': 74, 'trace_an': -14820193280}
id: 53735001
{'hecke_orbit_code': 40532396847661154, 'n': 75, 'trace_an': -63738659600}
id: 53735002
{'hecke_orbit_code': 40532396847661154, 'n': 76, 'trace_an': -7406393344}
id: 53735003
{'hecke_orbit_code': 40532396847661154, 'n': 77, 'trace_an': 0}
id: 53735004
{'hecke_orbit_code': 40532396847661154, 'n': 78, 'trace_an': -15805580672}
id: 53735005
{'hecke_orbit_code': 40532396847661154, 'n': 79, 'trace_an': 60246238086}
id: 53735006
{'hecke_orbit_code': 40532396847661154, 'n': 80, 'trace_an': -7868514304}
id: 53735007
{'hecke_orbit_code': 40532396847661154, 'n': 81, 'trace_an': -100835656724}
id: 53735008
{'hecke_orbit_code': 40532396847661154, 'n': 82, 'trace_an': -25883574528}
id: 53735009
{'hecke_orbit_code': 40532396847661154, 'n': 83, 'trace_an': -69946791152}
id: 53735010
{'hecke_orbit_code': 40532396847661154, 'n': 84, 'trace_an': 0}
id: 53735011
{'hecke_orbit_code': 40532396847661154, 'n': 85, 'trace_an': 54792777296}
id: 53735012
{'hecke_orbit_code': 40532396847661154, 'n': 86, 'trace_an': 46830341632}
id: 53735013
{'hecke_orbit_code': 40532396847661154, 'n': 87, 'trace_an': 77636109684}
id: 53735014
{'hecke_orbit_code': 40532396847661154, 'n': 88, 'trace_an': -6980435968}
id: 53735015
{'hecke_orbit_code': 40532396847661154, 'n': 89, 'trace_an': -126354105612}
id: 53735016
{'hecke_orbit_code': 40532396847661154, 'n': 90, 'trace_an': -91873146624}
id: 53735017
{'hecke_orbit_code': 40532396847661154, 'n': 91, 'trace_an': 0}
id: 53735018
{'hecke_orbit_code': 40532396847661154, 'n': 92, 'trace_an': 10904713216}
id: 53735019
{'hecke_orbit_code': 40532396847661154, 'n': 93, 'trace_an': 213975312128}
id: 53735020
{'hecke_orbit_code': 40532396847661154, 'n': 94, 'trace_an': 28610920128}
id: 53735021
{'hecke_orbit_code': 40532396847661154, 'n': 95, 'trace_an': -368499346550}
id: 53735022
{'hecke_orbit_code': 40532396847661154, 'n': 96, 'trace_an': -8925478912}
id: 53735023
{'hecke_orbit_code': 40532396847661154, 'n': 97, 'trace_an': -269091442088}
id: 53735024
{'hecke_orbit_code': 40532396847661154, 'n': 98, 'trace_an': 0}
id: 53735025
{'hecke_orbit_code': 40532396847661154, 'n': 99, 'trace_an': 196707902868}
id: 53735026
{'hecke_orbit_code': 40532396847661154, 'n': 100, 'trace_an': 122273030144}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

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.