LMFDB - Newform data

Formats: - HTML - YAML - JSON - 2026-10-08T00:18:19.220753

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': 1520, 'analytic_conductor': 5.605181450545358, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [19, -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': [95, 1, [77, 21], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': 0, 'hecke_cutters': [[2, [0, 1]], [3, [-4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 67108959, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], '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': '95.4.a.a', 'level': 95, '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': [5, 19], 'level_radical': 95, 'minimal_twist': '95.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{3}-8q^{4}-5q^{5}-22q^{7}-11q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '95.4.a', 'trace_display': [0, 4, -5, -22], 'trace_hash': 1150545382472525037, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.002', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '1.986', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.862', 'prec': 14}], 'trace_zratio': 0, 'traces': [1, 0, 4, -8, -5, 0, -22, 0, -11, 0, -12, -32, 8, 0, -20, 64, -66, 0, 19, 40, -88, 0, -30, 0, 25, 0, -152, 176, -6, 0, -64, 0, -48, 0, 110, 88, -16, 0, 32, 0, 54, 0, 182, 96, 55, 0, 594, 256, 141, 0, -264, -64, 396, 0, 60, 0, 76, 0, -564, 160, -706, 0, 242, -512, -40, 0, -628, 528, -120, 0, -984, 0, 14, 0, 100, -152, 264, 0, -328, -320, -311, 0, -294, 704, 330, 0, -24, 0, 918, 0, -176, 240, -256, 0, -95, 0, -1564, 0, 132, -200, -294, 0, 752, 0, 440, 0, -216, 1216, -754, 0, -64, -1408, -12, 0, 150, 48, -88, 0, 1452, 0, -1187, 0, 216, 512, -125, 0, 344, 0, 728, 0, 2520, 384, -418, 0, 760, 0, 654, 0, -2392, -880, 2376, 0, -96, -704, 30, 0, 564, 128, -1266, 0, 3080, 0, 726, 0, 320, -256, 1838, 0, 1584, 0, 660, 0, -850, -432, 240, 0, 3804, 0, -2133, 0, -209, -1456, -564, 0, -550, -768, -2256, 0, -1812, -440, -4498, 0, -2824, 0, 80, 0, 792, -4752, 3344, 0, 3588, -2048, -4492, 0, -160, -1128, 2466, 0, 824, 0, -2512, 0, 132, 2112, -270, 0, 330, 512, -228, 0, 4244, -3168, -3936, 0, -910, 0, 1408, 0, 56, -480, -528, 0, 5480, 0, -275, 0, 5544, -608, 2930, 0, 1056, 0, -4398, 0, -2970, 4512, -1312, 0, -6480, -1280, -5770, 0, 2860, 5648, -705, 0, 152, 0, -1176, 0, -624, -1936, 360, 0, 1320, 4096, 120, 0, 352, 320, 66, 0, 1842, 0, -1980, 0, 3672, 5024, -3234, 0, 4664, -4224, -704, 0, -300, 960, 5222, 0, 704, 0, 7566, 0, -5614, 7872, -380, 0, -1188, 0, -557, 0, -6256, -112, 924, 0, 2820, 0, 1824, 0, -240, -800, -4004, 0, -1176, 1216, 3530, 0, -4480, -2112, 3008, 0, 1272, 0, 1370, 0, -1210, 2624, 3552, 0, 72, 2560, -864, 0, -1254, 2488, 200, 0, -3016, 0, -13068, 0, 4532, 2352, 176, 0, 3140, -5632, -10036, 0, -48, -2640, 768, 0, 4444, 0, 600, 0, -2178, 192, -10042, 0, -1216, 0, 6102, 0, 4920, -7344, 5808, 0, -1140, 0, 361, 0, -4748, 1408, -70, 0, -5614, -1920, -594, 0, -8712, 2048, -3652, 0, -500, 0, -48, 0, -316, 760, 1376, 0, -8844, 0, -1320, 0, -2002, 12512, -7230, 0, 1980, 0, 10080, 0, 1640, -1056, 3446, 0, -1672, 1600, -14478, 0, -512, 2352, 1555, 0, 192, 0, 9074, 0, 2616, -6016, 12408, 0, 1470, 0, -9568, 0, -7068, -3520, -7342, 0, -6534, 0, -1650, 0, 15532, 1728, -384, 0, 2976, -9728, 3476, 0, 120, 6032, -570, 0, 6200, 0, -1551, 0, 16026, 512, -4590, 0, -5064, 11264, -1830, 0, -648, 96, 12320, 0, 880, 0, 12986, 0, 10032, -1200, -10506, 0, 1562, -384, 1280, 0, 6, 704, 13816, 0, 7352, 0, -2184, 0, 475, -11616, -4356, 0, 3132, 0, -128, 0, 2640, 9496, 7820, 0, -12436, 0, -3400, 0, -7848, -1728, 396, 0, -660, -4096, 21648, 0, 17720, 1000, 15216, 0, -5094, 0, 1470, 0, -8532, -2752, -5670, 0, -308, 0, -2888, 0, -3760, -5824, -7128, 0, -2256, 0, -20670, 0, -16816, -20160, -2200, 0, 4224, -3072, -11267, 0, 6204, 3344, 432, 0, 1080, 0, -7248, 0, -1692, -6080, 9530, 0, -17992, 0, 3770, 0, 5264, -5232, 7766, 0, -114, 0, 7216, 0, 320, 19136, 16542, 0, 1456, 7040, 3168, 0, -5232, -19008, 60, 0, 6842, 0, 15114, 0, -11764, 768, 14352, 0, -750, 5632, -25198, 0, -17968, -240, 6468, 0, -4752, 0, 440, 0, 20190, -4512, -1216, 0, 9864, -1024, -2886, 0, -7260, 10128, 3296, 0, -4464, 0, -15874, 0, 6908, -24640, 5935, 0, -18916, 0, 528, 0, 4752, -5808, -3058, 0, -1080, 0, 4158, 0, -22864, -2560, 4560, 0, -20196, 2048, 625, 0, -912, -14704, 1056, 0, 18536, 0, 16976, 0, -1720, -12672, 1128, 0, 10824, 0, 15630, 0, -27574, -5280, -3640, 0, -8826, 0, 6768, 0, 5632, 6800, 18678, 0, -12600, 3456, -154, 0, 16980, -1920, -9358, 0, -2112, 0, 2090, 0, 180, -30432, 21920, 0, 8472, 0, -16120, 0, -3800, 17064, 27876, 0, 34408, 0, 22176, 0, -4872, 1672, -3270, 0, 11720, 11648, 3168, 0, 13412, 4512, -2904, 0, 11960, 0, -3564, 0, -17592, 4400, 1926, 0, -304, 6144, -11880, 0, 6468, 18048, 17534, 0, 3608, 0, 1920, 0, 480, 14496, -25920, 0, -11220, 3520, -16544, 0, -23080, 35984, -150, 0, -25078, 0, 19837, 0, -12012, 22592, 434, 0, -2820, 0, 7536, 0, 2564, -640, 608, 0, 21948, 0, 6330, 0, 3234, -6336, 4752, 0, -7648, 38016, -2496, 0, -15400, -26752, -30190, 0, 1440, 0, -1242, 0, 16588, -28704, -3630, 0, -4512, 16384, -28738, 0, 480, 35936, -40128, 0, -1600, 0, 1408, 0, 1026, 1280, 11808, 0, 912, 9024, -9190, 0, -15448, -19728, 7368, 0, 264, 0, -5648, 0, -7920, -6592, -27324, 0, -39204, 0, -10098, 0, -168, 20096, -3300, 0, -12936, 0, -17766, 0, -7396, -1056, 18656, 0, 4250, -16896, 3458, 0, 1936, 2160, 26898, 0, -24442, 0, -1200, 0, 13524, -2640, -7714, 0, 20888, -4096, -9306, 0, -19020, 1824, 9728, 0, -16248, 0, -24353, 0, 30264, -33952, 10665, 0, 26114, 25344, -22456, 0, 480, 31488, 35498, 0, 1045, 0, -40344, 0, 31484, 7280, -4752, 0, -28836, 0, 2820, 0, -2228, -11264, 3936, 0, -5024, 0, 17204, 0, 2750, -448, 22796, 0, 3696, 3840, -18822, 0, 7526, 4224, 11280, 0, 33816, 0, -7568, 0, 3732, -43840, 11286, 0, 9060, 0, -960, 0, 384, 2200, -26136, 0, -16016, 0, 22490, 0, -33784, -44352, 3234, 0, -15216, 4864, 3528, 0, 14120, -23440, -55440, 0, 19760, 0, -17920, 0, -7872, -8448, -400, 0, -8272, 0, 16278, 0, 2679, 35184, 5088, 0, -3960, 0, -6994, 0, 5480, 23760, 32502, 0, -1620, -36096, -16720, 0, 50358, 10496, 112, 0, 14208, 0, 39816, 0, -17940, 51840, 288, 0, -14388, 10240, -25695, 0, 2376, 46160, 22460, 0, 590, 0, -5016, 0, 26820, -22880, 52624, 0, 800, -45184, -33312, 0, -11016, 5640, 8294, 0, 612, 0, -12330, 0, -52272, -1216, -5460, 0, 39416, 0, 18128, 0, -4120, 9408, 36614, 0, 2432, 0], 'weight': 4, 'weight_parity': 1}

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

{'an': [[1], [0], [4], [-8], [-5], [0], [-22], [0], [-11], [0], [-12], [-32], [8], [0], [-20], [64], [-66], [0], [19], [40], [-88], [0], [-30], [0], [25], [0], [-152], [176], [-6], [0], [-64], [0], [-48], [0], [110], [88], [-16], [0], [32], [0], [54], [0], [182], [96], [55], [0], [594], [256], [141], [0], [-264], [-64], [396], [0], [60], [0], [76], [0], [-564], [160], [-706], [0], [242], [-512], [-40], [0], [-628], [528], [-120], [0], [-984], [0], [14], [0], [100], [-152], [264], [0], [-328], [-320], [-311], [0], [-294], [704], [330], [0], [-24], [0], [918], [0], [-176], [240], [-256], [0], [-95], [0], [-1564], [0], [132], [-200]], 'ap': [[0], [4], [-5], [-22], [-12], [8], [-66], [19], [-30], [-6], [-64], [-16], [54], [182], [594], [396], [-564], [-706], [-628], [-984], [14], [-328], [-294], [918], [-1564], [-294], [752], [-216], [-754], [-12], [344], [2520], [654], [-2392], [-1266], [3080], [1838], [-850], [3804], [-564], [-1812], [-4498], [3588], [-4492], [2466], [824], [4244], [5480], [5544], [2930], [-4398], [-6480], [-5770], [-624], [120], [1842], [-3234], [4664], [5222], [7566], [-5614], [924], [-4480], [1272], [1370], [3552], [4532], [-10036], [-2178], [-10042], [6102], [-1140], [-5614], [-3652], [-316], [-8844], [-7230], [3446], [-14478], [9074], [-7068], [-7342], [2976], [3476], [6200], [16026], [-1830], [12986], [-10506], [1562], [6], [3132], [-12436], [-7848], [17720], [-5094], [-5670], [-20670], [-16816], [9530], [5264], [16542], [-5232], [15114], [-11764], [-25198], [20190], [-2886], [-4464], [-15874], [-18916], [-3058], [4158], [-22864], [18536], [15630], [-27574], [-8826], [18678], [16980], [-9358], [-16120], [27876], [-4872], [13412], [1926], [17534], [-11220], [-25078], [434], [2564], [21948], [-7648], [-30190], [-1242], [-28738], [-40128], [-15448], [-27324], [-17766], [-7396], [26898], [-24442], [13524], [-7714], [-16248], [35498], [-40344], [31484], [-28836], [22796], [-18822], [7526], [33816], [-33784], [-15216], [19760], [16278], [-6994], [32502], [50358], [39816], [590], [26820], [-33312], [612], [39416], [36614]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 67108959, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '95.4.a.a', 'level': 95, 'maxp': 997, 'weight': 4}

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': [6, 2, 3, 7], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [4, 2, 3, 1], 'Nk2': 1520, 'analytic_conductor': 5.605181450545358, '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': [95, 1, [77, 21], [1, 1]], 'conrey_index': 1, 'cusp_dim': 28, 'dim': 18, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 67108959, 'hecke_orbit_dims': [1, 1, 1, 1, 3, 5, 6], 'label': '95.4.a', 'level': 95, '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': [5, 19], 'level_radical': 95, 'mf_dim': 32, 'mf_new_dim': 18, 'num_forms': 7, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 18, 'sturm_bound': 40, 'trace_bound': 3, 'trace_display': [4, 0, 10, 28], 'traces': [18, 4, 0, 52, 10, 68, 28, -48, 166, 0, 8, 64, 16, -24, -40, 484, 104, -108, 0, 80, 240, 208, 12, 620, 450, -868, 288, -124, 220, -120, 344, -1720, -496, -592, 320, -1200, 112, 228, -116, 0, -1084, -2796, 248, -792, -390, -512, 2024, -940, 1854, 100, 216, 436, -2432, -204, 320, -104, 228, -1132, -928, 340, 68, 136, 1392, 1332, -480, 2168, 1544, 1564, 1232, -1600, -1080, -908, 1040, -584, 0, 0, 768, -2792, -544, -360, 2810, 3744, 512, 1312, 500, 3448, 876, 3196, 3300, 0, 1952, 4604, 4560, -3176, 760, -2980, 2512, -380, 664, 1300, -604, -4084, 3304, -6380, -2000, 2260, -3304, 1052, -2804, -1440, -8336, -2380, 4416, -1976, 1200, 688, -1776, 8060, -1420, -1600, 2218, -8696, -5864, -216, 250, -2704, 320, -2864, 2392, 2560, -3352, -4380, 532, -4244, -5320, 8240, 1640, -6820, 2528, 3440, -3144, 5688, -11792, -11976, -1020, 8776, -6984, 3128, -7028, 1700, -10880, 228, 8108, 5552, -2440, -980, 1924, -5424, -244, 4100, -5332, 6028, -14344, -8784, 280, 17824, -1712, -9380, 11810, -160, -1520, -4096, -2896, 20928, 700, 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-91928, -177280, -166368, -164368, 4836, 26824, -80720, -152720, 233972, 6360, -375064, 0], 'weight': 4, 'weight_parity': 1}

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: 82577
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '95.4.a.a', 'target_level': 95, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
id: 82578
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '475.4.a.d', 'target_level': 475, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
id: 82579
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '475.4.b.e', 'target_level': 475, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
id: 82580
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '855.4.a.e', 'target_level': 855, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
id: 82581
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1520.4.a.b', 'target_level': 1520, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 4}
id: 82582
{'conductor': 19, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '95.4.a.a', 'source_level': 95, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1805.4.a.f', 'target_level': 1805, 'twist_class_label': '95.4.a.a', 'twist_class_level': 95, 'twisting_char_label': '19.b', 'twisting_char_orbit': 2, 'weight': 4}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 282725
{'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 2}
id: 282726
{'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 3}
id: 282727
{'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 5}
id: 282728
{'charpoly_factorization': [[[22, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 7}
id: 282729
{'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 11}
id: 282730
{'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 13}
id: 282731
{'charpoly_factorization': [[[66, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 17}
id: 282732
{'charpoly_factorization': [[[-19, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 19}
id: 282733
{'charpoly_factorization': [[[30, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 23}
id: 282734
{'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 29}
id: 282735
{'charpoly_factorization': [[[64, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 31}
id: 282736
{'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 37}
id: 282737
{'charpoly_factorization': [[[-54, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 41}
id: 282738
{'charpoly_factorization': [[[-182, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 43}
id: 282739
{'charpoly_factorization': [[[-594, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 47}
id: 282740
{'charpoly_factorization': [[[-396, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 53}
id: 282741
{'charpoly_factorization': [[[564, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 59}
id: 282742
{'charpoly_factorization': [[[706, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 61}
id: 282743
{'charpoly_factorization': [[[628, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 67}
id: 282744
{'charpoly_factorization': [[[984, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 71}
id: 282745
{'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 73}
id: 282746
{'charpoly_factorization': [[[328, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 79}
id: 282747
{'charpoly_factorization': [[[294, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 83}
id: 282748
{'charpoly_factorization': [[[-918, 1], 1]], 'hecke_orbit_code': 67108959, 'p': 89}
id: 282749
{'charpoly_factorization': [[[1564, 1], 1]], 'hecke_orbit_code': 67108959, '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': 1, 'label': '95.4.a.a', 'level': 95, 'portrait': 'data:image/png;base64,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', 'weight': 4}

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: 2598576
{'hecke_orbit_code': 67108959, 'n': 1, 'trace_an': 1}
id: 2598577
{'hecke_orbit_code': 67108959, 'n': 2, 'trace_an': 0}
id: 2598578
{'hecke_orbit_code': 67108959, 'n': 3, 'trace_an': 4}
id: 2598579
{'hecke_orbit_code': 67108959, 'n': 4, 'trace_an': -8}
id: 2598580
{'hecke_orbit_code': 67108959, 'n': 5, 'trace_an': -5}
id: 2598581
{'hecke_orbit_code': 67108959, 'n': 6, 'trace_an': 0}
id: 2598582
{'hecke_orbit_code': 67108959, 'n': 7, 'trace_an': -22}
id: 2598583
{'hecke_orbit_code': 67108959, 'n': 8, 'trace_an': 0}
id: 2598584
{'hecke_orbit_code': 67108959, 'n': 9, 'trace_an': -11}
id: 2598585
{'hecke_orbit_code': 67108959, 'n': 10, 'trace_an': 0}
id: 2598586
{'hecke_orbit_code': 67108959, 'n': 11, 'trace_an': -12}
id: 2598587
{'hecke_orbit_code': 67108959, 'n': 12, 'trace_an': -32}
id: 2598588
{'hecke_orbit_code': 67108959, 'n': 13, 'trace_an': 8}
id: 2598589
{'hecke_orbit_code': 67108959, 'n': 14, 'trace_an': 0}
id: 2598590
{'hecke_orbit_code': 67108959, 'n': 15, 'trace_an': -20}
id: 2598591
{'hecke_orbit_code': 67108959, 'n': 16, 'trace_an': 64}
id: 2598592
{'hecke_orbit_code': 67108959, 'n': 17, 'trace_an': -66}
id: 2598593
{'hecke_orbit_code': 67108959, 'n': 18, 'trace_an': 0}
id: 2598594
{'hecke_orbit_code': 67108959, 'n': 19, 'trace_an': 19}
id: 2598595
{'hecke_orbit_code': 67108959, 'n': 20, 'trace_an': 40}
id: 2598596
{'hecke_orbit_code': 67108959, 'n': 21, 'trace_an': -88}
id: 2598597
{'hecke_orbit_code': 67108959, 'n': 22, 'trace_an': 0}
id: 2598598
{'hecke_orbit_code': 67108959, 'n': 23, 'trace_an': -30}
id: 2598599
{'hecke_orbit_code': 67108959, 'n': 24, 'trace_an': 0}
id: 2598600
{'hecke_orbit_code': 67108959, 'n': 25, 'trace_an': 25}
id: 2598601
{'hecke_orbit_code': 67108959, 'n': 26, 'trace_an': 0}
id: 2598602
{'hecke_orbit_code': 67108959, 'n': 27, 'trace_an': -152}
id: 2598603
{'hecke_orbit_code': 67108959, 'n': 28, 'trace_an': 176}
id: 2598604
{'hecke_orbit_code': 67108959, 'n': 29, 'trace_an': -6}
id: 2598605
{'hecke_orbit_code': 67108959, 'n': 30, 'trace_an': 0}
id: 2598606
{'hecke_orbit_code': 67108959, 'n': 31, 'trace_an': -64}
id: 2598607
{'hecke_orbit_code': 67108959, 'n': 32, 'trace_an': 0}
id: 2598608
{'hecke_orbit_code': 67108959, 'n': 33, 'trace_an': -48}
id: 2598609
{'hecke_orbit_code': 67108959, 'n': 34, 'trace_an': 0}
id: 2598610
{'hecke_orbit_code': 67108959, 'n': 35, 'trace_an': 110}
id: 2598611
{'hecke_orbit_code': 67108959, 'n': 36, 'trace_an': 88}
id: 2598612
{'hecke_orbit_code': 67108959, 'n': 37, 'trace_an': -16}
id: 2598613
{'hecke_orbit_code': 67108959, 'n': 38, 'trace_an': 0}
id: 2598614
{'hecke_orbit_code': 67108959, 'n': 39, 'trace_an': 32}
id: 2598615
{'hecke_orbit_code': 67108959, 'n': 40, 'trace_an': 0}
id: 2598616
{'hecke_orbit_code': 67108959, 'n': 41, 'trace_an': 54}
id: 2598617
{'hecke_orbit_code': 67108959, 'n': 42, 'trace_an': 0}
id: 2598618
{'hecke_orbit_code': 67108959, 'n': 43, 'trace_an': 182}
id: 2598619
{'hecke_orbit_code': 67108959, 'n': 44, 'trace_an': 96}
id: 2598620
{'hecke_orbit_code': 67108959, 'n': 45, 'trace_an': 55}
id: 2598621
{'hecke_orbit_code': 67108959, 'n': 46, 'trace_an': 0}
id: 2598622
{'hecke_orbit_code': 67108959, 'n': 47, 'trace_an': 594}
id: 2598623
{'hecke_orbit_code': 67108959, 'n': 48, 'trace_an': 256}
id: 2598624
{'hecke_orbit_code': 67108959, 'n': 49, 'trace_an': 141}
id: 2598625
{'hecke_orbit_code': 67108959, 'n': 50, 'trace_an': 0}
id: 2598626
{'hecke_orbit_code': 67108959, 'n': 51, 'trace_an': -264}
id: 2598627
{'hecke_orbit_code': 67108959, 'n': 52, 'trace_an': -64}
id: 2598628
{'hecke_orbit_code': 67108959, 'n': 53, 'trace_an': 396}
id: 2598629
{'hecke_orbit_code': 67108959, 'n': 54, 'trace_an': 0}
id: 2598630
{'hecke_orbit_code': 67108959, 'n': 55, 'trace_an': 60}
id: 2598631
{'hecke_orbit_code': 67108959, 'n': 56, 'trace_an': 0}
id: 2598632
{'hecke_orbit_code': 67108959, 'n': 57, 'trace_an': 76}
id: 2598633
{'hecke_orbit_code': 67108959, 'n': 58, 'trace_an': 0}
id: 2598634
{'hecke_orbit_code': 67108959, 'n': 59, 'trace_an': -564}
id: 2598635
{'hecke_orbit_code': 67108959, 'n': 60, 'trace_an': 160}
id: 2598636
{'hecke_orbit_code': 67108959, 'n': 61, 'trace_an': -706}
id: 2598637
{'hecke_orbit_code': 67108959, 'n': 62, 'trace_an': 0}
id: 2598638
{'hecke_orbit_code': 67108959, 'n': 63, 'trace_an': 242}
id: 2598639
{'hecke_orbit_code': 67108959, 'n': 64, 'trace_an': -512}
id: 2598640
{'hecke_orbit_code': 67108959, 'n': 65, 'trace_an': -40}
id: 2598641
{'hecke_orbit_code': 67108959, 'n': 66, 'trace_an': 0}
id: 2598642
{'hecke_orbit_code': 67108959, 'n': 67, 'trace_an': -628}
id: 2598643
{'hecke_orbit_code': 67108959, 'n': 68, 'trace_an': 528}
id: 2598644
{'hecke_orbit_code': 67108959, 'n': 69, 'trace_an': -120}
id: 2598645
{'hecke_orbit_code': 67108959, 'n': 70, 'trace_an': 0}
id: 2598646
{'hecke_orbit_code': 67108959, 'n': 71, 'trace_an': -984}
id: 2598647
{'hecke_orbit_code': 67108959, 'n': 72, 'trace_an': 0}
id: 2598648
{'hecke_orbit_code': 67108959, 'n': 73, 'trace_an': 14}
id: 2598649
{'hecke_orbit_code': 67108959, 'n': 74, 'trace_an': 0}
id: 2598650
{'hecke_orbit_code': 67108959, 'n': 75, 'trace_an': 100}
id: 2598651
{'hecke_orbit_code': 67108959, 'n': 76, 'trace_an': -152}
id: 2598652
{'hecke_orbit_code': 67108959, 'n': 77, 'trace_an': 264}
id: 2598653
{'hecke_orbit_code': 67108959, 'n': 78, 'trace_an': 0}
id: 2598654
{'hecke_orbit_code': 67108959, 'n': 79, 'trace_an': -328}
id: 2598655
{'hecke_orbit_code': 67108959, 'n': 80, 'trace_an': -320}
id: 2598656
{'hecke_orbit_code': 67108959, 'n': 81, 'trace_an': -311}
id: 2598657
{'hecke_orbit_code': 67108959, 'n': 82, 'trace_an': 0}
id: 2598658
{'hecke_orbit_code': 67108959, 'n': 83, 'trace_an': -294}
id: 2598659
{'hecke_orbit_code': 67108959, 'n': 84, 'trace_an': 704}
id: 2598660
{'hecke_orbit_code': 67108959, 'n': 85, 'trace_an': 330}
id: 2598661
{'hecke_orbit_code': 67108959, 'n': 86, 'trace_an': 0}
id: 2598662
{'hecke_orbit_code': 67108959, 'n': 87, 'trace_an': -24}
id: 2598663
{'hecke_orbit_code': 67108959, 'n': 88, 'trace_an': 0}
id: 2598664
{'hecke_orbit_code': 67108959, 'n': 89, 'trace_an': 918}
id: 2598665
{'hecke_orbit_code': 67108959, 'n': 90, 'trace_an': 0}
id: 2598666
{'hecke_orbit_code': 67108959, 'n': 91, 'trace_an': -176}
id: 2598667
{'hecke_orbit_code': 67108959, 'n': 92, 'trace_an': 240}
id: 2598668
{'hecke_orbit_code': 67108959, 'n': 93, 'trace_an': -256}
id: 2598669
{'hecke_orbit_code': 67108959, 'n': 94, 'trace_an': 0}
id: 2598670
{'hecke_orbit_code': 67108959, 'n': 95, 'trace_an': -95}
id: 2598671
{'hecke_orbit_code': 67108959, 'n': 96, 'trace_an': 0}
id: 2598672
{'hecke_orbit_code': 67108959, 'n': 97, 'trace_an': -1564}
id: 2598673
{'hecke_orbit_code': 67108959, 'n': 98, 'trace_an': 0}
id: 2598674
{'hecke_orbit_code': 67108959, 'n': 99, 'trace_an': 132}
id: 2598675
{'hecke_orbit_code': 67108959, 'n': 100, 'trace_an': -200}

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.