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': 2016, 'analytic_conductor': 10.756804527834245, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [14, 3, [3], [1]], 'cm_discs': [], 'conrey_index': 9, 'dim': 8, 'field_disc': 3526760731428807755975914777655169600, 'field_disc_factorization': [[2, 6], [3, 4], [5, 2], [13, 2], [347, 2], [7691, 2], [150359149, 2]], 'field_poly': [3315283474489744081, -5894448091672309, 195840371083183, 333205096780, 8539617914, 6576400, 101803, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [654800630130802625625, 2028910114402381350, 16027755849610416, -16569707709996, 140415791337, -57316476, 451432, -266, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137640280078, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 29503488, 'hecke_ring_index_factorization': [[2, 12], [3, 1], [7, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '14.12.c.a', 'level': 14, '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, 7], 'level_radical': 14, 'minimal_twist': '14.12.c.a', 'prim_orbit_index': 3, 'qexp_display': 'q+(-2^{5}+2^{5}\\beta _{2})q^{2}+(67\\beta _{2}-\\beta _{3})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '11.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.12.c', 'trace_display': [-128, 266, 7504, -42224], 'trace_hash': 867463871182699004, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '7.906', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '280.563', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '19030.291', 'prec': 27}], 'trace_zratio': 0, 'traces': [8, -128, 266, -4096, 7504, -17024, -42224, 262144, -123520, 240128, 213026, 272384, -2609712, 1257536, 2275500, -4194304, 8854244, -3952640, 7232806, -15368192, 49275128, -13633664, -10649134, 8716288, -119407256, 41755392, 19012196, 2996224, -221414576, -36408000, 486231270, -134217728, 489871116, -566671616, -756166390, 252968960, 463131040, 231449792, 493924396, 245891072, -1617723408, -1609760768, 2926896352, 218138624, 2871035832, -340772288, -894091254, -557842432, -11608958872, 7642064384, 6950287158, 1336172544, -1448863512, -304195136, -25123348964, -1383596032, 18014730520, 3542633216, 14386900738, -1165056000, 10854402216, -31118801280, -11833302628, 8589934592, 5495584080, 15675875712, 19629545546, 9066745856, -92767078992, 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11381665658044416, 49056886016122980, 25256873781023360, -12222849724044204, 12086527161597952, 78024676666163152, -38055166037950464, -92835865885857570, 35637253565448192, 98048979293965840, -7108193675559424, -38710379236824624, -67368009842466816, 3198302157112456, -2774798276439168, -88190818132289066, 16315214085488640, -36800617242496184, 157775053651701248, 32741107279220084, 8213170229698560, 79241418035644312, 6406495140061888, -53680211761306130, -93442921496838144], '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], [-0.3535533905932738, 0.6123724356957945], [-0.6456305106402542, -1.118264847345559], [-0.25, -0.4330127018922193], [0.5247946234310096, -0.908970951321485], [0.9130594244293143, 0.0], [-0.6327446309577969, 0.7743605310151606], [0.3535533905932738, 0.0], [-0.3336775125391907, 0.5779464050610794], [0.3710858369583075, 0.6427395235810093], [-0.04514851851120974, -0.07819952794787924], [-0.3228152553201271, 0.5591324236727795], [-1.3616711670273964, 0.0], [-0.25048803482962384, -0.6612531621150807], [-1.3552936828280904, 0.0], [-0.125, 0.21650635094610965], [0.5735919762412126, 0.9934904456636207], [-0.235945631845921, -0.4086698221810765], [-0.8298470560405282, 1.4373372635736523], [-0.5247946234310096, 0.0], [1.274459400196256, 0.20762529308776628], [0.06384964719960555, 0.0], [0.3381498604380966, -0.5856927388511084], [-0.22826485610732858, -0.395366328360292], [-0.05081879356419032, -0.0880207324325319], [0.481423457975636, -0.8338498891693019], [-0.4295314900411183, 0.0], [0.4934941035130176, 0.08039632950504072], [0.21620200525665126, 0.0], [0.4791686768135164, -0.8299444936365614], [0.32307555674634, 0.5595832789682629], [-0.08838834764831845, -0.15309310892394862], [-0.05829852212208663, 0.1009760023216322], [-0.811181552068709, 0.0], [0.3718102482111706, 0.9815267324192084], [0.3336775125391907, 0.0], [0.6179821732335353, -1.0703765222123147], [-0.5867904806739505, -1.0163509259250456], [0.8791364508920089, 1.5227089997307406], [0.18554291847915375, -0.32136976179050464], [-1.6965622934971565, 0.0], [-0.577733448553065, 0.7070371807494806], [-1.0689592332521538, 0.0], [-0.02257425925560487, 0.03909976397393962], [0.35022432908080114, 0.6066063320146698], [0.23910805937306276, 0.41414730733334043], [-0.5086402316666429, 0.8809907240202295], [0.3228152553201271, 0.0], [-0.19926846398816275, -0.9799449368509427], [0.0718686270819165, 0.0], [0.7406569610395333, -1.2828554875000342], [0.3404177917568491, 0.5896209111232644], [-0.7529494224937676, -1.3041466552888499], [0.15186231467061836, -0.2630332447645235], [-0.09477479908223313, 0.0], [-0.22370900965481882, 0.27377779128201796], [2.1430983141790314, 0.0], [-0.07643895201155385, 0.1323961485613305], [0.5248828147421715, 0.9091237031532036], [0.3388234207070226, 0.586859379458848], [0.4419566309952606, -0.7654913396257614], [-0.45689783402191253, 0.0], [-0.23640623059087468, -0.6240791805814238], [0.125, 0.0], [-0.7145977073370059, 1.2377195360799293], [-0.041223280325681406, -0.0714008159787347], [-0.7050590199187753, -1.2211980448340358], [0.2867959881206063, -0.49674522283181033], [-0.873279468270316, 0.0], [-0.7325146897444711, -0.11933575689101562], [-0.049311564637721406, 0.0], [-0.1179728159229605, 0.20433491109053825], [0.3111097891228429, 0.5388579614928031], [0.4369793853458325, 0.7568704972792009], [-0.06562032727793972, 0.11365774085468952], [0.8298470560405282, 0.0], [0.08912211067052132, 0.014519100683566596], [-1.2432866920280274, 0.0], [-0.6529184647229732, 1.1308879541000572], [0.1311986558577524, 0.22724273783037124], [0.6109961477905071, 1.0582763712020211], [0.5998253512186205, -1.038927983978497], [-1.0529453919175078, 0.0], [-0.2287104609079664, -0.6037634316028596], [1.2040719406982232, 0.0], [0.3779341613222852, -0.6546011693261303], [-0.13958661105529865, -0.24177110240413283], [-0.015962411799901387, -0.027647708248766178], [0.16868419781060592, -0.29216960104196826], [-0.49529199605908697, 0.0], [0.8615901200666227, -1.0544244079673681], [-0.3381498604380966, 0.0], [0.4171748733550478, -0.7225680762920547], [-0.35966295699577966, -0.6229545151171505], [0.8709985465602419, 1.5086137359609852], [-0.11413242805366429, 0.197683164180146], [-1.0399844866438719, 0.0], [0.670543308908502, 0.22443634036857144], [0.06026018140660029, 0.0], [-0.02540939678209516, 0.04401036621626595]], 'angles': [None, -0.4716306514861562, -0.3287377265735109, None, -0.09052138664731707, -0.3691915917831888, 0.013891908190103289, 0.23911952823963226, -0.3617661289011075, -0.23276150489710346, -0.030974933691053506, -0.3106418573897868, -0.4111811297329379, -0.33974618659999994, 0.16825916287028178, -0.447648566730274, 0.004612096486369243, -0.34380892033713645, -0.4587935767308267, -0.2539244873212982, -0.03298298816383267, 0.1965611242520896, -0.33824288175051104, -0.3896907656922001, -0.337032586656789, -0.13380859695665231, -0.445295431402373, 0.2329059051420883, -0.10569274556152895, -0.22134533540606047, -0.3413010349514489, -0.2770672227956093, -0.07132068163113442, -0.2630641297703282, 0.2055995275172544, -0.0818672222685833, -0.1026078148552948, -0.21301359078228344, -0.2864168834494131, -0.49499337858351095, -0.07177416043319743, -0.14323117377397246, -0.3934973660143452, -0.37756579371786686, -0.23704471246618422, -0.03883407258007986, -0.19398878415793577, -0.22225988302261077, -0.4597200008098213, 0.26422355902706285, -0.4544065685679173, -0.15490756151335544, 0.05256156909798242, -0.37860583038987566, -0.34898923399185094, -0.09752094607751415, -0.12057895185522113, -0.49425843382846435, 0.00700790909834569, -0.2114283381952483, -0.059248106939421716, -0.2597615828786146, -0.2935303792386061, 0.01886611662348859, -0.4023026223450455, 0.18916363228910318, -0.41070624747401524, -0.25277001159957135, -0.08711713888919752, -0.21472198022157357, -0.11787686629543455, -0.3325512175174738, -0.1438442835706041, -0.26952387813937645, -0.27739753444229254, -0.45652568329378174, -0.07304645871588954, -0.4364233252949063, -0.49353242302394434, -0.1294950342724258, -0.09929716125641493, -0.24392896610346607, -0.0245432775265588, -0.34193177537193215, -0.3425918502925197, -0.37220520197727386, -0.29320368015149895, -0.40662805772166877, -0.3348318215746289, -0.3954410233833189, -0.2807108112996102, -0.09024057099662552, 0.0033076872074584507, -0.18083753129222158, -0.3781130174500225, -0.2983923575583175, -0.363969337629348, -0.12774479103459516, -0.4335768441166204, -0.3998241151519368], 'char_orbit_index': 3, 'conrey_index': 9, 'dual_conrey_index': 11, 'dual_embedding_index': 1, 'dual_embedding_m': 5, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -264.34417215515134, 'embedding_root_real': 152.6191789524854, 'hecke_orbit': 1, 'hecke_orbit_code': 137640280078, 'label': '14.12.c.a.9.1', 'level': 14, '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

{'Nk2': 2016, 'analytic_conductor': 10.756804527834245, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [14, 3, [3], [1]], 'conrey_index': 9, 'cusp_dim': 40, 'dim': 16, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137640280078, 'hecke_orbit_dims': [8, 8], 'label': '14.12.c', 'level': 14, '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, 7], 'level_radical': 14, 'mf_dim': 48, 'mf_new_dim': 16, 'num_forms': 2, 'prim_orbit_index': 3, 'relative_dim': 8, 'sturm_bound': 24, 'trace_bound': 2, 'trace_display': [0, 0, 11312, 68104], 'traces': [16, 0, 0, -8192, 11312, -34048, 68104, 0, -627368, 118272, 1133176, 0, -1612240, 2654336, 1775056, -8388608, 10187968, 12170496, -14318920, -23166976, -41167352, 45255936, 61861024, 17432576, -196562000, 57714944, 175695408, -65282048, -7839472, -44415104, 291871496, 0, 325323992, -481313280, -1737885464, 1284849664, 634648088, 921105024, -159200840, 121110528, -4929818544, -2762479872, 3777176000, 1160372224, 9655050104, -2661097344, 1329789720, 0, -15841003184, 2704160768, 13918649240, 825466880, -8634346872, 2202736256, -24498433344, -4998823936, 22974199632, 6959834880, 21384302240, -908828672, 4377938936, -43557826816, -29085810312, 17179869184, 36121112328, 20941383680, 968573360, 10432479232, -61447316896, -13888060032, 24699254176, 12462587904, 25151800184, 9331647744, -27465986576, 29325148160, -687714496, -73411176448, -48025080160, 11861491712, 3502213696, -27109947648, 176845941664, 56780701696, -38209307952, -33225867264, -295758917048, -23171039232, 55149699528, 250430620160, 233972705648, -126691377152, -204137018504, -99775111296, 153407449936, 17850957824, 150068913008, 347442899712, -152071856816, -201279488000, -124286654128, 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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: 1637673
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
id: 1637674
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '3.2', 'twisting_conrey_index': 2, 'weight': 12}
id: 1637675
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '4.3', 'twisting_conrey_index': 3, 'weight': 12}
id: 1637676
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '7.2', 'twisting_conrey_index': 2, 'weight': 12}
id: 1637677
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '7.3', 'twisting_conrey_index': 3, 'weight': 12}
id: 1637678
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '7.4', 'twisting_conrey_index': 4, 'weight': 12}
id: 1637679
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '7.5', 'twisting_conrey_index': 5, 'weight': 12}
id: 1637680
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '7.6', 'twisting_conrey_index': 6, 'weight': 12}
id: 1637681
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '21.11', 'twisting_conrey_index': 11, 'weight': 12}
id: 1637682
{'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137640280078, 'source_is_minimal': True, 'source_label': '14.12.c.a.9.1', 'source_level': 14, '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': '28.11', 'twisting_conrey_index': 11, 'weight': 12}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 57700
{'charpoly_factorization': [[[1024, 32, 1], 4]], 'hecke_orbit_code': 137640280078, 'p': 2}
id: 57701
{'charpoly_factorization': [[[654800630130802625625, 2028910114402381350, 16027755849610416, -16569707709996, 140415791337, -57316476, 451432, -266, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 3}
id: 57702
{'charpoly_factorization': [[[17225709655645447878922127015625, 1622209162897256701989375000, 689019644363713022688750, 11788329664442898000, 15476505336152775, 187838634480, 185514886, -7504, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 5}
id: 57703
{'charpoly_factorization': [[[15286700631942576193765185769276826401, 326433478820927137587164674241168, 26179819725805642130641425676, 456281133345765214563664, 18889896722818413446, 230756568160048, 6695912524, 42224, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 7}
id: 57704
{'charpoly_factorization': [[[8418893370385146121216754504901777901055625, 250193745704686960813965822726119697150, 5830404999750438430335797432580264, 46457961339401349965003256084, 290470130936789540973921, 290284363132232964, 598496186224, -213026, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 11}
id: 57705
{'charpoly_factorization': [[[4501347212540596575435600, -2785353057713377760, -3826939276440, 1304856, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 13}
id: 57706
{'charpoly_factorization': [[[48516469546895778986460307916250970094533636031687841, -58503337447296873790449009682073600004896779332, 66073655842224823183843224583410943714842, -9293446583698612454557686526117392, 2984255475728962972001216643, -351431415581220556176, 98701836730618, -8854244, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 17}
id: 57707
{'charpoly_factorization': [[[161681177456120948947542269947973221978246945054124017225, 27921809509033707227911117519387980140905674878570, 9494723021916563405962444534180711367165464, -623027171622123710072317910901355300, 138212539256435198899805774017, -1733863744696938363124, 419798673484096, -7232806, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 19}
id: 57708
{'charpoly_factorization': [[[258628610146193943467871720479631591150270289747136153511009, -3078032345107116153801750529192672308462388695542010, 817331623780503726963332788427703507897087804, -1539970993801491220824151004216864244, 1912523666827629383424044159301, -4242806041770098214372, 1648534402426924, 10649134, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 23}
id: 57709
{'charpoly_factorization': [[[-373521990088461941886592791216, -56088050562848724823008, -210435713644440, 110707288, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 29}
id: 57710
{'charpoly_factorization': [[[523090079682637930952451170117165014663218409274580486452028623025, -4690487531348467269336091491872822069589895745027276341710, 74376324353387493051155080409180978182326583696324, -413548015303828281481024244683423987211244, 5873211336557689867379983792496109, -34697068279590153757702396, 191737423846091748, -486231270, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 31}
id: 57711
{'charpoly_factorization': [[[679344127710815297304281565644389882495411294299704045805891192465289, -5518600168243566364451124902900357557907868183011944561627768, 35953048566295831497746924714127631229905802384576494, -96252955000767920377377440965626495473865904, 240116054247440376617742066194539879, -265729778653190220462796432, 555067403882724934, -463131040, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 37}
id: 57712
{'charpoly_factorization': [[[-177053051630341431296119720832293296, -1292343095051615128278296736, -1481059151822116440, 808861704, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 41}
id: 57713
{'charpoly_factorization': [[[310412031439486023580035507686713600, 1381830373497989082095944960, -1521286339691442720, -1463448176, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 43}
id: 57714
{'charpoly_factorization': [[[2484452835324557295027874298283565698731507103184956072372079652509449681, -1682035343396516049365034300239520318665779300458941379432733506, 4939886594240880836951844999377203001949181738374784020, -245116813071845260266476026095251170888562964, 5193435553587158937074438463142675389, -21866502821868890229130884, 3210940871882166420, 894091254, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 47}
id: 57715
{'charpoly_factorization': [[[31174345528979535661764524369942848617692208333893369798459076333903313401, 117261188440169901268395642891090414554319503924659021871553352944, 336707589993803424581867325988745807509632496062209065878, 408748853576193155891611429581105951522103268976, 385411582889932918315241863573846753743, 14921021362347134328992010192, 20791436619072931902, 1448863512, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 53}
id: 57716
{'charpoly_factorization': [[[16545007511206226620078929502102715914447413325820046904422461121228130250025, -20865739602523800658971396416384152842884159665289335272647075153250, 16799782492993827076525854187063974762857442016389238377240, -8298807115597241770775130669879188333350036161420, 3009665306865340265566019357676046035249, -739815868478442577500621914076, 133009176156617070592, -14386900738, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 59}
id: 57717
{'charpoly_factorization': [[[8440305567671950582176441251049769103881868031290409038867105499271294888662681, -3086057837187009695293116191651531532869077864720014460778603307145776, 932453191598477059801879841097205054624572837523175719291750, -134701095561373640712571201908873809653557956794704, 18982702986989343877125436114194737134719, -1392527863608297109560222583024, 185252761486304880750, -10854402216, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 61}
id: 57718
{'charpoly_factorization': [[[341693869852201193756951014593308215736680933635436195631031532776992146231108441, -84615094728904456798220051003726312749153477903430966274793524721866074, 17646839042373323039508702618816783117880786061788815682306288, -1544568277739944339611872077170660250062046709636140, 140340615634002614271600711737299220611049, -5643512050420460171175727633660, 564207911255633887528, -19629545546, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 67}
id: 57719
{'charpoly_factorization': [[[2930510209066294790474696966513663287296, 3377776333570521305881021231104, -709819987014967726272, -737402464, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 71}
id: 57720
{'charpoly_factorization': [[[40655369063592290876392608105678742540068804476653614757543204534078037009926225, -13036585752187533703359174165108495203398647034373270422385992209268220, 4062916468370883213841394124980015278992845882809148350833154, -310804189923402798514731001212980533946961316293232, 50510516800740148622092048212082898435627, -3694750755458864771029191604528, 477236546858358483058, -21420158732, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 73}
id: 57721
{'charpoly_factorization': [[[739543682734198710829164779594635527805966168280779737218488546253901738569300625, -66989587185422510047292664931547850265543103000326196925719752801175250, 32349978582302367862124821165159144754555269193127130344246100, 5657415142064530215504555343211027607237019280949900, 812793696933335431113264450836078593275165, 53297688606570518077056747954140, 2663169105294295095636, 60246238086, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 79}
id: 57722
{'charpoly_factorization': [[[-47841421674965904327155157805085737507584, -14912715291201228579234338827008, 854073897311816080032, 69946791152, 1], 2]], 'hecke_orbit_code': 137640280078, 'p': 83}
id: 57723
{'charpoly_factorization': [[[591182146573589503450933129607268640967886741284936612406481472952327057480062979921, -85256695345393705794519713348201779718404063440680746182523196492911872252, 7885970985201218795900195687210552400521570336014683078484950402, -441569314515498303552387232058803699712714388373887600, 18106002188609756115245097913603264550642859, -502821285577703592006148661421360, 10230771890356114585842, -126354105612, 1], 1]], 'hecke_orbit_code': 137640280078, 'p': 89}
id: 57724
{'charpoly_factorization': [[[-180095785663321832734293326038871262548686000, -2836349539025469411447768832204064, 6963941305472990177640, 269091442088, 1], 2]], 'hecke_orbit_code': 137640280078, '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': 3, 'hecke_orbit': 1, 'label': '14.12.c.a', 'level': 14, 'portrait': 'data:image/png;base64,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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: 6193063
{'hecke_orbit_code': 137640280078, 'n': 1, 'trace_an': 8}
id: 6193064
{'hecke_orbit_code': 137640280078, 'n': 2, 'trace_an': -128}
id: 6193065
{'hecke_orbit_code': 137640280078, 'n': 3, 'trace_an': 266}
id: 6193066
{'hecke_orbit_code': 137640280078, 'n': 4, 'trace_an': -4096}
id: 6193067
{'hecke_orbit_code': 137640280078, 'n': 5, 'trace_an': 7504}
id: 6193068
{'hecke_orbit_code': 137640280078, 'n': 6, 'trace_an': -17024}
id: 6193069
{'hecke_orbit_code': 137640280078, 'n': 7, 'trace_an': -42224}
id: 6193070
{'hecke_orbit_code': 137640280078, 'n': 8, 'trace_an': 262144}
id: 6193071
{'hecke_orbit_code': 137640280078, 'n': 9, 'trace_an': -123520}
id: 6193072
{'hecke_orbit_code': 137640280078, 'n': 10, 'trace_an': 240128}
id: 6193073
{'hecke_orbit_code': 137640280078, 'n': 11, 'trace_an': 213026}
id: 6193074
{'hecke_orbit_code': 137640280078, 'n': 12, 'trace_an': 272384}
id: 6193075
{'hecke_orbit_code': 137640280078, 'n': 13, 'trace_an': -2609712}
id: 6193076
{'hecke_orbit_code': 137640280078, 'n': 14, 'trace_an': 1257536}
id: 6193077
{'hecke_orbit_code': 137640280078, 'n': 15, 'trace_an': 2275500}
id: 6193078
{'hecke_orbit_code': 137640280078, 'n': 16, 'trace_an': -4194304}
id: 6193079
{'hecke_orbit_code': 137640280078, 'n': 17, 'trace_an': 8854244}
id: 6193080
{'hecke_orbit_code': 137640280078, 'n': 18, 'trace_an': -3952640}
id: 6193081
{'hecke_orbit_code': 137640280078, 'n': 19, 'trace_an': 7232806}
id: 6193082
{'hecke_orbit_code': 137640280078, 'n': 20, 'trace_an': -15368192}
id: 6193083
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id: 6193089
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id: 6193100
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id: 6193101
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id: 6193102
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id: 6193103
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id: 6193105
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id: 6193106
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id: 6193107
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id: 6193108
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id: 6193109
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id: 6193110
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id: 6193111
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id: 6193112
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id: 6193128
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id: 6193135
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id: 6193136
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id: 6193137
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id: 6193138
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id: 6193139
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id: 6193140
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id: 6193141
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id: 6193146
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id: 6193149
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id: 6193150
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id: 6193151
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id: 6193152
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id: 6193153
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id: 6193154
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id: 6193155
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id: 6193156
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id: 6193157
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id: 6193158
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id: 6193159
{'hecke_orbit_code': 137640280078, 'n': 97, 'trace_an': -538182884176}
id: 6193160
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id: 6193161
{'hecke_orbit_code': 137640280078, 'n': 99, 'trace_an': 393415805736}
id: 6193162
{'hecke_orbit_code': 137640280078, '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.