Embedded newform data - 2300.4.a.c.1.2

Formats: - HTML - YAML - JSON - 2025-11-09T22:18:23.909554

• mf_newforms •

  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

  
  {'Nk2': 36800, 'analytic_conductor': 135.7043930132034, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [23, -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': [2300, 1, [1151, 277, 1201], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 394385991769, 'field_disc_factorization': [[7, 1], [11, 1], [5121895997, 1]], 'field_poly': [1044, 1212, 121, -80, -2, 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, [-2296, 1211, 121, -78, -3, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199321852156, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': False, 'label': '2300.4.a.c', 'level': 2300, '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, 5, 23], 'level_radical': 230, 'minimal_twist': '460.4.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{3}+(-2+\\beta _{2}+\\beta _{3})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2300.4.a', 'trace_display': [0, 3, 0, -8], 'trace_hash': 1373597814602735935, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.053', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.856', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.776', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.752', 'prec': 20}, {'__RealLiteral__': 0, 'data': '57.193', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1533.037', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [5, 0, 3, 0, 0, 0, -8, 0, 30, 0, 7, 0, -5, 0, 0, 0, 24, 0, -13, 0, 0, 0, 115, 0, 0, 0, 204, 0, -253, 0, -98, 0, 473, 0, 0, 0, 435, 0, -410, 0, -774, 0, 498, 0, 0, 0, 572, 0, -683, 0, -657, 0, 665, 0, 0, 0, 932, 0, -763, 0, 337, 0, 1527, 0, 0, 0, 305, 0, 69, 0, -1504, 0, 1304, 0, 0, 0, -182, 0, 626, 0, -959, 0, 1703, 0, 0, 0, 1354, 0, 646, 0, -767, 0, 452, 0, 0, 0, 233, 0, 111, 0, -951, 0, 1251, 0, 0, 0, 1663, 0, 915, 0, -934, 0, 1343, 0, 0, 0, -1290, 0, -2413, 0, -856, 0, 3523, 0, 0, 0, -836, 0, 4566, 0, -1196, 0, -2491, 0, 0, 0, 1063, 0, 3931, 0, 2778, 0, 6538, 0, 0, 0, 1750, 0, 6297, 0, -2369, 0, -2230, 0, 0, 0, -6857, 0, 5318, 0, -184, 0, 3957, 0, 0, 0, 3504, 0, 7496, 0, -514, 0, -4127, 0, 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• mf_hecke_cc •

  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

  
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-0.2489313341087097, -0.11306886661241884, -0.23689958435283756, -0.3442353983908871, -0.21819078742735853, -0.15822520155380573, -0.3055002717860709, -0.22512135890636042, -0.30615595989862354, -0.2225979317156281, -0.2524648376681901, -0.18759554132242426, -0.3211254619273749, -0.3145885170979464, -0.16679009463990357, -0.21023083809376822, -0.37893740160122646, -0.341366233479437, -0.16002060085825975, -0.23513196689142607, -0.18407574770499519, -0.1803147690156085, -0.29133792203287207, -0.09693013848403392, -0.3260924405230873, -0.1763820893248748, -0.2746185515135788, -0.1839174920346448, -0.24365587308947917, -0.2733948898986625, -0.42802934358523276, -0.14573471570056834, -0.24464670915041528, -0.10810483862859667, -0.4069770453275155, -0.19400997150540536, -0.3269590507629851, -0.15299765405412805, -0.24586204579244167, -0.15264947846603716, -0.13124565565782642, -0.2791510761212028, -0.29078660741886064, -0.12812554220435293, -0.3697410026011349, -0.16110529036208024, -0.44134974738174365, -0.11577415646237252, -0.18246180798168238, -0.27113053925117614, -0.26331565293520487, -0.22114640618187123, -0.22502776269488087, -0.33011607770014034, -0.36915984854104156, -0.40661424476501506, -0.28597086588417486, -0.2671560033270226, -0.39165314419070224, -0.2460472059164251, -0.324513169754208, -0.1821610680440728, -0.32969849046725497, -0.2869237873617458, -0.14556222866285012, -0.352936766472384, -0.3480439643299734, -0.36948669552309704, -0.3413967299724576, -0.2365241864179696, -0.2565554033500412, -0.326037763770938, -0.12327495365965944, -0.2663755709543627, -0.3950456243144837, -0.18386761885394404, -0.14615663783963145, -0.434776431290705, -0.12666047205002756, -0.35056754483718244, -0.19172726477750052, -0.27276185399276764, -0.17922292572393067, -0.2727949964724461, -0.3210301856317257, -0.3658219830049112, -0.43647221088129073, -0.14650446980260476, -0.3919184699454045, -0.2534075246210418, -0.2431243646878525, -0.2597127469675191, -0.2553320966740927, -0.18473708086836568, -0.08571969077483509, -0.2297069542585652, -0.34586709786590963, -0.2728230683512188, -0.3891620486167305, -0.38892544883018637, -0.20806282706640403, -0.35820416426156165, -0.3624627170350623, -0.1377890936837685, -0.3164020262430079, -0.3852861344693341, -0.1557011578652658, -0.2696442563522977, -0.0395991028069703, -0.19357288104403259, -0.13751770932248034, -0.33966908516596533, -0.2407250430685756, -0.10179118754678895, -0.25212489760356727, -0.2110811189340141, -0.1921534080835537, -0.2056522476278814, -0.13689937186001686, -0.2592272705579381, -0.44057177504356043, -0.1548041041571528, -0.2757649539829995, -0.11573426996937136, -0.36103412035128596, -0.24230695773341385, -0.1954851216606356, -0.23078724688494937, -0.3174613270243659, -0.1403463108498702, -0.24059239145796038, -0.11329889853001987, -0.32566008097698135, -0.2713762975890037, -0.32826026467270447, -0.124763720756724, -0.07155109692839672, -0.34617828952523416, -0.309802105138037, -0.2296440175851384, -0.2284588445307153, -0.2439189294086484, -0.13736560448073717, -0.1908177914739369, -0.2555767208112647, -0.41567591448131386, -0.2107307916131507, -0.15321473117482293, -0.41900286010307203, -0.06206585578829925], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 6.724669986810865, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199321852156, 'label': '2300.4.a.c.1.2', 'level': 2300, 'weight': 4}
• mf_newspaces •

  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

  
  {'ALdims': [0, 0, 0, 0, 25, 25, 27, 27], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6, 3, 3, 3, 3], 'ALdims_old': [141, 123, 123, 141, 113, 104, 102, 111], 'Nk2': 36800, 'analytic_conductor': 135.7043930132034, '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': [2300, 1, [1151, 277, 1201], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1062, 'dim': 104, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 67111164, 'hecke_orbit_dims': [3, 3, 5, 5, 6, 6, 11, 11, 11, 11, 16, 16], 'label': '2300.4.a', 'level': 2300, '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, 5, 23], 'level_radical': 230, 'mf_dim': 1098, 'mf_new_dim': 104, 'num_forms': 12, 'plus_dim': 52, 'prim_orbit_index': 1, 'relative_dim': 104, 'sturm_bound': 1440, 'trace_bound': 7, 'trace_display': [0, 4, 0, -28], 'traces': [104, 0, 4, 0, 0, 0, -28, 0, 960, 0, -42, 0, 132, 0, 0, 0, 48, 0, -46, 0, -220, 0, 0, 0, 0, 0, -392, 0, -200, 0, 496, 0, -44, 0, 0, 0, 34, 0, -288, 0, -604, 0, -498, 0, 0, 0, -32, 0, 5504, 0, 1532, 0, -82, 0, 0, 0, -208, 0, 504, 0, -146, 0, -1100, 0, 0, 0, -350, 0, -276, 0, 72, 0, 1856, 0, 0, 0, 1304, 0, 3180, 0, 8696, 0, -422, 0, 0, 0, -1384, 0, -5044, 0, 1104, 0, 2812, 0, 0, 0, -544, 0, 514, 0, -1040, 0, 1136, 0, 0, 0, 1066, 0, 3486, 0, -5480, 0, -2452, 0, 0, 0, -960, 0, -1176, 0, 11608, 0, 800, 0, 0, 0, 1008, 0, 7664, 0, -5848, 0, 5424, 0, 0, 0, -156, 0, -2476, 0, 556, 0, -4900, 0, 0, 0, -3860, 0, 146, 0, 19088, 0, 5012, 0, 0, 0, -1266, 0, 12280, 0, -2024, 0, 3340, 0, 0, 0, -984, 0, 3020, 0, -23202, 0, 1844, 0, 0, 0, -2336, 0, -2976, 0, 178, 0, -8112, 0, 0, 0, -1220, 0, -13556, 0, 3500, 0, 9388, 0, 0, 0, -176, 0, -5388, 0, 11680, 0, 9784, 0, 0, 0, -2576, 0, 144, 0, -13340, 0, 7484, 0, 0, 0, -1132, 0, -38468, 0, -32156, 0, -688, 0, 0, 0, 3142, 0, 30814, 0, -13120, 0, 732, 0, 0, 0, 9456, 0, -11648, 0, 21620, 0, -10620, 0, 0, 0, 2820, 0, 6384, 0, 17290, 0, 1610, 0, 0, 0, 12592, 0, 13352, 0, -3044, 0, -5840, 0, 0, 0, -9272, 0, -12816, 0, -10496, 0, -30396, 0, 0, 0, -7568, 0, 23152, 0, -17116, 0, -4442, 0, 0, 0, 3984, 0, 9540, 0, 17392, 0, -3282, 0, 0, 0, 26956, 0, -1472, 0, 21136, 0, -9064, 0, 0, 0, -8188, 0, 6820, 0, 12304, 0, 13860, 0, 0, 0, -1644, 0, -29388, 0, -8276, 0, -5844, 0, 0, 0, 1384, 0, 42316, 0, -28748, 0, -26818, 0, 0, 0, 9256, 0, -32220, 0, 3788, 0, -6440, 0, 0, 0, -4300, 0, -34144, 0, -20040, 0, 32460, 0, 0, 0, 18664, 0, 8508, 0, 65424, 0, -22492, 0, 0, 0, 18804, 0, -79380, 0, -66440, 0, -26198, 0, 0, 0, -6860, 0, -1566, 0, -13644, 0, 26248, 0, 0, 0, -15850, 0, -36978, 0, -1380, 0, 15332, 0, 0, 0, -9628, 0, -23904, 0, 14388, 0, 12152, 0, 0, 0, -29488, 0, 50304, 0, -32180, 0, -27656, 0, 0, 0, 8228, 0, 26194, 0, -23906, 0, -11824, 0, 0, 0, -17936, 0, 55364, 0, 1276, 0, 15744, 0, 0, 0, 3818, 0, -58296, 0, 83360, 0, 32644, 0, 0, 0, -9064, 0, 5352, 0, -13896, 0, 996, 0, 0, 0, 25608, 0, 63804, 0, 8776, 0, 39640, 0, 0, 0, -1558, 0, -42672, 0, 960, 0, -49948, 0, 0, 0, -5498, 0, 10328, 0, -16880, 0, 2576, 0, 0, 0, -2768, 0, -55240, 0, -9204, 0, 10884, 0, 0, 0, -46596, 0, -884, 0, 79312, 0, -54420, 0, 0, 0, 19844, 0, -34768, 0, -57352, 0, -48904, 0, 0, 0, -1004, 0, -10472, 0, -57464, 0, 5490, 0, 0, 0, -5416, 0, 55016, 0, 15432, 0, 11956, 0, 0, 0, 11124, 0, -32722, 0, -22480, 0, 120320, 0, 0, 0, 14368, 0, -82986, 0, 87460, 0, -11704, 0, 0, 0, -40702, 0, -17532, 0, -51852, 0, -91010, 0, 0, 0, -22820, 0, 27972, 0, 9038, 0, -67788, 0, 0, 0, -8216, 0, -84196, 0, -141616, 0, 103784, 0, 0, 0, 40320, 0, 87624, 0, -92992, 0, 14044, 0, 0, 0, 4228, 0, 81696, 0, -70628, 0, -21494, 0, 0, 0, -38016, 0, 63508, 0, 75624, 0, 38486, 0, 0, 0, -55800, 0, -12390, 0, -8832, 0, 41360, 0, 0, 0, -4216, 0, 23396, 0, -3152, 0, -47976, 0, 0, 0, -14364, 0, 41408, 0, 134844, 0, -36394, 0, 0, 0, -30544, 0, 27296, 0, 132304, 0, 13684, 0, 0, 0, 48796, 0, 132378, 0, 73246, 0, 117552, 0, 0, 0, -7820, 0, 98112, 0, 9672, 0, 114072, 0, 0, 0, 30334, 0, -39168, 0, -9284, 0, 1704, 0, 0, 0, 108056, 0, -22052, 0, 47564, 0, 95464, 0, 0, 0, 17516, 0, 158648, 0, 27130, 0, -42808, 0, 0, 0, 42904, 0, -26746, 0, 204516, 0, 12696, 0, 0, 0, 93220, 0, 25584, 0, 31576, 0, -25544, 0, 0, 0, -76204, 0, 203016, 0, 57484, 0, -123350, 0, 0, 0, 104676, 0, -24748, 0, 197024, 0, -12576, 0, 0, 0, 88274, 0, -62104, 0, -86456, 0, -37148, 0, 0, 0, 42886, 0, 23920, 0, 100800, 0, -29496, 0, 0, 0, -14808, 0, 43124, 0, 157824, 0, 68490, 0, 0, 0, -16128, 0, -107984, 0, -46860, 0, 33448, 0, 0, 0, -5554, 0, 173864, 0, -102576, 0, -72972, 0, 0, 0, -63038, 0, -1856, 0, -262784, 0, -153932, 0, 0, 0, -13760, 0, -140624, 0, -162312, 0, 118512, 0, 0, 0, 57892, 0, 153312, 0, -181248, 0, -4136, 0, 0, 0, -28006, 0, -157660, 0, -166392, 0, -288, 0, 0, 0, -67420, 0, -182408, 0, 205436, 0, 77704, 0, 0, 0, -200644, 0, -171952, 0, -27646, 0, 41056, 0, 0, 0, -89572, 0, -67872, 0, -57844, 0, -70168, 0, 0, 0, 16156, 0, 144832, 0, 82804, 0, -27836, 0, 0, 0, 26612, 0, -12552, 0, -32916, 0, 135264, 0, 0, 0, 9192, 0, 30620, 0, -15850, 0, 176592, 0, 0, 0, 16008, 0, 2688, 0, -179356, 0, 100184, 0, 0, 0, -3042, 0, -190736, 0, -139124, 0, -97212, 0, 0, 0, 35452, 0, -69916, 0, 236020, 0, 69728, 0, 0, 0, -157720, 0, -220440, 0, 71818, 0, -142732, 0, 0, 0, -46052, 0, 26960, 0, -1914, 0, 20148, 0, 0, 0, 110084, 0, 63980, 0, -145296, 0, -18900, 0, 0, 0, -46508, 0, 6448, 0, 55444, 0, -203502, 0, 0, 0, -80752, 0, 178740, 0, 72574, 0, -40804, 0, 0, 0, 21648, 0, -107952, 0, 128814, 0, -128692, 0, 0, 0, 150224, 0, -16054, 0, -199792, 0, -50804, 0, 0, 0, -29764, 0, -152352, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 40481325
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321852156, 'source_is_minimal': False, 'source_label': '2300.4.a.c.1.2', 'source_level': 2300, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199321852156, 'target_is_minimal': False, 'target_label': '2300.4.a.c.1.2', 'target_level': 2300, 'twist_class_label': '460.4.a.b.1.4', 'twist_class_level': 460, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 40481326
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321852156, 'source_is_minimal': False, 'source_label': '2300.4.a.c.1.2', 'source_level': 2300, 'target_conrey_index': 1749, 'target_dim': 10, 'target_embedding_index': 8, 'target_hecke_orbit_code': 13510936388176124, 'target_is_minimal': False, 'target_label': '2300.4.c.d.1749.8', 'target_level': 2300, 'twist_class_label': '460.4.a.b.1.4', 'twist_class_level': 460, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 40481327
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321852156, 'source_is_minimal': False, 'source_label': '2300.4.a.c.1.2', 'source_level': 2300, 'target_conrey_index': 1749, 'target_dim': 10, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510936388176124, 'target_is_minimal': False, 'target_label': '2300.4.c.d.1749.3', 'target_level': 2300, 'twist_class_label': '460.4.a.b.1.4', 'twist_class_level': 460, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 40481328
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321852156, 'source_is_minimal': False, 'source_label': '2300.4.a.c.1.2', 'source_level': 2300, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503599694479820, 'target_is_minimal': True, 'target_label': '460.4.a.b.1.4', 'target_level': 460, 'twist_class_label': '460.4.a.b.1.4', 'twist_class_level': 460, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 40481329
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321852156, 'source_is_minimal': False, 'source_label': '2300.4.a.c.1.2', 'source_level': 2300, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394850297648, 'target_is_minimal': False, 'target_label': '1840.4.a.o.1.2', 'target_level': 1840, 'twist_class_label': '460.4.a.b.1.4', 'twist_class_level': 460, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2556475
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 9007199321852156, 'p': 2}
  • id: 2556476
    {'charpoly_factorization': [[[-2296, 1211, 121, -78, -3, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 3}
  • id: 2556477
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 9007199321852156, 'p': 5}
  • id: 2556478
    {'charpoly_factorization': [[[161268, 49858, -2141, -484, 8, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 7}
  • id: 2556479
    {'charpoly_factorization': [[[5888920, 170136, -53640, -2875, -7, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 11}
  • id: 2556480
    {'charpoly_factorization': [[[566705734, 20942951, -145131, -9228, 5, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 13}
  • id: 2556481
    {'charpoly_factorization': [[[308713360, 14664412, -114701, -9736, -24, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 17}
  • id: 2556482
    {'charpoly_factorization': [[[75549672, -12160368, 644352, -11801, 13, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 19}
  • id: 2556483
    {'charpoly_factorization': [[[-23, 1], 5]], 'hecke_orbit_code': 9007199321852156, 'p': 23}
  • id: 2556484
    {'charpoly_factorization': [[[3021093156, -53999362, -1802241, 6529, 253, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 29}
  • id: 2556485
    {'charpoly_factorization': [[[7527219975, 145218546, -2309949, -39559, 98, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 31}
  • id: 2556486
    {'charpoly_factorization': [[[-100253888, -52633952, 1005580, 38318, -435, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 37}
  • id: 2556487
    {'charpoly_factorization': [[[-691331956043, -8194582596, -15390155, 156307, 774, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 41}
  • id: 2556488
    {'charpoly_factorization': [[[11201296896, 848377152, 11796624, -44460, -498, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 43}
  • id: 2556489
    {'charpoly_factorization': [[[201337632, -295916388, 13348478, 8309, -572, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 47}
  • id: 2556490
    {'charpoly_factorization': [[[55648798000, -4407486992, 57343896, -74304, -665, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 53}
  • id: 2556491
    {'charpoly_factorization': [[[17454672233664, 61397816320, -398998148, -592354, 763, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 59}
  • id: 2556492
    {'charpoly_factorization': [[[-62953038747840, 174724178684, 352753310, -981237, -337, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 61}
  • id: 2556493
    {'charpoly_factorization': [[[387904064832, -20259685936, 192895500, -489938, -305, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 67}
  • id: 2556494
    {'charpoly_factorization': [[[8400024289995, -48138862666, -307082639, 260781, 1504, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 71}
  • id: 2556495
    {'charpoly_factorization': [[[7235588459208, -71750772536, 140935388, 349223, -1304, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 73}
  • id: 2556496
    {'charpoly_factorization': [[[-21668449786880, 99125479296, 271883408, -993884, -626, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 79}
  • id: 2556497
    {'charpoly_factorization': [[[-67480737623744, 24053785136, 1225772036, -403732, -1703, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 83}
  • id: 2556498
    {'charpoly_factorization': [[[-60037186156800, 446732997248, 527471648, -1350156, -646, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 89}
  • id: 2556499
    {'charpoly_factorization': [[[-6799511647880, 139131814032, -143381128, -1571639, -233, 1], 1]], 'hecke_orbit_code': 9007199321852156, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '2300.4.a.c', 'level': 2300, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 28792519
    {'hecke_orbit_code': 9007199321852156, 'n': 1, 'trace_an': 5}
  • id: 28792520
    {'hecke_orbit_code': 9007199321852156, 'n': 2, 'trace_an': 0}
  • id: 28792521
    {'hecke_orbit_code': 9007199321852156, 'n': 3, 'trace_an': 3}
  • id: 28792522
    {'hecke_orbit_code': 9007199321852156, 'n': 4, 'trace_an': 0}
  • id: 28792523
    {'hecke_orbit_code': 9007199321852156, 'n': 5, 'trace_an': 0}
  • id: 28792524
    {'hecke_orbit_code': 9007199321852156, 'n': 6, 'trace_an': 0}
  • id: 28792525
    {'hecke_orbit_code': 9007199321852156, 'n': 7, 'trace_an': -8}
  • id: 28792526
    {'hecke_orbit_code': 9007199321852156, 'n': 8, 'trace_an': 0}
  • id: 28792527
    {'hecke_orbit_code': 9007199321852156, 'n': 9, 'trace_an': 30}
  • id: 28792528
    {'hecke_orbit_code': 9007199321852156, 'n': 10, 'trace_an': 0}
  • id: 28792529
    {'hecke_orbit_code': 9007199321852156, 'n': 11, 'trace_an': 7}
  • id: 28792530
    {'hecke_orbit_code': 9007199321852156, 'n': 12, 'trace_an': 0}
  • id: 28792531
    {'hecke_orbit_code': 9007199321852156, 'n': 13, 'trace_an': -5}
  • id: 28792532
    {'hecke_orbit_code': 9007199321852156, 'n': 14, 'trace_an': 0}
  • id: 28792533
    {'hecke_orbit_code': 9007199321852156, 'n': 15, 'trace_an': 0}
  • id: 28792534
    {'hecke_orbit_code': 9007199321852156, 'n': 16, 'trace_an': 0}
  • id: 28792535
    {'hecke_orbit_code': 9007199321852156, 'n': 17, 'trace_an': 24}
  • id: 28792536
    {'hecke_orbit_code': 9007199321852156, 'n': 18, 'trace_an': 0}
  • id: 28792537
    {'hecke_orbit_code': 9007199321852156, 'n': 19, 'trace_an': -13}
  • id: 28792538
    {'hecke_orbit_code': 9007199321852156, 'n': 20, 'trace_an': 0}
  • id: 28792539
    {'hecke_orbit_code': 9007199321852156, 'n': 21, 'trace_an': 0}
  • id: 28792540
    {'hecke_orbit_code': 9007199321852156, 'n': 22, 'trace_an': 0}
  • id: 28792541
    {'hecke_orbit_code': 9007199321852156, 'n': 23, 'trace_an': 115}
  • id: 28792542
    {'hecke_orbit_code': 9007199321852156, 'n': 24, 'trace_an': 0}
  • id: 28792543
    {'hecke_orbit_code': 9007199321852156, 'n': 25, 'trace_an': 0}
  • id: 28792544
    {'hecke_orbit_code': 9007199321852156, 'n': 26, 'trace_an': 0}
  • id: 28792545
    {'hecke_orbit_code': 9007199321852156, 'n': 27, 'trace_an': 204}
  • id: 28792546
    {'hecke_orbit_code': 9007199321852156, 'n': 28, 'trace_an': 0}
  • id: 28792547
    {'hecke_orbit_code': 9007199321852156, 'n': 29, 'trace_an': -253}
  • id: 28792548
    {'hecke_orbit_code': 9007199321852156, 'n': 30, 'trace_an': 0}
  • id: 28792549
    {'hecke_orbit_code': 9007199321852156, 'n': 31, 'trace_an': -98}
  • id: 28792550
    {'hecke_orbit_code': 9007199321852156, 'n': 32, 'trace_an': 0}
  • id: 28792551
    {'hecke_orbit_code': 9007199321852156, 'n': 33, 'trace_an': 473}
  • id: 28792552
    {'hecke_orbit_code': 9007199321852156, 'n': 34, 'trace_an': 0}
  • id: 28792553
    {'hecke_orbit_code': 9007199321852156, 'n': 35, 'trace_an': 0}
  • id: 28792554
    {'hecke_orbit_code': 9007199321852156, 'n': 36, 'trace_an': 0}
  • id: 28792555
    {'hecke_orbit_code': 9007199321852156, 'n': 37, 'trace_an': 435}
  • id: 28792556
    {'hecke_orbit_code': 9007199321852156, 'n': 38, 'trace_an': 0}
  • id: 28792557
    {'hecke_orbit_code': 9007199321852156, 'n': 39, 'trace_an': -410}
  • id: 28792558
    {'hecke_orbit_code': 9007199321852156, 'n': 40, 'trace_an': 0}
  • id: 28792559
    {'hecke_orbit_code': 9007199321852156, 'n': 41, 'trace_an': -774}
  • id: 28792560
    {'hecke_orbit_code': 9007199321852156, 'n': 42, 'trace_an': 0}
  • id: 28792561
    {'hecke_orbit_code': 9007199321852156, 'n': 43, 'trace_an': 498}
  • id: 28792562
    {'hecke_orbit_code': 9007199321852156, 'n': 44, 'trace_an': 0}
  • id: 28792563
    {'hecke_orbit_code': 9007199321852156, 'n': 45, 'trace_an': 0}
  • id: 28792564
    {'hecke_orbit_code': 9007199321852156, 'n': 46, 'trace_an': 0}
  • id: 28792565
    {'hecke_orbit_code': 9007199321852156, 'n': 47, 'trace_an': 572}
  • id: 28792566
    {'hecke_orbit_code': 9007199321852156, 'n': 48, 'trace_an': 0}
  • id: 28792567
    {'hecke_orbit_code': 9007199321852156, 'n': 49, 'trace_an': -683}
  • id: 28792568
    {'hecke_orbit_code': 9007199321852156, 'n': 50, 'trace_an': 0}
  • id: 28792569
    {'hecke_orbit_code': 9007199321852156, 'n': 51, 'trace_an': -657}
  • id: 28792570
    {'hecke_orbit_code': 9007199321852156, 'n': 52, 'trace_an': 0}
  • id: 28792571
    {'hecke_orbit_code': 9007199321852156, 'n': 53, 'trace_an': 665}
  • id: 28792572
    {'hecke_orbit_code': 9007199321852156, 'n': 54, 'trace_an': 0}
  • id: 28792573
    {'hecke_orbit_code': 9007199321852156, 'n': 55, 'trace_an': 0}
  • id: 28792574
    {'hecke_orbit_code': 9007199321852156, 'n': 56, 'trace_an': 0}
  • id: 28792575
    {'hecke_orbit_code': 9007199321852156, 'n': 57, 'trace_an': 932}
  • id: 28792576
    {'hecke_orbit_code': 9007199321852156, 'n': 58, 'trace_an': 0}
  • id: 28792577
    {'hecke_orbit_code': 9007199321852156, 'n': 59, 'trace_an': -763}
  • id: 28792578
    {'hecke_orbit_code': 9007199321852156, 'n': 60, 'trace_an': 0}
  • id: 28792579
    {'hecke_orbit_code': 9007199321852156, 'n': 61, 'trace_an': 337}
  • id: 28792580
    {'hecke_orbit_code': 9007199321852156, 'n': 62, 'trace_an': 0}
  • id: 28792581
    {'hecke_orbit_code': 9007199321852156, 'n': 63, 'trace_an': 1527}
  • id: 28792582
    {'hecke_orbit_code': 9007199321852156, 'n': 64, 'trace_an': 0}
  • id: 28792583
    {'hecke_orbit_code': 9007199321852156, 'n': 65, 'trace_an': 0}
  • id: 28792584
    {'hecke_orbit_code': 9007199321852156, 'n': 66, 'trace_an': 0}
  • id: 28792585
    {'hecke_orbit_code': 9007199321852156, 'n': 67, 'trace_an': 305}
  • id: 28792586
    {'hecke_orbit_code': 9007199321852156, 'n': 68, 'trace_an': 0}
  • id: 28792587
    {'hecke_orbit_code': 9007199321852156, 'n': 69, 'trace_an': 69}
  • id: 28792588
    {'hecke_orbit_code': 9007199321852156, 'n': 70, 'trace_an': 0}
  • id: 28792589
    {'hecke_orbit_code': 9007199321852156, 'n': 71, 'trace_an': -1504}
  • id: 28792590
    {'hecke_orbit_code': 9007199321852156, 'n': 72, 'trace_an': 0}
  • id: 28792591
    {'hecke_orbit_code': 9007199321852156, 'n': 73, 'trace_an': 1304}
  • id: 28792592
    {'hecke_orbit_code': 9007199321852156, 'n': 74, 'trace_an': 0}
  • id: 28792593
    {'hecke_orbit_code': 9007199321852156, 'n': 75, 'trace_an': 0}
  • id: 28792594
    {'hecke_orbit_code': 9007199321852156, 'n': 76, 'trace_an': 0}
  • id: 28792595
    {'hecke_orbit_code': 9007199321852156, 'n': 77, 'trace_an': -182}
  • id: 28792596
    {'hecke_orbit_code': 9007199321852156, 'n': 78, 'trace_an': 0}
  • id: 28792597
    {'hecke_orbit_code': 9007199321852156, 'n': 79, 'trace_an': 626}
  • id: 28792598
    {'hecke_orbit_code': 9007199321852156, 'n': 80, 'trace_an': 0}
  • id: 28792599
    {'hecke_orbit_code': 9007199321852156, 'n': 81, 'trace_an': -959}
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  • id: 28792698
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  • id: 28792704
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  • id: 28792705
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  • id: 28792708
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