Embedded newform data - 90.16.a.k.1.2

Formats: - HTML - YAML - JSON - 2025-12-30T12:44:28.541461

• 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': 23040, 'analytic_conductor': 128.42415458992838, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [5, -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': [90, 1, [11, 37], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 20672521, 'field_disc_factorization': [[317, 1], [65213, 1]], 'field_poly': [-5168130, -1, 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': [[7, [447259416604, 1761200, 1]], [11, [-2597247548387316, 11981640, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996542140506, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '90.16.a.k', 'level': 90, '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, 3, 5], 'level_radical': 30, 'minimal_twist': '90.16.a.k', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{7}q^{2}+2^{14}q^{4}+5^{7}q^{5}+(-880600+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '90.16.a', 'trace_display': [-256, 0, 156250, -1761200], 'trace_hash': 1485928522188705810, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.126', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '71.312', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -256, 0, 32768, 156250, 0, -1761200, -4194304, 0, -20000000, -11981640, 0, 88928320, 225433600, 0, 536870912, -234312756, 0, 3086064208, 2560000000, 0, 1533649920, 7357553280, 0, 12207031250, -11382824960, 0, -28855500800, -106516740300, 0, -80812338008, -68719476736, 0, 29992032768, -137593750000, 0, -783787471400, -395016218624, 0, -327680000000, -125811612720, 0, -700693895840, -196307189760, 0, -941766819840, 2028162668400, 0, -7287816413094, -1562500000000, 0, 1457001594880, 16011801636996, 0, -936065625000, 3693504102400, 0, 13634142758400, 20778903613320, 0, 6823475639524, 10343979265024, 0, 8796093022208, 6947525000000, 0, 21554311388800, -3838980194304, 0, 17612000000000, 48887974479120, 0, -37196698499300, 100324796339200, 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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[-1.8788381645564, 0.0], [0.0, 0.0], [0.11643401646186254, 0.0], [-0.4557028959798301, 0.0], [0.0, 0.0], [-0.26923850325327076, 0.0], [0.719474642215331, 0.0], [0.0, 0.0], [-0.08351043714207339, 0.0], [-0.21914702812303696, 0.0], [0.0, 0.0], [0.9121916919351619, 0.0], [-1.9195174096500902, 0.0], [0.0, 0.0], [0.18263685821121384, 0.0], [-1.2989590650398066, 0.0], [0.0, 0.0], [0.02461783902715158, 0.0], [1.8609797659775196, 0.0], [0.0, 0.0], [-0.8015264177357009, 0.0], [0.14311310903903, 0.0], [0.0, 0.0], [0.1060524425771974, 0.0], [0.0327739202117891, 0.0], [0.0, 0.0], [-0.8020348875592186, 0.0], [0.1854391062094109, 0.0], [0.0, 0.0], [-0.03162277660168379, 0.0]], 'angles': [None, None, None, -0.2612477439326216, -0.19298412660194772, -0.2425905947938391, -0.3958331439738848, -0.2073977553080852, -0.1178397893893883, -0.34825389056575573, -0.31632681890968545, -0.41566932405731527, -0.27594969483932646, -0.1414764504538081, -0.23384804114312174, -0.13064308647260844, -0.2632107622026251, -0.3405000615132726, -0.148671518090396, -0.16090879305712572, -0.3116829515376892, -0.22348547778104047, -0.16896148418553275, -0.2594822544189046, -0.2377531236582929, -0.09968783252641496, -0.2999116012499774, -0.28163469022303234, -0.33384636207626817, -0.2604466795929555, -0.30294883543469797, -0.336001482523896, -0.34286215753105437, -0.31762442443083705, -0.26697926530320315, -0.2891482786803014, -0.34726549282105196, -0.435564847705156, -0.2252514266556338, -0.17591854499813908, -0.30820767977190483, -0.40450969057308545, -0.19630824534138017, -0.18088147280419034, -0.2172712965575062, -0.24416688198321357, -0.26299236445066293, -0.3834788705428561, -0.30008922277165645, -0.30718358973645593, -0.23117137458736023, -0.41460678667559775, -0.15857756831618983, -0.21128322163784474, -0.28844952850449745, -0.34375918830020935, -0.334916103637613, -0.28733636451361044, -0.24493125942165908, -0.36011264206853955, -0.032660989409844604, -0.20524454611132517, 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-0.4028270516040124, -0.4498332003107428, -0.23109803280621485, -0.3127348177443346, -0.2788086321275115, -0.24358537181620724, -0.18809841963637972, -0.16914592428802788, -0.2378819069810047, -0.4443172961319806, -0.19143315307114836, -0.45469581199313674, -0.3156274972843707, -0.3156716645067242], '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': -2272.852205444638, 'hecke_orbit': 11, 'hecke_orbit_code': 45035996542140506, 'label': '90.16.a.k.1.2', 'level': 90, 'weight': 16}
• 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': [3, 2, 4, 4, 2, 3, 4, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [31, 30, 28, 29, 31, 30, 29, 29], 'Nk2': 23040, 'analytic_conductor': 128.42415458992838, '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': [90, 1, [11, 37], [1, 1]], 'conrey_index': 1, 'cusp_dim': 262, 'dim': 25, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 268435546, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3], 'label': '90.16.a', 'level': 90, '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, 3, 5], 'level_radical': 30, 'mf_dim': 278, 'mf_new_dim': 25, 'num_forms': 16, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 25, 'sturm_bound': 288, 'trace_bound': 7, 'trace_display': [-128, 0, -78125, -6965452], 'traces': [25, -128, 0, 409600, -78125, 0, -6965452, -2097152, 0, 10000000, -89994720, 0, 384456014, -472384000, 0, 6710886400, -4644465186, 0, -1923622540, -1280000000, 0, 13494391296, -3208576956, 0, 152587890625, 128237361920, 0, -114121965568, 296716736970, 0, 167075266520, -34359738368, 0, 393406967040, -52331875000, 0, -741791779978, -1643885029888, 0, 163840000000, -3850654041390, 0, 3820124068640, -1474473492480, 0, 1414181130240, 2516905040892, 0, 10540310224065, -781250000000, 0, 6298927333376, 11975150455986, 0, -6415069687500, -7739539456000, 0, 33353638822656, 77305092508200, 0, -9217047570610, -115486488337408, 0, 109951162777600, -61769405781250, 0, -58043797920688, -76094917607424, 0, -44127760000000, 12266731844280, 0, 53005048769930, -166543590657280, 0, -31516631695360, -43183061648736, 0, -105824692447600, -20971520000000, 0, 46706230129920, 1117101201779520, 0, -184603809843750, 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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: 47152973
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996542140506, 'source_is_minimal': True, 'source_label': '90.16.a.k.1.2', 'source_level': 90, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996542140506, 'target_is_minimal': True, 'target_label': '90.16.a.k.1.2', 'target_level': 90, 'twist_class_label': '90.16.a.k.1.2', 'twist_class_level': 90, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 16}
  • id: 47152974
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996542140506, 'source_is_minimal': True, 'source_label': '90.16.a.k.1.2', 'source_level': 90, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043195796881498, 'target_is_minimal': True, 'target_label': '90.16.a.m.1.2', 'target_level': 90, 'twist_class_label': '90.16.a.k.1.2', 'twist_class_level': 90, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 274700
    {'charpoly_factorization': [[[128, 1], 2]], 'hecke_orbit_code': 45035996542140506, 'p': 2}
  • id: 274701
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996542140506, 'p': 3}
  • id: 274702
    {'charpoly_factorization': [[[-78125, 1], 2]], 'hecke_orbit_code': 45035996542140506, 'p': 5}
  • id: 274703
    {'charpoly_factorization': [[[447259416604, 1761200, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 7}
  • id: 274704
    {'charpoly_factorization': [[[-2597247548387316, 11981640, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 11}
  • id: 274705
    {'charpoly_factorization': [[[1429200357525616, -88928320, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 13}
  • id: 274706
    {'charpoly_factorization': [[[-6577519906494148716, 234312756, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 17}
  • id: 274707
    {'charpoly_factorization': [[[2112570716724871216, -3086064208, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 19}
  • id: 274708
    {'charpoly_factorization': [[[-403813519466528808000, -7357553280, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 23}
  • id: 274709
    {'charpoly_factorization': [[[-110825351429571721116, 106516740300, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 29}
  • id: 274710
    {'charpoly_factorization': [[[-5357438722910023953584, 80812338008, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 31}
  • id: 274711
    {'charpoly_factorization': [[[-212005765506840873802496, 783787471400, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 37}
  • id: 274712
    {'charpoly_factorization': [[[-112969303991068936320000, 125811612720, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 41}
  • id: 274713
    {'charpoly_factorization': [[[-6622187325962066574598976, 700693895840, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 43}
  • id: 274714
    {'charpoly_factorization': [[[932060285085336268680000, -2028162668400, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 47}
  • id: 274715
    {'charpoly_factorization': [[[50756223366786056560793604, -16011801636996, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 53}
  • id: 274716
    {'charpoly_factorization': [[[-75912034703249243896948116, -20778903613320, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 59}
  • id: 274717
    {'charpoly_factorization': [[[-879157307391328767064997756, -6823475639524, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 61}
  • id: 274718
    {'charpoly_factorization': [[[-2208034840082013437938085264, -21554311388800, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 67}
  • id: 274719
    {'charpoly_factorization': [[[-2645095018035960705809079504, -48887974479120, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 71}
  • id: 274720
    {'charpoly_factorization': [[[-2436407894938842548186219900, 37196698499300, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 73}
  • id: 274721
    {'charpoly_factorization': [[[-10300850745796494066989446064, 125355565580312, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 79}
  • id: 274722
    {'charpoly_factorization': [[[29939973481451255935471844976, -365242719675648, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 83}
  • id: 274723
    {'charpoly_factorization': [[[-18852487574217867869837329584, -329691731091240, 1], 1]], 'hecke_orbit_code': 45035996542140506, 'p': 89}
  • id: 274724
    {'charpoly_factorization': [[[-19526214410807434994286157916, 37249221079340, 1], 1]], 'hecke_orbit_code': 45035996542140506, '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': 11, 'label': '90.16.a.k', 'level': 90, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55368583
    {'hecke_orbit_code': 45035996542140506, 'n': 1, 'trace_an': 2}
  • id: 55368584
    {'hecke_orbit_code': 45035996542140506, 'n': 2, 'trace_an': -256}
  • id: 55368585
    {'hecke_orbit_code': 45035996542140506, 'n': 3, 'trace_an': 0}
  • id: 55368586
    {'hecke_orbit_code': 45035996542140506, 'n': 4, 'trace_an': 32768}
  • id: 55368587
    {'hecke_orbit_code': 45035996542140506, 'n': 5, 'trace_an': 156250}
  • id: 55368588
    {'hecke_orbit_code': 45035996542140506, 'n': 6, 'trace_an': 0}
  • id: 55368589
    {'hecke_orbit_code': 45035996542140506, 'n': 7, 'trace_an': -1761200}
  • id: 55368590
    {'hecke_orbit_code': 45035996542140506, 'n': 8, 'trace_an': -4194304}
  • id: 55368591
    {'hecke_orbit_code': 45035996542140506, 'n': 9, 'trace_an': 0}
  • id: 55368592
    {'hecke_orbit_code': 45035996542140506, 'n': 10, 'trace_an': -20000000}
  • id: 55368593
    {'hecke_orbit_code': 45035996542140506, 'n': 11, 'trace_an': -11981640}
  • id: 55368594
    {'hecke_orbit_code': 45035996542140506, 'n': 12, 'trace_an': 0}
  • id: 55368595
    {'hecke_orbit_code': 45035996542140506, 'n': 13, 'trace_an': 88928320}
  • id: 55368596
    {'hecke_orbit_code': 45035996542140506, 'n': 14, 'trace_an': 225433600}
  • id: 55368597
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