Embedded newform data - 882.4.a.bg.1.2

Formats: - HTML - YAML - JSON - 2024-04-16T16:39:23.096316

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 14112, 'analytic_conductor': 52.039684625063224, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [7, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [882, 1, [785, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-392, 0, 1]], [11, [-14, 1]], [13, [-2592, 0, 1]]], 'hecke_orbit': 33, 'hecke_orbit_code': 144115188142965618, 'hecke_ring_generator_nbound': 17, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '882.4.a.bg', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '98.4.a.g', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}+4q^{4}+14\\beta q^{5}+8q^{8}+28\\beta q^{10}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '882.4.a', 'trace_display': [4, 0, 0, 0], 'trace_hash': 254078670682064587, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.817', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.219', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.308', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.476', 'prec': 17}, {'__RealLiteral__': 0, 'data': '123.308', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 17}, 'traces': [2, 4, 0, 8, 0, 0, 0, 16, 0, 0, 28, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 56, -280, 0, 534, 0, 0, 0, 572, 0, 0, 64, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -68, 112, 0, -560, 0, 0, 0, 1068, 0, 0, 148, 0, 0, 0, 0, 1144, 0, 0, 0, 0, 0, 128, 2016, 0, 1368, 0, 0, 0, -1176, 0, 0, -152, 0, 0, 0, 0, 2440, 0, 0, 0, 0, 0, -56, -136, 0, 224, 0, 0, 0, -1120, 0, 0, -56, 0, 0, 0, 0, 2136, 0, 0, 0, 0, 0, 296, 3368, 0, -1636, 0, 0, 0, 1080, 0, 0, 2288, 0, 0, 0, 0, -2270, 0, 0, 0, 0, 0, 3440, 256, 0, 4032, 0, 0, 0, 2736, 0, 0, -1656, 0, 0, 0, 0, -2352, 0, 0, 0, 0, 0, -304, -4100, 0, -944, 0, 0, 0, -3696, 0, 0, 4880, 0, 0, 0, 0, 6572, 0, 0, 0, 0, 0, 790, -112, 0, -272, 0, 0, 0, 448, 0, 0, -1080, 0, 0, 0, 0, -2240, 0, 0, 0, 0, 0, -112, -2056, 0, 9184, 0, 0, 0, -1588, 0, 0, 4272, 0, 0, 0, 0, 4984, 0, 0, 0, 0, 0, -5496, 592, 0, 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1}
• 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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[0.0, 0.0], [0.06945151918441463, 0.0], [-0.7767075105036325, 0.0], [0.0, 0.0], [0.7112485022831331, 0.0]], 'angles': [None, None, -0.0769293373632688, None, -0.21927226286970808, -0.1586269601667853, -0.2516056065029236, -0.25135887656517103, -0.35941943653532266, -0.06583035466671666, -0.2935758854097599, -0.26345204661883753, -0.2114726367268639, -0.25960129522668574, -0.4008023516576539, -0.2347146319578509, -0.3295022768471674, -0.24763774744615943, -0.14283243000117454, -0.3317624345507898, -0.28473825780175277, -0.08246554357786355, -0.29510112592201654, -0.3099835552191292, -0.10851401026228914, -0.3438153750322443, -0.3181676525498066, -0.1124180420446762, -0.3085100872559867, -0.21391780649125222, -0.14740706419247304, -0.15178813744727807, -0.29156107676961307, -0.27072898244861876, -0.3452853944614915, -0.27029759762354677, -0.34501781676162013, -0.10516807529827056, -0.19388125764878977, -0.1748298262013037, -0.2679816150660303, -0.10835566144753582, -0.28119009140558177, -0.08637268473860336, -0.2729305709320056, -0.1769895731606112, -0.3239841375243842, -0.336049700401519, -0.3907360705244055, -0.31491692606394217, -0.2516110023248693, -0.34905544146145756, -0.2829930504883162, -0.2686929968024525, -0.26814933242647576, -0.4078514260702396, -0.33749754781726304, -0.2926881418940935, -0.17846758465916412, -0.14046135990493294, -0.3365902998890876, -0.28148493986315287, -0.32306690897898, -0.14400822971038998, -0.34439092127032145, -0.41809514005384274, -0.32903262330107896, -0.27915621022843723, -0.22545300340639063, -0.1631002216801428, -0.33838221475520136, -0.3219662867251249, -0.25954580843613684, -0.3150485218643765, -0.12658681652408377, -0.26066818621694077, -0.30513468900174523, -0.2507398169569364, -0.24506402964545285, -0.21748808004438974, -0.411080492286241, -0.14188451730084456, -0.20155024570171132, -0.3086087422403561, -0.11324005297278802, -0.3020991149530166, -0.2720007425069885, -0.15276943124290734, -0.3322980156443516, -0.21822210870307265, -0.4170898211943497, -0.2674038873107692, -0.24280035488646176, -0.1947420222897743, -0.34253662630214454, -0.23292840328044395, -0.21002808953119173, -0.25000946342945685, -0.33562001887156345, -0.23702134924595739, -0.15370093098328197, -0.2926030781205444, -0.24024678587745904, -0.2076274814425202, -0.38620799522335675, -0.30143602118330903, -0.28671729458573, -0.10208540263016301, -0.18705580070151057, -0.20214664204242966, -0.1353042076099667, -0.15563098272731066, -0.14336893955579585, -0.35369180552107754, -0.3268310922459521, -0.2732762767333427, -0.15066836297472597, -0.2958035291385848, -0.26803649977711635, -0.1425282814676128, -0.29938233245816925, -0.25530641223529116, -0.3900545593951113, -0.17304844192114574, -0.1996680447919836, -0.23818112126145233, -0.10772119133019163, -0.17423997833240076, -0.12078712366044594, -0.1548428294865602, -0.16399791418339738, -0.1421256745609093, -0.1245920359814437, -0.3582903500296778, -0.2761331482085161, -0.28406081072052175, -0.24950777412589797, -0.28167451754718303, -0.2767143025099648, -0.2630733786796587, -0.3934887372794303, -0.1932963462344757, -0.17259089644364445, -0.21069382906968195, -0.36207539393414634, -0.30997105459097085, -0.3183807984532532, -0.4264948940896723, -0.24978096596426017, -0.23285370785275808, -0.14781317636491753, -0.26812759056517693, -0.1346269405846504, -0.280197517540565, -0.34167258307095855, -0.3137396265151728, -0.27376190532134753, -0.10111278586653565, -0.21740604490437787, -0.2500389870794425, -0.2887021686997565, -0.1207653451990369, -0.3992685041075803, -0.41805817145033697, -0.0692828088925529, -0.09702735896492372, -0.35980405883089456, -0.24447211233508612], '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': 1.4142135623730951, 'hecke_orbit': 33, 'hecke_orbit_code': 144115188142965618, 'label': '882.4.a.bg.1.2', 'level': 882, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1]], 7, 7], [[[2, -1], [3, 1], [7, -1]], 6, 4], [[[2, -1], [3, -1], [7, 1]], 9, 6], [[[2, 1], [3, -1], [7, -1]], 8, 6], [[[2, 1], [3, -1], [7, 1]], 7, 4], [[[2, -1], [3, 1], [7, 1]], 4, 2], [[[2, 1], [3, 1], [7, -1]], 6, 4], [[[2, 1], [3, 1], [7, 1]], 4, 2]], 'ALdims': [4, 6, 7, 8, 4, 6, 9, 7], 'Nk2': 14112, 'analytic_conductor': 52.039684625063224, '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': [882, 1, [785, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 472, 'dim': 51, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 67109746, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '882.4.a', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 536, 'mf_new_dim': 51, 'num_forms': 35, 'plus_dim': 27, 'prim_orbit_index': 1, 'relative_dim': 51, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [2, 0, 0, 0], 'traces': [51, 2, 0, 204, 0, 0, 0, 8, 0, 32, -56, 0, 68, 0, 0, 816, -162, 0, -198, 0, 0, -56, -28, 0, 909, -152, 0, 0, 530, 0, 692, 32, 0, 148, 0, 0, 1170, -260, 0, 128, 798, 0, 4, -224, 0, -32, -180, 0, 0, -314, 0, 272, -182, 0, -80, 0, 0, 396, -1986, 0, 1112, 472, 0, 3264, -792, 0, 816, -648, 0, 0, 2568, 0, 1342, 1956, 0, -792, 0, 0, -956, 0, 0, 1236, 78, 0, -1436, 616, 0, -224, 1650, 0, 0, -112, 0, -792, -764, 0, -902, 0, 0, 3636, -3456, 0, -4476, -608, 0, 772, 2048, 0, -4198, -4704, 0, 0, 2946, 0, 256, 2120, 0, 2420, 0, 0, 5899, 1792, 0, 2768, 1584, 0, -5912, 128, 0, 2896, 3462, 0, 0, -3448, 0, 592, 4650, 0, 3718, 0, 0, 1904, 5424, 0, -6640, -956, 0, 4680, 6034, 0, -1796, -1040, 0, 0, 1116, 0, 2436, 7696, 0, 512, 0, 0, -624, 3192, 0, 1972, 5052, 0, 2401, 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• 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: 48797005
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 144115188142965618, 'target_is_minimal': False, 'target_label': '882.4.a.bg.1.2', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48797006
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831331938, 'target_is_minimal': True, 'target_label': '98.4.a.g.1.1', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48797007
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117094002695603058, 'target_is_minimal': False, 'target_label': '882.4.g.ba.361.1', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48797008
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 667, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117094002695603058, 'target_is_minimal': False, 'target_label': '882.4.g.ba.667.2', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48797009
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 667, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117094002695603058, 'target_is_minimal': False, 'target_label': '882.4.g.ba.667.1', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48797010
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 361, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117094002695603058, 'target_is_minimal': False, 'target_label': '882.4.g.ba.361.2', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48797011
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188142965618, 'target_is_minimal': False, 'target_label': '882.4.a.bg.1.1', 'target_level': 882, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48797012
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391124001552, 'target_is_minimal': False, 'target_label': '784.4.a.y.1.2', 'target_level': 784, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48797013
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 220676381808265618, 'target_is_minimal': False, 'target_label': '2450.4.a.bx.1.2', 'target_level': 2450, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48797014
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525334897655906, 'target_is_minimal': False, 'target_label': '98.4.c.h.67.2', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48797015
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334897655906, 'target_is_minimal': False, 'target_label': '98.4.c.h.67.1', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48797016
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525334897655906, 'target_is_minimal': False, 'target_label': '98.4.c.h.79.2', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48797017
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334897655906, 'target_is_minimal': False, 'target_label': '98.4.c.h.79.1', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 4}
  • id: 48797018
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831331938, 'target_is_minimal': True, 'target_label': '98.4.a.g.1.2', 'target_level': 98, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 48797019
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124001552, 'target_is_minimal': False, 'target_label': '784.4.a.y.1.1', 'target_level': 784, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 48797020
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 144115188142965618, 'source_is_minimal': False, 'source_label': '882.4.a.bg.1.2', 'source_level': 882, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 220676381808265618, 'target_is_minimal': False, 'target_label': '2450.4.a.bx.1.1', 'target_level': 2450, 'twist_class_label': '98.4.a.g.1.1', 'twist_class_level': 98, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1447300
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 2}
  • id: 1447301
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 3}
  • id: 1447302
    {'charpoly_factorization': [[[-392, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 5}
  • id: 1447303
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 7}
  • id: 1447304
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 11}
  • id: 1447305
    {'charpoly_factorization': [[[-2592, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 13}
  • id: 1447306
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 17}
  • id: 1447307
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 19}
  • id: 1447308
    {'charpoly_factorization': [[[140, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 23}
  • id: 1447309
    {'charpoly_factorization': [[[-286, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 29}
  • id: 1447310
    {'charpoly_factorization': [[[-8712, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 31}
  • id: 1447311
    {'charpoly_factorization': [[[38, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 37}
  • id: 1447312
    {'charpoly_factorization': [[[-15842, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 41}
  • id: 1447313
    {'charpoly_factorization': [[[34, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 43}
  • id: 1447314
    {'charpoly_factorization': [[[-273800, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 47}
  • id: 1447315
    {'charpoly_factorization': [[[-74, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 53}
  • id: 1447316
    {'charpoly_factorization': [[[-188498, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 59}
  • id: 1447317
    {'charpoly_factorization': [[[-200, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 61}
  • id: 1447318
    {'charpoly_factorization': [[[-684, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 67}
  • id: 1447319
    {'charpoly_factorization': [[[588, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 71}
  • id: 1447320
    {'charpoly_factorization': [[[-72962, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 73}
  • id: 1447321
    {'charpoly_factorization': [[[-1220, 1], 2]], 'hecke_orbit_code': 144115188142965618, 'p': 79}
  • id: 1447322
    {'charpoly_factorization': [[[-178802, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 83}
  • id: 1447323
    {'charpoly_factorization': [[[-381938, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, 'p': 89}
  • id: 1447324
    {'charpoly_factorization': [[[-2200802, 0, 1], 1]], 'hecke_orbit_code': 144115188142965618, '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': 33, 'label': '882.4.a.bg', 'level': 882, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 268300000
    {'hecke_orbit_code': 144115188142965618, 'n': 1, 'trace_an': 2}
  • id: 268300001
    {'hecke_orbit_code': 144115188142965618, 'n': 2, 'trace_an': 4}
  • id: 268300002
    {'hecke_orbit_code': 144115188142965618, 'n': 3, 'trace_an': 0}
  • id: 268300003
    {'hecke_orbit_code': 144115188142965618, 'n': 4, 'trace_an': 8}
  • id: 268300004
    {'hecke_orbit_code': 144115188142965618, 'n': 5, 'trace_an': 0}
  • id: 268300005
    {'hecke_orbit_code': 144115188142965618, 'n': 6, 'trace_an': 0}
  • id: 268300006
    {'hecke_orbit_code': 144115188142965618, 'n': 7, 'trace_an': 0}
  • id: 268300007
    {'hecke_orbit_code': 144115188142965618, 'n': 8, 'trace_an': 16}
  • id: 268300008
    {'hecke_orbit_code': 144115188142965618, 'n': 9, 'trace_an': 0}
  • id: 268300009
    {'hecke_orbit_code': 144115188142965618, 'n': 10, 'trace_an': 0}
  • id: 268300010
    {'hecke_orbit_code': 144115188142965618, 'n': 11, 'trace_an': 28}
  • id: 268300011
    {'hecke_orbit_code': 144115188142965618, 'n': 12, 'trace_an': 0}
  • id: 268300012
    {'hecke_orbit_code': 144115188142965618, 'n': 13, 'trace_an': 0}
  • id: 268300013
    {'hecke_orbit_code': 144115188142965618, 'n': 14, 'trace_an': 0}
  • id: 268300014
    {'hecke_orbit_code': 144115188142965618, 'n': 15, 'trace_an': 0}
  • id: 268300015
    {'hecke_orbit_code': 144115188142965618, 'n': 16, 'trace_an': 32}
  • id: 268300016
    {'hecke_orbit_code': 144115188142965618, 'n': 17, 'trace_an': 0}
  • id: 268300017
    {'hecke_orbit_code': 144115188142965618, 'n': 18, 'trace_an': 0}
  • id: 268300018
    {'hecke_orbit_code': 144115188142965618, 'n': 19, 'trace_an': 0}
  • id: 268300019
    {'hecke_orbit_code': 144115188142965618, 'n': 20, 'trace_an': 0}
  • id: 268300020
    {'hecke_orbit_code': 144115188142965618, 'n': 21, 'trace_an': 0}
  • id: 268300021
    {'hecke_orbit_code': 144115188142965618, 'n': 22, 'trace_an': 56}
  • id: 268300022
    {'hecke_orbit_code': 144115188142965618, 'n': 23, 'trace_an': -280}
  • id: 268300023
    {'hecke_orbit_code': 144115188142965618, 'n': 24, 'trace_an': 0}
  • id: 268300024
    {'hecke_orbit_code': 144115188142965618, 'n': 25, 'trace_an': 534}
  • id: 268300025
    {'hecke_orbit_code': 144115188142965618, 'n': 26, 'trace_an': 0}
  • id: 268300026
    {'hecke_orbit_code': 144115188142965618, 'n': 27, 'trace_an': 0}
  • id: 268300027
    {'hecke_orbit_code': 144115188142965618, 'n': 28, 'trace_an': 0}
  • id: 268300028
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  • id: 268300188
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  • id: 268300189
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  • id: 268300219
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