Embedded newform data - 1849.4.a.k.1.16

Formats: - HTML - YAML - JSON - 2024-05-02T01:43:44.525775

• 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': 29584, 'analytic_conductor': 109.0945316006144, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[43, -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': [1849, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 60, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-2529533386365239033856, -12209595934718941986816, 155934491844585254289408, 188990798671911485177856, -2592083561540781905805312, -744818236566826902355968, 19480279901349842081284096, -2192936704506297486016512, -78244083184919594758701056, 23595891646173815750656000, 184867564746078408743485440, -67657981395793818177290240, -284530292118177648585682944, 104133669750272832279310336, 306586103550170392809271296, -101984255664253459668672512, -242652951666750664525835776, 68757702887731642279067008, 145768377586674742423989504, -33291913702876384233666560, -68035648592675135956465920, 11812364028581812133549432, 25104060895554202837291896, -3065681596991483814085508, -7420670733956834319773837, 558037159542351783297983, 1775331047413372317015630, -58852123543519659971410, -346458603055378259276252, -1494064276645621067631, 55469913015820749464926, 2094308551955825146762, -7314136751374773477710, -496554627949543300927, 795804600342809660872, 76000609290317529832, -71440360616391816753, -8676938553226084948, 5278558527812491047, 774689085493537061, -319296020833109291, -55145123993405874, 15664305748907456, 3151744185800009, -613680777583165, -144547602732607, 18702041278648, 5283409360092, -422041101572, -151834865223, 6271784460, 3354837506, -35445407, -54981878, -791213, 629257, 22002, -4487, -234, 15, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340815673, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1849.4.a.k', 'level': 1849, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [43], 'level_radical': 43, 'minimal_twist': '43.4.g.a', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 60, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1849.4.a', 'trace_display': [-15, -37, -51, -54], 'traces': [60, -15, -37, 213, -51, 22, -54, -204, 387, 27, 43, -432, 13, 96, 65, 717, -138, -625, -610, -345, 611, -118, -243, 258, 899, -1071, -1609, -46, -773, -375, -97, -1967, -500, -217, 247, 175, -228, 1253, -1493, 2220, -951, -2643, 0, -1378, -1086, 565, -2, -2303, 1264, -3273, -3076, -2825, -39, 5201, -1306, 3683, 1342, 2588, -1065, 2803, -2999, -5569, -2377, 2082, -5578, 3338, 961, -3754, -1817, -2738, -8003, -1412, 1011, -1413, -7457, -5516, -4052, 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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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'dual_embedding_index': 16, 'dual_embedding_m': 16, 'embedding_index': 16, 'embedding_m': 16, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340815673, 'label': '1849.4.a.k.1.16', 'level': 1849, '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': [[[[43, 1]], 221, 6], [[[43, -1]], 210, 7]], 'ALdims': [221, 210], 'Nk2': 29584, 'analytic_conductor': 109.0945316006144, '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': [1849, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 451, 'dim': 431, 'eis_dim': 44, 'eis_new_dim': 41, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 67110713, 'hecke_orbit_dims': [1, 4, 6, 10, 10, 10, 30, 30, 50, 50, 60, 60, 110], 'label': '1849.4.a', 'level': 1849, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [43], 'level_radical': 43, 'mf_dim': 495, 'mf_new_dim': 472, 'num_forms': 13, 'plus_dim': 221, 'prim_orbit_index': 1, 'relative_dim': 431, 'sturm_bound': 630, 'trace_bound': 2, 'trace_display': [-2, 4, -16, 12], 'traces': [431, -2, 4, 1656, -16, 30, 12, 12, 3519, -54, 80, 96, -58, 72, 32, 5900, 196, -218, 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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: 47139269
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 60, 'source_embedding_index': 16, 'source_hecke_orbit_code': 45035996340815673, 'source_is_minimal': False, 'source_label': '1849.4.a.k.1.16', 'source_level': 1849, 'target_conrey_index': 1, 'target_dim': 60, 'target_embedding_index': 16, 'target_hecke_orbit_code': 45035996340815673, 'target_is_minimal': False, 'target_label': '1849.4.a.k.1.16', 'target_level': 1849, 'twist_class_label': '43.4.g.a.10.3', 'twist_class_level': 43, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47139270
    {'conductor': 43, 'degree': 12, 'order': 42, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 60, 'source_embedding_index': 16, 'source_hecke_orbit_code': 45035996340815673, 'source_is_minimal': False, 'source_label': '1849.4.a.k.1.16', 'source_level': 1849, 'target_conrey_index': 13, 'target_dim': 120, 'target_embedding_index': 3, 'target_hecke_orbit_code': 412383969323, 'target_is_minimal': True, 'target_label': '43.4.g.a.13.3', 'target_level': 43, 'twist_class_label': '43.4.g.a.10.3', 'twist_class_level': 43, 'twisting_char_label': '43.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 47139271
    {'conductor': 43, 'degree': 12, 'order': 42, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 60, 'source_embedding_index': 16, 'source_hecke_orbit_code': 45035996340815673, 'source_is_minimal': False, 'source_label': '1849.4.a.k.1.16', 'source_level': 1849, 'target_conrey_index': 10, 'target_dim': 120, 'target_embedding_index': 3, 'target_hecke_orbit_code': 412383969323, 'target_is_minimal': True, 'target_label': '43.4.g.a.10.3', 'target_level': 43, 'twist_class_label': '43.4.g.a.10.3', 'twist_class_level': 43, 'twisting_char_label': '43.28', 'twisting_conrey_index': 28, 'weight': 4}
  • id: 47139272
    {'conductor': 43, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 60, 'source_embedding_index': 16, 'source_hecke_orbit_code': 45035996340815673, 'source_is_minimal': False, 'source_label': '1849.4.a.k.1.16', 'source_level': 1849, 'target_conrey_index': 1, 'target_dim': 60, 'target_embedding_index': 45, 'target_hecke_orbit_code': 49539595968186169, 'target_is_minimal': False, 'target_label': '1849.4.a.l.1.45', 'target_level': 1849, 'twist_class_label': '43.4.g.a.10.3', 'twist_class_level': 43, 'twisting_char_label': '43.42', 'twisting_conrey_index': 42, 'weight': 4}
• hecke_orbit_code 45035996340815673 does not appear in mf_hecke_charpolys
• 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': 11, 'label': '1849.4.a.k', 'level': 1849, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 214091000
    {'hecke_orbit_code': 45035996340815673, 'n': 1, 'trace_an': 60}
  • id: 214091001
    {'hecke_orbit_code': 45035996340815673, 'n': 2, 'trace_an': -15}
  • id: 214091002
    {'hecke_orbit_code': 45035996340815673, 'n': 3, 'trace_an': -37}
  • id: 214091003
    {'hecke_orbit_code': 45035996340815673, 'n': 4, 'trace_an': 213}
  • id: 214091004
    {'hecke_orbit_code': 45035996340815673, 'n': 5, 'trace_an': -51}
  • id: 214091005
    {'hecke_orbit_code': 45035996340815673, 'n': 6, 'trace_an': 22}
  • id: 214091006
    {'hecke_orbit_code': 45035996340815673, 'n': 7, 'trace_an': -54}
  • id: 214091007
    {'hecke_orbit_code': 45035996340815673, 'n': 8, 'trace_an': -204}
  • id: 214091008
    {'hecke_orbit_code': 45035996340815673, 'n': 9, 'trace_an': 387}
  • id: 214091009
    {'hecke_orbit_code': 45035996340815673, 'n': 10, 'trace_an': 27}
  • id: 214091010
    {'hecke_orbit_code': 45035996340815673, 'n': 11, 'trace_an': 43}
  • id: 214091011
    {'hecke_orbit_code': 45035996340815673, 'n': 12, 'trace_an': -432}
  • id: 214091012
    {'hecke_orbit_code': 45035996340815673, 'n': 13, 'trace_an': 13}
  • id: 214091013
    {'hecke_orbit_code': 45035996340815673, 'n': 14, 'trace_an': 96}
  • id: 214091014
    {'hecke_orbit_code': 45035996340815673, 'n': 15, 'trace_an': 65}
  • id: 214091015
    {'hecke_orbit_code': 45035996340815673, 'n': 16, 'trace_an': 717}
  • id: 214091016
    {'hecke_orbit_code': 45035996340815673, 'n': 17, 'trace_an': -138}
  • id: 214091017
    {'hecke_orbit_code': 45035996340815673, 'n': 18, 'trace_an': -625}
  • id: 214091018
    {'hecke_orbit_code': 45035996340815673, 'n': 19, 'trace_an': -610}
  • id: 214091019
    {'hecke_orbit_code': 45035996340815673, 'n': 20, 'trace_an': -345}
  • id: 214091020
    {'hecke_orbit_code': 45035996340815673, 'n': 21, 'trace_an': 611}
  • id: 214091021
    {'hecke_orbit_code': 45035996340815673, 'n': 22, 'trace_an': -118}
  • id: 214091022
    {'hecke_orbit_code': 45035996340815673, 'n': 23, 'trace_an': -243}
  • id: 214091023
    {'hecke_orbit_code': 45035996340815673, 'n': 24, 'trace_an': 258}
  • id: 214091024
    {'hecke_orbit_code': 45035996340815673, 'n': 25, 'trace_an': 899}
  • id: 214091025
    {'hecke_orbit_code': 45035996340815673, 'n': 26, 'trace_an': -1071}
  • id: 214091026
    {'hecke_orbit_code': 45035996340815673, 'n': 27, 'trace_an': -1609}
  • id: 214091027
    {'hecke_orbit_code': 45035996340815673, 'n': 28, 'trace_an': -46}
  • id: 214091028
    {'hecke_orbit_code': 45035996340815673, 'n': 29, 'trace_an': -773}
  • id: 214091029
    {'hecke_orbit_code': 45035996340815673, 'n': 30, 'trace_an': -375}
  • id: 214091030
    {'hecke_orbit_code': 45035996340815673, 'n': 31, 'trace_an': -97}
  • id: 214091031
    {'hecke_orbit_code': 45035996340815673, 'n': 32, 'trace_an': -1967}
  • id: 214091032
    {'hecke_orbit_code': 45035996340815673, 'n': 33, 'trace_an': -500}
  • id: 214091033
    {'hecke_orbit_code': 45035996340815673, 'n': 34, 'trace_an': -217}
  • id: 214091034
    {'hecke_orbit_code': 45035996340815673, 'n': 35, 'trace_an': 247}
  • id: 214091035
    {'hecke_orbit_code': 45035996340815673, 'n': 36, 'trace_an': 175}
  • id: 214091036
    {'hecke_orbit_code': 45035996340815673, 'n': 37, 'trace_an': -228}
  • id: 214091037
    {'hecke_orbit_code': 45035996340815673, 'n': 38, 'trace_an': 1253}
  • id: 214091038
    {'hecke_orbit_code': 45035996340815673, 'n': 39, 'trace_an': -1493}
  • id: 214091039
    {'hecke_orbit_code': 45035996340815673, 'n': 40, 'trace_an': 2220}
  • id: 214091040
    {'hecke_orbit_code': 45035996340815673, 'n': 41, 'trace_an': -951}
  • id: 214091041
    {'hecke_orbit_code': 45035996340815673, 'n': 42, 'trace_an': -2643}
  • id: 214091042
    {'hecke_orbit_code': 45035996340815673, 'n': 43, 'trace_an': 0}
  • id: 214091043
    {'hecke_orbit_code': 45035996340815673, 'n': 44, 'trace_an': -1378}
  • id: 214091044
    {'hecke_orbit_code': 45035996340815673, 'n': 45, 'trace_an': -1086}
  • id: 214091045
    {'hecke_orbit_code': 45035996340815673, 'n': 46, 'trace_an': 565}
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    {'hecke_orbit_code': 45035996340815673, 'n': 993, 'trace_an': -14661}
  • id: 214091993
    {'hecke_orbit_code': 45035996340815673, 'n': 994, 'trace_an': 32265}
  • id: 214091994
    {'hecke_orbit_code': 45035996340815673, 'n': 995, 'trace_an': -14951}
  • id: 214091995
    {'hecke_orbit_code': 45035996340815673, 'n': 996, 'trace_an': 182332}
  • id: 214091996
    {'hecke_orbit_code': 45035996340815673, 'n': 997, 'trace_an': -488}
  • id: 214091997
    {'hecke_orbit_code': 45035996340815673, 'n': 998, 'trace_an': -101034}
  • id: 214091998
    {'hecke_orbit_code': 45035996340815673, 'n': 999, 'trace_an': -343829}
  • id: 214091999
    {'hecke_orbit_code': 45035996340815673, 'n': 1000, 'trace_an': -242351}